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Updated: Jan 11, 2026

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基于PET/CT的深度学习模型预测SBRT后早期NSCLC的远程转移:一项多中心研究

Lu Yu1, Shenlun Chen2, Junyi Li3

  • 1Department of Radiology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute & Hospital, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China; Department of Radiation Oncology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute & Hospital, Tianjin's Clinical Research Center for Cancer, National Clinical Research Center for Cancer, Tianjin, China.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
|November 19, 2025
PubMed
概括

使用18F-FDG PET/CT图像的新型深度学习模型准确地预测了在接受立体体辐射疗法 (SBRT) 的早期非小细胞肺癌 (NSCLC) 患者的远程转移风险. 这种融合模型有助于个性化治疗决策.

关键词:
深度学习是一种深度学习.遥远的转移 遥远的转移非小细胞肺癌是非小细胞肺癌.聚乙烯/聚乙烯/聚乙烯立体性身体放射治疗 立体性身体放射治疗

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