ArticleJournal of the Korean Society of Radiology2025
Comparison of Biparametric MRI and Multiparametric MRI Using Split Dynamic MRI in Prostate Cancer Diagnosis.
Article in Journal of the Korean Society of Radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Multimodal artificial intelligence for prostate cancer imaging: workflow-relevant fusion of mpMRI, PSMA PET, ultrasound, and clinical data for diagnosis, local staging, and treatment personalization.Abdominal radiology (New York) · 2026Review
- MRI-derived T stage predicts nodal positivity on PSMA PET/CT in high-risk primary prostate cancer.Frontiers in nuclear medicine · 2026Article
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10 authors.
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Abstract
Purpose: To compare the diagnostic performance between biparametric MRI (bpMRI) and multiparametric MRI (mpMRI) using split dynamic MRI for detecting clinically significant prostate cancer (csPCa) with Prostate Imaging and Reporting Data System (PI-RADS) v2.1, using prostatectomy as the reference standard of pathologic analysis. Materials and Methods: We retrospectively analyzed 77 PCa cases in 60 patients who underwent radical prostatectomy for biopsy-proven prostate cancer. The MR Images of the prostate were interpreted in consensus by two experienced radiologists (aged 3 and 35 years). We retrospectively reviewed the MRI images according to PI-RADS v2.1 and recorded the scores from T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), dynamic contrast-enhanced (DCE) imaging, and peak relaxation rate (R2 Results: The area under the curve, sensitivity, specificity, and accuracy for diagnosing csPCa with PI-RADS v2.1 in all lesions and peripheral zone (PZ) lesions were not significantly different between the bpMRI, mpMRI1, and mpMRI2 protocols ( Conclusion: mpMRI using split dynamic MRI has diagnostic performance similar to that of bpMRI for detecting csPCa using PI-RADS v2.1.
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