Application of novel machine learning model in [68Ga] GaPSMA-11 PET/CT: Predicting survival in oligometastatic prostate cancer patients

被引：0
|
作者：
Dell'Oro, M. [1 ]
Ebert, M. A. [2 ]
Ong, J. [3 ]
McCarthy, M. [3 ]
Tang, C. [2 ]
Francis, R. J. [4 ]
机构：
[1] Univ Western Australia, Sch Med, Australian Ctr Quantitat Imaging, Perth, WA, Australia
[2] Sir Charles Gairdner Hosp, Dept Radiat Oncol, Nedlands, WA, Australia
[3] Fiona Stanley Hosp, Dept Nucl Med, Perth, WA, Australia
[4] Sir Charles Gairdner Hosp, Dept Nucl Med, Nedlands, WA, Australia
来源：
ANNALS OF ONCOLOGY | 2023年 / 34卷
关键词：
D O I：
10.1016/j.annonc.2023.09.2747
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
1797P
引用
收藏
页码：S972 / S972
页数：1
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