Pathology and risk stratification-based evaluation of ovarian masses on MRI.

IF 2.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Ayesha Arora, Clair Shadbolt, Kim Lam, Sarita Bahure, Yu Xuan Kitzing
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引用次数: 0

Abstract

Characterisation of an indeterminate ovarian mass is important as it guides management and clinical outcomes. Ultrasound is the first-line modality in the assessment of ovarian tumours. When ovarian masses are indeterminate on ultrasound, MRI provides excellent resolution in tissue characterisation and enhancement patterns. Ovarian masses can be categorised based on risk-scoring systems such as the American College of Radiology (ACR) MRI Ovarian-Adnexal Reporting and Data System (O-RADS). The imaging features of non-neoplastic, benign, borderline and malignant neoplastic ovarian lesions are discussed in this review with a focus on the pathology process accounting for the MRI appearance. Characteristic findings and clues in differentiating a benign lesion from a malignancy are presented in this review.

卵巢肿块MRI病理及风险分层评价。
不确定卵巢肿块的特征是重要的,因为它指导管理和临床结果。超声是评估卵巢肿瘤的一线方法。当卵巢肿块在超声上不确定时,MRI在组织特征和增强模式上提供了很好的分辨率。卵巢肿块可以根据风险评分系统进行分类,如美国放射学会(ACR) MRI卵巢附件报告和数据系统(O-RADS)。本文讨论了卵巢非肿瘤性、良性、交界性和恶性肿瘤病变的影像学特征,重点讨论了其MRI表现的病理过程。特征性的发现和线索,以区分良性病变和恶性肿瘤提出了在这篇综述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.30
自引率
6.20%
发文量
133
审稿时长
6-12 weeks
期刊介绍: Journal of Medical Imaging and Radiation Oncology (formerly Australasian Radiology) is the official journal of The Royal Australian and New Zealand College of Radiologists, publishing articles of scientific excellence in radiology and radiation oncology. Manuscripts are judged on the basis of their contribution of original data and ideas or interpretation. All articles are peer reviewed.
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