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MRI 鉴别卵巢肿瘤良恶性的系统评价与 Meta 分析

Performance of MRI protocols for diagnosis of benign and malignant ovarian tumors: a systematic review and meta-analysis.
PubMed 文献 · Abdom Radiol (NY) · 2026-05-12

该系统评价与 Meta 分析共纳入 81 篇文献、12,594 例患者和 14,023 个病灶,评估 MRI 鉴别卵巢肿瘤良恶性的诊断效能。汇总敏感度 0.92、特异度 0.88、SROC 曲线下面积 0.96;DWI 亚组敏感度 0.88、特异度 0.79、AUC 0.90。MR 评分系统与增强 MRI 均显示较高诊断效能,DCE 与否对敏感度影响小。

要点

  • MRI 鉴别卵巢肿瘤良恶性汇总敏感度 0.92、特异度 0.88,诊断效能高。
  • DWI 单独应用敏感度 0.88、特异度 0.79,可作为常规 MRI 的辅助工具。
  • 采用 MR 评分系统的研究诊断效能更优,敏感度 0.94、特异度 0.90。

核心结论

  • MRI 在鉴别卵巢肿瘤良恶性中起重要作用,DWI 可作为辅助诊断工具与常规 MRI 联合使用,DCE 与非 DCE 诊断效能相似。

研究设计与样本

  • 系统评价与 Meta 分析,检索 PubMed 和 Web of Science 至 2025 年 4 月 29 日,最终纳入 81 篇文献、12,594 例患者、14,023 个病灶,两名评价者独立筛选文献、提取数据并评估方法学质量,使用 Stata 15.1 软件进行 Meta 分析。

诊断标准与关键数值

  • MRI 鉴别卵巢肿瘤良恶性汇总敏感度 0.92(95%CI 0.91-0.94)、特异度 0.88(95%CI 0.86-0.90)、阳性似然比 7.9(95%CI 6.6-9.5)、阴性似然比 0.09(95%CI 0.07-0.11)、诊断比值比 93(95%CI 69-125)、SROC 曲线下面积 0.96(95%CI 0.94-0.97)。
  • DWI 鉴别卵巢肿瘤良恶性汇总敏感度 0.88(95%CI 0.83-0.92)、特异度 0.79(95%CI 0.72-0.84)、诊断比值比 28(95%CI 17-47)、AUC 0.90(95%CI 0.87-0.92)。
  • 采用 MR 评分系统的研究汇总敏感度 0.94(95%CI 0.92-0.96)、特异度 0.90(95%CI 0.87-0.93)。
  • 增强 MRI 研究汇总敏感度 0.93(95%CI 0.91-0.95)、特异度 0.89(95%CI 0.86-0.91)。

临床应用与阅片要点

  • 日常阅片可结合常规 MRI 与 DWI 鉴别卵巢肿瘤良恶性,DWI 作为辅助序列提高诊断信心。
  • 采用 MR 评分系统结构化报告可能提升诊断效能,DCE 与否对敏感度影响不大但可能略微提高特异度。

局限性

  • 研究设计为系统评价与 Meta 分析,纳入文献以诊断试验为主,原始研究设计本身的局限(如单中心、回顾性)未在摘要中详细说明。

以上解读依据论文摘要(全文未开放获取或许可不允许翻译转载)。

英文原文(摘要)· 点击展开

OBJECTIVE: With the continuous increase in the incidence of ovarian tumors in gynecology, the differential diagnosis of benign and malignant ovarian tumors is of great significance for subsequent treatment. The primary aim of this meta-analysis was to systematically evaluate the diagnostic value of MRI in differentiating benign from malignant ovarian tumors.

METHODS: A search was conducted in the PubMed and Web of Science databases to identify diagnostic tests for ovarian tumors using MRI, The search deadline is April 29, 2025. Two reviewers independently screened the literature, extracted data, and assessed the methodological quality of the included studies according to inclusion and exclusion criteria. Subsequently, a meta-analysis was performed using Stata 15.1 software.

RESULTS: Ultimately, 81 articles were included, encompassing 12,594 patients and 14,023 lesions. Based on the lesion analysis, the pooled sensitivity, pooled specificity, pooled positive likelihood ratio, pooled negative likelihood ratio, and diagnostic odds ratio for differentiating benign and malignant ovarian tumors by MRI were 0.92 (95% CI: 0.91-0.94), 0.88 (95% CI: 0.86-0.90), 7.9 (95% CI: 6.6-9.5), 0.09 (95% CI: 0.07-0.11), and 93 (95% CI: 69-125), respectively. The pooled area under the SROC curve was 0.96 (95% CI: 0.94-0.97). Of the 81 included studies, 13 reported diagnostic performance for DWI alone; these were analyzed as a distinct subgroup within the overall meta-analysis. Based on the lesion analysis, the pooled sensitivity, pooled specificity, diagnostic odds ratio, and area under the curve for differentiating benign and malignant ovarian tumors by DWI were 0.88 (95% CI: 0.83-0.92), 0.79 (95% CI: 0.72-0.84), 28 (95% CI: 17-47), and 0.90 (95% CI: 0.87-0.92), respectively. For using MR scoring system (36 studies), pooled sensitivity was 0.94 (95% CI: 0.92-0.96) and specificity 0.90 (95% CI: 0.87-0.93). For contrast-enhanced MRI (69 studies), pooled sensitivity was 0.93 (95% CI: 0.91-0.95) and specificity 0.89 (95% CI: 0.86-0.91). However, whether dynamic contrast-enhanced (DCE) was performed during MRI diagnosis of benign and malignant ovarian tumors had little effect on the pooled sensitivity, while the pooled specificity of studies that performed DCE might be slightly higher than those that did not.

CONCLUSIONS: MRI plays a crucial role in differentiating between benign and malignant ovarian tumors, and DWI can serve as an auxiliary diagnostic tool, used concurrently with conventional MRI, while the diagnostic efficacy of DCE and non-DCE is similar. Prospective studies using MRI scoring systems and sample sizes exceeding 100 also show better diagnostic performance.

来源:Abdom Radiol (NY),查看原文。版权归原作者所有。

引用

  1. Yang P, Fan F, Yang T, et al. Performance of MRI protocols for diagnosis of benign and malignant ovarian tumors: a systematic review and meta-analysis. Abdom Radiol (NY). 2026. PMID: 42118277. doi:10.1007/s00261-026-05501-5

供执业医师工作参考,不替代临床判断;数值与分级以指南原文为准。