Prediction of bone oligometastases in breast cancer using models based on deep learning radiomics of PET/CT imaging

Prediction of bone oligometastases in breast cancer using models based on deep learning radiomics of PET/CT imaging

ObjectiveTo develop a deep learning radiomics(DLR)model integrating PET/CT radiomics, deep learning features, and clinical parameters for early prediction of bone oligometastases (≤5 lesions) in breast cancer.MethodsWe retrospectively analyzed 207 breast cancer patients with 312 bone lesions, compri...

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Bibliographic Details
Main Authors: Guoxiu Lu, Ronghui Tian, Wei Yang, Jiayi Zhao, Wenjing Chen, Zijie Xiang, Shanhu Hao, Guoxu Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Oncology
Subjects:
breast cancer
bone oligometastases
deep learning
radiomics
deep learning radiomics
PET/CT
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1621677/full
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https://www.frontiersin.org/articles/10.3389/fonc.2025.1621677/full

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