Machine learning-driven imaging data for early prediction of lung toxicity in breast cancer radiotherapy

Machine learning-driven imaging data for early prediction of lung toxicity in breast cancer radiotherapy

Abstract One possible adverse effect of breast irradiation is the development of pulmonary fibrosis. The aim of this study was to determine whether planning CT scans can predict which patients are more likely to develop lung lesions after treatment. A retrospective analysis of 242 patient records wa...

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Bibliographic Details
Main Authors: Tamás Ungvári, Döme Szabó, András Győrfi, Zsófia Dankovics, Balázs Kiss, Judit Olajos, Károly Tőkési
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Breast cancer
Radiotherapy
Machine learning
Lung injury
CT image
Online Access:https://doi.org/10.1038/s41598-025-02617-4
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https://doi.org/10.1038/s41598-025-02617-4

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