Predictors of clinically significant prostate cancer in biopsy-naïve and prior negative biopsy men with a negative prostate MRI: improving MRI-based screening with a novel risk calculator

IF 2.6 4区 医学 Q2 UROLOGY & NEPHROLOGY
L. V. van Riel, A. Jager, D. Meijer, A. Postema, R. Smit, A. Vis, T. D. de Reijke, H. Beerlage, J. Oddens
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引用次数: 3

Abstract

Purpose: A pre-biopsy decision aid is needed to counsel men with a clinical suspicion for clinically significant prostate cancer (csPCa), despite normal prostate magnetic resonance imaging (MRI). Methods: A risk calculator (RC) for csPCa (International Society of Urological Pathology grade group (ISUP) ⩾ 2) presence in men with a negative-MRI (Prostate Imaging–Reporting and Data System (PI-RADS) ⩽ 2) was developed, and its performance was compared with RCs of the European Randomized Study of Screening for Prostate Cancer (ERSPC), Prostate Biopsy Collaborative Group (PBCG), and Prospective Loyola University mpMRI (PLUM). All biopsy-naïve and prior negative biopsy men with a negative-MRI followed by systematic prostate biopsy were included from October 2015 to September 2021. The RC was developed using multivariable logistic regression with the following parameters: age (years), family history of PCa (first- or second-degree family member), ancestry (African Caribbean/other), digital rectal exam (benign/malignant), MRI field strength (1.5/3.0 Tesla), prior negative biopsy status, and prostate-specific antigen (PSA) density (ng/ml/cc). Performance of RCs was compared using receiver operating characteristic (ROC) curve analysis. Results: A total of 232 men were included for analysis, of which 18.1% had csPCa. Parameters associated with csPCa were family history of PCa (p < 0.0001), African Caribbean ancestry (p = 0.005), PSA density (p = 0.002), prior negative biopsy (p = 0.06), and age at biopsy (p = 0.157). The area under the curve (AUC) of the developed RC was 0.76 (95% CI 0.68–0.85). This was significantly better than the RCs of the ERSPC (AUC: 0.59; p = 0.001) and PBCG (AUC: 0.60; p = 0.002), yet similar to PLUM (AUC: 0.69; p = 0.09). Conclusion: The developed RC (Prostate Biopsy Cohort Amsterdam (‘PROBA’ RC), integrated predictors for csPCa at prostate biopsy in negative-MRI men and outperformed other widely used RCs. These findings require external validation before introduction in daily practice.
在前列腺MRI阴性的生物治疗和既往阴性活检男性中,临床显著前列腺癌症的预测因素:使用新型风险计算器改进基于MRI的筛查
目的:尽管前列腺磁共振成像(MRI)正常,但需要活检前的决策帮助来咨询临床上怀疑患有临床显著前列腺癌症(csPCa)的男性。方法:csPCa(国际泌尿病理学学会分级组(ISUP))的风险计算器(RC) ⩾ 2) MRI阴性男性的存在(前列腺成像-报告和数据系统(PI-RADS) ⩽ 2) 开发了,并将其性能与欧洲癌症筛查随机研究(ERSPC)、前列腺活检协作组(PBCG)和前瞻性洛约拉大学mpMRI(PLUM)的RC进行了比较。2015年10月至2021年9月,包括所有活检幼稚和之前MRI阴性、随后进行系统前列腺活检的阴性活检男性。RC是使用多变量逻辑回归开发的,参数如下:年龄(年)、前列腺癌家族史(一级或二级家族成员)、祖先(非洲加勒比/其他)、直肠指检(良性/恶性)、MRI场强(1.5/3.0特斯拉)、既往阴性活组织检查状态和前列腺特异性抗原(PSA)密度(ng/ml/cc)。使用受试者工作特性(ROC)曲线分析比较RC的性能。结果:共有232名男性被纳入分析,其中18.1%患有csPCa。与csPCa相关的参数为PCa家族史(p < 0.0001),非洲加勒比血统(p = 0.005),PSA密度(p = 0.002),既往活检阴性(p = 0.06)和活检时的年龄(p = 0.157)。开发的RC的曲线下面积(AUC)为0.76(95%CI 0.68–0.85)。这明显优于ERSPC的RC(AUC:0.59;p = 0.001)和PBCG(AUC:0.60;p = 0.002),但与PLUM相似(AUC:0.69;p = 0.09)。结论:所开发的RC(阿姆斯特丹前列腺活检队列(“PROBA”RC)是阴性MRI男性前列腺活检中csPCa的综合预测指标,并且优于其他广泛使用的RC。这些发现需要在日常实践中引入之前进行外部验证。
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来源期刊
CiteScore
3.70
自引率
0.00%
发文量
39
审稿时长
10 weeks
期刊介绍: Therapeutic Advances in Urology delivers the highest quality peer-reviewed articles, reviews, and scholarly comment on pioneering efforts and innovative studies across all areas of urology. The journal has a strong clinical and pharmacological focus and is aimed at clinicians and researchers in urology, providing a forum in print and online for publishing the highest quality articles in this area. The editors welcome articles of current interest across all areas of urology, including treatment of urological disorders, with a focus on emerging pharmacological therapies.
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