Nicole Kessa Wee, Cher Heng Tan, Zhen Wei Choo, Chau Hung Lee
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摘要

导言:前列腺影像报告和数据系统(PI-RADS)3病变的癌症发病率很低。我们旨在确定可对 PI-RADS 3 过渡区(TZ)病变进行风险分层的临床和磁共振成像(MRI)参数,以指导活检决策,从而提高资源利用的成本效益:方法:由两名获得医学会认证的腹部放射科医生对2016年5月1日至2022年12月31日期间接受核磁共振-超声融合靶向活检的所有患者的核磁共振扫描结果进行回顾性评估。收集并分析了以下数据:血清前列腺特异性抗原、前列腺健康指数(PHI)、前列腺体积、组织学结果、病灶大小、位置、弥散加权成像(DWI)参数评分和 PI-RADS 总评分:结果:共纳入 214 个 TZ 病灶。在131个PI-RADS 3病变中,扩散明显受限(DWI评分≥4)、直径≥1厘米、前列腺特异性抗原密度(PSAD)≥0.11和PHI≥34的病变更有可能包含有临床意义的前列腺癌(csPCa;P=0.04、0.02、0.049和0.05),接收者操作特征曲线下面积分别为0.9、0.76、0.84和0.80。与中叶或基底病变相比,顶端病变更有可能包含 csPCa(P = 0.01):结论:临床参数(PSAD 和 PHI)和 MRI 特征(病变大小、DWI 评分、病变位置)可用于对 PI-RADS 3 TZ 病变进行风险分层,并指导进行靶向活检的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of decision-making in biopsy of PI-RADS 3 transition zone lesions.

Introduction: Cancer rates for Prostate Imaging-Reporting and Data System (PI-RADS) 3 lesions are low. We aimed to determine the clinical and magnetic resonance imaging (MRI) parameters that can provide risk stratification for PI-RADS 3 transition zone (TZ) lesions to guide decision for biopsy, which can improve the cost-effectiveness of resource utilisation.

Methods: The MRI scans of all patients who underwent MRI-ultrasound fusion targeted biopsy from 1 May 2016 to 31 December 2022 were retrospectively assessed by two board-certified abdominal radiologists. The following data were collected and analysed serum prostate-specific antigen, Prostatic Health Index (PHI), prostate volume, histological results, lesion size, location, diffusion-weighted imaging (DWI) parameter scores and overall PI-RADS score.

Results: Two hundred and fourteen TZ lesions were included. Among 131 PI-RADS 3 lesions, those with marked restricted diffusion (DWI score ≥4), diameter ≥1 cm, prostrate-specific antigen density (PSAD) ≥0.11 and PHI ≥34 were more likely to contain clinically significant prostate cancer (csPCa; P = 0.04, 0.02, 0.049 and 0.05, respectively), with areas under the receiver operating characteristics curve of 0.9, 0.76, 0.84 and 0.80, respectively. Apical lesions were more likely to contain csPCa compared to midgland or basal lesions (P = 0.01).

Conclusion: Clinical parameters (PSAD and PHI) and MRI features (lesion size, DWI score, lesion location) can be used to risk stratify PI-RADS 3 TZ lesions and guide decision for targeted biopsy.

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