病变大小对 PI-RADS 3-5 类病变中具有临床意义的前列腺癌检出率的影响。

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引用次数: 0

摘要

导言:前列腺癌(PCa)在男性癌症发病率中排名第二,因此需要有效的筛查工具,如采用前列腺成像报告和数据系统(PI-RADS)分类的多参数磁共振成像(mpMRI)。本研究探讨了病变体积对 PI-RADS 3-5 病变中具有临床意义的前列腺癌(csPCa)检出率的影响,旨在深入探讨病变大小与 csPCa 检出率之间尚未被充分探索的关系:对2016年1月至2023年期间接受mpMRI引导下经直肠超声(TRUS)前列腺活检的754名患者的数据进行了回顾性分析。纳入了PI-RADS 3、4和5病变患者。通过 mpMRI 评估病灶大小和 PI-RADS 类别,然后进行 MR 融合活检:结果:患者中分别有 33.7%、52.3% 和 14.1%患有 PI-RADS 3、4 和 5 级病变。在 PI-RADS 4 和 5 类病变中,病变大小与 csPCa 检出率明显相关。对于 PI-RADS 3 病变,病变大小与 csPCa 检出率无明显差异。然而,在 PI-RADS 4 和 5 组中,较大的病变显示出更高的 csPCa 率:本研究表明,基于病变体积的亚组分类可以高度准确地预测具有临床意义的 PCa,从而减少不必要的活组织检查和相关的过度治疗。未来的研究应进一步探讨病变大小与 csPCa 之间的关系,并就诊断方案中是否纳入系统活检进行讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effects of the lesion size on clinically significant prostate cancer detection rates in PI-RADS category 3-5 lesions

Introduction

Prostate cancer (PCa) ranks second among prevalent cancers in men, necessitating effective screening tools such as multiparametric magnetic resonance imaging (mpMRI) with the prostate imaging reporting and data system (PI-RADS) classification. This study explores the impact of lesion volume on clinically significant prostate cancer (csPCa) detection rates in PI-RADS 3–5 lesions, aiming to contribute insights into the underexplored relationship between lesion size and csPCa detection.

Materials and methods

A retrospective analysis was conducted on data from 754 patients undergoing mpMRI-guided transrectal ultrasound (TRUS) prostate biopsy between January 2016 and 2023. Patients with PI-RADS 3, 4, and 5 lesions were included. Lesion size and PI-RADS categories were assessed through mpMRI, followed by MR fusion biopsy.

Results

Of the patients, 33.7%, 52.3%, and 14.1% had PI-RADS 3, 4, and 5 lesions, respectively. Lesion sizes correlated significantly with csPCa detection in PI-RADS 4 and 5 categories. For PI-RADS 3 lesions, no significant differences in csPCa rates were observed based on lesion size. However, in PI-RADS 4 and 5 groups, larger lesions showed higher csPCa rates.

Conclusion

This study suggests that subgroup categorizations based on lesion volume could predict clinically significant PCa with high accuracy, potentially reducing unnecessary biopsies and associated overtreatment. Future research should further explore the relationship between lesion size and csPCa, clarifying discussions regarding the inclusion of systematic biopsies in diagnostic protocols.

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