European journal of nuclear medicine and molecular imaging
Fully automated volumetric assessment of tumor burden using artificial intelligence on 68Ga-PSMA-11 PET predicts survival after 177Lu-PSMA therapy in metastatic Castration-resistant prostate cancer.
Shiming Zang, Qingle Meng, Xiaoyuan Li, Tiantian Guo, Lele Zhang, Zhenyu Zhao, Fei Yu, Pengjun Zhang, Wenyu Wu, Yudan Ni, Yuhang Shi, Guoqiang Shao, Youdan Feng, Lingzhi Hu, Ruipeng Jia
Published: 202510.1007/s00259-025-07628-x
Abstract
PURPOSE: Despite the rapid development of artificial intelligence (AI)-powered automated segmentation tools for PET/CT imaging, their prognostic value in predicting survival outcomes remains inadequately assessed. Our objective was to explore the pro…
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