- 2025-11
- Academic radiology 32(11)
- Qian Zhang
- Yuxuan Wang
- Bing Zhou
- Chuanxian Liu
- Ping Li
- Jianzhi Ji
Study Design
- Type
- Meta-Analysis
- Sample size
- n = 2,340
- Population
- 2340 patients with 2367 PI-RADS 3 lesions
- Methods
- Systematic search on Embase, PubMed, Cochrane Library, and Web of Science; quality assessment using radiomics quality score (RQS); meta-analyses
Rationale and objectives
The noninvasive diagnosis of prostate cancer (PCa) in Prostate Imaging-Reporting and Data System (PI-RADS) 3 lesions remains challenging. The effectiveness of radiomics for detecting PCa in PI-RADS 3 lesions has been explored in some studies, but systematic evidence is still lacking to date. Therefore, this study was conducted to synthesize the effectiveness of radiomics for detecting PCa in PI-RADS 3 lesions.Materials and methods
A systematic search was conducted on Embase, PubMed, Cochrane Library, and Web of Science until September 15, 2024 for studies on the detection performance of radiomics for all PCa and clinically significant PCa (csPCa) in PI-RADS 3 lesions. Quality assessment was performed using the radiomics quality score (RQS).Results
Twelve studies were included, encompassing 2367 PI-RADS 3 lesions in 2340 patients. Meta-analyses revealed that in the validation set, the pooled sensitivity, specificity, and area under the summary receiver operating characteristic curve (AUC) of radiomics were 0.76 (95%CI 0.71-0.80), 0.79 (95%CI 0.72-0.85), and 0.78 (95%CI 0.32-0.96), respectively, for detecting all PCa. In the validation set, the pooled sensitivity, specificity, and AUC of radiomics were 0.76 (95%CI 0.71-0.80), 0.82 (95%CI 0.74-0.88), and 0.77 (95%CI 0.49-0.92), respectively, for detecting csPCa.Conclusion
Radiomics possesses high accuracy in the detection of PCa in PI-RADS 3 lesions. However, both the number and quality of the original studies included were limited, so it is necessary to conduct more prospective, large-sample, multicenter studies in the future.