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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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Autores principales: Grossberg, Aaron J., 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6190723/
https://www.ncbi.nlm.nih.gov/pubmed/30179230
http://dx.doi.org/10.1038/sdata.2018.173
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author Grossberg, Aaron J.
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.
author_facet Grossberg, Aaron J.
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.
author_sort Grossberg, Aaron J.
collection PubMed
description 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.
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spelling pubmed-61907232018-10-29 Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy Grossberg, Aaron J. 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. Sci Data Data Descriptor 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. Nature Publishing Group 2018-09-04 /pmc/articles/PMC6190723/ /pubmed/30179230 http://dx.doi.org/10.1038/sdata.2018.173 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Grossberg, Aaron J.
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.
Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy
title Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy
title_full Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy
title_fullStr Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy
title_full_unstemmed Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy
title_short Imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy
title_sort imaging and clinical data archive for head and neck squamous cell carcinoma patients treated with radiotherapy
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6190723/
https://www.ncbi.nlm.nih.gov/pubmed/30179230
http://dx.doi.org/10.1038/sdata.2018.173
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