Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, PR China.
Medical Imaging Division, Heilongjiang Provincial Hospital, Harbin Institute of Technology, Harbin, PR China.
Acta Radiol. 2024 Jan;65(1):133-144. doi: 10.1177/02841851231165671. Epub 2023 Apr 26.
The lymphovascular space invasion (LVSI) status of endometrial cancer (EC) has guiding significance in lymph node dissection. However, LVSI can only be obtained after surgery. Researchers have tried to extract the information of LVSI using magnetic resonance imaging (MRI).
To evaluate the ability of preoperative MRI to predict the LVSI status of EC.
A search was conducted by using the PubMed/MEDLINE, EMBASE, Web of Science, and the Cochrane Library databases. Articles were included according to the criteria. Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2. A bivariate random effects model was used to obtain pooled summary estimates, heterogeneity, and the area under the summary receiver operating characteristic curve (AUC). A subgroup analysis was performed to identify sources of heterogeneity.
A total of nine articles (814 patients) were included. The risk of bias was low or unclear for most studies, and the applicability concerns were low or unclear for all studies. The summary AUC values as well as pooled sensitivity and specificity of LVSI status in EC were 0.82, 73%, and 77%, respectively. According to the subgroup analysis, radiomics/non-radiomics features, country/region, sample size, age, MR manufacturer, magnetic field, scores of risk bias, and scores of applicability concern may have caused heterogeneity.
Our meta-analysis showed that MRI has moderate diagnostic efficacy for LVSI status in EC. Large-sample, uniformly designed studies are needed to verify the true value of MRI in assessing LVSI.
子宫内膜癌(EC)的脉管侵犯状态(LVSI)对淋巴结清扫具有指导意义。然而,LVSI 只能在手术后获得。研究人员试图使用磁共振成像(MRI)提取 LVSI 的信息。
评估术前 MRI 预测 EC 的 LVSI 状态的能力。
通过使用 PubMed/MEDLINE、EMBASE、Web of Science 和 Cochrane 图书馆数据库进行检索。根据标准纳入文章。使用诊断准确性研究的质量评估 2 对方法学质量进行评估。使用双变量随机效应模型获得汇总估计值、异质性和汇总受试者工作特征曲线下面积(AUC)。进行了亚组分析以确定异质性的来源。
共纳入 9 篇文章(814 例患者)。大多数研究的偏倚风险较低或不明确,所有研究的适用性问题均较低或不明确。EC 中 LVSI 状态的汇总 AUC 值以及汇总敏感性和特异性分别为 0.82、73%和 77%。根据亚组分析,影像组学/非影像组学特征、国家/地区、样本量、年龄、MR 制造商、磁场、风险偏倚评分和适用性问题评分可能导致了异质性。
我们的荟萃分析表明,MRI 对 EC 的 LVSI 状态具有中等诊断效能。需要进行大样本、统一设计的研究来验证 MRI 在评估 LVSI 中的真实价值。