基于磁共振-经直肠超声图像人工智能融合功能辅助前列腺穿刺活检在前列腺癌筛查中的应用

doi:10.3969/j.issn.1005-6483.20251037

临床外科杂志 ›› 2026, Vol. 34 ›› Issue (4): 454-457.doi: 10.3969/j.issn.1005-6483.20251037

基于磁共振-经直肠超声图像人工智能融合功能辅助前列腺穿刺活检在前列腺癌筛查中的应用

郭笑扬阮远李金岩周洪勇陈利胡子好柯炜

435540湖北黄冈，湖北省黄冈市武穴市第一人民医院泌尿外科（郭笑扬、李金岩、周洪勇、陈利、胡子好、柯炜）；武汉大学人民医院泌尿外科（阮远）

收稿日期:2025-10-31 出版日期:2026-06-08 发布日期:2026-06-08
通讯作者: 柯炜，Email：34439095@qq.com
基金资助:
湖北省自然科学基金资助项目（2024AFC015）

Application value of MR-TRUS image artificial intelligence fusion in assisting prostate biopsy for prostate cancer screening

GUO Xiaoyang,RUAN Yuan,LI Jinyan,ZHOU Hongyong,CHEN Li,HU Zihao,KE Wei

^*Department of Urology Surgery,Renmin Hospital of Wuxue,Hubei Province,Huanggang 435540,China

Received:2025-10-31 Online:2026-06-08 Published:2026-06-08

摘要/Abstract

摘要： 目的探讨磁共振-经直肠超声（MR-TRUS）图像人工智能（AI）融合功能辅助前列腺穿刺活检在前列腺癌筛查中的临床应用价值。方法 2023年1月~2025年5月行前列腺穿刺活检的疑似前列腺癌病人212例。按照随机数表法分为两组，融合组106例，采用Venus超声MR-TRUS图像AI融合引导；传统组106例，采用常规经直肠超声（TRUS）引导。比较两组穿刺活检阳性率、假阴性率、不同Gleason评分肿瘤检出率、穿刺针数、定位误差及术后并发症（直肠出血、尿路感染、尿潴留）发生率。结果融合组穿刺活检阳性率为62.26%，显著高于传统组的43.40%，差异有统计学意义（P＜0.01）；融合组假阴性率为1.89%，明显低于传统组的9.43%，两组比较差异有统计学意义（P＜0.01）；融合组Gleason评分≤6分、7分、≥8分肿瘤检出率分别为２６．４２％、２９．２４％和６．６０％，传统组分别为１８．８７％、１６．９８％和７．５５％，两组低中危分化腺癌检出率比较差异有统计学意义（P＜0.01）。融合组平均穿刺针数为（7.9±1.2）针，传统组为（13.2±1.6）针；融合组定位误差为（1.1±0.3）mm，传统组为（4.0±0.8）mm，两组比较差异有统计学意义（P＜0.05）。融合组术后并发症总发生率为5.66%，低于传统组的19.81%，两组比较差异有统计学意义（P＜0.05）。结论 MR-TRUS图像AI融合功能可提升低中危分化前列腺癌的检出率，降低前列腺癌漏诊率，减少穿刺损伤与并发症。

关键词: 前列腺癌, 磁共振-经直肠超声图像融合, 人工智能, 穿刺活检

Abstract: Objective To analyze the clinical application value of MR-TRUS image artificial intelligence (AI) fusion-assisted prostate biopsy in prostate cancer screening.Methods This study enrolled 212 prostate cancer patients undergoing prostate biopsy at our hospital from January 2023 to May 2025.They were randomly divided into a fusion group (106 cases,using Venus ultrasound with MR-TRUS image AI fusion guidance) and a traditional group (106 cases,using conventional transrectal ultrasound (TRUS) guidance).The following parameters were compared between the two groups:biopsy positive rate,false-negative rate,detection rate of tumors with different Gleason scores (GS),number of biopsy cores,targeting error,and incidence of postoperative complications (rectal bleeding,urinary tract infection,urinary retention).Results The biopsy positive rate of fusion group was 62.26% (66/106),significantly higher than 43.40% (46/106) in the traditional group (P<0.01).The false-negative rate in the fusion group was 1.89% (2/106),significantly lower than 9.43% (10/106) the traditional group (P<0.01).In the fusion group,the detection rates for tumors with GS≤6、GS=7and GS≥8 26.42％、29.24％and 6.60％，respectively．In the traditional group，these rates were 18.87％、16.98％and 7.55％，respectively.The difference in detection rate for low-to-intermediate-risk differentiated adenocarcinoma was statistically significant (P<0.01).The fusion group had a lower average number of biopsy cores (7.9±1.2) compared to the traditional group (13.2±1.6) (P<0.05) and a smaller targeting error [(1.1±0.3)mm VS (4.0±0.8)mm](P<0.05).The total incidence of postoperative complications in the fusion group was 5.66% (6/106),lower than the 19.81% (21/106) in the traditional group (P<0.05).Conclusion MR-TRUS image AI fusion can improve the detection rate of low-to-intermediate-risk differentiated prostate cancer,reduce the prostate cancer missed diagnosis rate,and decrease biopsy-related trauma and complications.

Key words: prostate cancer, MR-TRUS image fusion, artificial intelligence, aspiration biopsy

郭笑扬阮远李金岩周洪勇陈利胡子好柯炜. 基于磁共振-经直肠超声图像人工智能融合功能辅助前列腺穿刺活检在前列腺癌筛查中的应用[J]. 临床外科杂志, 2026, 34(4): 454-457.

GUO Xiaoyang, RUAN Yuan, LI Jinyan, ZHOU Hongyong, CHEN Li, HU Zihao, KE Wei. Application value of MR-TRUS image artificial intelligence fusion in assisting prostate biopsy for prostate cancer screening[J]. JOURNAL OF CLINICAL SURGERY, 2026, 34(4): 454-457.

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基于磁共振-经直肠超声图像人工智能融合功能辅助前列腺穿刺活检在前列腺癌筛查中的应用

Application value of MR-TRUS image artificial intelligence fusion in assisting prostate biopsy for prostate cancer screening

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