Abstract:
: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.
journal_name
Sci Datajournal_title
Scientific dataauthors
Grossberg AJ,Mohamed ASR,Elhalawani H,Bennett WC,Smith KE,Nolan TS,Williams B,Chamchod S,Heukelom J,Kantor ME,Browne T,Hutcheson KA,Gunn GB,Garden AS,Morrison WH,Frank SJ,Rosenthal DI,Freymann JB,Fuller CDdoi
10.1038/sdata.2018.173subject
Has Abstractpub_date
2018-09-04 00:00:00pages
180173issn
2052-4463pii
sdata2018173journal_volume
5pub_type
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