Progress and clinical application of ultrasound evaluation methods for ovarian tumors

ZHANG Huiping; ZHOU Yuqing

doi:10.19732/j.cnki.2096-6210.2024.02.015

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Progress and clinical application of ultrasound evaluation methods for ovarian tumors

更新时间：2025-12-15

- Progress and clinical application of ultrasound evaluation methods for ovarian tumors
- Vol. 33, Issue 2, Pages: 194-199(2024)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2024.02.015
  CLC：
- Published Online：14 May 2024，
  
  Published：14 May 2024
- 稿件说明：
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张会萍,周毓青. 卵巢肿瘤超声评价方法的进展和临床应用[J]. 肿瘤影像学, 2024, 33(2): 194-199 https://doi.

org/10.19732/j.cnki.2096-6210.2024.02.015
张会萍,周毓青. 卵巢肿瘤超声评价方法的进展和临床应用[J]. 肿瘤影像学, 2024, 33(2): 194-199 https://doi. DOI： 10.19732/j.cnki.2096-6210.2024.02.015.

org/10.19732/j.cnki.2096-6210.2024.02.015 DOI：

摘要

超声检查是卵巢肿瘤的首选影像学检查方法，在卵巢肿瘤的诊断中起着不可替代的作用。随着超声检查规范化、同质化的要求越来越高，对卵巢肿瘤超声检查、超声报告书写及存图等进行规范化管理在临床工作中具有重要意义。国际卵巢肿瘤分析的用词、原则及预测模型，美国放射学会卵巢-附件报告和数据系统的超声共识指南，以及国家超声医学质量控制中心的卵巢与附件超声检查规范及质量控制方案，对卵巢肿瘤超声检查提出了规范术语、建立诊断预测模型或恶性风险分类及临床分层管理的意见与建议。本文结合国际国内基于卵巢肿瘤超声声像图特征的主要研究、共识、指南或规范，介绍卵巢肿瘤规范化超声用词以及有关的判断原则与预测模型。

Abstract

Ultrasund is the preferred imaging method for ovarian tumors and plays an irreplaceable role in the diagnosis of ovarian tumors. With the increasing demand for standardization and homogenization of ultrasound examination

standardized management of ultrasound examination

ultrasound report writing

and image storage is of great significance in clinical work. The terminology

rules and models of International Ovarian Tumor Analysis (IOTA)

the consensus guideline from the American College of Radiology (ACR) Ovarian-Adnexal Reporting and Data System (O-RADS) committee and ultrasound standardization and quality control for ovarian-adnexal tumors from Chinese National Ultrasound Medical Quality Control Center provided standardized description

established diagnostic predictive models or malignant risk classification and clinical stratification management. This paper introduced standardized ultrasound terminology for ovarian tumors

as well as relevant judgment rules and predictive models based on the main researches

consensus and guidelines in the international and domestic academia.

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