一个基于串行MRI的深度学习模型,用于预测局部高级鼻癌患者的存活率

Jia Kou1, Jun-Yi Peng1, Wen-Bing Lv1

  • 1From the Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou 510060, China (J.K., C.F.W., Z.H.C., G.Q.Z., Y.Q.W., L.L., Y.S.); Department of Radiotherapy Center, The Sixth Affiliated Hospital, School of Medicine, South China University of Technology, Foshan, China (J.Y.P.); School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, China (L.J.L.); and Department of Electronic Engineering, Information School, Yunnan University, Kunming, China (W.B.L.).

PubMed
概括

在诱导化疗前后使用连续MRI扫描的深度学习模型准确地预测了局部区域高级鼻癌 (LA-NPC) 的存活率. 这种放射学临床模型有助于风险分层和个性化治疗决策.

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