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

IF 2.2 4区 医学 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Journal of Medical Imaging and Radiation Oncology Pub Date : 2024-12-27 DOI:10.1111/1754-9485.13819
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.

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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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