Development and validation of risk-stratified biopsy decision pathways incorporating MRI and PSA-derived indicators
- Pengfei Jin 1, Ximing Wang 2, Zhenwei Ding 3, Liqin Yang 4, Chenyang Xu 5, Xu Wang 1, Fawei Huang 6
- Pengfei Jin 1, Ximing Wang 2, Zhenwei Ding 3
- 1Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
- 2Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, China.
- 3Department of Radiology, The Second People's Hospital of Wuhu, Wuhu, China.
- 4Department of Radiology, Hangzhou Hospital of Traditional Chinese Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
- 5Department of Pathology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
- 6Department of Radiology, Pinghu Hospital of Traditional Chinese Medicine, Pinghu, China.
- 0Department of Radiology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
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View abstract on PubMed
Summary
This summary is machine-generated.Developing risk-adapted pathways using MRI, prostate-specific antigen density (PSAD), and free to total PSA (f/tPSA) improves clinically significant prostate cancer (csPCa) detection while reducing unnecessary biopsies.
Area Of Science
- Urology
- Radiology
- Oncology
Background
- Prostate cancer diagnosis relies on accurate risk stratification to balance detection of clinically significant disease with avoidance of unnecessary procedures.
- Magnetic Resonance Imaging (MRI) and prostate-specific antigen (PSA) markers like PSA density (PSAD) and free to total PSA ratio (f/tPSA) are key tools in this assessment.
Purpose Of The Study
- To develop and evaluate risk-adapted conditional biopsy pathways integrating MRI, PSAD, and f/tPSA for enhanced detection of clinically significant prostate cancer (csPCa).
- To minimize the rate of 'negative' biopsies in patients with low-risk profiles.
Main Methods
- Retrospective analysis of 1018 patients' data including PI-RADS category, PSAD, f/tPSA, and biopsy-pathology.
- Construction of risk stratification matrix tables combining MRI findings with PSA-derived indicators.
- Establishment of six biopsy decision pathways (three clinical, three MRI-combined) and assessment of csPCa detection, biopsy avoidance, and negative biopsy rates.
- Evaluation of pathway net benefit using Decision Curve Analysis (DCA).
Main Results
- MRI-combined pathways demonstrated higher csPCa detection rates (94%-96%) compared to clinical pathways (85%-91%).
- The 'MRI + PSAD + f/tPSA' pathway achieved a 94% csPCa detection rate with 40% biopsy avoidance and 25% negative biopsy rate.
- Decision Curve Analysis confirmed significantly higher net benefits for MRI-combined pathways.
Conclusions
- Integrating MRI with PSA-derived indicators (PSAD, f/tPSA) provides effective risk stratification for prostate cancer management.
- These integrated pathways enhance csPCa detection and significantly reduce unnecessary 'negative' biopsies, improving patient outcomes.
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