How to contour the different heart subregions for future deep-learning modeling of the heart: A practical pictorial proposal for radiation oncologists.
Automatic modeling
Delineation
Heart subregions
Radio-induced cardiotoxicity
Radiotherapy
Journal
Clinical and translational radiation oncology
ISSN: 2405-6308
Titre abrégé: Clin Transl Radiat Oncol
Pays: Ireland
ID NLM: 101713416
Informations de publication
Date de publication:
Mar 2024
Mar 2024
Historique:
received:
24
01
2023
revised:
14
12
2023
accepted:
16
12
2023
medline:
11
1
2024
pubmed:
11
1
2024
entrez:
11
1
2024
Statut:
epublish
Résumé
There are currently no accurate rules for manually delineating the subregions of the heart (cavities, vessels, aortic/mitral valves, Planning organ at Risk Volumes for coronary arteries) with the perspective of deep-learning based modeling. Our objective was to present a practical pictorial view for radiation oncologists, based on the RTOG atlas and anatomical complementary considerations for the cases where the RTOG guidelines are missing.
Identifiants
pubmed: 38204729
doi: 10.1016/j.ctro.2023.100718
pii: S2405-6308(23)00143-X
pmc: PMC10776448
doi:
Types de publication
Journal Article
Langues
eng
Pagination
100718Informations de copyright
© 2023 Published by Elsevier B.V. on behalf of European Society for Radiotherapy and Oncology.
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.