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Summary

Pre- and post-treatment scans from head and neck squamous cell carcinoma (HNSCC) patients treated with radiation therapy (RT) scans include full staging and follow up scans. The abdominal imaging was then also used to quantify body composition in these patients as part of a study into the prognostic impact of patients' muscle mass. These images of the torso do not include the head, as they were collected for another purpose.

Diagnostic CT and PET scans from 215 head and neck squamous cell carcinoma (HNSCC) patients treated with radiation therapy (RT) at MD Anderson obtained pre-RT, post-RT and at recurrence, when applicable. Data set also includes all RT simulation, target delineation, and planning DICOM images for all patients. The CT phase of diagnostic abdominal imaging was then used to quantify body composition in these patients as part of a study into the prognostic impact of patients' muscle mass on oncologic outcomes. Accompanying clinical information includes patient and cancer characteristics, survival, recurrence, and body composition data.

Acknowledgements:

This research was supported by the Andrew Sabin Family Foundation; Dr. Fuller is a Sabin Family Foundation Fellow. Drs. Mohamed and Fuller receive funding support from the National Institutes of Health (NIH)/National Institute for Dental and Craniofacial Research (NIDCR) (R01DE025248) and the National Institutes of Health (NIH)/National Cancer Institute (NCI) (1R01CA214825-01). Dr. Fuller received/(s) grant and/or salary support from the NIH/NCI Head and Neck Specialized Programs of Research Excellence (SPORE) Developmental Research Program Career Development Award (P50CA097007-10); the NCI Paul Calabresi Clinical Oncology Program Award (K12 CA088084-06); a General Electric Healthcare/MD Anderson Center for Advanced Biomedical Imaging In-Kind Award;  an Elekta AB/MD Anderson Department of Radiation Oncology Seed Grant; the Center for Radiation Oncology Research (CROR) at MD Anderson Cancer Center Seed Grant; the MD Anderson Institutional Research Grant (IRG) Program; and the NIH/NCI Cancer Center Support (Core) Grant CA016672 to The University of Texas MD Anderson Cancer Center (P30 CA016672). Dr. Elhalawani was directly funded in part by a philanthropic gift from the Family of Paul W. Beach given to Dr. Gunn for patient-outcome database construction.

 

Localtab Group

 

Localtab
activetrue
titleData Access

Data Access

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Images (DICOM, 93GB )

  

Clinical information (xls)

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Localtab
titleDetailed Description

Detailed Description

Collection Statistics

 

Modalities

CT, PT, MR, RTDOSE, RTPLAN, RTSTRUCT

Number of Patients

215

Number of Studies

765

Number of Series

3,225

Number of Images

433384

Image Size (GB)93.0

Note

–Demographics
–Tumor characteristics
–Treatment characteristics
–Survival
–Recurrence 
Clinical - 40 field codes. Time has been converted to time from diagnosis , path grade, serial body weight etc


Localtab
titleCitations & Data Usage Policy

Citations & Data Usage Policy 

This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License.  See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net.

Please be sure to include the following citations in your work if you use this data set:

Info
titleData Citation

Grossberg, Aaron; Mohamed, Abdallah; El Halawani, Hesham; Bennett, William; Smith, Kirk; Nolan, Tracy; Chamchod, Sasikarn; Kantor, Michael; Browne, Theodora; Hutcheson, Katherine; Gunn, Gary; Garden, Adam; Frank, Steven; Rosenthal, David; Freymann, John; Fuller, Clifton.(2017).  Data from Head and Neck Cancer CT Atlas. The Cancer Imaging Archivehttp://doi.org/10.7937/K9/TCIA.2017.umz8dv6s


Info
titlePublication Citation

coming soon


Info
titleTCIA Citation

Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)

Other Publications Using This Data

1.  S. Chamchod et al. Body Mass Characterization Before and After Head and Neck Cancer Radiotherapy: A Challenge of Height-Weight Formulae Using Quantitative Computed Tomography. Oral Oncol. 2016 Oct;61:62-9. doi: 10.1016/j.oraloncology.2016.08.012.

–Evaluation of relationship between imaging-based body composition and anthropometrics

2. Aaron J. Grossberg, Sasikarn Chamchod, Clifton D. Fuller, et al.The Influence of Body Composition on Survival and Locoregional Control in Head and Neck Cancer Patients Receiving Radiotherapy. JAMA Oncol. 2016;2(6):782-789. doi:10.1001/jamaoncol.2015.6339

–Evaluation of relationship between body composition and oncologic outcomes

If you have a publication you'd like to add please contact the TCIA Helpdesk.


Localtab
titleVersions

Version 1 (Current): Updated 20161027

Data TypeDownload all or Query/Filter
Images (DICOM, 93GB)
 
Clinical information (xls)