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  • Data from Head and Neck Cancer CT Atlas

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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.


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.




titleData Access

Data Access

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

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titleDetailed Description

Detailed Description

Collection Statistics




Number of Patients


Number of Studies


Number of Series


Number of Images


Image Size (GB)93.0


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


titleCitations & Data Usage Policy

Citations & Data Usage Policy 

titleData Citation

Grossberg  A, Mohamed A, Elhalawani H, Bennett W, Smith K, Nolan T, Chamchod S, Kantor M, Browne T, Hutcheson K, Gunn G, Garden A, Frank S, Rosenthal D, Freymann J, Fuller C.(2017).  Data from Head and Neck Cancer CT Atlas. The Cancer Imaging Archive

 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




Cross sectional imaging is essential for the patient-specific planning and delivery of radiotherapy, a primary determinant of head and neck cancer outcomes. Publicly shared RT data is scarce due to high complexity of RT structure data and the need for registration in time, space, and across planning sets. We here introduce an open access imaging database for patients treated with radiotherapy for head and neck squamous cell carcinoma (HNSCC).


2840 consecutive patients with HNSCC treated with curative-intent RT at MD Anderson Cancer Center from 2003 to 2013 were screened. Patients with whole-body PET-CT or abdominal CT scans both before and after RT were included (n=215). Clinical data were retrieved from the MD Anderson Cancer Center custom electronic medical record system, ClinicStation. Using cross sectional imaging, we calculated total body skeletal muscle and adipose content before and after treatment. All files were de-identified and transferred to The Cancer Imaging Archive servers using the RSNA Clinical Trial Processor program. Files were screened for errors or residual PHI using TagSniffer and Posda Tools software, reviewed by TCIA curators, then confirmed at the parent institution.


The HNSCC collection is a dataset consisting of 130,428 DICOM files from 1266 series and 660 studies collected from 215 patients, which includes de-identified diagnostic imaging, radiation treatment planning, and follow up imaging. All imaging data are subject- and date-matched to clinical data from each patient, including demographics, risk factors, grade, stage, recurrence, and survival.


Recent advances in data archiving, patient de-identification, and image registration have allowed for the creation of a high quality RT-enriched imaging database within TCIA. Open access to these data allows for interinstitutional comparisons of complete RT details in non-randomized patient populations, allowing for a more granular understanding of three dimensional factors that influence treatment effectiveness and toxicity sparing.

This is the companion data set for the following paper:



Publication Citation


Grossberg  A,




titlePublication Citation

coming soon


titleTCIA Citation


A, Elhalawani H, Bennett W, Smith K, Nolan T,  Williams B, Chamchod S, Heukelom J, Kantor M, Browne T, Hutcheson K, Gunn G, Garden A, Morrison W, Frank S, Rosenthal D, Freymann J, Fuller C. (2018) Imaging and Clinical Data Archive for Head and Neck Squamous Cell Carcinoma Patients Treated with Radiotherapy. (doi link coming soon)


  • Image Data - DICOM
  • Clinical information - XLSX

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.



Version 1 (Current): Updated 20161027


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