CT,PD-L1:

Lihong Chen1, Yuncong Zhao2, Xiaomin Tian3

  • 1Department of Radiology, Fujian Medical University Union Hospital, Fuzhou 350001, China (L.C., Y.C., Y.X.); The School of Medical Imaging, Fujian Medical University, Fuzhou 350100, China (L.C., Y.Z., S.L., K.C., Y.X.); Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors (Fujian Medical University), Fuzhou 350001, China (L.C., Y.X.).

Academic radiology
|January 17, 2026
PubMed
概括

这项研究表明,使用双能量CT图的深度学习模型可以准确地预测PD-L1表达在胃癌 (GC) 中的非侵入性. 该工具有助于指导GC患者的免疫治疗决策.