I. Summary of Available Tables that can be queried using the NLST Database Query Tool

 

1. Demographics Table

One observation per participant enrolled in NLST.  Randomized ineligibles are included and are identified by the ELIG variable.

Rows available for viewing: 53,452.

Rows are Unique by: (1) Pid

Variable for merging as primary key: PID

Variable for merging as foreign key: PID

Demographic (p. 14):

Pid

CTIL_ID

Rndgroup

Study

Age

Cen

Gender

Race

Ethnic

Marital

Educat

Weight

Height

Elig

Ineligible

 

 

 

 

 

 

 

 

 

 

 

2. Lung Cancer Diagnosis Table

One observation per participant enrolled in NLST.

Rows available for viewing: 53,452.

Rows are Unique by: (1) Pid

Variable for merging as primary key: PID

Variable for merging as foreign key: PID

Lung Cancer Diagnosis (p. 17):

Pid

CTIL_ID

Conflc

Candx_days

Cancyr

Can_scr

De_stag

De_grade

De_type

Locrup

Locrmid

Locrlow

Loclup

Loclin

Locllow

Locrhil

Loclhil

Locrmsb

Loclmsb

Loccar

Locmed

Locoth

Locunk

Lesionsize

 

proclc

bioplc

invaslc

medcomplc

Treatlc

Canc_free_days

Canc_rpt_link

Canc_rpt_source

 

 

 

 

 

 

 

3. Smoking History Table

One observation per participant enrolled in NLST.

Rows available for viewing: 53,452.

Rows are Unique by: (1) Pid

Variable for merging as primary key: PID

Variable for merging as foreign key: PID

Smoking History (p. 21):

Pid

CTIL_ID

Cigsmok

Pkyr

Smokeyr

Smokeday

Smokeage

Age_quit

Cigar

Pipe

Smokelive

Smokework

 

 

 

 

 

 

 

 

 

 

 

 

 

 

4. Death Last Contact EVP Table

One observation per participant enrolled in NLST.

Rows available for viewing: 53,452.

Rows are Unique by: (1) Pid

Variable for merging as primary key: PID

Variable for merging as foreign key: PID

Death / Last Contact / EVP (p. 24):

Pid

CTIL_ID

Finaldeathlc

Dcfdeathlc

Dcficd

Death_days

Fup_days

Deathstat

Deathcutoff

Hasdcf

Contactstatus

Wdlost

Evpsel

Evp_revr

Evpsent

Evpcert

Evpdeath

Evpdirect

Evpincomplete

Ndicd

 

 

 

 

 

 

 

 

 


 

5. Medical History Table

One observation per participant enrolled in NLST.  Randomized ineligibles are included and are identified by the ELIG variable.

Rows available for viewing: 53,452.

Rows are Unique by: (1) Pid

Variable for merging as primary key: PID

Variable for merging as foreign key: PID

Medical History (p. 29):

Pid

CTIL_ID

diagasbe

diagadas

diagchas

diagbron

diagchro

diagcopd

diagdiab

diagemph

diagfibr

diaghear

diagpneu

diagsarc

diagsili

diagtube

diaghype

diagstro

 

 

 

ageasbe 

ageadas 

agechas 

agebron 

agechro 

agecopd 

agediab 

ageemph 

agefibr 

agehear 

agepneu 

agesarc 

agesili 

agetube 

agehype 

agestro 

 

cancblad

cancbrea

canccerv

canccolo

cancesop

canckidn

canclary

canclung

cancoral

cancnasa

cancpanc

cancphar

cancstom

cancthyr

canctran

 

ageblad 

agebrea 

agecerv 

agecolo 

ageesop 

agekidn 

agelary 

agelung 

ageoral 

agenasa 

agepanc 

agephar 

agestom 

agethyr 

agetran 

 

 

 

 

 

 

6. Family Lung Cancer History Table

One observation per participant enrolled in NLST.

Rows available for viewing: 53,452.

Rows are Unique by: (1) Pid

Variable for merging as primary key: PID

Variable for merging as foreign key: PID

Family Lung Cancer History (p. 33):

Pid

CTIL_ID

Famfather

Fammother

Fambrother

Famsister

Famchild

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

7. Alcohol History Table

One observation per participant enrolled in NLST.

Rows available for viewing: 53,452.

Rows are Unique by: (1) Pid

Variable for merging as primary key: PID

Variable for merging as foreign key: PID

Alcohol History (p. 34):

Pid

CTIL_ID

Lss_alcohol_freq

Lss_alcohol_num

Acrin_alc_ever

Acrin_alc_curr

Acrin_lastdrink

Acrin_drinkyrs_form

Acrin_drinknum_form

Acrin_drinkyrs_curr

Acrin_drinknum_curr

Acrin_drink24hr

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

8. Work History Table

One observation per participant enrolled in NLST.

Rows available for viewing: 53,452.

Rows are Unique by: (1) Pid

Variable for merging as primary key: PID

Variable for merging as foreign key: PID

Work History (p. 37):

Pid

CTIL_ID

wrkasbe

wrkbaki

wrkbutc

wrkchem

wrkcoal

wrkcott

wrkfarm

wrkfire

wrkflou

wrkfoun

wrkhard

wrkpain

wrksand

wrkweld

 

yrsasbe

yrsbaki

yrsbutc

yrschem

yrscoal

yrscott

yrsfarm

yrsfire

yrsflou

yrsfoun

yrshard

yrspain

yrssand

yrsweld

 

resasbe

resbaki

resbutc

reschem

rescoal

rescott

resfarm

resfire

resflou

resfoun

reshard

respain

ressand

resweld

 

 

 

 

 

 

 

 

 

 

 

 

 

9. IMS Derived Person Variables Table

One observation per participant enrolled in NLST.

Rows available for viewing: 53,452.

Rows are Unique by: (1) Pid

Variable for merging as primary key: PID

Variable for merging as foreign key: PID

IMS Derived Person Variables (p. 40):

Pid

CTIL_ID

sct_image_has_lss         

sct_image_years_lss       

num_screens               

num_pos_screens           

num_neg_screens           

num_false_pos_scr         

years_scr_to_dx           

last_screen_result        

last_screen_studyyr       

lstscr_largest_nodule_diam

lstscr_num_nodule         

anyscr_has_nodule         

anyscr_largest_nodule_diam

anyscr_has_micronodule    

anyscr_has_calc_nodule    

anyscr_has_atelec         

anyscr_has_thicken        

anyscr_has_adeno          

anyscr_has_wallabn        

anyscr_has_consol         

anyscr_has_emphys         

anyscr_has_cardio         

anyscr_has_reticu         

anyscr_has_6nodules       

anyscr_has_abovediam      

anyscr_has_belowdiam      

anyscr_has_minor          

 

 

 

 

 

 

 

10. Screening Results Table

One observation per study year enrolled in NLST.

Rows available for viewing: 160,356.

Rows are Unique by: (1) Pid, (2) Study_YR

Variable for merging as primary key: either PID for a table with PID as being unique or PID and Study_YR for tables with PID and Study_YR as being unique.

Variable for merging as foreign key: either PID for a table with PID as being unique or PID and Study_YR for tables with PID and Study_YR as being unique.

Screening Results (p. 43):

Pid

CTIL_ID

study_yr

Scr_days

Scr_res

Scr_iso

Scr_lat

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

11. Positive Screen Followup Procedures Table

One observation per participant per study year enrolled in NLST.

Rows available for viewing: 160,356.

Rows are Unique by: (1) Pid, (2) Study_YR

Variable for merging as primary key: either PID for a table with PID as being unique or PID and Study_YR for tables with PID and Study_YR as being unique.

Variable for merging as foreign key: either PID for a table with PID as being unique or PID and Study_YR for tables with PID and Study_YR as being unique.

Positive Screen Follow-Up Procedures (p. 46):

Pid

CTIL_ID

study_yr

Mra_stat

No_proc_reas

Proc

Biop

Invas

Medcomp

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

12. IMS Derived Spiral CT Screening Variables Table

One observation per participant per study_yr enrolled in NLST.

Rows available for viewing: 80,166.

Rows are Unique by: (1) Pid, (2) Study_YR

Variable for merging as primary key: either PID for a table with PID as being unique or PID and Study_YR for tables with PID and Study_YR as being unique.

Variable for merging as foreign key: either PID for a table with PID as being unique or PID and Study_YR for tables with PID and Study_YR as being unique.

IMS Derived Person Variables (p. 48):

Pid

CTIL_ID

study_yr               

image_has_lss          

cancer_seen            

years_scr_to_dx        

false_pos_scr          

pos_screen             

is_last_screen         

screen_order           

largest_nodule_diam    

num_nodule             

has_soft_tissue_nodule 

has_ground_glass_nodule

has_mixed_nodule       

has_fluid_nodule       

has_fat_nodule         

nodule_grew            

nodule_atten_change    

 

 

has_micronodule        

has_calc_nodule        

has_atelec             

has_thicken            

has_adeno              

has_wallabn            

has_consol             

has_emphys             

has_cardio             

has_reticu             

has_6nodules           

has_abovediam          

has_belowdiam          

has_minor     

 

 

 

 

 

 

 

 

 

 

 

13. SCT Image Info Table

One observation per participant per study_yr per series_uid enrolled in NLST.

Rows available for viewing: 139,517.

Rows are Unique by: (1) serial_number

Variable for merging as primary key: The primary key for this table cannot be used to merge with other tables since no other tables contain these numbers.

Variable for merging as foreign key: either PID for table with PID as being unique or PID and Study_YR for tables with PID and Study_YR as being unique.

SCT Image Info (p. 51):

pid                     

serial_number           

ctil_id                 

study_yr                

visit                   

study_serialno          

seriesdescription       

imagetype               

kvp                     

mas                     

effmas                  

pitch                   

tablerotation           

reconthickness          

reconinterval           

reconfilter             

reconstruction_diameter 

manufacturer            

manufacturers_model_name

scannercode             

softwareversion         

seriesinstanceuids      

studyuid                

numberimages            

imagessize

 

 

 

 

 

 

 

 

 

II. Detailed Variable Definitions for each of the above tables

 

 

Tables with one record per participant

Variable Name

Variable Definition

Value

Possible Returned Result Values

  1. Demographics Table

Pid

Participant identifier

1xx,xxx

LSS Participants (1xxxxx)

2xx,xxx

ACRIN Participants (2xx,xxx)

CTIL_ID

LSS Participant identifier

 

LSS Participants (0xxxxx or 1xxxxx or 2xxxxx or 3xxxxx)

Rndgroup

Study arm

1

Spiral CT

2

X-ray

Study

Trial component (LSS or ACRIN)

1

LSS

2

ACRIN biomarkers

3

ACRIN no biomarkers

Age

Age at randomization

Numeric

43-79

Cen

Screening Center (masked)

Some ACRIN participants switched institutions during the screening phase of the trial.  The institution given in Cen is their institution at the end of the trial.  For LSS, the institution at randomization is provided in Cen .

 

 

AA - BG

Gender

Gender

1

Male

2

Female

Race

Race

 

 

1

White

2

Black or African-American

3

Asian

4

American Indian or Alaskan Native

5

Native Hawaiian or Other Pacific Islander

6

More than one race

7

Participant refused to answer

95

Missing data form - form is not expected to ever be completed

96

Missing - no response

97

Missing - form not submitted

98

Missing - form was submitted and the answer was left blank

99

Unknown/ declined to answer

Ethnic

Ethnicity

 

 

1

Hispanic or Latino

2

Neither Hispanic nor Latino

7

Participant refused to answer

95

Missing data form - form is not expected to ever be completed

97

Missing - form not submitted

98

Missing - form was submitted and the answer was left blank

99

Unknown/ declined to answer

Marital

Marital Status 

Collected at baseline

LSS question (MHQ form):  What is your current marital status?

ACRIN question (DP form):  Indicate your marital status

1

2

3

4

5

7

9

.M

Never married

Married or living as married

Widowed

Separated

Divorced

Participant refused to answer

Not Ascertained

Missing

Educat

Highest level of education completed

 

 

1

8 th grade or less

2

9 th -11 th grade

3

High school graduate/GED

4

Post high school training, excluding college

5

Associate degree/ some college

6

Bachelors Degree

7

Graduate School

8

Other

95

Missing data form - form is not expected to ever be completed

97

Missing - form not submitted

98

Missing - form was submitted and the answer was left blank

99

Unknown/ decline to answer

Weight

Weight in pounds (self-report)

Collected at baseline

LSS question (MHQ form):  What is your current weight?

ACRIN question (DP form):  What is your current weight?

Numeric

.M

 

Numeric (75 to 446)

 

Missing

 

Height

Height in inches (self-report)

Collected at baseline

LSS question (MHQ form):  How tall are you? (With a space provided for feet and inches.)

ACRIN question (DP form):  How tall are you? (With a space provided for feet and inches.)

Numeric

.M

 

Numeric (32 to 87)

Missing

 

Elig

Does participant meet eligibility criteria?

 

0

Ineligible Participant Randomized

2

Eligible Participant

Ineligible

Reason for ineligibility

Discovered after randomization

LSS question (PHVF):   Reason for ineligibility

ACRIN question (PR form):   Reason for ineligibility

 

Both the ACRIN and LSS data forms allowed multiple reasons for ineligibility.  A small number of ACRIN participants had multiple reasons recorded.  For these ACRIN participants, a hierarchy equivalent to the list on the right (smaller values take priority over larger values) was used.]  No LSS participants had multiple reasons for ineligibility recorded.

1

2

3

4

5                     6

7

8

9

10

11

12

13

14

.N

Age <55 or >74 yrs

Non-smoker or quit > 15 years

Insufficient pack years

CT within 18 months enrollment

Ppt in another ca screening trial

Ppt in another ca prevention trial

Previous LC

Portion of lung removed

Cancer within past 5 years

Physical impairments to screening

Metallic implants

Home oxygen

Unexplained weight loss or Hemoptysis

Recent antibiotics use

Not ineligible

 

 

 

 

2. Lung Cancer Diagnosis Table

Pid

Participant identifier

1xx,xxx

LSS Participants (1xxxxx)

2xx,xxx

ACRIN Participants (2xx,xxx)

CTIL_ID

LSS Participant identifier

 

LSS Participants (0xxxxx or 1xxxxx or 2xxxxx or 3xxxxx)

Conflc

Outcome of lung cancer report

 

 

0

No Report

1

Follow-up collected - Confirmed Lung Cancer

2

Follow-up Collected - Confirmed Not Lung Cancer

3

Medical Records cannot be obtained

4

Pending

Candx_days

Number of days from randomization to first diagnosis of lung cancer

 

Numeric

Numeric ( 0 to 2618)

.N

No diagnosis date on record

Cancyr

 

 

 

 

 

Study year associated with first confirmed lung cancer.

 

 

 

 

 

 

0

T0

1

T1

2

T2

3

T3

4-7

T4-T7

.N

Not Applicable

Can_scr

Result of screen associated with the first confirmed lung cancer diagnosis

 

0

No Cancer

1

Positive Screen

2

Negative Screen

3

Missed Screen

4

Post Screening

De_stag

Lung cancer stage (AJCC 6)

 

3

Stage IA

4

Stage IB

5

Stage II

6

Stage IIA

7

Stage IIB

8

Stage IIIA

9

Stage IIIB

10

Stage IV

11

Occult Carcinoma

94

Carcinoid, cannot be assessed

96

Cannot be assessed

98

TNM not available

99

Missing TNM

.N

Not Applicable

De_grade

 

 

 

 

 

Lung cancer grade

 

 

 

 

 

1

Grade Cannot Be Assessed (GX)

2

Well Differentiated (G1)

3

Moderately Differentiated (G2)

4

Poorly Differentiated (G3)

5

Undifferentiated (G4)

6

Unspecified in Pathology Report

8

Unknown

9

Missing

.N

Not Applicable

De_type

Lung cancer type from ICD-O-3 morphology

.N

Not Applicable

.M

Missing

 

 

 

 

 

 

 

 

 

Locxxx

 

 

LOCRUP

LOCRMID

LOCRLOW

LOCLUP

LOCLIN

LOCLLOW

LOCRHIL

LOCLHIL

LOCRMSB

LOCLMSB

LOCCAR

LOCMED

LOCOTH

LOCUNK

Location(s) of primary tumor

A single tumor may be in multiple locations.  These are binary variables, coded 0=no 1=yes .N=Not Applicable.

Right upper lobe

Right middle lobe

Right lower lobe

Left upper lobe

Lingula

Left lower lobe

Right Hilum

Left Hilum

Right main stem bronchus

Left main stem bronchus

Carina

Mediastinum

Other

Unknown

0

1

.N

No

Yes

Not Applicable

 

 

Lesionsize

 

Tumor Size (mm)

 

For LSS, the size comes from pathology. 

For ACRIN, the size may come either from pathology or from clinical sources.

Numeric

Numeric (1 to 260)

.M

Missing

.N

Not Applicable

 

 

Proclc

Had any procedure related to lung cancer?

 

0

No

1

Yes

Bioplc

Had a biopsy related to lung cancer?

 

proc_num in (1,2,3,4,8,9,10,29,43,46,50,52,53,58,59)

 

0

No

1

Yes

Invaslc

Had an invasive procedure related to lung cancer?

proc_num in (1,2,3,4,8,9,10,29,30,43,45,46,47,49,50,52,53,54,58,59)

0

No

1

Yes

Medcomplc

Had any complications related to lung cancer?

0

No

1

Yes

Treatlc

Had treatment for lung cancer?

1

Confirmed treatment

2

Confirmed no treatment

3

Treatment data incomplete

.N

Not Applicable

Canc_free_days

Number of days from randomization to date when participant was last known to be free from lung cancer

 

For confirmed lung cancers, ACRIN uses diagnosis date as date last known cancer free, while LSS uses date of previous ASU form.

 

Numeric

Numeric (0 to 2983)

Canc_rpt_link

Is the reported lung cancer linked to a positive screen?

0

No

1

Yes

Canc_rpt_source

 

 

Source of lung cancer report

 

0

No Report

1

ASU or F1/F2

2

Death Certificate

3

CC/CNF

4

EVP

5

Medical Records Abstraction

7

NDI

 

 

 

 

 

 

 

 

 

 

 

 

3. Smoking History Table

Pid

Participant identifier

1xx,xxx

LSS Participants (1xxxxx)

2xx,xxx

ACRIN Participants (2xx,xxx)

CTIL_ID

LSS Participant identifier

 

LSS Participants (0xxxxx or 1xxxxx or 2xxxxx or 3xxxxx)

Cigsmok

Smoking status at baseline

0

Former

1

Current

Pkyr

Pack year history at baseline

Calculated as: ( Smokeyr x Smokeday / 20)

Numeric

Numeric (15 to 567.60) 

Allow 2 significant digits

Smokeyr

Total years of smoking

Collected at baseline

ACRIN question (E1 form):  For how many years total have you smoked cigarettes?

LSS questions (EVF form):  

    At what age did you begin to smoke? 

    At what age did you quit smoking for the last time?

    In the years you have smoked, was there ever a period of one or more years in which you did not smoke cigarettes? 

        (Current smokers) Between when you started smoking and now, for how many years in total did you not smoke cigarettes? 

        (Former smokers) Between when you started smoking and finally quit smoking, for how many years in total did you not smoke cigarettes?

  For LSS former smokers, smokeyr = age_quit - smokeage - years not smoked

  For LSS current smokers, smokeyr = age at randomization - smokeage - years not smoked

Numeric

Numeric (10 to 68)

 

Smokeday

Average number of cigarettes smoked per day

Collected at baseline ACRIN question (E1 form):  How many cigarettes smoked per day (on average)?

LSS question (EVF form):   During the times that you’ve smoked, how many cigarettes did you usually smoke per day?

Numeric

Numeric (10 to 258)

Smokeage

Age began smoking

Collected at baseline

ACRIN question (E1 form):  At what age did you start smoking cigarettes?

LSS question (EVF form):  At what age did you begin to smoke?

Numeric

.M

Numeric (2 to 56)

Missing

Age_quit

Age at smoking cessation

Collected at baseline

ACRIN question (SS form):  How old were you when you stopped smoking cigarettes for good?

Note:  Some participants who reported that they were current smokers answered this question.  For these participants, age_quit is provided even though this conflicts with their baseline smoking status.

LSS question (EVF form):  At what age did you quit smoking for the last time?

Numeric

.N

Numeric (11 to 74)

No age given

Cigar

Participant smokes/smoked cigars

Collected at baseline

LSS question (MHQ form):   Has there ever been a time in your life when you regularly smoked at least one cigar a month?

ACRIN question (SS form):  What forms of tobacco did/do you smoke?:  Cigar

0

1

.M

No

Yes

Missing

Pipe

Participant smokes/smoked a pipe

Collected at baseline

LSS question (MHQ form): Has there ever been a time in your life when you regularly smoked at least one pipeful of tobacco a month?

ACRIN question (SS form):  What forms of tobacco did/do you smoke?:  Pipe

0

1

.M

No

Yes

Missing

Smokelive

Participant lives/lived with smoker

Collected at baseline

LSS question (MHQ form):  Have you ever lived with a smoker?

ACRIN question (SS form):  Have you ever lived with someone who smoked in your home?

0

1

.M

No

Yes

Missing

Smokework

Participant works/worked with exposure to smokers

Collected at baseline

LSS question (MHQ form):  Have you ever worked in a room or closed space where people were often smoking?

ACRIN question (SS form):  Have you ever worked in a place where you were exposed to other people’s smoking?

0

1

.M

No

Yes

Missing

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

4. Death Last Contact EVP Table

Pid

Participant identifier

1xx,xxx

LSS Participants (1xxxxx)

2xx,xxx

ACRIN Participants (2xx,xxx)

CTIL_ID

LSS Participant identifier

 

LSS Participants (0xxxxx or 1xxxxx or 2xxxxx or 3xxxxx)

Finaldeathlc

Final lung cancer death (Combined best information: EVP supplemented with DCF)

 

0

Death not due to lung cancer

1

Death due to lung cancer or work-up of suspected lung cancer

.M

Death Reported, cause of death unknown

.N

No death reported

Dcfdeathlc

Is lung cancer the death certificate underlying cause of death?

 

 

 

0

Death not due to lung cancer

1

Death due to lung cancer

.M

Death Reported, DC cause of death unknown

.N

No death reported

Dcficd

Underlying cause of death from death certificate (ICD-10)

 

 

Letter with 2 or 3 digit code

Death_days

 

Number of days from randomization to death

 

The date of death is taken from the most definitive source available.

 

Numeric

Numeric (0 to 2624)

.N

No date of death on record

Fup_days

Number of days from randomization to date last known alive

 

End date for last self-reported follow-up period for the participant. 

For LSS, this is calculated as follows:

  1. Death date from death certificate
  2. Withdrawal date
  3. Latest ASU date
  4. Latest screen/randomization date

For ACRIN, this must be combined from various sources:

  1. Death date from death certificate (D1)
  2. Death date reported on FC
  3. Withdrawal date
  4. Latest interval date on F1/FC
  5. Latest screen/randomization date

 

0-2983

Numeric (0-2983)

Deathstat

Death status

 

Deathstat = 1 consists of the following types of deceased participants:

   a) Has death certificate and was selected for and completed the Endpoint Verification Process (EVP).

   b) Has death certificate and was not selected for EVP.

   c) No death certificate but was selected for and completed EVP.  A small number of participants with no death certificate were run through EVP near the time of study closeout.

 

 

0

No report of death

1

EVP certified

2

Death Certificate coded

3

Death Certificate received but not coded

4

Death reported, DC expected to be obtained

5

Death reported, DC cannot be obtained

6

NDI Exact match, DC not obtained

7

NDI Probable match, DC not obtained

Deathcutoff

Death before the cutoff date for lung cancer mortality analysis?

0

No death or no date of death

1

Death Included

2

Death Not Included

Hasdcf

Has death certificate?

 

If hasdcf=0, then dcficd is missing.

1

DC was obtained and coded

0

Alive or DC was not both obtained and coded

Contactstatus

Status of participant at the end of the study (12/31/2009)

 

Note that a small subset (<  1%) of participants who are "Alive and Actively Participating" have a last follow-up date before 12/31/2009.  Some of them were considerably earlier than 12/31/2009.

1

Alive and Actively Participating

2

Deceased

3

Randomized but never participated

4

Withdrawn or lost contact from Study

 

Wdlost

Reason why participant withdrew from study or lost contact

 

 

 

 

0

Not withdrawn or Lost Contact

1

Participant withdrew consent

2

Participant refused further participation for non-medical reasons

3

Participant refused further participation due to physical illness/cognitive impairment

4

Lost Contact/Cannot Locate/No active contact with participant

5

Administrative withdrawal

Evpsel

Death selected for Endpoint Verification Process (EVP)?

0

Run through algorithm and not selected for EVP

1

Selected for EVP

2

Late algorithm run (near study closeout date); not selected for EVP

.N

No death certificate coded (or not dead)

Evp_revr

Highest level of EVP completed

 

(CDQ = Cause of Death Questionnaire, the form completed by EVP team members)

0

No chair-level CDQ completed (includes if only CDQ received says chair unblinded or needs more information)

1

Chair-level CDQ completed (includes if chair was unblinded and a member completed the chair-level review)

2

Member-level CDQ completed

3

Team CDQ completed

4

No CDQ completed , no records available

.N

No death certificate coded (or not deceased)

Evpsent

Did death undergo EVP review?

0

Records not sent to EVP

1

Records sent to EVP

.N

No records available

Evpcert

Was death EVP certified?

0

Not Certified

1

Certified (with or without review)

.N

No death certificate coded (or not dead)

Evpdeath

Cause of death according to EVP

1

Death due to lung cancer

2

Other cancer

3

Not cancer

4

Death due to diagnostic evaluation for a suspected lung cancer

.N

Not Certified or Not Selected

Evpdirect

For EVP certified deaths from lung cancer (EVPDEATH in 1, 4), is death the DIRECT, INDIRECT, or DIRECT AND INDIRECT result of lung cancer?

 

 

1

Direct, result of lung cancer

2

Indirect, result of diagnostic evaluation

3

Indirect, result of treatment

4

Indirect, result of diagnostic evaluation and treatment

5

Direct  and indirect, result of lung cancer and diagnostic evaluation

6

Direct  and indirect, result of lung cancer and treatment

7

Direct  and indirect, results of lung cancer, diagnostic evaluation, and treatment

8

None of the above/Incomplete

.N

Death NOT due to lung cancer or no death (EVPDEATH in 2,3,.N)

Evpincomplete

Reason why EVP Review could not be completed.

1

Reviewer is unblinded

2

Reviewer requires additional documentation(ADR)

3

Reviewer requires pathology and/or radiology review (PRR)

4

Reviewer requires both ADR and PRR

5

Medical records do not exist

6

Medical records cannot be obtained

7

Medical records are inadequate and additional documentation cannot be obtained

8

No resolution was reached before the study was locked.

.N

Not Applicable

Ndicd

Underlying cause of death from final NDI+ search (ICD-10) 

 

This variable is only populated if deathstat in (6,7)

 

Letter with 3 digit code.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

5. Medical History Table

Pid

Participant identifier

1xx,xxx

LSS Participants (1xxxxx)

2xx,xxx

ACRIN Participants (2xx,xxx)

CTIL_ID

LSS Participant identifier

 

LSS Participants (0xxxxx or 1xxxxx or 2xxxxx or 3xxxxx)

Diagxxxx

     asbe

     adas

     chas

     bron

     chro

     copd

     diab

     emph

     fibr

     hear

     pneu

     sarc

     sili

     tube

     hype

     stro

Diagnosed with xxxx?

Asbestosis

Asthma as an adult

Asthma as a child

Bronchiectasis

Chronic bronchitis

COPD

Diabetes

Emphysema

Fibrosis of the lung

Heart disease or heart attack

Pneumonia

Sarcoidosis

Silicosis

Tuberculosis

Hypertension

Stroke

Collected at baseline

ACRIN question (DP form):  Has a doctor ever told you that you have any of the conditions or illnesses listed below?

LSS question (MHQ form):   Has a doctor ever told you that you had or have any of the conditions or illnesses listed below?

0

1

.M

No

Yes

Missing

Agexxxx

     asbe

     adas

     chas

     bron

     chro

     copd

     diab

     emph

     fibr

     hear

     pneu

     sarc

     sili

     tube

     hype

     stro

Age at diagnosis with xxxx?

Asbestosis

Asthma as an adult

Asthma as a child

Bronchiectasis

Chronic bronchitis

COPD

Diabetes

Emphysema

Fibrosis of the lung

Heart disease or heart attack

Pneumonia

Sarcoidosis

Silicosis

Tuberculosis

Hypertension

Stroke

Collected at baseline

ACRIN question (DP form):  If yes, age at first diagnosis:

LSS question (MHQ form):   Age at diagnosis

###

.M

.N

0-97 years

Missing

Not Applicable

Cancxxxx

     blad

     brea

     cerv

     colo

     esop

     kidn

     lary

     oral

     nasa

     phar

     lung

     panc

     stom

     thyr

     tran

Diagnosed with xxxx?

Bladder Cancer

Breast Cancer

Cervical Cancer

Colorectal Cancer

Esophageal Cancer

Kidney Cancer

Larynx Cancer

Oral Cancer

Nasal Cancer

Pharynx Cancer

Lung Cancer

Pancreatic Cancer

Stomach Cancer

Thyroid Cancer

Transitional Cell Cancer

Collected at baseline

ACRIN question (DP form):  Has a doctor ever told you that you have any of the cancers listed below?

LSS question (MHQ form):   Have you ever been diagnosed as having any of the cancers listed below?

0

1

.M

No

Yes

Missing

Agexxxx

     blad

     brea

     cerv

     colo

     esop

     kidn

     lary

     oral

     nasa

     phar

     lung

     panc

     stom

     thyr

     tran

Age at first diagnosis of xxxx

Bladder Cancer

Breast Cancer

Cervical Cancer

Colorectal Cancer

Esophageal Cancer

Kidney Cancer

Larynx Cancer

Oral Cancer

Nasal Cancer

Pharynx Cancer

Lung Cancer

Pancreatic Cancer

Stomach Cancer

Thyroid Cancer

Transitional Cell Cancer

Collected at baseline

ACRIN question (DP form): If yes, age at diagnosis:

LSS question (MHQ form):   Age at diagnosis

###

.M

.N

9-76 years

Missing

Not Applicable

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

6. Family Lung Cancer History Table

Pid

Participant identifier

1xx,xxx

LSS Participants (1xxxxx)

2xx,xxx

ACRIN Participants (2xx,xxx)

CTIL_ID

LSS Participant identifier

 

LSS Participants (0xxxxx or 1xxxxx or 2xxxxx or 3xxxxx)

Famxxxx

     father

     mother

     sister

     brother

     child

Has xxxx ever had lung cancer?

Father

Mother

One or more sister(s), including half-sisters

One or more brother(s), including half-brothers

Child (biological)

Collected at baseline

ACRIN question (DP form): Have any of the following blood relatives ever had lung cancer?

LSS question (MHQ form):   Have any of the following blood relatives ever had lung cancer?

0

1

.M

 

No

Yes

Missing

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

7. Alcohol History Table

Pid

Participant identifier

1xx,xxx

LSS Participants (1xxxxx)

2xx,xxx

ACRIN Participants (2xx,xxx)

CTIL_ID

LSS Participant identifier

 

LSS Participants (0xxxxx or 1xxxxx or 2xxxxx or 3xxxxx)

Lss_alcohol_freq

How often do you have a drink containing alcohol?

Collected at baseline

LSS only

1

Never

2

Monthly or less often

3

Two to four times a month

4

Two to three times a week

5

Four or more times a week

.M

Missing

.N

Not applicable (ACRIN participant)

Lss_alcohol_num

Number of alcoholic drinks on typical day when drinking

Collected at baseline

LSS only

1

1

2

2-3

3

4

4

5-7

5

8 or more

.M

Missing

.N

Not applicable (ACRIN participant or non-drinker)

Acrin_alc_curr

Do you presently drink alcoholic beverages?

Collected at baseline

ACRIN only

 

Note:  Participants were not supposed to answer this if they said ‘no’ to the variable ACRIN_ALC_EVER, but some did answer this question anyway.  For these participants that did provide an answer, their answer was used to populate this variable.  Otherwise, their value is coded as .N.

1

No

2

Yes

.M

Missing

.R

Participant Refused to Answer

.N

Not Applicable (LSS participant or never drinker)

 

 

 

Acrin_alc_ever

Have you ever consumed alcoholic beverages?

Collected at baseline

ACRIN only

1

No

2

Yes

.M

Missing

.R

Participant Refused to Answer

.N

Not applicable (LSS participant)

Acrin_lastdrink

How long has it been since you last had an alcoholic drink?

Collected at baseline

ACRIN only

 

Note:  Participants were only supposed to answer this question if they said ‘no’ to the variable ACRIN_ALC_CURR, but some other participants provided an answer this question.  For these participants that did provide an answer, their answer was used to populate this variable.  Otherwise, their value is coded as .N.

1

Less than 1 year

2

1 year to 2 years

3

More than 2 years

.M

Missing

.R

Participant Refused to Answer

.N

Not Applicable (LSS participant or not a former drinker)

Acrin_drinkyrs_form

For how many years did you drink alcoholic beverages?

Collected at baseline

ACRIN only

Note:  Participants were only supposed to answer this question if they said ‘no’ to the variable ACRIN_ALC_CURR, but some other participants provided an answer this question.  For these participants that did provide an answer, their answer was used to populate this variable.  Otherwise, their value is coded as .N.

0-70

Numeric (0-70)

.M

Missing

.R

Participant Refused to Answer

.N

Not Applicable (LSS participant or not a former drinker)

Acrin_drinknum_form

What was the usual number of drinks you had per week before you stopped drinking alcoholic beverages? (one drink means 1 beer or 1 glass of wine or 1 shot of liquor, record 0 if less than 1 drink per week).

Collected at baseline

ACRIN only

Note:  Participants were only supposed to answer this question if they said ‘no’ to the variable ACRIN_ALC_CURR, but some other participants provided an answer this question.  For these participants that did provide an answer, their answer was used to populate this variable.  Otherwise, their value is coded as .N.

 

 

0-200

Numeric (0-200)

.M

Missing

.R

Participant Refused to Answer

.N

Not Applicable (LSS participant or not a former drinker)

Acrin_drinkyrs_curr

For how many years have you been drinking alcoholic beverages?

Collected at baseline

ACRIN only

Note:  Participants were only supposed to answer this question if they said ‘yes’ to the variable ACRIN_ALC_CURR, but some other participants provided an answer this question.  For these participants that did provide an answer, their answer was used to populate this variable.  Otherwise, their value is coded as .N.

0-70

Numeric (0-70)

.M

Missing

.R

Participant Refused to Answer

.N

Not Applicable (LSS participant or not a current drinker)

Acrin_drinknum_curr

What is the usual number of drinks you have per week? (one drink means 1 beer or 1 glass of wine or 1 shot of liquor, record 0 if less than 1 drink per week).

Collected at baseline

ACRIN only

Note:  Participants were only supposed to answer this question if they said ‘yes’ to the variable ACRIN_ALC_CURR, but some other participants provided an answer this question.  For these participants that did provide an answer, their answer was used to populate this variable.  Otherwise, their value is coded as .N.

0-90

Numeric (0-90)

.M

Missing

.R

Participant Refused to Answer

.N

Not Applicable (LSS participant or not a current drinker)

Acrin_drink24hr

During the past 24 hours, how many drinks have you had?

Collected at baseline

ACRIN only

Note:  Participants were only supposed to answer this question if they said ‘yes’ to the variable ACRIN_ALC_CURR, but some other participants provided an answer this question.  For these participants that did provide an answer, their answer was used to populate this variable.  Otherwise, their value is coded as .N.

0-50

Numeric (0-50)

.M

Missing

.R

Participant Refused to Answer

.N

Not Applicable (LSS participant or not a current drinker)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

8. Work History Table

Pid

Participant identifier

1xx,xxx

LSS Participants (1xxxxx)

2xx,xxx

ACRIN Participants (2xx,xxx)

CTIL_ID

LSS Participant identifier

 

LSS Participants (0xxxxx or 1xxxxx or 2xxxxx or 3xxxxx)

Wrkxxxx

     asbe

     baki

     butc

     chem

     coal

     cott

     farm

     fire

     flou

     foun

     hard

     pain

     sand

     weld

Has ever worked for 1 year or more with xxxx?

Asbestos

Baking

Butchering/meat packing

Chemicals/plastics manufacturing

Coal Mining

Cotton/jute processing

Farming

Fire fighting

Flour/feed or grain milling

Foundry/steel milling

Hard rock mining

Painting

Sandblasting

Welding

Collected at baseline

ACRIN question (DP form):  Have you ever worked for 1 year or more at any of the occupations listed below?

LSS question (MHQ form):   Do you or did you work in this industry or occupation for 12 months or more?

0

1

.M

No

Yes

Missing

Yrsxxxx

     asbe

     baki

     butc

     chem

     coal

     cott

     farm

     fire

     flou

     foun

     hard

     pain

     sand

     weld

Number of years working with xxxx ?

Asbestos

Baking

Butchering/meat packing

Chemicals/plastics manufacturing

Coal Mining

Cotton/jute processing

Farming

Fire fighting

Flour/feed or grain milling

Foundry/steel milling

Hard rock mining

Painting

Sandblasting

Welding

Collected at baseline

ACRIN question (DP form):  No. of years worked

LSS question (MHQ form):   No. of years

###

.N

.M

0-70 years

Not Applicable

Missing

Resxxxx

     asbe

     baki

     butc

     chem

     coal

     cott

     farm

     fire

     flou

     foun

     hard

     pain

     sand

     weld

When working with xxxx, was mask or other equipment to protect the lungs worn?

Asbestos

Baking

Butchering/meat packing

Chemicals/plastics manufacturing

Coal Mining

Cotton/jute processing

Farming

Fire fighting

Flour/feed or grain milling

Foundry/steel milling

Hard rock mining

Painting

Sandblasting

Welding

Collected at baseline

ACRIN question (DP form):  Did you wear a respirator?

LSS question (MHQ form):   Do you or did you usually wear a facemask or other equipment to protect your lungs while working?

*Note:  Option 2 ‘Sometimes’ was only available on the LSS form. 

0

1

2

.N

.M

No

Yes

Sometimes

Not Applicable

Missing

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Tables with one record per participant

Variable Name

Variable Definition

Value

Possible Returned Result Values

  1. IMS Derived Person Vars Table

Pid

Participant identifier

1xx,xxx

LSS Participants (1xxxxx)

2xx,xxx

ACRIN Participants (2xx,xxx)

CTIL_ID

LSS Participant identifier

 

LSS Participants (0xxxxx or 1xxxxx or 2xxxxx or 3xxxxx)

sct_image_has_lss

 

Has an SCT screening image for any study year (LSS only)

 

0

1

-99992

No

Yes

Not Applicable

sct_image_ years_lss

Number of years with an SCT screening image (LSS only)

0-3

Numeric (0-3)

num_screens

Count of screening rounds completed

0-3

Numeric (0-3)

num_pos_screens

Count of screening rounds with a positive result

0-3

Numeric (0-3)

num_neg_screens

Count of screening rounds with a negative result

0-3

Numeric (0-3)

num_false_pos_scr

Number of false positive screens

0-3

Numeric (0-3)

years_scr_to_dx

Number of years from last screen to diagnosis

0-6

Numeric (0-6)

last_screen_result

Result of the last screening exam

0

Never screened

1

Negative screen

2

Positive stability unknown

3

Positive stable

4

Positive other (compared and not noted to be stable)

last_screen_studyyr

Study year of the last screening exam

 

No Screen

0

Study year 0

1

Study year 1

2

Study year 2

lstscr_largest_nodule_diam

Diameter of largest non-calcified nodule/mass >=4mm (51) from the last screen

3-130

Numeric (3-130)
 

lstscr_num_nodule

Number of non-calcified nodules/masses >=4mm (51) found on the last screen

0-10

Numeric (0-10)
 

anyscr_has_nodule

Was a non-calcified nodule/mass >=4mm (51) found on any screen?

0

1

-99992

No

Yes

Not Applicable

anyscr_largest_nodule_diam

Diameter of the largest non-calcified nodule/mass >=4mm (abnormality 51) from any screen.

0

1

-99992

No

Yes

Not Applicable

anyscr_has_micronodule

Was a non-calcified nodule <4mm found on any screen?

0

1

-99992

No

Yes

Not Applicable

anyscr_has_calc_nodule

Was a benign lung nodule (benign calcification) found on any screen?

0

1

-99992

No

Yes

Not Applicable

anyscr_has_atelec

Was atelectasis, segmental or greater, found on any screen?

0

1

-99992

No

Yes

Not Applicable

anyscr_has_thicken

Was pleural thickening or effusion found on any screen?

0

1

-99992

No

Yes

Not Applicable

anyscr_has_adeno

Was a non-calcified hilar/mediastinal adenopathy or mass (>= 10 mm on short axis) found on any screen?

0

1

-99992

No

Yes

Not Applicable

anyscr_has_wallabn

Was a chest wall abnormality found on any screen?

0

1

-99992

No

Yes

Not Applicable

anyscr_has_consol

Was consolidation found on any screen?

0

1

-99992

No

Yes

Not Applicable

anyscr_has_emphys

Was emphysema found on any screen?

0

1

-99992

No

Yes

Not Applicable

anyscr_has_cardio

Was a significant cardiovascular abnormality found on any screen?

0

1

-99992

No

Yes

Not Applicable

anyscr_has_reticu

Was a reticular/reticulonodular opacity, honeycombing, fibrosis, or scar found on any screen?

0

1

-99992

No

Yes

Not Applicable

anyscr_has_6nodules

Were 6 or more nodules, not suspicious for cancer (opacity >=4mm) found on any one screen?

0

1

-99992

No

Yes

Not Applicable

anyscr_has_abovediam

Was any other potentially significant abnormality found above the diaphragm on any screen?

0

1

-99992

No

Yes

Not Applicable

anyscr_has_belowdiam

Was any other potentially significant abnormality found below the diaphragm on any screen?

0

1

-99992

No

Yes

Not Applicable

anyscr_has_minor

Was any other minor abnormality noted on any screen?

0

1

-99992

No

Yes

Not Applicable

 

 

 

 

 

 

Tables with one record per study year of screening

Variable Name

Variable Definition

Value

Possible Returned Result Values

  1. Screening Results Table

Pid

Participant identifier

1xx,xxx

LSS Participants (1xxxxx)

2xx,xxx

ACRIN Participants (2xx,xxx)

CTIL_ID

LSS Participant identifier

 

LSS Participants (0xxxxx or 1xxxxx or 2xxxxx or 3xxxxx)

Study_yr

Year of screen

0-2

0-2

Scr_days

Number of days from randomization to screening exam

-4 to 1502

Numeric (-4 to 1502)

.E

Screen date after lung cancer diagnosis

.W

Wrong Screen Administered

.N

No screen date on record

Scr_res

Final result of screening exam (after comparison with historical images)

This is the result recorded after comparing the image just obtained with prior images (including previous NLST screening exams).

 

1

Negative screen, no significant abnormalities

2

Negative screen, minor abnormalities not suspicious for lung cancer

3

Negative screen, significant abnormalities not suspicious for lung cancer

4

Positive, Change Unspecified, nodule(s) ³ 4 mm or enlarging nodule(s), mass(es), other non-specific abnormalities suspicious for lung cancer

5

Positive, No Significant Change, stable abnormalities potentially related to lung cancer, no significant change since prior screening exam.

6

Positive, other

10

Inadequate Image

11

Not Compliant - Left Study

13

Not Expected - Cancer before screening window

14

Not Expected - Death before screening window

15

Not Compliant - Refused a screen

17

Not Compliant - Wrong Screen

23

Not Expected - Cancer in screening window

24

Not Expected - Death in screening window

95

Not Compliant - Erroneous Report of Lung Cancer Before Screen (LSS Only)

97

Not Compliant - Form Not Submitted, Window Closed

Scr_iso

Preliminary result of screening exam (in isolation, before comparison with historical images)

This is the result recorded after looking at the image in isolation , i.e. with no comparison to any prior image.

 

 

1

Negative screen, no significant abnormalities

2

Negative screen, minor abnormalities not suspicious for lung cancer

3

Negative screen, significant abnormalities not suspicious for lung cancer

4

Positive, Change Unspecified, nodule(s) ³ 4 mm or enlarging nodule(s), mass(es), other non-specific abnormalities suspicious for lung cancer

10

Inadequate Image

11

Not Compliant - Left Study

13

Not Expected - Cancer before screening window

14

Not Expected - Death before screening window

15

Not Compliant - Refused a screen

17

Not Compliant - Wrong Screen

23

Not Expected - Cancer in screening window

24

Not Expected - Death in screening window

95

Not Compliant - Erroneous Report of Lung Cancer Before Screen (LSS Only)

97

Not Compliant - Form Not Submitted, Window Closed

Scr_lat

Received lateral Chest X-Ray?

(Note:  Receipt of a lateral chest x-ray is considered a protocol violation.

 

0

Did not receive lateral view chest x-ray (includes CT, X-Ray without lateral, no screen, etc)

1

Received lateral view chest x-ray

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

  1. Positive Screen Followup Procedures Table

Pid

Participant identifier

1xx,xxx

LSS Participants (1xxxxx)

2xx,xxx

ACRIN Participants (2xx,xxx)

CTIL_ID

LSS Participant identifier

 

LSS Participants (0xxxxx or 1xxxxx or 2xxxxx or 3xxxxx)

Study_yr

Year of screen

0-2

0-2

Mra_stat

 

 

 

Positive screen follow-up status by study year (from Medical Records Abstraction)

 

 

 

0

No Expectation

1

MRA Complete with Diagnostic Procedures

2

MRA Complete with clinical evaluation/radiograph-comparison with historical images only

3

MRA Complete with no procedures

4

MRA Complete, procedures indeterminate

5

Conflicting Data

No_proc_reas

Reason for no procedures when follow-up was expected 

 

0

No Expectation

1

Provider/Radiologist did not recommend follow-up

2

Participant declined to undergo follow-up

3

No follow-up for other reasons

4

No follow-up and reason unknown

Proc

Had a procedure related to positive screen?

 

 

 

 

 

0

No

1

Yes

Biop

Had a biopsy related to positive screen?

 

proc_num in (1,2,3,4,8,9,10,29,43,46,50,52,53,58,59)

0

No

1

Yes

 

 

 

 

 

Invas

Had an invasive procedure related to positive screen?

 

proc_num in (1,2,3,4,8,9,10,29,30,43,45,46,47,49,50,52,53,54,58,59)

0

No

1

Yes

Medcomp

Had any complications related to positive screen?

0

No

1

Yes

 

 

 

 

 

 

 

 

 

 

 

Tables with one record per year of screening

Variable Name

Variable Definition

Value

Possible Returned Result Values

  1. IMS Derived SCT Screen Vars Table

Pid

Participant identifier

1xx,xxx

LSS Participants (1xxxxx)

2xx,xxx

ACRIN Participants (2xx,xxx)

CTIL_ID

LSS Participant identifier

 

LSS Participants (0xxxxx or 1xxxxx or 2xxxxx or 3xxxxx)

Study_yr

Year of screen

0-2

0-2

image_has_lss

Is there an image available for this screen (LSS only)?

0

No

1

Yes

cancer_seen

Was the cancer likely to have been seen on the screening exam?

-99992

Not Applicable

1

Probably - cancer linked to screen or in same year as screen

2

Probably - Negative screen

3

Maybe - has cancer, but not in same year as screen

4

No - no cancer

years_scr_to_dx

Number of years from screen to diagnosis

0-7

Numeric (0-7)

false_pos_scr

Is the screen a false positive screen?

-99992

Not Applicable

0

No

1

Yes

3

Maybe, later cancer

9

Not positive screen

pos_screen

 

Was the SCT screen determined to be a positive screen?

 

0

No

1

Yes

is_last_screen

Is this screen the last screen for this participant?

0

No

1

Yes

screen_order

Order of this screen among all screens for this participant

-99992

Not Applicable

1

First Screen

2

Second Screen

3

Third Screen

4

Only Screen

largest_nodule_diam

Diameter of largest non-calcified nodule/mass >=4mm (51) found on the screen

3-195

Numeric (3-195)

num_nodule

Number of non-calcified nodules/masses >=4mm (51) found on the screen

0-12

Numeric (0-12)

has_soft_tissue_nodule

Has a non-calcified nodule/mass >=4mm (51) with primary attenuation of soft tissue

0

No

1

Yes

has_ground_glass_nodule

Has a non-calcified nodule/mass >=4mm (51) with predominant attenuation of ground glass.

0

No

1

Yes

has_mixed_nodule

Has a non-calcified nodule/mass >=4mm (51) with predominant attenuation of mixed

0

No

1

Yes

has_fluid_nodule

Has a non-calcified nodule/mass >=4mm (51) with predominant attenuation of fluid/water

0

No

1

Yes

has_fat_nodule

Has a non-calcified nodule/mass >=4mm (51) with predominant attenuation of fat

0

No

1

Yes

nodule_grew

Was there interval growth of a nodule/mass >=4mm (51)?

0

No

1

Yes

nodule_atten_change

Was there an interval suspicious change in attenuation of a nodule/mass >=4mm (51)?

0

No

1

Yes

has_micronodule

Was a non-calcified nodule <4mm found on the screen?

0

No

1

Yes

has_calc_nodule

Was a benign lung nodule (benign calcification) found on the screen?

0

No

1

Yes

has_atelec

Was atelectasis, segmental or greater, found on the screen?

0

No

1

Yes

has_thicken

Was pleural thickening or effusion found on the screen?

0

No

1

Yes

has_adeno

Was a non-calcified hilar/mediastinal adenopathy or mass (>= 10 mm on short axis) found on the screen?

0

No

1

Yes

has_wallabn

Was a chest wall abnormality found on the screen?

0

No

1

Yes

has_consol

Was consolidation found on the screen?

0

No

1

Yes

has_emphys

Was emphysema found on the screen?

0

No

1

Yes

has_cardio

Was a significant cardiovascular abnormality found on the screen?

0

No

1

Yes

has_reticu

Was a reticular/reticulonodular opacity, honeycombing, fibrosis, or scar found on the screen?

0

No

1

Yes

has_6nodules

Were 6 or more nodules, not suspicious for cancer (opacity >=4mm) found on this one screen?

0

No

1

Yes

has_abovediam

Was any other potentially significant abnormality found above the diaphragm on the screen?

0

No

1

Yes

has_belowdiam

Was any other potentially significant abnormality found below the diaphragm on the screen?

0

No

1

Yes

has_minor

Was any other minor abnormality noted on the screen?

0

No

1

Yes

 

 

 

 

 

Tables with one record per series per study year per participant

Variable Name

Variable Definition

Value

Possible Returned Result Values

  1. SCT Image Info Table

Pid

Participant identifier

1xx,xxx

LSS Participants (1xxxxx)

2xx,xxx

ACRIN Participants (2xx,xxx)

serial_number

Unique identifier for each row in this table (Primary Key)

1 to 159304

Numeric (1 to 159304)

CTIL_ID

LSS Participant identifier

 

LSS Participants (0xxxxx or 1xxxxx or 2xxxxx or 3xxxxx)

Study_YR

Year of screen

0-2

0-2

visit

If during a screening year, the images needed to be repeated because of issues, the subject may have more than one visit.

1 or 2

Numeric (1 or 2)

study_serialno

 

 

Numeric (1 to 53665)

seriesdescription

A description of the series containing the

 

Text

imagetype

Image type (localizer or axial images)

 

Text

Kvp

Kilovolt peak

 

Numeric (80, 90, 100, 110, 120, 130, 135, 140)

Mas

Milli-ampere second

 

Numeric (0 to 994)

Effmas

 

 

Numeric

Pitch

Pitch is the table travel per rotation divided by the collimation.

 

Numeric (0.75, 0.875, 1.25, 1.375, 1.5, 1.75)

Tablerotation

 

 

Numeric

Reconthickness

 

 

Numeric

Reconinterval

 

 

Numeric

Reconfilter

Name of the reconstruction filter used by the manufacturer to create the spiral computed tomography (SCT) images.

 

Numeric

Reconstruction_diameter

 

 

Numeric

Manufacturer

Name of the manufacturer who sold the spiral computed tomography scanner.

 

Text

Manufacturers_model_name

Model name given to the scanner by the manufacturer.

 

Text

Scannercode

 

 

Text

Softwareversion

 

 

Text

Seriesinstanceuids

New series instance uids

 

Text/numeric entries

Studyuid

New study instance uid

 

Text/numeric entries

Numberimages

Number of images contained within a series

 

Numeric

Imagessize

Total number of bytes contained within all of the images in a series.

 

Numeric


NOTE: The following 14 tables cannot be directly queried from the NLST Database Query Tool or seen in the Query Tool, but the contents of the 14 tables can be saved based on the query you created from the above 13 tables.  The query built from above uses the appropriate variable(s) to join to the tables below to return the correct results for saving.  The “Save Results From All Tables” button is used to save the results from all 27 of the tables.

 

1. Spiral CT Screening Dataset (One observation per study year of screening)

1. Spiral CT Screening Dataset (SCTSCREEN; One observation per study year of screening)

Variable Name

Variable Definition

Value

Possible Returned Result Values

Pid

Participant identifier

1xx,xxx

LSS Participants

2xx,xxx

ACRIN Participants

Study_yr

Year of screen

0-2

 

Reader_id

Unique identifier of radiologist who read the CT images, masked for anonymity

 

Numeric

 

1xxxx

For LSS

2xxxx

For ACRIN

Sct_compimage1-5

Source of Comparison Image

 

The screening protocol included a comparison by the radiologist of the images obtained at the screening exam with any available historical images.  At the T0 screening exam, relatively few participants had comparison images available, but at the T1 and T2 screening exams, almost all participants had comparison images available (i.e. the images from the previous years’ NLST screening exams).

0

No Image Available

1

T0

2

T1

3

T2 inadequate scan

4

CT

5

CXR

6

MRI

7

PET

Sct_comp_days1-5

Number of days from randomization to the date of the comparison image

 

 

Numeric

.M

.N

 

Missing

Not Applicable

Rec_xxx

 

Rec_no_followup

Rec_continue_nlst_ct

Rec_compare_img

Rec_diag_ct

Rec_ct_densitometry

Rec_fdg_pet

Rec_tech_99m

Rec_biopsy

Rec_other

 

Rec_ld_or_thin_ct variables

Rec_ld_or_thin_ct_3mo

Rec_ld_or_thin_ct_6mo

Rec_ld_or_thin_ct_3_6mo

Rec_ld_or_thin_ct_12mo

Rec_ld_or_thin_ct_24mo

 

 

Radiologist’s recommendations for follow-up after comparison read (mark all that apply)

No diagnostic intervention necessary

Continue NLST screening CT (LSS only)

Comparison with historical images

Diagnostic chest CT

Contrast-enhanced CT nodule densitometry

FDG-PET

Tech 99m depreotide scintigraphy

Biopsy (percutaneous, thoracoscopic, open, etc.)

Other (specify)

 

Low-dose helical or thin-section CT of chest

3 months from screening exam

6 months from screening exam

3-6 months from screening exam

12 months from screening exam

24 months from screening exam

 

Initially, both ACRIN and LSS forms had boxes for thin-section CT but lacked an option for low-dose helical CT. 

On 7/31/2003, ACRIN introduced a combined question “Thin-section chest CT or repeat low-dose helical chest CT” (see forms revision notice 7-31-2003).

On 10/9/2003, LSS replaced the thin-section CT question with “Low dose CT with NLST parameters” (see decision log #9).

 

Also, LSS had a question for recommended focus area of the chest (entire chest vs. limited).  See rec_focusarea variable.

1

Yes

0

No

 

 

Rec_focusarea

 

Recommended focus area for follow-up low-dose helical or thin-section CT scans LSS only

Note that this item was optional prior to 10/9/2003, when the LSS SCT form question switched from thin-section CT to low-dose helical CT.  Thereafter, it was mandatory.

0

None Specified or Not Applicable

1

Limited

2

Entire chest

Visits

Number of screening visits

 

LSS Question:  Visit Number

ACRIN Question:  Visit Number

Numeric

 

Attempts

Number of screening attempts on last screening visit this study year

 

LSS Question:  Number of Attempts

ACRIN Question:  Number of Exam Attempts

Numeric

 

.M

Missing

Technical parameter variables

 

Techpara_kVp

Techpara_effmAs

Techpara_mA

Techpara_fov

Technical parameters

 

kVp  (120-140, according to LSS form specs)

Effective mAs  (20-60, according to LSS form specs)

mA

Display FOV in cm  (<100)

 

 

Note that Effective mAs is missing for > 50% of screens

Numeric

 

.M

Missing

Ct_recon_filter1-4

CT reconstruction algorithm / filter

 

LSS only allows up to two CT reconstruction algorithms / filters.  In LSS,  ~ 25% of screening exams had two algorithms specified.

 

 

1

GE Bone

2

GE Standard

3

GE, other

4

Phillips D

5

Phillips C

6

Phillips, other

7

Siemens B50F

8

Siemens B30

9

Siemens, other

10

Toshiba FC10

11

Toshiba FC51

12

Toshiba, other

.M

Missing or less than 4 algorithms/filters

 

Ctdxqual

Overall diagnostic quality of CT examination

 

LSS Question:  Indicate the overall diagnostic quality of the CT image acquisition sequence

ACRIN Question:  Indicate the overall diagnostic quality of the CT examination

1

Diagnostic CT

2

Limited CT, but interpretable

3

Non-diagnostic CT exam

4

No image available (LSS only)

.M

Missing

Ctdxqual_ reason variables

 

Ctdxqual_breath

Ctdxqual_motion

Ctdxqual_resp

Ctdxqual_techpara

Ctdxqual_inadeqimg

Ctdxqual_artifact

Ctdxqual_graininess

Ctdxqual_other

 

Reason(s) for limited / non-diagnostic CT (if applicable)

 

Submaximal inspiratory breath-hold

Motion artifact

Respiratory misregistration

Incorrect technical parameter(s)

Lungs not completely imaged

Severe beam hardening artifact

Excessive quantum mottle or graininess

Other (specify)

 

 

0

No           

 

1

Yes

.N

Not Applicable

 

.M

Missing      

 

Dataset_version

Version of the dataset

Investigator_2012_02_14


2. Chest X-Ray Screening Dataset (One observation per study year of screening)

2. Chest X-Ray Screening Dataset (XRYSCREEN; One observation per study year of screening)

Variable Name

Variable Definition

Value

Possible Returned Result Values

Pid

Participant identifier

1xx,xxx

LSS Participants

2xx,xxx

ACRIN Participants

Study_yr

Study year of screen

0-2

 

Reader_id

Unique identifier of radiologist who read the chest x-ray images, masked for anonymity

 

Numeric

 

1xxxx

For LSS

2xxxx

For ACRIN

Xry_compimage1-5

Source of Comparison Image

 

The screening protocol included a comparison by the radiologist of the images obtained at the screening exam with any available historical images.  At the T0 screening exam, relatively few participants had comparison images available, but at the T1 and T2 screening exams, almost all participants had comparison images available (i.e. the images from the previous years’ NLST screening exams).

0

No Image Available

1

T0

2

T1

3

T2 inadequate scan

4

CT

5

CXR

6

MRI

7

PET

Xry_comp_days1-5

Number of days from randomization to the date of the comparison image

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Numeric

.M

.N

 

Missing

Not Applicable

Rec_xxx


 

 

Rec_no_followup

Rec_compare_img

Rec_cxr_confirm

 

 

 

 

 

 

 

Rec_chest_fluoroscopy

Rec_cxr_low_kvp_calcif

Rec_cxr_3mo

Rec_diag_ct

Rec_ct_densitometry

Rec_fdg_pet

Rec_tech_99m

Rec_biopsy

Rec_other

Rec_thinct

Rec_ldct

 

 

Radiologist’s recommendations for follow-up after comparison read (mark all that apply)

 

 

No diagnostic intervention necessary

Comparison with historical images

Chest X-ray to confirm that apparent abnormality is a lung abnormality

ACRIN Question (DR/I8 form):  Follow-up chest x-ray to better determine whether the finding observed on screening CXR is indeed a lung abnormality and its location.

Note that ACRIN’s form has options for additional views to confirm whether abnormality noted at screening is actually an abnormality and located in the lung.  LSS does not have this data.

 

Chest fluoroscopy to confirm that apparent abnormality is a lung abnormality

Low kVp chest X-ray to check for calcification of abnormality

Follow-up chest X-ray in three months

Diagnostic chest CT

Contrast-enhanced CT nodule densitometry

FDG-PET

Tech 99m depreotide scintigraphy

Biopsy (percutaneous, thoracoscopic, open, etc.)

Other (specify)

Thin section CT of chest (LSS only, on early form version)

Low-dose helical CT of chest (added 6-17-04 for ACRIN, 10-9-03 for LSS)

ACRIN’s form has additional options for recommended time period(s) for low-dose spiral CT (as on the spiral CT screening form).  LSS does not have this data.

Also, LSS had a question for recommended focus area of the chest (entire chest vs. limited).  See rec_focusarea variable.

1

Yes

0

 

No

 

 

 

Rec_focusarea

 

Recommended focus area for follow-up low-dose helical CT scan (LSS only)

 

Note that this item became available on 10/9/2003, when the low-dose helical CT option was added to the LSS XRY form.

 

0

None Specified or Not Applicable

1

Limited

2

Entire chest

Visits

Number of screening visits this study year

 

LSS Question:  Visit Number

ACRIN Question:  Visit Number

Numeric

 

Attempts

Number of screening attempts on last screening visit this study year

 

LSS Question:  Number of Attempts

ACRIN Question:  Total number of exposures performed to complete Screening CXR exam

Numeric

 

.M

Missing

Technical parameter variables

 

Techpara_kVp

Techpara_mAs

Techpara_mA

Techpara_time

Techpara_expval

 

Technical parameters

 

kVp  (100-150)

mAs  (0.1 - 20; ACRIN DR form says < 10 except for large participants)

mA

Time in milliseconds (0 - 40)

Exposure value (for digital units; S-value or exposure index; depends on manufacturer and model)

 

 

Note that mA, Time, and Exposure Value are missing for > 90% of screens.

 

Numeric

 

.M

Missing

Xrysystem

CXR system used

 

LSS Question:  CXR system used

ACRIN Question:  How was the CXR obtained?

 

 

1

Screen-Film (SF)

2

Computed Radiography (CR)

3

Direct Digital Radiography (DR)

4

Thoravision (ACRIN only)

.M

Missing

Xrydxqual

Overall diagnostic quality of CXR examination

 

LSS Question: Indicate the overall diagnostic quality of CXR

ACRIN Question: Indicate the overall diagnostic quality of CXR

1

Diagnostic CXR

2

Limited CXR, but interpretable

3

Non-diagnostic CXR exam

 

4

No image available (LSS only)

.M

Missing

Xrydxqual_ reason variables

 

Xrydxqual_lungvol

Xrydxqual_inadeqimg

Xrydxqual_position

Xrydxqual_motion

Xrydxqual_techpara

Xrydxqual_artifact

Xrydxqual_algorithm

Xrydxqual_noise

Xrydxqual_other

 

Reason(s) for limited / non-diagnostic CXR (if applicable)

 

Low lung volumes

Lungs incompletely imaged

Poor positioning

Motion degradation

Incorrect exposure or other technical parameter

Artifact obscures anatomy

Incorrect processing algorithm

High image noise

Other (specify)

 

 

0

No           

 

1

Yes

.N

Not Applicable

 

.M

Missing      

 

Dataset_version

Version of the dataset

Investigator_2012_02_14


3.  Spiral CT Abnormality Dataset (Multiple observations per participant)

3. Spiral CT Abnormality Dataset (SCTABN; One observation per participant-study year-abnormality number)

Variable Name

Variable Definition

Value

Possible Returned Result Values

Pid

Participant identifier

1xx,xxx

LSS Participants

2xx,xxx

ACRIN Participants

Study_yr

Study year of screen

0

T0

1

T1

2

T2

Sct_ab_num

Abnormality number (unique identifier)

Numeric

 

Sct_ab_desc

Abnormality code and description

 

Note that the LSS screening forms use a different numbering system than this.

51

Non-calcified nodule or mass (opacity >= 4 mm diameter)

52

Non-calcified micronodule(s) (opacity < 4 mm diameter)

53

Benign lung nodule(s) (benign calcification)

54

Atelectasis, segmental or greater

55

Pleural thickening or effusion

56

Non-calcified hilar/mediastinal adenopathy or mass (>= 10 mm on short axis)

57

Chest wall abnormality (bone destruction, metastasis, etc.)

58

Consolidation

59

Emphysema

60

Significant cardiovascular abnormality

61

Reticular/reticulonodular opacities, honeycombing, fibrosis, scar

62

6 or more nodules, not suspicious for cancer (opacity >= 4 mm)

63

Other potentially significant abnormality above the diaphragm

64

Other potentially significant abnormality below the diaphragm

65

Other minor abnormality noted

Sct_slice_num

CT slice number containing abnormality’s greatest diameter

Code 51 abnormalities only

Numeric

 

999

Unknown

.N

Not Applicable (sct_ab_desc is not 51)

Sct_epi_loc

Location of epicenter

Code 51 abnormalities only

1

Right Upper Lobe

2

Right Middle Lobe

3

Right Lower Lobe

4

Left Upper Lobe

5

Lingula

6

Left Lower Lobe

8

Other (Specify in comments)

.N

Not Applicable (sct_ab_desc is not 51)

Sct_long_dia

Longest diameter (in mm)

Code 51 abnormalities only

 

 

Numeric

 

.S

Unable to determine

.N

Not applicable (sct_ab_desc is not 51)

Sct_perp_dia

Longest perpendicular diameter (same CT slice in mm)

Code 51 abnormalities only

 

 

Numeric

 

.S

Unable to determine

.N

Not applicable (sct_ab_desc is not 51)

Sct_margins

Margins

Code 51 abnormalities only

1

Spiculated (Stellate)

2

Smooth

3

Poorly defined

9

Unable to determine

.N

Not applicable (sct_ab_desc is not 51)

Sct_pre_att

Predominant attenuation

Code 51 abnormalities only

1

Soft Tissue

2

Ground glass

3

Mixed

4

Fluid/water

6

Fat

7

Other

9

Unable to determine

.N

Not applicable (sct_ab_desc is not 51)

.M

Missing

Sct_found_after_comp

Identify any abnormalities that were not identified until the comparison with historical images

0

Identified on first look

1

Found after comparison

.M

Missing

Dataset_version

Version of the dataset

Investigator_2012_02_14


4.  Chest X-ray Abnormality Dataset (Multiple observations per participant)

4. Chest X-ray Abnormality Dataset (XRYABN; One observation per participant-study year-abnormality number)

Variable Name

Variable Definition

Value

Possible Returned Result Values

Pid

Participant identifier

1xx,xxx

LSS Participants

2xx,xxx

ACRIN Participants

Study_yr

Study year of screen

0

T0

1

T1

2

T2

Xry_ab_num

Abnormality number (unique identifier)

Numeric

 

Xry_ab_desc

Abnormality code

Note that the LSS screening forms use a different numbering system than this.

51

Non-calcified nodule or mass

53

Benign lung nodule(s) (benign calcification)

54

Atelectasis, segmental or greater

55

Pleural thickening or effusion

56

Non-calcified hilar/mediastinal adenopathy or mass (>= 10 mm on short axis)

57

Chest wall abnormality (bone destruction, metastasis, etc.)

58

Consolidation

59

Emphysema

60

Significant cardiovascular abnormality

61

Reticular/reticulonodular opacities, honeycombing, fibrosis, scar

62

6 or more nodules, not suspicious for cancer (opacity >= 4 mm)

63

Other potentially significant abnormality above the diaphragm

64

Other potentially significant abnormality below the diaphragm

65

Other minor abnormality noted

Xry_epi_loc

Location of epicenter

Code 51 abnormalities only

1

Right upper zone

2

Right middle zone

3

Right lower zone

4

Left upper zone

5

Left middle zone

6

Left lower zone

8

Other (Specify in comments)

.N

Not Applicable (xry_ab_desc is not 51)

Xry_long_dia

Longest diameter (in mm)

Code 51 abnormalities only

Numeric

 

.N

Not Applicable (xry_ab_desc is not 51)

.S

Unable to determine

Xry_perp_dia

Longest perpendicular diameter (in mm)

Code 51 abnormalities only

Numeric

 

.N

Not Applicable (xry_ab_desc is not 51)

.S

Unable to determine

Xry_margins

Nodule/mass margins

Code 51 abnormalities only

1

Spiculated (Stellate)

2

Smooth

3

Poorly defined

9

Unable to determine

.N

Not Applicable (xry_ab_desc is not 51)

Xry_found_after_comp

Identify any abnormalities that were not identified until the comparison with historical images

0

Identified on first look

1

Found after comparison

Dataset_version

Version of the dataset

Investigator_2012_02_14


5. Comparison Info for CT Screening Abnormalities (Multiple observations per participant)

5. Comparison Info for CT Screening Abnormalities Dataset (SCTABNC; One observation per participant-study year-abnormality number)

Variable Name

Variable Definition

Value

Possible Returned Result Values

Pid

Participant identifier

1xx,xxx

LSS Participants

2xx,xxx

ACRIN Participants

Study_yr

Study Year of Screen

0

T0

1

T1

2

T2

Sct_ab_num

Abnormality number (unique identifier)

This will match up with the sct_ab_num in the Abnormality dataset.

 

Numeric

 

Sct_ab_code

Abnormality code number from the Spiral CT Abnormality dataset

 

Note that the LSS screening forms use a different numbering system than this.

51

Non-calcified nodule or mass (opacity >= 4 mm diameter)

52

Non-calcified micronodule(s) (opacity < 4 mm diameter)

53

Benign lung nodule(s) (benign calcification)

54

Atelectasis, segmental or greater

55

Pleural thickening or effusion

56

Non-calcified hilar/mediastinal adenopathy or mass (>= 10 mm on short axis)

57

Chest wall abnormality (bone destruction, metastasis, etc.)

58

Consolidation

59

Emphysema

60

Significant cardiovascular abnormality

61

Reticular/reticulonodular opacities, honeycombing, fibrosis, scar

62

6 or more nodules, not suspicious for cancer (opacity >= 4 mm)

63

Other potentially significant abnormality above the diaphragm

64

Other potentially significant abnormality below the diaphragm

65

Other minor abnormality noted

 

 

Sct_ab_preexist

Was abnormality pre-existing?

1

No

2

Yes

9

Unable to determine

Visible_days

Number of days from randomization to the earliest date the abnormality was visible

Pre-existing abnormalities only

 

Numeric

 

.M

Missing

.N

Not applicable

Sct_ab_gwth

Interval growth of abnormality

Code 51 abnormalities only

1

No

2

Yes

9

Unable to determine

.M

Missing

.N

Not applicable

Sct_ab_attn

Interval suspicious change in attenuation

Code 51 abnormalities only

1

No

2

Yes

9

Unable to determine

.M

Missing

.N

Not applicable

Sct_ab_invg

Interval change warrants further investigation

Code 51 abnormalities only

1

No

2

Yes

9

Unable to determine

.M

Missing

.N

Not applicable

Dataset_version

Version of the dataset

Investigator_2012_02_14


6. Comparison Info for CXR Screening Abnormalities (Multiple observations per participant)

6. Comparison Info for CXR Screening Abnormalities Dataset (XRYABNC; One observation per participant-study year-abnormality number)

Variable Name

Variable Definition

Value

Possible Returned Result Values

Pid

Participant identifier

1xx,xxx

LSS Participants

2xx,xxx

ACRIN Participants

Study_yr

Study Year of Screen

0

T0

1

T1

2

T2

Xry_ab_num

Abnormality number (unique identifier)

This will match up with the sct_ab_num in the Abnormality dataset.

 

Numeric

 

Xry_ab_code

Abnormality code number from the Chest X-Ray Abnormality dataset

 

Note that the LSS screening forms use a different numbering system than this.

51

Non-calcified nodule or mass

53

Benign lung nodule(s) (benign calcification)

54

Atelectasis, segmental or greater

55

Pleural thickening or effusion

56

Non-calcified hilar/mediastinal adenopathy or mass (>= 10 mm on short axis)

57

Chest wall abnormality (bone destruction, metastasis, etc.)

58

Consolidation

59

Emphysema

60

Significant cardiovascular abnormality

61

Reticular/reticulonodular opacities, honeycombing, fibrosis, scar

62

6 or more nodules, not suspicious for cancer (opacity >= 4 mm)

63

Other potentially significant abnormality above the diaphragm

64

Other potentially significant abnormality below the diaphragm

65

Other minor abnormality noted

Xry_ab_preexist

Was abnormality pre-existing?

1

No

2

Yes

9

Unable to determine

Visible_days

Number of days from randomization to the earliest date the abnormality was visible 

Pre-existing abnormalities only

 

Numeric

 

.M

Missing

.N

Not applicable

Xry_ab_gwth

Interval growth of abnormality

Code 51 abnormalities only

1

No

2

Yes

9

Unable to determine

.M

Missing

.N

Not applicable

Xry_ab_attn

Interval suspicious change in attenuation

Code 51 abnormalities only

1

No

2

Yes

9

Unable to determine

.M

Missing

.N

Not applicable

Xry_ab_invg

Interval change warrants further investigation

Other significant abnormalities only

1

No

2

Yes

9

Unable to determine

.M

Missing

.N

Not applicable

Dataset_version

Version of the dataset

Investigator_2012_02_14


7.  Diagnostic Procedure Dataset (Multiple observations per participant)

7. Diagnostic Procedure Dataset (PROCS; One observation per participant-procedure-procedure date)

Variable Name

Variable Definition

Value

Possible Returned Result Values

Pid

Participant identifier

1xx,xxx

LSS Participants

2xx,xxx

ACRIN Participants

Proc_num

Procedure code

 

1

Biopsy - Endobronchial

2

Biopsy - Percutaneous Liver

3

Biopsy - Lymph node - other (specify)

4

Biopsy - Lymph node - scalene nodes

8

Biopsy - Other(SPECIFY)

9

Biopsy - Open Surgical

10

Biopsy - Transbronchial

11

Radiograph - Bone

13

Radiograph - Chest

14

Clinical Evaluation

15

Radiograph - Comparison with historical images

17

CT - Abdomen and pelvis

18

CT - Brain

22

CT - Other (specify)

23

CT - Chest, limited thin section of nodule

25

Cytology - Sputum

27

Fluoroscopy

29

Lymphadenectomy/lymph node sampling

30

Mediastinoscopy/Mediastinotomy

31

MRI - Bone

32

MRI - Brain

33

MRI - Chest

35

MRI - Other (specify)

36

Other (specify)

37

Radiograph - Other (specify)

39

Pulmonary function tests/spirometry

40

Radionuclide scan - Bone

41

Radionuclide scan - Brain

42

Radionuclide scan - Liver

43

Resection

45

Thoracoscopy without Biopsy

46

Thoracotomy

47

Thoracentesis

48

Ultrasound (specify)

49

Thoracoscopy

50

Biopsy - Thoracoscopic

52

Biopsy - Percutaneous adrenal

53

Biopsy - Percutaneous transthoracic yielding histology

54

Bronchoscopy without biopsy or cytology

55

CT -  Abdomen (or liver)

56

CT - Chest, plus nodule densitometry

57

CT - Diagnostic chest

58

Cytology - Bronchoscopic

59

Cytology - Percutaneous transthoracic

60

Cytology - Other (specify)

61

Echocardiography

62

MRI - Abdomen (or liver)

63

Radionuclide scan - FDG-PET scan

64

Radionuclide scan - Gallium

65

Radionuclide scan - Somatostatin receptor

66

Radionuclide scan - Ventilation/perfusion lung

67

Radionuclide scan - Other (specify)

68

Radionuclide scan - Fusion PET/CT scan

69

CT - Chest, low dose spiral

70

CT - Chest limited thin section of entire lung

71

CT - Chest and abdomen

72

CT - Chest, abdomen, and pelvis

99

Unknown

Proc_days

 

Number of days from randomization to procedure

 

Numeric

 

.N

No procedure date on record

Scr_link

Is the procedure linked to a positive screen?

 

0

No

1

Yes

Proc_year

Study year that the procedure is linked to

 

0

T0

1

T1

2

T2

3

T3

4

T4

5-7

T5-T7

Can_link

Is the procedure linked to a cancer diagnosis?

 

0

No

1

Yes

Dataset_version

Version of the dataset

Investigator_2012_02_14


8.  Complication Dataset (Multiple observations per participant)

8. Complication Dataset (COMPS; One observation per participant-complication-complication date)

Variable Name

Variable Definition

Value

Possible Returned Result Values

Pid

Participant identifier

1xx,xxx

LSS Participants

2xx,xxx

ACRIN Participants

Compcode

Complication code

 

 

1

Acute respiratory failure

2

Allergic Reaction

3

Anaphylaxis

5

Blood loss requiring a transfusion

6

Bronchopulmonary fistula

7

Bronchospasm

8

Cardiac arrest

9

Cardiac arrhythmia requiring medical attention

10

Cerebral vascular accident (CVA)/stroke

11

Congestive heart failure (CHF)

12

Death

14

Fever requiring antibiotics

16

Hemothorax requiring tube placement

17

Hospitalization post procedure

21

Myocardial infarction

22

Pain requiring referral to a pain specialist

23

Pneumothorax requiring tube placement

25

Respiratory arrest

26

Rib fracture(s)

27

Vocal cord immobility/paralysis

28

Wound dehiscence

29

Bronchial stump leak requiring tube thoracostomy or other drainage for > 4 days

30

Empyema

31

Injury to vital organ or vessel

32

Prolonged mechanical ventilation over 48 hours post-operatively

33

Thromboembolic complications requiring intervention

34

Vaso-vagal reaction/Hypotension

35

Other (specify)

36

Wound Infection

37

Infections requiring antibiotics

40

Subcutaneous emphysema

41

Atelectasis

42

Pneumothorax with no chest tube

43

Cardiac ischemia/ST elevation

44

Bronchitis

45

Chylous fistula

46

Ileus

47

Pneumonia

48

Seroma

49

Brachial plexopathy

50

Pleural effusion

51

Lung collapse

52

Sepsis

53

Respiratory distress

54

Splenomegaly with splenic infarcts

55

Parasthesias/Hypersthesias

56

Mucous plug requiring bronchoscopy

57

Infarcted sigmoid colon

58

Steroid induced diabetes

Compcat

Category of medical complications

The following is the mapping from the CompCode:

Major:  1, 3, 6, 8, 10, 11, 12, 16, 21, 25, 28, 29, 30, 31, 32, 33, 45, 49, 51, 57

Intermediate:  5, 9, 14, 17, 22, 23, 26, 27, 36, 37, 43, 44, 47, 50, 52, 53, 54, 56, 58

Minor:  2, 7, 34, 40, 41, 42, 46, 48, 55, 35

 

1

Major

2

Intermediate

3

Minor

Comp_days

Number of days from randomization to complication

 

Numeric

 

.N

No date on record

Scr_link

Is the complication linked to a positive screen?

 

Complications are linked to the procedure immediately p