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一种新型风险计算器,纳入临床参数、多参数磁共振成像和前列腺特异性膜抗原正电子发射断层扫描,用于经会阴前列腺活检前的前列腺癌风险分层。

A Novel Risk Calculator Incorporating Clinical Parameters, Multiparametric Magnetic Resonance Imaging, and Prostate-Specific Membrane Antigen Positron Emission Tomography for Prostate Cancer Risk Stratification Before Transperineal Prostate Biopsy.

作者信息

Kelly Brian D, Ptasznik Gideon, Roberts Matthew J, Doan Paul, Stricker Phillip, Thompson James, Buteau James, Chen Kenneth, Alghazo Omar, O'Brien Jonathan S, Hofman Michael S, Frydenberg Mark, Lawrentschuk Nathan, Lundon Dara, Murphy Declan G, Emmett Louise, Moon Daniel

机构信息

Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Australia.

Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia.

出版信息

Eur Urol Open Sci. 2023 Jun 2;53:90-97. doi: 10.1016/j.euros.2023.05.002. eCollection 2023 Jul.

Abstract

BACKGROUND

Prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) can detect multiparametric magnetic resonance imaging (mpMRI)-invisible prostate tumours and improve the sensitivity of detection of prostate cancer (PCa) in comparison to mpMRI alone. Numerous risk calculators have been validated as tools for stratification of men at risk of being diagnosed with clinically significant (cs)PCa.

OBJECTIVE

To develop a novel risk calculator using clinical parameters and imaging parameters from mpMRI and PSMA PET/CT in a cohort of patients undergoing mpMRI and PSMA PET/CT before biopsy.

DESIGN SETTING AND PARTICIPANTS

A total of 291 men from the PRIMARY prospective trial underwent mpMRI and PSMA PET/CT before transperineal prostate biopsy with sampling of systematic and targeted cores.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

Novel risk calculators were developed using multivariable logistic regression analysis to predict detection of overall PCa (International Society of Urological Pathology grade group [GG] ≥1) and csPCa (GG ≥2). The risk calculators were then compared with the European Randomised Study of Screening for Prostate Cancer risk calculator incorporating mpMRI (ERSPC-MRI). Resampling methods were used to evaluate the discrimination and calibration of the risk calculators and to perform decision curve analysis.

RESULTS AND LIMITATIONS

Age, prostate-specific antigen, prostate volume, and mpMRI Prostate Imaging-Reporting and Data System scores were included in the MRI risk calculator, resulting in area under the receiver operating characteristic curve (AUC) values of 0.791 for overall PCa (GG ≥1) and 0.812 for csPCa (GG ≥2). Addition of the maximum standardised uptake value (SUVmax) on PSMA PET/CT for the prostate lesion, and of SUVmax for the mpMRI lesions for the MRI-PSMA risk calculator resulted in AUCs of 0.831 for overall PCa and 0.876 for csPCa (≥ISUP2).The ERSPC-MRI risk calculator had AUCs of 0.758 ( = 0.02) for overall PCa and 0.805 ( = 0.001) for csPCa. Both the MRI and MRI-PSMA risk calculators were superior to the ERSPC-MRI for both overall PCa and csPCa.

CONCLUSIONS

These novel risk calculators incorporate clinical and radiological parameters for stratification of men at risk of csPCa. The risk calculator including PSMA PET/CT data is superior to a calculator incorporating mpMRI data alone.

PATIENT SUMMARY

We evaluated a new risk calculator that uses clinical information and results from two types of scan to predict the risk of clinically significant prostate cancer on prostate biopsy. This risk model can guide patients and clinicians in shared decision-making and may help in avoiding unnecessary prostate biopsies.

摘要

背景

前列腺特异性膜抗原(PSMA)正电子发射断层扫描/计算机断层扫描(PET/CT)能够检测出多参数磁共振成像(mpMRI)无法检测到的前列腺肿瘤,与单纯的mpMRI相比,可提高前列腺癌(PCa)的检测灵敏度。众多风险计算器已被验证为对有被诊断为临床显著性(cs)PCa风险的男性进行分层的工具。

目的

利用mpMRI和PSMA PET/CT的临床参数及影像参数,为一组在活检前接受mpMRI和PSMA PET/CT检查的患者开发一种新型风险计算器。

设计、地点和参与者:共有291名来自PRIMARY前瞻性试验的男性在经会阴前列腺活检并采集系统及靶向组织芯之前接受了mpMRI和PSMA PET/CT检查。

结果测量和统计分析

采用多变量逻辑回归分析开发新型风险计算器,以预测总体PCa(国际泌尿病理学会分级组[GG]≥1)和csPCa(GG≥2)的检测情况。然后将该风险计算器与纳入mpMRI的欧洲前列腺癌筛查随机研究风险计算器(ERSPC-MRI)进行比较。采用重采样方法评估风险计算器的辨别力和校准情况,并进行决策曲线分析。

结果和局限性

MRI风险计算器纳入了年龄、前列腺特异性抗原、前列腺体积和mpMRI前列腺影像报告和数据系统评分,总体PCa(GG≥1)的受试者操作特征曲线(AUC)下面积值为0.791,csPCa(GG≥2)为0.812。对于MRI-PSMA风险计算器,在前列腺病变的PSMA PET/CT上加入最大标准化摄取值(SUVmax),以及在mpMRI病变上加入SUVmax后,总体PCa的AUC为0.831,csPCa(≥ISUP2)为0.876。ERSPC-MRI风险计算器总体PCa的AUC为0.758(P = 0.02),csPCa为0.805(P = 0.001)。MRI和MRI-PSMA风险计算器在总体PCa和csPCa方面均优于ERSPC-MRI。

结论

这些新型风险计算器纳入了临床和放射学参数,用于对有csPCa风险的男性进行分层。包含PSMA PET/CT数据 的风险计算器优于仅纳入mpMRI数据的计算器。

患者总结

我们评估了一种新的风险计算器,该计算器使用临床信息和两种扫描结果来预测前列腺活检时临床显著性前列腺癌风险。这种风险模型可以指导患者和临床医生进行共同决策,并可能有助于避免不必要的前列腺活检。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fedd/10334234/18c69d36ce89/gr1.jpg

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