O-RADS US v2022、O-RADS US v2020 和 IOTA SR 超声波分类在区分良性和恶性附件肿块方面的诊断准确性:将 O-RADS US v2022 与肿瘤标记物 HE4 结合使用可提高诊断准确性。

IF 3.2 3区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Yubo Liu , Lan Cao , Shengfu Chen , Jianhua Zhou
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引用次数: 0

摘要

目的:评估O-RADS超声(O-RADS US)v2022、O-RADS US v2020和IOTA SR的诊断准确性,并评估将成像结果与肿瘤标志物相结合是否能增强附件肿块的诊断:这项回顾性研究在 2018 年 1 月至 2023 年 12 月期间进行,纳入了计划进行手术的患有附件肿块的连续女性。组织病理学结果作为参考标准。通过单变量和多变量逻辑回归分析确定了恶性肿瘤的风险因素。采用ROC分析评估诊断测试的性能,而Kappa统计则评估审查者之间的一致性:共纳入了 613 名患有盆腔肿块的女性(平均年龄为 49.39 ± 12.81 岁;年龄范围为 16-87 岁)。O-RADS US v2022 与 O-RADS US v2020 的性能相当,曲线下面积 (AUC) 值分别为 0.940 和 0.937(p = 0.02,超过调整后显著性水平 0.0167)。两个 O-RADS 模型的 AUC 值均为 0.862(p 结论),均优于 IOTA SR:与 O-RADS US v2020 相比,O-RADS US v2022 在预测卵巢恶性病变方面的表现相当,同时超过了 IOTA SR。此外,与单独使用 O-RADS US v2022 或 HE4 相比,联合使用 O-RADS US v2022 和 HE4 可提高诊断效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diagnostic accuracy of ultrasound classifications – O-RADS US v2022, O-RADS US v2020, and IOTA SR – in distinguishing benign and malignant adnexal masses: Enhanced by combining O-RADS US v2022 with tumor marker HE4

Purpose

To assess the diagnostic accuracy of O-RADS Ultrasound (O-RADS US) v2022, O-RADS US v2020, and IOTA SR, and to evaluate whether combining imaging findings with tumor markers enhances the diagnosis of adnexal masses.

Methods

This retrospective study, conducted between January 2018 and December 2023, included consecutive women with adnexal masses scheduled for surgery. Histopathologic results served as the reference standard. Risk factors for malignancy were identified using univariate and multivariate logistic regression analyses. ROC analysis was employed to assess diagnostic test performances, while Kappa statistics evaluated inter-reviewer agreement.

Results

A total of 613 women (mean age, 49.39 ± 12.81 years; range, 16–87 years) with pelvic masses were included. O-RADS US v2022 exhibited comparable performance to O-RADS US v2020, with areas under the curve (AUC) values of 0.940 and 0.937, respectively (p = 0.02, exceeding the adjusted significance level of 0.0167). Both O-RADS models outperformed the IOTA SR, which had an AUC of 0.862 (p < 0.0001 for both comparisons). Multivariate analysis revealed that O-RADS US v2022 [OR 9.148, 95 %CI (4.912–17.039), p < 0.001] and HE4 [OR 1.023, 95 %CI (1.010–1.036), p = 0.001] were significant factors associated with malignant lesions. Furthermore, the combination of O-RADS US v2022 and HE4 demonstrated an AUC of 0.98, significantly outperforming either O-RADS US v2022 alone (AUC = 0.94) or HE4 alone (AUC = 0.92). The Kappa values for O-RADS US v2022, O-RADS US v2020 and IOTA SR were 0.933, 0.891 and 0.923, respectively, indicating substantial inter-reader agreement.

Conclusions

The O-RADS US v2022 demonstrates comparable performance in predicting ovarian malignant lesions when compared to O-RADS US v2020, while surpassing the performance of IOTA SR. Additionally, the combination of O-RADS US v2022 and HE4 provides improved diagnostic effectiveness over using either O-RADS US v2022 or HE4 alone.
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来源期刊
CiteScore
6.70
自引率
3.00%
发文量
398
审稿时长
42 days
期刊介绍: European Journal of Radiology is an international journal which aims to communicate to its readers, state-of-the-art information on imaging developments in the form of high quality original research articles and timely reviews on current developments in the field. Its audience includes clinicians at all levels of training including radiology trainees, newly qualified imaging specialists and the experienced radiologist. Its aim is to inform efficient, appropriate and evidence-based imaging practice to the benefit of patients worldwide.
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