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March 29, 2026BMC Urology0 citationsOpen Access

Added value of systematic biopsy in patients with positive MRI-US fusion targeted biopsy for clinically significant prostate cancer: a single-center retrospective study

JZJingwen ZhangJCJie ChenJJJingyi Jin

Key Points

  • To assess the benefits of systematic biopsy in patients with positive targeted biopsy results for clinically significant prostate cancer.
  • Retrospective analysis of 260 patients receiving transperineal MRI-US fusion biopsy with both targeted and systematic biopsy.
  • Defined events of zero-benefit from systematic biopsy based on biopsy outcome classifications.
  • Used multivariate logistic regression to identify predictors of systematic biopsy zero-benefit.
  • Developed and validated a predictive model with AUC analysis and calibration plots.
  • 25 patients (9.6%) showed systematic biopsy zero-benefit despite positive targeted biopsy.
  • Larger prostate volume, lower PSAD, and lower-risk PI-RADS scores characterized the zero-benefit group.
  • Predictive model exhibited high discrimination (AUC = 0.910) and excellent negative predictive value (NPV = 98.1%).
  • If systematic biopsy was omitted, 25 cases of clinically significant prostate cancer would have been missed.

Abstract

To evaluate the added value of systematic biopsy (SB) in patients with positive targeted biopsy (TB) in the context of transperineal MRI-US fusion prostate biopsy, specifically focusing on clinically significant prostate cancer (csPCa), and to identify characteristics of patients who may benefit from a TB-only strategy. We retrospectively enrolled 260 patients who underwent transperineal MRI-US fusion biopsy (4-core TB plus 12-core SB) at Nantong First People’s Hospital between May 2024 and November 2025. All patients had positive TB results for prostate cancer. SB zero-benefit for csPCa was defined as TB detecting csPCa (Grade Group ≥ 2) while SB detecting no csPCa (either negative or only Grade Group 1). Multivariate logistic regression was used to analyze predictors of SB zero-benefit. A predictive model was constructed and validated using Bootstrap (2000 resamples). Model performance was assessed using ROC curves, calibration plots, and decision curve analysis (DCA). Among 260 patients with TB-detected csPCa, 25 (9.6%) exhibited SB zero-benefit for csPCa. Compared with the SB-positive group (n = 235), the SB zero-benefit group exhibited significantly larger prostate volume, lower PSAD, smaller lesion size, and a distribution toward lower-risk PI-RADS scores. Multivariate analysis revealed that lesion size (OR = 0.802, 95%CI: 0.657–0.978, P = 0.030) and PI-RADS score (4 vs. 3: OR = 0.022, P < 0.001; 5 vs. 3: OR = 0.027, P = 0.013) were independent predictors of SB zero-benefit. The predictive model demonstrated excellent discrimination (AUC = 0.910, 95%CI: 0.851–0.968; bootstrap-corrected AUC = 0.892) with acceptable calibration (Hosmer-Lemeshow P = 0.503). At the optimal cutoff (predicted probability = 0.122), sensitivity of 84.0%, specificity of 87.2%, and negative predictive value (NPV) of 98.1%. If SB had been omitted, 25 patients (9.6%) with csPCa detected only by SB would have been missed, while TB alone detected 100% of csPCa in this cohort. DCA showed higher net benefit across threshold probabilities of 0.1–0.9 compared to the “biopsy-all” strategy. Approximately 10% of patients with TB-detected csPCa exhibited SB zero-benefit, characterized by small lesions (≤ 11 mm) and low PI-RADS scores (3–4). The predictive model based on lesion size and PI-RADS effectively identified patients with low SB value (NPV 98.1%) in this internal validation. However, given the single-center retrospective design, small event number (n = 25), lack of external validation, and the 9.6% miss rate if SB were omitted, this model requires prospective multicenter validation before clinical implementation. For patients at initial diagnosis, a transperineal TB-only strategy may warrant further prospective validation in selected patients with PI-RADS 3–4 lesions ≤ 11 mm, whereas PI-RADS 5 lesions should undergo combined biopsy given the risk of false-positive MRI findings and the need for maximal cancer characterization. Not applicable.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69c8c43ede0f0f753b39ef0chttps://doi.org/10.1186/s12894-026-02123-3
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