良性和恶性卵巢肿瘤的超声鉴别诊断:诊断模型、算法、分层系统、共识(1990-2023 年)。

M. N. Bulanov, M. A. Chekalova, M. V. Mazurkevich, N. N. Vetsheva
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引用次数: 0

摘要

本综述介绍了 1990 年至今为优化卵巢良恶性肿瘤鉴别诊断而开发的最常见诊断模型、算法和分层系统。介绍了 RMI 1-4 恶性风险指数的四种变体及其比较特征。介绍了专有的卵巢肿瘤超声综合评分表。介绍了综合使用超声波和肿瘤标志物(CA-125、HE4、ROMA)的算法,包括卵巢癌风险计算机系统。介绍了所有现有的 IOTA 诊断模型:简单 IOTA 规则、定量计算恶性肿瘤风险的简单 IOTA 规则、逻辑回归分析 IOTA LR1 和 LR2、简易 IOTA 描述符、IOTA ADNEX。介绍了综合使用 IOTA 模型的主要算法。概述了 GI-RADS 和 O-RADS 诊断分层系统的使用原则。给出了使用诊断模型的临床实例。综述最后介绍了 ESGO/ISUOG/IOTA/ESGE 关于卵巢肿瘤术前诊断的共识。
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Differential ultrasound diagnosis of benign and malignant ovarian tumors: diagnostic models, algorithms, stratification systems, consensuses (1990–2023).
The review presents the most common diagnostic models, algorithms and stratification systems developed for the purpose of optimal differential diagnosis of benign and malignant ovarian tumors from 1990 to the present. Four variants of the RMI 1–4 malignancy risk index with their comparative characteristics are described. A proprietary comprehensive ultrasound scoring scale for ovarian tumors is described. Algorithms for the integrated use of echography and tumor markers (CA-125, HE4, ROMA), including the Risk Ovarian Cancer computer system, are presented. All existing IOTA diagnostic models are described: Simple IOTA rules, Simple IOTA rules with quantitative calculation of the risk of malignancy, Logistic regression analysis IOTA LR1 & LR2, Easy IOTA descriptors, IOTA ADNEX. The main algorithms for the integrated use of IOTA models are presented. The principles of using the diagnostic stratification systems GI-RADS and O-RADS are outlined. Clinical examples of the use of diagnostic models are given. The review concludes by presenting the ESGO/ISUOG/IOTA/ESGE consensus on the preoperative diagnosis of ovarian tumors.
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