Development and validation of a preoperative 18F-PSMA-1007 PET/MR prognostic model for predicting biochemical recurrence in prostate cancer: a multicentre study.
Sep 2026· European Journal of Nuclear Medicine and Molecular Imaging· 0 citations· 35 references
Medicine
TL;DR
The 18F-PSMA-1007 PET/MR model provided externally validated prognostic information and showed incremental value beyond CAPRA-S at 3 years, which is required before it can guide secondary-treatment decisions.
IntroductionPretreatment prediction of benefit from targeted therapy plus immunotherapy remains uncertain in unresectable hepatocellular carcinoma (HCC). We developed and internally validated a model integrating baseline 18F-FDG PET/CT radiomics with clinical indicators.MethodsThis single-center retrospective study inc...
Yi-Wen Cheng, Cai-Long Chen, Yan-Yan Tang et al.· Technology in Cancer Researc...· 0 citations
PURPOSE
[177Lu]Lu-PSMA-617 is a standard-of-care therapy for metastatic castration-resistant prostate cancer (mCRPC). Given the heterogeneous clinical responses, accessible prognostic tools are needed. We recently demonstrated that the Bellmunt Risk Score (BRS)-comprising ECOG performance status >0, hemoglobin <10 g/dL...
T. Büttner, Mike Wenzel, Philipp Mandel et al.· European Journal of Nuclear...· 0 citations
To predict 3-year overall survival (OS) in patients with colorectal cancer (CRC) using baseline
18
F-FDG PET/CT radiomics. This retrospective study entrolled 166 patients with colorectal cancer (CRC) , who were randomly assigned into a training cohort (
n
= 133) and an internal random hold-out validation cohor...
Na Wang, Huan-Xin Zhu, Meng Dai et al.· Scientific Reports· 0 citations
Objectives To characterize recurrence heterogeneity among patients with VI-RADS 2 non-muscle-invasive bladder cancer (NMIBC) and to develop and internally validate a recurrence-free survival (RFS) prediction model incorporating quantitative MRI features. Methods This retrospective study included 342 patients with patho...
Jun-Peng Sun, Ziyong Wang, Maoa Yang et al.· Frontiers in Oncology· 0 citations
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