Purpose

We to systematically evaluate the diagnostic performance of MRI radiomics in detecting extracapsular extension (EPE) of prostate cancer (PCa).

Methods

A literature search of online databases of PubMed, EMBASE, Cochrane Library, Web of Science, and Google Scholar online scientific publication databases was performed to identify studies published up to July 2023. The summary estimates were pooled with the hierarchical summary receiver-operating characteristic (HSROC) model. This study was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement, the quality of included studies was assessed with the Quality Assessment of Diagnostic Accuracy Studies–2 tool (QUADAS-2) and the radiomics quality score (RQS). Meta-regression and subgroup analyses were performed to explore the impact of varying clinical settings.

Results

A total of ten studies met the inclusion criteria. The pooled sensitivity and specificity were 0.77 (95% CI 0.68–0.84, I² = 83.5%) and 0.75 (95% CI 0.67–0.82, I² = 83.5%), respectively, with an area under the HSROC curve of 0.88 (95% CI 0.85–0.91). Study quality was not high while assessing with the RQS. Substantial heterogeneity was observed between studies; however, meta-regression analysis did not reveal any significant contributing factors.

Conclusions

MRI radiomics demonstrated moderate sensitivity and specificity, offering similar diagnostic performance with previous risk stratifications and models that primarily based on radiologists’ subjective experience. However, all studies included were retrospective, thus the performance of radiomics needs to validate in prospective, multicenter studies.

中文翻译：

---

基于 MRI 的放射组学预测前列腺癌前列腺外扩散：系统评价和荟萃分析

目的

我们系统地评估 MRI 放射组学在检测前列腺癌 (PCa) 囊外扩展 (EPE) 方面的诊断性能。

方法

对 PubMed、EMBASE、Cochrane 图书馆、Web of Science 和 Google Scholar 在线科学出版物数据库的在线数据库进行文献检索，以确定截至 2023 年 7 月发表的研究。汇总估计值与分层汇总接收者操作特征（ HSROC）模型。本研究根据系统评价和荟萃分析的首选报告项目 (PRISMA) 声明进行报告，纳入研究的质量通过诊断准确性研究质量评估 – 2 工具 (QUADAS-2) 和放射组学质量评分进行评估（RQS）。进行荟萃回归和亚组分析以探讨不同临床环境的影响。

结果

共有十项研究符合纳入标准。汇总的敏感性和特异性分别为 0.77 (95% CI 0.68–0.84, I ²  = 83.5%) 和 0.75 (95% CI 0.67–0.82, I ²  = 83.5%)，HSROC 曲线下面积为 0.88 ( 95% CI 0.85–0.91）。使用 RQS 进行评估时，研究质量不高。研究之间观察到显着的异质性；然而，元回归分析并未揭示任何显着的影响因素。

结论

MRI 放射组学表现出中等的敏感性和特异性，提供与之前主要基于放射科医生主观经验的风险分层和模型相似的诊断性能。然而，所有纳入的研究都是回顾性的，因此放射组学的表现需要在前瞻性、多中心研究中进行验证。