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

Autor: Hong J; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA., Reyngold M; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA., Crane C; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA., Cuaron J; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA., Hajj C; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA., Mann J; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA., Zinovoy M; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA., Yorke E; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA., LoCastro E; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA., Apte AP; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA., Mageras G; Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA. magerasg@mskcc.org.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2022 Oct 21; Vol. 9 (1), pp. 637. Date of Electronic Publication: 2022 Oct 21.
DOI: 10.1038/s41597-022-01758-9
Abstrakt: 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 ( https://doi.org/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.
(© 2022. The Author(s).)
Databáze: MEDLINE
Externí odkaz: