Summary

Clinical, genetic, and pathological data resides in the TCGA data portal, while the radiological data is stored on The Cancer Imaging Archive (TCIA). The data utilizes the same TCGA patient identifiers in both repositories, allowing researchers to explore the correlations between tissue genotype and radiological phenotype. This collection within TCIA is related to the OV disease type within TCGA.

Note: Per TCGA Guidelines, formal permission requests are still required for publications using TCGA-OV data. More info about TCGA Publication Policies can be found on the Data Usage Policies and Restrictions page.

CIP TCGA Radiology Initiative

The CIP has begun multiple projects to collaborate with the academic community to encourage cross disciplinary research, which utilizes the data provided in these resources. More can be learned about this effort on the TCGA Ovarian Phenotype Research Group page.

How to Retrieve the Images from TCIA

If you are unsure how to download this collection, please view Searching by Collection or refer to TCIA's User's Guide for more detailed instructions on using the site.

Related Data

The TCGA data portal has extensive clinical and genomic data, which can be matched to the patient identifiers on the images here in TCIA. Below is a snapshot of clinical data available for the cases with imaging on the TCIA (extracted on 07/13/2015):

• TCGA-OV Clinical Data.zip

Case report forms (with verbose explanations) used to collect the clinical data can be found on the Biospecimen Core Resource Clinical Data Forms linked below:

• Ovary Case Quality Control Form
• Ovary Enrollment Form
• Ovary Follow-Up Form

Additional Documentation

• OV Clinical Follow Up
• OV Clinical Follow up Notes

Cases by Site:

• OV TCIA Cases - listed by site
• OV TCIA Cases - listed by source site code
  
  
  

Shared List:  Ovarian Cases with Early Post-Operative Scans

This shared list is tor researchers wanting to evaluate the completeness  of OV tumor surgical de-bulking, this group of cases has sequential CT scans that have both pre-op (baseline) and early post-op (less than ~ 2 months). 

A Note about TCIA and TCGA Subject Identifiers and Dates

Subject Identifiers: a subject with radiology images stored in TCIA is identified with a Patient ID that is identical to the Patient ID of the same subject with demographic, clinical, pathological, and/or genomic data stored in TCGA. For each TCGA case, the baseline TCGA imaging studies found on TCIA are pre-surgical. 

Dates: TCIA and TCGA handle dates differently, and there are no immediate plans to reconcile:

• TCIA Dates: dates (be they birth dates, imaging study dates, etc.) in the Digital Imaging and Communications in Medicine (DICOM) headers of TCIA radiology images have been offset by a random number of days. The offset is a number of days between 3 and 10 years prior to the real date that is consistent for each TCIA image-submitting site and collection, but that varies among sites and among collections from the same site. Thus, the number of days between a subject’s longitudinal imaging studies are accurately preserved when more than one study has been archived while still meeting HIPAA requirements.
• TCGA Dates: the patient demographic and clinical event dates are all the number of days from the index date, which is the actual date of pathologic diagnosis. So all the dates in the data are relative negative or positive integers, except for the “days_to_pathologic_diagnosis” value, which is 0 – the index date. The years of birth and diagnosis are maintained in the distributed clinical data file. The NCI retains a copy of the data with complete dates, but those data are not made available.With regard to other TCGA dates, if a date comes from a HIPAA “covered entity’s” medical record, it is turned into the relative day count from the index date. Dates like the date TCGA received the specimen or when the TCGA case report form was filled out are not such covered dates, and they will appear as real dates (month, day, and year).

Acknowledgements

We would like to acknowledge the individuals and institutions that have provided data for this collection:

• University of Pittsburgh/UPMC, Pittsburgh, PA - Special thanks to Chandra Holback, MD and Rose Jarosz.

• Washington University School of Medicine, St. Louis, MO - Special thanks to Fred Prior, Ph.D. from the Electronic Radiology Lab, Mallinckrodt Institute and David G Mutch, MD, Ira C, MD & Judith Gall, MD Ob/Gyn.  

• MD Anderson Cancer Center, Houston TX - Special thanks to Priya Bhosale, MD and Kimberly Garcia.
• University of North Carolina, Chapel Hill, NC - Special thanks to Yueh Lee, MD, PhD and Shanah Kirk.

• Brigham & Women's Hospital, Boston, MA - Special thanks to Cheryl A. Sadow, MD and Seth Levine.

• Memorial Sloan-Kettering Cancer Center, New York, NY - Special thanks to Evis Sala, MD, PhD and Pierre Elnajjar.

• University of California, San Francisco, CA - Special thanks to Tara Morgan, MD
• Mayo Clinic, Rochester, MN - Special thanks to Brad Erickson, MD, PhD.Ca