Enhanced detection of clinically significant prostate cancer in targeted and non-targeted regions using BiopSee MRI/ultrasound fusion biopsy.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
59 patients who underwent fusion biopsy between February and November 2024.
I · Intervention 중재 / 시술
fusion biopsy between February and November 2024
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
추출되지 않음
[OBJECTIVES] This study evaluated the cancer detection profile of magnetic resonance imaging/transrectal ultrasound fusion-guided biopsies (fusion biopsy) using the BiopSee system in patients assessed
- p-value P = 0.012
- p-value P = 0.034
APA
Nakahara K, Obinata D, et al. (2025). Enhanced detection of clinically significant prostate cancer in targeted and non-targeted regions using BiopSee MRI/ultrasound fusion biopsy.. American journal of clinical and experimental urology, 13(4), 265-271. https://doi.org/10.62347/QODA6396
MLA
Nakahara K, et al.. "Enhanced detection of clinically significant prostate cancer in targeted and non-targeted regions using BiopSee MRI/ultrasound fusion biopsy.." American journal of clinical and experimental urology, vol. 13, no. 4, 2025, pp. 265-271.
PMID
40978092 ↗
Abstract 한글 요약
[OBJECTIVES] This study evaluated the cancer detection profile of magnetic resonance imaging/transrectal ultrasound fusion-guided biopsies (fusion biopsy) using the BiopSee system in patients assessed with the Prostate Imaging Reporting and Data System (PI-RADS) version 2.1, focusing on clinically significant prostate cancer (csPCa) detection in regions of interest (ROI) and non-ROI areas.
[METHODS] We retrospectively analyzed 59 patients who underwent fusion biopsy between February and November 2024. Detection rates of csPCa (grade group ≥ 2) were compared between the ROI and non-ROI regions, and clinical and biopsy characteristics were compared between patients with and without csPCa. Univariate logistic regression analysis was performed to identify predictors of csPCa.
[RESULTS] The median patient age was 74 years, with a median prostate-specific antigen (PSA) level of 8.93 ng/mL. The csPCa detection rate was significantly higher in the ROI than in the non-ROI regions (61% vs. 44%, P = 0.012). Across the cohort, PI-RADS 4 and 5 lesions were more common than PI-RADS 3 lesions. A higher PI-RADS score (4 or 5) was identified as a significant predictor of csPCa detection (odds ratio 5.14, P = 0.034), whereas age, PSA, number of ROIs, and biopsy core numbers were not significant predictors.
[CONCLUSIONS] Fusion biopsy using the BiopSee system achieved a high csPCa detection rate in targeted ROIs, especially for PI-RADS 4 and 5 lesions, while also highlighting the importance of combining systematic biopsy with targeted approaches because of the substantial proportion of csPCa detected in non-ROI regions.
[METHODS] We retrospectively analyzed 59 patients who underwent fusion biopsy between February and November 2024. Detection rates of csPCa (grade group ≥ 2) were compared between the ROI and non-ROI regions, and clinical and biopsy characteristics were compared between patients with and without csPCa. Univariate logistic regression analysis was performed to identify predictors of csPCa.
[RESULTS] The median patient age was 74 years, with a median prostate-specific antigen (PSA) level of 8.93 ng/mL. The csPCa detection rate was significantly higher in the ROI than in the non-ROI regions (61% vs. 44%, P = 0.012). Across the cohort, PI-RADS 4 and 5 lesions were more common than PI-RADS 3 lesions. A higher PI-RADS score (4 or 5) was identified as a significant predictor of csPCa detection (odds ratio 5.14, P = 0.034), whereas age, PSA, number of ROIs, and biopsy core numbers were not significant predictors.
[CONCLUSIONS] Fusion biopsy using the BiopSee system achieved a high csPCa detection rate in targeted ROIs, especially for PI-RADS 4 and 5 lesions, while also highlighting the importance of combining systematic biopsy with targeted approaches because of the substantial proportion of csPCa detected in non-ROI regions.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반
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