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CT and cone-beam CT of ablative radiation therapy for pancreatic cancer with expert organ-at-risk contours

We describe a dataset from patients who received ablative radiation therapy for locally advanced pancreatic cancer (LAPC), consisting of computed tomography (CT) and cone-beam CT (CBCT) images with physician-drawn organ-at-risk (OAR) contours. The image datasets (one CT for treatment planning and tw...

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Autores principales: Hong, Jun, Reyngold, Marsha, Crane, Christopher, Cuaron, John, Hajj, Carla, Mann, Justin, Zinovoy, Melissa, Yorke, Ellen, LoCastro, Eve, Apte, Aditya P., Mageras, Gig
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587208/
https://www.ncbi.nlm.nih.gov/pubmed/36271000
http://dx.doi.org/10.1038/s41597-022-01758-9
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author Hong, Jun
Reyngold, Marsha
Crane, Christopher
Cuaron, John
Hajj, Carla
Mann, Justin
Zinovoy, Melissa
Yorke, Ellen
LoCastro, Eve
Apte, Aditya P.
Mageras, Gig
author_facet Hong, Jun
Reyngold, Marsha
Crane, Christopher
Cuaron, John
Hajj, Carla
Mann, Justin
Zinovoy, Melissa
Yorke, Ellen
LoCastro, Eve
Apte, Aditya P.
Mageras, Gig
author_sort Hong, Jun
collection PubMed
description We describe a dataset from patients who received ablative radiation therapy for locally advanced pancreatic cancer (LAPC), consisting of computed tomography (CT) and cone-beam CT (CBCT) images with physician-drawn organ-at-risk (OAR) contours. The image datasets (one CT for treatment planning and two CBCT scans at the time of treatment per patient) were collected from 40 patients. All scans were acquired with the patient in the treatment position and in a deep inspiration breath-hold state. Six radiation oncologists delineated the gastrointestinal OARs consisting of small bowel, stomach and duodenum, such that the same physician delineated all image sets belonging to the same patient. Two trained medical physicists further edited the contours to ensure adherence to delineation guidelines. The image and contour files are available in DICOM format and are publicly available from The Cancer Imaging Archive (10.7937/TCIA.ESHQ-4D90, Version 2). The dataset can serve as a criterion standard for evaluating the accuracy and reliability of deformable image registration and auto-segmentation algorithms, as well as a training set for deep-learning-based methods.
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spelling pubmed-95872082022-10-23 CT and cone-beam CT of ablative radiation therapy for pancreatic cancer with expert organ-at-risk contours Hong, Jun Reyngold, Marsha Crane, Christopher Cuaron, John Hajj, Carla Mann, Justin Zinovoy, Melissa Yorke, Ellen LoCastro, Eve Apte, Aditya P. Mageras, Gig Sci Data Data Descriptor We describe a dataset from patients who received ablative radiation therapy for locally advanced pancreatic cancer (LAPC), consisting of computed tomography (CT) and cone-beam CT (CBCT) images with physician-drawn organ-at-risk (OAR) contours. The image datasets (one CT for treatment planning and two CBCT scans at the time of treatment per patient) were collected from 40 patients. All scans were acquired with the patient in the treatment position and in a deep inspiration breath-hold state. Six radiation oncologists delineated the gastrointestinal OARs consisting of small bowel, stomach and duodenum, such that the same physician delineated all image sets belonging to the same patient. Two trained medical physicists further edited the contours to ensure adherence to delineation guidelines. The image and contour files are available in DICOM format and are publicly available from The Cancer Imaging Archive (10.7937/TCIA.ESHQ-4D90, Version 2). The dataset can serve as a criterion standard for evaluating the accuracy and reliability of deformable image registration and auto-segmentation algorithms, as well as a training set for deep-learning-based methods. Nature Publishing Group UK 2022-10-21 /pmc/articles/PMC9587208/ /pubmed/36271000 http://dx.doi.org/10.1038/s41597-022-01758-9 Text en © The Author(s) 2022 https://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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Hong, Jun
Reyngold, Marsha
Crane, Christopher
Cuaron, John
Hajj, Carla
Mann, Justin
Zinovoy, Melissa
Yorke, Ellen
LoCastro, Eve
Apte, Aditya P.
Mageras, Gig
CT and cone-beam CT of ablative radiation therapy for pancreatic cancer with expert organ-at-risk contours
title CT and cone-beam CT of ablative radiation therapy for pancreatic cancer with expert organ-at-risk contours
title_full CT and cone-beam CT of ablative radiation therapy for pancreatic cancer with expert organ-at-risk contours
title_fullStr CT and cone-beam CT of ablative radiation therapy for pancreatic cancer with expert organ-at-risk contours
title_full_unstemmed CT and cone-beam CT of ablative radiation therapy for pancreatic cancer with expert organ-at-risk contours
title_short CT and cone-beam CT of ablative radiation therapy for pancreatic cancer with expert organ-at-risk contours
title_sort ct and cone-beam ct of ablative radiation therapy for pancreatic cancer with expert organ-at-risk contours
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587208/
https://www.ncbi.nlm.nih.gov/pubmed/36271000
http://dx.doi.org/10.1038/s41597-022-01758-9
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