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CT images and radiotherapy treatment planning of patients with breast cancer: A dataset

The data presented here were originally collected for the research project “CT-Scan processing and analysis in patient with breast cancer after radiotherapy”. Also, it reported in our study “Prediction of Lung Tissue Damage by Evaluating Clinical and Dosimetric Parameters in Breast Cancer Patients”...

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Detalles Bibliográficos
Autores principales: Rezaei, Mohammad, Mohammadbeigi, Ahmad, Khoshgard, Karim, Haghparast, Abbas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5480817/
https://www.ncbi.nlm.nih.gov/pubmed/28664175
http://dx.doi.org/10.1016/j.dib.2017.06.002
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author Rezaei, Mohammad
Mohammadbeigi, Ahmad
Khoshgard, Karim
Haghparast, Abbas
author_facet Rezaei, Mohammad
Mohammadbeigi, Ahmad
Khoshgard, Karim
Haghparast, Abbas
author_sort Rezaei, Mohammad
collection PubMed
description The data presented here were originally collected for the research project “CT-Scan processing and analysis in patient with breast cancer after radiotherapy”. Also, it reported in our study “Prediction of Lung Tissue Damage by Evaluating Clinical and Dosimetric Parameters in Breast Cancer Patients” (Hasanabdali et al., 2016) [1]. This article describes and directly links to 52 subjects referred to Mahdieh Oncology and Radiotherapy Center from February to August 2015. Treatment planning was done for delivering 50 Gy dose to PTV in 25 fractions. the lungs and heart objects were extracted from CT images along with compliance Dose plan. Dose-volume histogram (DVH) and Dose-mass histogram (DMH) extracted using CT images and dose plan matrix. Moreover, the complete clinical and dosimetric specifications of subjects is attached.
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spelling pubmed-54808172017-06-29 CT images and radiotherapy treatment planning of patients with breast cancer: A dataset Rezaei, Mohammad Mohammadbeigi, Ahmad Khoshgard, Karim Haghparast, Abbas Data Brief Data Article The data presented here were originally collected for the research project “CT-Scan processing and analysis in patient with breast cancer after radiotherapy”. Also, it reported in our study “Prediction of Lung Tissue Damage by Evaluating Clinical and Dosimetric Parameters in Breast Cancer Patients” (Hasanabdali et al., 2016) [1]. This article describes and directly links to 52 subjects referred to Mahdieh Oncology and Radiotherapy Center from February to August 2015. Treatment planning was done for delivering 50 Gy dose to PTV in 25 fractions. the lungs and heart objects were extracted from CT images along with compliance Dose plan. Dose-volume histogram (DVH) and Dose-mass histogram (DMH) extracted using CT images and dose plan matrix. Moreover, the complete clinical and dosimetric specifications of subjects is attached. Elsevier 2017-06-10 /pmc/articles/PMC5480817/ /pubmed/28664175 http://dx.doi.org/10.1016/j.dib.2017.06.002 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Rezaei, Mohammad
Mohammadbeigi, Ahmad
Khoshgard, Karim
Haghparast, Abbas
CT images and radiotherapy treatment planning of patients with breast cancer: A dataset
title CT images and radiotherapy treatment planning of patients with breast cancer: A dataset
title_full CT images and radiotherapy treatment planning of patients with breast cancer: A dataset
title_fullStr CT images and radiotherapy treatment planning of patients with breast cancer: A dataset
title_full_unstemmed CT images and radiotherapy treatment planning of patients with breast cancer: A dataset
title_short CT images and radiotherapy treatment planning of patients with breast cancer: A dataset
title_sort ct images and radiotherapy treatment planning of patients with breast cancer: a dataset
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5480817/
https://www.ncbi.nlm.nih.gov/pubmed/28664175
http://dx.doi.org/10.1016/j.dib.2017.06.002
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