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基于磁共振成像分期和靶向活检的中危前列腺癌分类准确性经手术早期肿瘤学结果证实

Confirmation by Early Oncologic Outcomes After Surgery of the Accuracy of Intermediate-risk Prostate Cancer Classification Based on Magnetic Resonance Imaging Staging and Targeted Biopsy.

作者信息

Manceau Cécile, Beauval Jean-Baptiste, Lesourd Marine, Almeras Christophe, Gautier Jean-Romain, Soulié Michel, Loison Guillaume, Salin Ambroise, Tollon Christophe, Malavaud Bernard, Roumiguié Mathieu, Ploussard Guillaume

机构信息

Department of Urology, CHU-IUC, Toulouse, France.

Department of Urology, La Croix du Sud Hospital, Quint Fonsegrives, France.

出版信息

Eur Urol Open Sci. 2020 Aug 19;21:5-8. doi: 10.1016/j.euros.2020.07.003. eCollection 2020 Oct.

DOI:10.1016/j.euros.2020.07.003
PMID:34337461
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8317854/
Abstract

UNLABELLED

Over the past decade, prostate cancer (PCa) diagnosis drastically evolved from systematic biopsies (SBs) to multiparametric magnetic resonance imaging (mpMRI) and targeted biopsy (TB), which have emerged as powerful imaging tools for diagnosis, staging, and preoperative planning. MRI and TB should now be widely adopted for assessing prognosis and be incorporated into predictive models. To date, the standard intermediate risk classification (IRC) defined unfavourable and favourable disease with clinical information and overall biopsy data. Roumiguie et al have proposed a new model based on mpMRI staging and grade group on TB and validated it using radical prostatectomy (RP) pathology (Urol Oncol 2020;38:386-92). The aim of our study was to validate the accuracy of this new IRC with early oncologic outcomes and biochemical recurrence (BCR) after RP. From a prospective database of RP patients with positive prebiopsy mpMRI (Prostate Imaging-Reporting and Data System score ≥3) followed by SB in combination with TB, 454 patients with intermediate-risk PCa were included. Median follow-up was 31.5 mo. The new IRC outperformed the standard IRC in predicting BCR ( =  0.007). The area under the curve was 0.613 for the new MRI- and TB-based IRC versus 0.575 for the standard IRC. This new IRC could optimise the prediction of recurrence risk before treatment decision-making.

PATIENT SUMMARY

Outcomes after surgery confirm the accuracy of the new classification of intermediate-risk prostate cancer based on magnetic resonance imaging (MRI) staging and targeted biopsy data. We found that this new classification outperformed the standard classification in predicting biochemical recurrence of cancer for men with positive MRI findings undergoing targeted biopsies.

摘要

未标注

在过去十年中,前列腺癌(PCa)的诊断方式从系统活检(SBs)大幅演进为多参数磁共振成像(mpMRI)和靶向活检(TB),后两者已成为用于诊断、分期和术前规划的强大成像工具。如今,MRI和TB应被广泛用于评估预后,并纳入预测模型。迄今为止,标准的中危分类(IRC)依据临床信息和整体活检数据来定义不良和良好疾病。鲁米吉等人基于mpMRI分期和TB的分级组提出了一种新模型,并使用根治性前列腺切除术(RP)病理结果对其进行了验证(《泌尿肿瘤学》2020年;38:386 - 92)。我们研究的目的是验证这种新IRC在预测RP术后早期肿瘤学结局和生化复发(BCR)方面的准确性。从一个前瞻性数据库中纳入了454例中危PCa患者,该数据库收录了活检前mpMRI阳性(前列腺影像报告和数据系统评分≥3)且随后接受SB联合TB的RP患者。中位随访时间为31.5个月。在预测BCR方面,新IRC优于标准IRC(P = 0.007)。基于新的MRI和TB的IRC的曲线下面积为0.613,而标准IRC为0.575。这种新IRC可在治疗决策前优化复发风险预测。

患者总结

手术结果证实了基于磁共振成像(MRI)分期和靶向活检数据的中危前列腺癌新分类的准确性。我们发现,对于接受靶向活检且MRI结果阳性的男性,这种新分类在预测癌症生化复发方面优于标准分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63c8/8317854/7f4c491d1948/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63c8/8317854/7f4c491d1948/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/63c8/8317854/7f4c491d1948/gr1.jpg

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2
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J Urol. 2019 Dec;202(6):1182-1187. doi: 10.1097/JU.0000000000000418. Epub 2019 Jun 27.
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