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经会阴徒手前列腺融合活检与人工智能驱动的自动轮廓描绘:一项前瞻性研究的初步结果

Transperineal Free-Hand Prostate Fusion Biopsy with AI-Driven Auto-Contouring: First Results of a Prospective Study.

作者信息

Oderda Marco, Calleris Giorgio, Dematteis Alessandro, Greco Alessandro, Marquis Alessandro, Marra Giancarlo, Merani Umberto, Sasia Alberto, Venturi Alessio, Zitella Andrea, Gontero Paolo

机构信息

Division of Urology, Department of Surgical Sciences, Molinette Hospital, University of Turin, 10126 Torino, Italy.

出版信息

Cancers (Basel). 2025 Jul 18;17(14):2381. doi: 10.3390/cancers17142381.

DOI:10.3390/cancers17142381
PMID:40723263
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12294071/
Abstract

: prostate fusion biopsies are key in the diagnosis of prostate cancer (PCa); however, the fusion imaging system is not always user-friendly or reliable. The aim of this study was to assess the feasibility, accuracy, and effectiveness of transperineal fusion biopsies performed with a novel fusion imaging device equipped with AI-driven auto-contouring. : data from 148 patients who underwent MRI-targeted and systematic prostate fusion biopsy with UroFusion (Esaote) were prospectively collected. All biopsies were performed in-office, under local anaesthesia. : cancer detection rate was 64% overall and 56% for clinically significant PCa (csPCa, ISUP ≥ 2). PCa was detected in 35%, 65% and 84% of lesions scored as PI-RADS 3, 4 and 5, respectively. Outfield positive systematic cores were found in the contralateral lobe in one third of cases. Median device-time to obtain fusion imaging was 5 min and median biopsy duration was 15 min. Median difference in volume estimation between ultrasound and MRI auto-contouring was only 1 cc. Detection rate did not differ between experienced and novice, supervised users. : in this initial prospective experience, fusion biopsies performed with UroFusion AI-driven auto-contouring system appeared time-efficient, accurate, well tolerated, and user-friendly, with comparable outcomes between experienced and novice users. Systematic biopsies remain highly recommended given the non-negligible rates of positive outfield cores.

摘要

前列腺融合活检是前列腺癌(PCa)诊断的关键;然而,融合成像系统并不总是用户友好或可靠的。本研究的目的是评估使用配备人工智能驱动自动轮廓的新型融合成像设备进行经会阴融合活检的可行性、准确性和有效性。前瞻性收集了148例接受UroFusion(Esaote)磁共振成像靶向和系统性前列腺融合活检患者的数据。所有活检均在办公室局部麻醉下进行。总体癌症检出率为64%,临床显著前列腺癌(csPCa,ISUP≥2)的检出率为56%。在PI-RADS评分为3、4和5的病变中,分别有35%、65%和84%检测到前列腺癌。三分之一的病例在对侧叶发现了外场阳性系统性活检组织。获得融合成像的设备中位时间为5分钟,活检中位持续时间为15分钟。超声和磁共振成像自动轮廓之间的体积估计中位差异仅为1立方厘米。经验丰富的用户和新手、有监督的用户之间的检测率没有差异。在这项初步的前瞻性研究中,使用UroFusion人工智能驱动自动轮廓系统进行的融合活检似乎省时、准确、耐受性好且用户友好,经验丰富的用户和新手用户之间的结果相当。鉴于外场阳性活检组织的发生率不可忽视,仍强烈建议进行系统性活检。

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本文引用的文献

1
Comparison of MRI artificial intelligence-guided cognitive fusion-targeted biopsy versus routine cognitive fusion-targeted prostate biopsy in prostate cancer diagnosis: a randomized controlled trial.MRI 人工智能引导的认知融合靶向活检与常规认知融合靶向前列腺活检在前列腺癌诊断中的比较:一项随机对照试验。
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PI-RADS 版本 2.1 前列腺 MRI 诊断性能基准的更新:系统评价和荟萃分析。
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Cancers (Basel). 2024 Jul 31;16(15):2731. doi: 10.3390/cancers16152731.
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MRI-Targeted Prostate Fusion Biopsy: What Are We Missing outside the Target? Implications for Treatment Planning.MRI 靶向前列腺融合活检:在靶区外我们遗漏了什么?对治疗计划的影响。
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Prostate cancer detection and complications of MRI-targeted prostate biopsy using cognitive registration, software-assisted image fusion or in-bore guidance: a systematic review and meta-analysis of comparative studies.使用认知配准、软件辅助图像融合或孔内引导进行前列腺癌检测及MRI靶向前列腺活检的并发症:一项比较研究的系统评价和荟萃分析
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Radiomic Machine-Learning Analysis of Multiparametric Magnetic Resonance Imaging in the Diagnosis of Clinically Significant Prostate Cancer: New Combination of Textural and Clinical Features.基于多参数磁共振成像的放射组学机器学习分析在诊断临床显著前列腺癌中的应用:纹理特征和临床特征的新组合。
Curr Oncol. 2023 Feb 7;30(2):2021-2031. doi: 10.3390/curroncol30020157.
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Predicting clinically significant prostate cancer with a deep learning approach: a multicentre retrospective study.深度学习方法预测具有临床意义的前列腺癌:一项多中心回顾性研究。
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A prospective multi-center randomized comparative trial evaluating outcomes of transrectal ultrasound (TRUS)-guided 12-core systematic biopsy, mpMRI-targeted 12-core biopsy, and artificial intelligence ultrasound of prostate (AIUSP) 6-core targeted biopsy for prostate cancer diagnosis.一项前瞻性多中心随机对照试验,评估经直肠超声(TRUS)引导下的12针系统活检、磁共振成像(mpMRI)靶向12针活检以及人工智能前列腺超声(AIUSP)6针靶向活检在前列腺癌诊断中的效果。
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BJU Int. 2021 Oct;128(4):524. doi: 10.1111/bju.15525.