GI-RADS versus O-RADS in the differential diagnosis of adnexal masses: a systematic review and head-to-head meta-analysis.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-11-01 Epub Date: 2024-09-02 DOI:10.14366/usg.24105
Marina Perez, Ainhoa Meseguer, Julio Vara, Jose Carlos Vilches, Ignacio Brunel, Manuel Lozano, Rodrigo Orozco, Juan Luis Alcazar
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Abstract

Purpose: The aim of this study was to compare the diagnostic performance of the Gynecology Imaging Reporting and Data System (GI-RADS) and Ovarian-Adnexal Reporting and Data System (O-RADS) ultrasound (US) classification systems and assess their capacity to stratify the risk of malignancy in adnexal masses (AMs).

Methods: A comprehensive search of MEDLINE (PubMed), Scopus, Web of Science, and Google Scholar was conducted to identify articles published between January 2020 and August 2023. The quality of the studies, the risk of bias, and concerns regarding applicability were assessed using QUADAS-2.

Results: The search yielded 132 citations. Five articles, which included a total of 2,448 AMs, were ultimately selected for inclusion. The risk of bias was high in all articles regarding patient selection, low in four studies for the index test, and unclear in three papers for the reference test. For GI-RADS, the pooled sensitivity and specificity were 90.8% (95% confidence interval [CI], 86.0% to 94.0%) and 91.5% (95% CI, 89.0% to 93.0%), respectively. For O-RADS, the pooled sensitivity and specificity were 95.1% (95% CI, 93.0% to 97.0%) and 88.8% (95% CI, 85.0% to 92.0%), respectively. O-RADS demonstrated greater sensitivity for malignancy than GI-RADS (P<0.05). Heterogeneity was moderate for both sensitivity and specificity with respect to GIRADS; for O-RADS, heterogeneity was moderate for sensitivity and high for specificity.

Conclusion: Both GI-RADS and O-RADS US demonstrate good diagnostic performance in the preoperative assessment of AMs. However, the O-RADS classification provides superior sensitivity.

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附件肿块鉴别诊断中的 GI-RADS 与 O-RADS:系统回顾和头对头荟萃分析。
目的:本研究旨在比较妇科成像报告和数据系统(GI-RADS)与卵巢-附件报告和数据系统(O-RADS)超声(US)分类系统的诊断性能,并评估它们对附件肿块(AMs)恶性肿瘤风险进行分层的能力:方法:对MEDLINE (PubMed)、Scopus、Web of Science和Google Scholar进行全面检索,找出2020年1月至2023年8月期间发表的文章。使用 QUADAS-2 评估了研究的质量、偏倚风险和适用性问题:结果:搜索共获得 132 篇引用文献。最终有 5 篇文章被选中纳入研究,共包含 2,448 个 AMs。所有文章在患者选择方面的偏倚风险都很高,四项研究在索引检验方面的偏倚风险较低,三篇论文在参考检验方面的偏倚风险不明确。对于 GI-RADS,汇总的敏感性和特异性分别为 90.8%(95% 置信区间 [CI],86.0% 至 94.0%)和 91.5%(95% 置信区间 [CI],89.0% 至 93.0%)。对于 O-RADS,汇总的敏感性和特异性分别为 95.1%(95% CI,93.0% 至 97.0%)和 88.8%(95% CI,85.0% 至 92.0%)。O-RADS 对恶性肿瘤的敏感性高于 GI-RADS(P<0.05)。GIRADS的灵敏度和特异性均存在中度异质性;O-RADS的灵敏度存在中度异质性,特异性存在高度异质性:结论:GI-RADS 和 O-RADS US 在 AM 术前评估中均表现出良好的诊断性能。结论:GI-RADS 和 O-RADS US 在术前 AMs 评估中均表现出良好的诊断性能,但 O-RADS 分类的灵敏度更高。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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