Comparative analysis of artificial intelligence-based contouring of cardiac substructures on computed tomography scans for radiation therapy

Background and purpose: Artificial intelligence-based contouring tools enable assessment of radiation doses to cardiac substructures beyond mean heart dose. This study examined inter-solution variations in raw contours and the impact of non-contrast enhancement on contours for each solution. Materia...

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Bibliographic Details

Published in:	Physics and Imaging in Radiation Oncology
Main Authors:	Alexandra Moignier, Tanguy Perennec, Elise Prangères, Bastien Bernard, Angela Botticella, Xinru Chen, Robert Finnegan, Sandrine Huger, Anna Karlhede, Thomas Lacornerie, Fredrik Löfman, Jérémy Palisson, Charlotte Robert, Killian Sambourg, Jonas Söderberg, Remus Stoica, Grégory Delpon, Elvire Martin-Mervoyer, François Thillays, Loïg Vaugier
Format:	Article
Language:	English
Published:	Elsevier 2026-03-01
Subjects:	Cardiac substructures Auto-contouring Artificial intelligence Thoracic radiotherapy Contrast sensitivity
Online Access:	http://www.sciencedirect.com/science/article/pii/S2405631626000357