Nomogram to predict the presence of PSMA-negative but FDG-positive lesion in castration-resistant prostate cancer: a multicenter cohort study

Author:

Pan Jian123,Zhang Tingwei123,Chen Shouzhen4,Bu Ting56,Zhao Jinou123,Ni Xudong123,Shi Benkang4,Gan Hualei37,Wei Yu123,Wang Qifeng37,Wang Beihe123,Wu Junlong123,Song Shaoli38,Wang Feng5,Liu Chang38,Ye Dingwei123,Zhu Yao123ORCID

Affiliation:

1. Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China

2. Shanghai Genitourinary Cancer Institute, Shanghai, China

3. Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China

4. Department of Urology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Shandong Province, China

5. Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, China

6. Department of Nuclear Medicine, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing, China

7. Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China

8. Department of Nuclear Medicine, Fudan University Shanghai Cancer Center, Shanghai, China

Abstract

Background: PSMA-negative but FDG-positive (PSMA−/FDG+) lesion in dual-tracer (68Ga-PSMA and 18F-FDG) positron emission tomography/computed tomography (PET/CT) is associated with an unfavorable response to Lutetium-177 (177Lu)-PSMA-617. This study sought to develop both radiomics and clinical models for the precise prediction of the presence of PSMA−/FDG+ lesions in patients with castration-resistant prostate cancer (CPRC). Methods: A cohort of 298 patients who underwent dual-tracer PET/CT with a less than 5-day interval was included. The evaluation of the prognostic performance of the radiomics model drew upon the survival data derived from 40 patients with CRPC treated with 177Lu-PSMA-617 in an external cohort. Two endpoints were evaluated: (a) prostate-specific antigen (PSA) response rate, defined as a reduction exceeding 50% from baseline and (b) overall survival (OS), measured from the initiation of 177Lu-PSMA-617 to death from any cause. Results: PSMA−/FDG+ lesions were identified in 56 (18.8%) CRPC patients. Both radiomics (area under the curve [AUC], 0.83) and clinical models (AUC, 0.78) demonstrated robust performance in PSMA−/FDG+ lesion prediction. Decision curve analysis revealed that the radiomics model yielded a net benefit over the ‘screen all’ strategy at a threshold probability of ⩾4%. At a 5% probability threshold, the radiomics model facilitated a 21% reduction in 18F-FDG PET/CT scans while only missing 2% of PSMA−/FDG+ cases. Patients with a low estimated score exhibited significantly prolonged OS (hazard ratio = 0.49, p = 0.029) and a higher PSA response rate (75% versus 35%, p = 0.011) compared to those with a high estimated score. Conclusion: This study successfully developed two models with accurate estimations of the risk associated with PSMA−/FDG+ lesions in CRPC patients. These models held potential utility in aiding the selection of candidates for 177Lu-PSMA-617 treatment and guiding 68Ga-PSMA PET/CT-directed radiotherapy.

Funder

National Natural Science Foundation of China

Clinical Research Plan of SHDC

Beijing Xisike Clinical Oncology Research Foundation

Shanghai Shenkang Research Physician Innovation and Transformation Ability Training Project

Chinese Anti-Cancer Association Foundation

Shanghai Anti-Cancer Association Eyas Project

Oriental Scholar Professorship, Shanghai Municipal Commission of Education, China

Shanghai Academic/Technology Research Leader

Clinical Research Project of Shanghai Municipal Health Bureau

Cancer Research Fund of The Chinese Society of Clinical Oncology

Shanghai Sailing Program

Natural Science Foundation of Shanghai Municipality

Shanghai Medical Innovation Research Special Project

Chinese Anti-Cancer Association-Hengrui PARP Inhibitor Cancer Research Foundation

Publisher

SAGE Publications

Subject

Oncology

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