Diagnostic value of multiparametric MRI deep learning artificial intelligence analysis combined with 68Ga-PSMA PET for prostate cancer
10.3760/cma.j.cn321828-20240628-00233
- VernacularTitle:多参数MRI深度学习人工智能分析联合 68Ga－PSMA PET对前列腺癌的诊断价值
- Author:
Chunxia QIN
1
;
Yuhu LYU
;
Zhibo DAI
;
Siqi WEI
;
Weiwei RUAN
;
Yongkang GAI
;
Xiaoli LAN
Author Information
1. 华中科技大学同济医学院附属协和医院核医学科、分子影像湖北省重点实验室，武汉 430022
- Keywords:
Prostatic neoplasms;
Prostate-specific membrane antigen;
Isotope labeling;
Gallium radioisotopes;
Positron-emission tomography;
Multiparametric magnetic re
- From:
Chinese Journal of Nuclear Medicine and Molecular Imaging
2024;44(9):516-521
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the diagnostic efficacy of the multiparametric MRI (mpMRI) deep learning artificial intelligence (AI) analysis system combined with 68Ga-prostate specific membrane antigen (PSMA) PET for prostate cancer. Methods:Data of 103 patients (age: 45-85 years) who underwent 68Ga-PSMA PET/MR at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from May 2018 to October 2023 for suspected or confirmed prostate cancer were retrospectively collected. ROI was delineated to measure SUV max of primary tumor or prostate, and a deep learning AI system was applied to analyze MR images of the prostate. The diagnostic efficacies of T 2 weighted imaging (WI), diffusion WI (DWI), mpMRI, PET SUV max, and PET/MR for prostate cancer were assessed, with using the pathological results as the gold standard. Results:Among 103 patients, 82 cases (79.61%) were with prostate cancer. PET unimodality demonstrated the best specificity (100%, 21/21), positive predictive value (100%, 58/58), and AUC (0.860, 95% CI: 0.777-0.920). The mpMRI AI analysis provided rapid diagnostic results and the sensitivity and accuracy were improved by combining with PET (sensitivities of PET, mpMRI and the combination of the two were 70.73%(58/82), 86.59%(71/82), and 92.68%(76/82), respectively; the accuracies were 76.70%(79/103), 81.55%(84/103) and 86.41%(89/103), respectively). Among 44 patients with negative PET, 30 patients received an accurate diagnosis when the results of mpMRI AI analysis were added. Conclusions:68Ga-PSMA PET demonstrates good specificity for prostate cancer and mpMRI AI analysis is time-saving. The combined application improves the diagnostic sensitivity and accuracy, which provides a valuable tool for 68Ga-PSMA PET/MR image analysis.
