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.
| Original language | English (US) |
|---|---|
| Article number | 180173 |
| Journal | Scientific Data |
| Volume | 5 |
| DOIs | |
| State | Published - Jan 1 2018 |
Fingerprint
ASJC Scopus subject areas
- Statistics and Probability
- Information Systems
- Education
- Computer Science Applications
- Statistics, Probability and Uncertainty
- Library and Information Sciences
Cite this
Data descriptor : Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy. / Grossberg, Aaron; Mohamed, Abdallah S.R.; El Halawani, 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.
In: Scientific Data, Vol. 5, 180173, 01.01.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Data descriptor
T2 - Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy
AU - Grossberg, Aaron
AU - Mohamed, Abdallah S.R.
AU - El Halawani, Hesham
AU - Bennett, William C.
AU - Smith, Kirk E.
AU - Nolan, Tracy S.
AU - Williams, Bowman
AU - Chamchod, Sasikarn
AU - Heukelom, Jolien
AU - Kantor, Michael E.
AU - Browne, Theodora
AU - Hutcheson, Katherine A.
AU - Gunn, G. Brandon
AU - Garden, Adam S.
AU - Morrison, William H.
AU - Frank, Steven J.
AU - Rosenthal, David I.
AU - Freymann, John B.
AU - Fuller, Clifton D.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85053162222&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85053162222&partnerID=8YFLogxK
U2 - 10.1038/sdata.2018.173
DO - 10.1038/sdata.2018.173
M3 - Article
C2 - 30179230
AN - SCOPUS:85053162222
VL - 5
JO - Scientific data
JF - Scientific data
SN - 2052-4463
M1 - 180173
ER -