超声成像技术评估卵巢肿瘤的研究进展
Research progress of multimodal ultrasound imaging in evaluating ovarian tumors
梁玉清 1陈成彩2
作者信息
- 1. 右江民族医学院研究生学院 广西 百色 533000
- 2. 右江民族医学院附属医院超声医学科 广西 百色 533000
- 折叠
摘要
早期发现并准确评判卵巢肿瘤的良恶性对临床管理及手术时机的选择极为重要.超声检查是当前临床筛查和评估卵巢肿瘤的首选技术手段,但由于卵巢肿瘤组织类型复杂多样,且超声诊断具有较强的主观依赖性,临床漏诊率和误诊率较高.随着影像学技术的发展,新型超声技术提高了识别卵巢肿瘤的能力,在卵巢肿瘤诊断中的优势凸显.本文主要综述二维灰阶超声、彩色多普勒超声、超声造影以及结合超声图像的人工智能评估等技术在诊断卵巢肿瘤良恶性中的应用研究进展.
Abstract
Early detection and accurate evaluation of benign and malignant ovarian tumors is very important for clinical management and surgical timing.Ultrasound is currently the preferred technique for clinical screening and evaluation of ovarian tumors.However,due to the complex and diverse tissue types of ovarian tumors and the strong subjective dependence of ultrasound diagnosis,the clinical missed diagnosis rate and misdiagnosis rate cannot be underestimated.With the development of imaging technology,multimodal ultrasound technology has improved the ability to identify ovarian tumors,and has prominent advantages in the diagnosis of ovarian tumors.In this paper,the application of two-dimensional gray scale ultrasound,color Doppler ultrasound,contrast-enhanced ultrasound and artificial intelligence evaluation combined with ultrasound images in the diagnosis of benign and malignant ovarian tumors is reviewed.
关键词
卵巢肿瘤/超声检查/超声造影/人工智能Key words
Ovarian tumor/Ultrasound examination/Contrast-enhanced ultrasound/Artificial intelligence引用本文复制引用
出版年
2024
NETL
NSTL
万方数据