Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy

Cross sectional imaging is essential for the patient-specific planning and delivery of radiotherapy, a primary determinant of head and neck cancer outcomes. Due to challenges ensuring data quality and patient de-identification, publicly available datasets including diagnostic and radiation treatment...

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Published inScientific data Vol. 5; no. 1; p. 180173
Main Authors Grossberg, Aaron J., Mohamed, Abdallah S. R., Elhalawani, Hesham, Bennett, William C., Smith, Kirk E., Nolan, Tracy S., Williams, Bowman, Chamchod, Sasikarn, Heukelom, Jolien, Kantor, Michael E., Browne, Theodora, Hutcheson, Katherine A., Gunn, G. Brandon, Garden, Adam S., Morrison, William H., Frank, Steven J., Rosenthal, David I., Freymann, John B., Fuller, Clifton D.
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 04.09.2018
Nature Publishing Group
Subjects
631/67/1059/485
631/67/1536
631/67/2321
Body composition
Computed tomography
Data Descriptor
Demography
Head & neck cancer
Humanities and Social Sciences
Medical imaging
multidisciplinary
Neck
Patients
Radiation therapy
Risk factors
Science
Skeletal muscle
Squamous cell carcinoma
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Summary:Cross sectional imaging is essential for the patient-specific planning and delivery of radiotherapy, a primary determinant of head and neck cancer outcomes. Due to challenges ensuring data quality and patient de-identification, publicly available datasets including diagnostic and radiation treatment planning imaging are scarce. In this data descriptor, we detail the collection and processing of computed tomography based imaging in 215 patients with head and neck squamous cell carcinoma that were treated with radiotherapy. Using cross sectional imaging, we calculated total body skeletal muscle and adipose content before and after treatment. We detail techniques for validating the high quality of these data and describe the processes of data de-identification and transfer. All imaging data are subject- and date-matched to clinical data from each patient, including demographics, risk factors, grade, stage, recurrence, and survival. These data are a valuable resource for studying the association between patient-specific anatomic and metabolic features, treatment planning, and oncologic outcomes, and the first that allows for the integration of body composition as a risk factor or study outcome. Design Type(s) subject-based data analysis objective • dataset evaluation objective • data annotation objective • image creation and editing objective Measurement Type(s) tumor measurement • body composition measurement Technology Type(s) Imaging Technique • Diagnostic Imaging Factor Type(s) tumor grading • Stage • site Sample Characteristic(s) Homo sapiens Machine-accessible metadata file describing the reported data (ISA-Tab format)
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In concert with The Cancer Imaging Archive.
All listed co-authors performed the following: 1. Substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data for the work;2. Drafting the work or revising it critically for important intellectual content;3. Final approval of the version to be published;4. Agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.Specific additional individual cooperative effort contributions, in addition to all criteria above are listed as follows: A.J.G.-Drafted original manuscript; oversaw entirety of the repository deposit and parent analysis, executed project oversight, technical contributions, statistical analysis, supervised image segmentation/image post-processing, statistical analysis, and clinical data collection workflows. (BW, HE). A.S.G.-Project administrator, direct oversight of image segmentation/image post-processing, statistical analysis, and clinical data collection workflows; supervision of trainees (A.J.G., H.E., S.C., J.H., T.B.). H.E., B.W., T.B.-Responsible for clinical and DICOM data extraction, collation, transfer, anonymization, and quality assurance. S.C., J.H., T.B.-Electronic medical record screening, image segmentation, automated case identification, data extraction, clinical data collection and informatics software support. W.B., K.S., T.N., J.F.-Responsible for TCIA oversight, import, anonymization, QA, posting, and data housing; direct infrastructure and expertise provision for data publication. M.K.-Responsible for data de-archiving, DICOM-RT data identification, image QA, and expertise provision for MD Anderson informatics processes. A.S.G.-Database construction, clinical/oncologic oropharynx database curation and oversight, conceptual feedback and support. G.B.G., S.F., W.H.M.-Direct clinical and image data provision, project support, expertise in DICOM-RT object construction, editorial oversight, and conceptual mentorship. D.I.R.-Programmatic oversight; conceived of initial parent project and data analysis plan; direct mentorship (CDF). C.D.F.-Corresponding author; primary investigator; conceived, coordinated, and directed all study activities, responsible for data collection, project integrity, manuscript content and editorial oversight and correspondence; direct oversight of trainee personnel (AG, BW,HE, JH, SC) and direct mentorship (ASRM); final repository deposition/manuscript approval.
The MD Anderson Head and Neck Quantitative Imaging Working Group.
ISSN:2052-4463
2052-4463
DOI:10.1038/sdata.2018.173