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PI-RADS 版本 2.1 前列腺 MRI 诊断性能基准的更新:系统评价和荟萃分析。

Update on PI-RADS Version 2.1 Diagnostic Performance Benchmarks for Prostate MRI: Systematic Review and Meta-Analysis.

机构信息

From the Department of Radiology (B.O., A.N., H.E., F.B., M.B.), Institute for Evidence in Medicine (C.S., T.B.), Institute of Medical Biometry and Statistics (G.S.), Department of Urology (A.S., C.G.), and Berta-Ottenstein-Programme (A.S), Faculty of Medicine, University of Freiburg Medical Center, Freiburg, Germany; Department of Radiology & Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands (I.G.S); and Department of Diagnostic and Interventional Radiology, Medical Faculty OWL, University of Bielefeld, Klinikum Lippe, Röntgenstrasse 18, 32756 Detmold, Germany (M.E., M.B.).

出版信息

Radiology. 2024 Aug;312(2):e233337. doi: 10.1148/radiol.233337.

Abstract

Background Prostate MRI for the detection of clinically significant prostate cancer (csPCa) is standardized by the Prostate Imaging Reporting and Data System (PI-RADS), currently in version 2.1. A systematic review and meta-analysis infrastructure with a 12-month update cycle was established to evaluate the diagnostic performance of PI-RADS over time. Purpose To provide estimates of diagnostic accuracy and cancer detection rates (CDRs) of PI-RADS version 2.1 categories for prostate MRI, which is required for further evidence-based patient management. Materials and Methods A systematic search of PubMed, Embase, Cochrane Library, and multiple trial registers (English-language studies published from March 1, 2019, to August 30, 2022) was performed. Studies that reported data on diagnostic accuracy or CDRs of PI-RADS version 2.1 with csPCa as the primary outcome were included. For the meta-analysis, pooled estimates for sensitivity, specificity, and CDRs were derived from extracted data at the lesion level and patient level. Sensitivity and specificity for PI-RADS greater than or equal to 3 and PI-RADS greater than or equal to 4 considered as test positive were investigated. In addition to individual PI-RADS categories 1-5, subgroup analyses of subcategories (ie, 2+1, 3+0) were performed. Results A total of 70 studies (11 686 lesions, 13 330 patients) were included. At the patient level, with PI-RADS greater than or equal to 3 considered positive, meta-analysis found a 96% summary sensitivity (95% CI: 95, 98) and 43% specificity (95% CI: 33, 54), with an area under the summary receiver operating characteristic (SROC) curve of 0.86 (95% CI: 0.75, 0.93). For PI-RADS greater than or equal to 4, meta-analysis found an 89% sensitivity (95% CI: 85, 92) and 66% specificity (95% CI: 58, 74), with an area under the SROC curve of 0.89 (95% CI: 0.85, 0.92). CDRs were as follows: PI-RADS 1, 6%; PI-RADS 2, 5%; PI-RADS 3, 19%; PI-RADS 4, 54%; and PI-RADS 5, 84%. The CDR was 12% (95% CI: 7, 19) for transition zone 2+1 lesions and 19% (95% CI: 12, 29) for 3+0 lesions ( = .12). Conclusion Estimates of diagnostic accuracy and CDRs for PI-RADS version 2.1 categories are provided for quality benchmarking and to guide further evidence-based patient management. © RSNA, 2024 See also the editorial by Tammisetti and Jacobs in this issue.

摘要

背景 前列腺 MRI 检测临床显著前列腺癌 (csPCa) 已通过前列腺成像报告和数据系统 (PI-RADS) 标准化,目前版本为 2.1。建立了一个具有 12 个月更新周期的系统评价和荟萃分析基础设施,以评估 PI-RADS 随时间推移的诊断性能。目的 提供 PI-RADS 版本 2.1 分类用于前列腺 MRI 的诊断准确性和癌症检出率 (CDR) 的估计值,这是进一步进行基于证据的患者管理所必需的。材料与方法 对 PubMed、Embase、Cochrane 图书馆和多个试验登记处(2019 年 3 月 1 日至 2022 年 8 月 30 日发表的英文研究)进行了系统检索。纳入了报告 PI-RADS 版本 2.1 数据的诊断准确性或 CDR 研究,csPCa 为主要结局。对于荟萃分析,在病变水平和患者水平上从提取的数据中得出了敏感性、特异性和 CDR 的汇总估计值。研究了 PI-RADS 大于或等于 3 和 PI-RADS 大于或等于 4 作为阳性试验的敏感性和特异性。除了 PI-RADS 类别 1-5 之外,还进行了亚组分析(即 2+1、3+0)。结果 共纳入 70 项研究(11686 个病变,13330 名患者)。在患者水平上,当 PI-RADS 大于或等于 3 被认为是阳性时,荟萃分析发现汇总敏感性为 96%(95%CI:95,98),特异性为 43%(95%CI:33,54),汇总受试者工作特征(SROC)曲线下面积为 0.86(95%CI:0.75,0.93)。对于 PI-RADS 大于或等于 4,荟萃分析发现敏感性为 89%(95%CI:85,92),特异性为 66%(95%CI:58,74),汇总 SROC 曲线下面积为 0.89(95%CI:0.85,0.92)。CDR 如下:PI-RADS 1,6%;PI-RADS 2,5%;PI-RADS 3,19%;PI-RADS 4,54%;PI-RADS 5,84%。过渡区 2+1 病变的 CDR 为 12%(95%CI:7,19),3+0 病变的 CDR 为 19%(95%CI:12,29)( =.12)。结论 为了进行质量基准测试和指导进一步基于证据的患者管理,提供了 PI-RADS 版本 2.1 类别诊断准确性和 CDR 的估计值。© RSNA,2024 请参阅本期 Tammisetti 和 Jacobs 的社论。

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