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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 (<jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"doi\" xlink:href=\"10.7937\/TCIA.ESHQ-4D90\">https:\/\/doi.org\/10.7937\/TCIA.ESHQ-4D90<\/jats:ext-link>, 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.<\/jats:p>","DOI":"10.1038\/s41597-022-01758-9","type":"journal-article","created":{"date-parts":[[2022,10,21]],"date-time":"2022-10-21T12:06:36Z","timestamp":1666353996000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["CT and cone-beam CT of ablative radiation therapy for pancreatic cancer with expert organ-at-risk contours"],"prefix":"10.1038","volume":"9","author":[{"given":"Jun","family":"Hong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marsha","family":"Reyngold","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christopher","family":"Crane","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Cuaron","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carla","family":"Hajj","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Justin","family":"Mann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Melissa","family":"Zinovoy","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ellen","family":"Yorke","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eve","family":"LoCastro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aditya P.","family":"Apte","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9851-4306","authenticated-orcid":false,"given":"Gig","family":"Mageras","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,10,21]]},"reference":[{"key":"1758_CR1","unstructured":"American Cancer Society, Cancer Facts and Figures 2021. https:\/\/www.cancer.org\/research\/cancer-facts-statistics\/all-cancer-facts-figures\/cancer-facts-figures-2021.html (2021)."},{"issue":"Suppl. 1","key":"1758_CR2","doi-asserted-by":"publisher","first-page":"i53","DOI":"10.1093\/jrr\/rrw016","volume":"57","author":"CH Crane","year":"2016","unstructured":"Crane, C. H. Hypofractionated ablative radiotherapy for locally advanced pancreatic cancer. J. Radiat. Res. 57(Suppl. 1), i53\u2013i57 (2016).","journal-title":"J. Radiat. Res."},{"key":"1758_CR3","doi-asserted-by":"publisher","first-page":"755","DOI":"10.1016\/j.ijrobp.2015.12.003","volume":"94","author":"S Krishnan","year":"2016","unstructured":"Krishnan, S. et al. Focal radiation therapy dose escalation improves overall survival in locally advanced pancreatic cancer patients receiving induction chemotherapy and consolidative chemoradiation. Int. J. Radiat. Oncol. Biol. Phys. 94, 755\u2013765 (2016).","journal-title":"Int. J. Radiat. Oncol. Biol. Phys."},{"key":"1758_CR4","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1186\/s13014-019-1309-x","volume":"14","author":"M Reyngold","year":"2019","unstructured":"Reyngold, M., Parikh, P. & Crane, C. H. Ablative radiation therapy for locally advanced pancreatic cancer: techniques and results. Radiat. Oncol. 14, 95\u2013102 (2019).","journal-title":"Radiat. Oncol."},{"key":"1758_CR5","doi-asserted-by":"publisher","first-page":"3084","DOI":"10.1002\/mp.14906","volume":"48","author":"X Han","year":"2021","unstructured":"Han, X. et al. Deep-learning-based image registration and automatic segmentation of organs-at-risk in cone-beam CT scans from high-dose radiation treatment of pancreatic cancer. Med. Phys. 48, 3084\u20133095 (2021).","journal-title":"Med. Phys."},{"key":"1758_CR6","doi-asserted-by":"publisher","first-page":"e1","DOI":"10.1002\/mp.13264","volume":"46","author":"B Sahiner","year":"2019","unstructured":"Sahiner, B. et al. Deep learning in medical imaging and radiation therapy. Med. Phys. 46, e1\u2013e36 (2019).","journal-title":"Med. Phys."},{"key":"1758_CR7","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1053\/j.semradonc.2003.10.009","volume":"14","author":"G Mageras","year":"2004","unstructured":"Mageras, G. & Yorke, E. 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