肿瘤影像学2024,Vol.33Issue(2) :194-199.DOI:10.19732/j.cnki.2096-6210.2024.02.014

卵巢肿瘤超声评价方法的进展和临床应用

Progress and clinical application of ultrasound evaluation methods for ovarian tumors

张会萍 周毓青
肿瘤影像学2024,Vol.33Issue(2) :194-199.DOI:10.19732/j.cnki.2096-6210.2024.02.014

卵巢肿瘤超声评价方法的进展和临床应用

Progress and clinical application of ultrasound evaluation methods for ovarian tumors

张会萍 1周毓青1
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作者信息

  • 1. 上海市长宁区妇幼保健院/华东师范大学附属妇幼保健院超声医学科,上海 200050
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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.

关键词

卵巢肿瘤/超声/规范化/预测模型/风险分层

Key words

Ovarian tumors/Ultrasound/Standardization/Prediction model/Risk stratification

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基金项目

上海市自然科学基金面上项目(22ZR1458200)

上海市长宁区科委重点项目(CNKW2020Z04)

上海市长宁区医学博士创新人才基地项目(RCJD2021B09)

出版年

2024
肿瘤影像学
复旦大学附属肿瘤医院

肿瘤影像学

CSTPCD
影响因子:0.67
ISSN:1008-617X
参考文献量24
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