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Application of magnetic resonance imaging radiomics in endometrial cancer: a systematic review and meta-analysis
La radiologia medica ( IF 8.9 ) Pub Date : 2024-02-13 , DOI: 10.1007/s11547-024-01765-3
Meng-Lin Huang , Jing Ren , Zheng-Yu Jin , Xin-Yu Liu , Yuan Li , Yong-Lan He , Hua-Dan Xue

Purpose

We aimed to systematically assess the methodological quality and clinical potential application of published magnetic resonance imaging (MRI)-based radiomics studies about endometrial cancer (EC).

Methods

Studies of EC radiomics analyses published between 1 January 2000 and 19 March 2023 were extracted, and their methodological quality was evaluated using the radiomics quality score (RQS) and Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2). Pairwise correlation analyses and separate meta-analyses of studies exploring differential diagnoses and risk prediction were also performed.

Results

Forty-five studies involving 3 aims were included. The mean RQS was 13.77 (range: 9–22.5); publication bias was observed in the areas of ‘index test’ and ‘flow and timing’. A high RQS was significantly associated with therapy selection-aimed studies, low QUADAS-2 risk, recent publication year, and high-performance metrics. Raw data from 6 differential diagnosis and 34 risk prediction models were subjected to meta-analysis, revealing diagnostic odds ratios of 23.81 (95% confidence interval [CI] 8.48–66.83) and 18.23 (95% CI 13.68–24.29), respectively.

Conclusion

The methodological quality of radiomics studies involving patients with EC is unsatisfactory. However, MRI-based radiomics analyses showed promising utility in terms of differential diagnosis and risk prediction.



中文翻译:

磁共振成像放射组学在子宫内膜癌中的应用:系统评价和荟萃分析

目的

我们的目的是系统评估已发表的基于磁共振成像 (MRI) 的子宫内膜癌 (EC) 放射组学研究的方法学质量和临床潜在应用。

方法

提取了2000年1月1日至2023年3月19日期间发表的EC放射组学分析研究,并使用放射组学质量评分(RQS)和诊断准确性研究质量评估2(QUADAS-2)评估其方法学质量。还对探索鉴别诊断和风险预测的研究进行了成对相关分析和单独荟萃分析。

结果

纳入了涉及 3 个目标的 45 项研究。平均 RQS 为 13.77(范围:9-22.5);在“索引测试”和“流程和时间安排”方面观察到发表偏差。高 RQS 与以治疗选择为目标的研究、低 QUADAS-2 风险、最近的出版年份和高性能指标显着相关。对 6 个鉴别诊断模型和 34 个风险预测模型的原始数据进行荟萃分析,显示诊断比值比分别为 23.81(95% 置信区间 [CI] 8.48-66.83)和 18.23(95% CI 13.68-24.29)。

结论

涉及 EC 患者的放射组学研究的方法学质量并不令人满意。然而,基于 MRI 的放射组学分析在鉴别诊断和风险预测方面显示出有希望的实用性。

更新日期:2024-02-13
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