Magnetic resonance imaging findings of degenerating uterine fibroids: A pictorial review.

IF 1.1 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Clinical Imaging Science Pub Date : 2026-07-09 eCollection Date: 2026-01-01 DOI:10.25259/JCIS_301_2025

Nga Nguyen, Anas Al-Zubaidi, Karen Rojas, Anjali Ramachandran, Noha Kabeel, Peeyush Bhargava

引用次数: 0

Abstract

Although uterine leiomyomas (fibroids) are benign and frequently seen in genitourinary imaging, their degeneration features may overlap with malignant entities. Accurate characterization of uterine fibroids (UFs) and its differentiation from other malignancies not only helps alleviate patients' anxiety but also assists with treatment plans, either medical or surgical. This article aims to outline the main magnetic resonance imaging characteristics of each fibroid degenerating type with case-based illustrations. This will also outline essential imaging features to differentiate degenerating UFs from other malignant entities.

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退行性子宫肌瘤的磁共振影像表现：影像回顾。

虽然子宫平滑肌瘤（肌瘤）是良性的，在泌尿生殖系统影像学上很常见，但其变性特征可能与恶性实体重叠。子宫肌瘤（UFs）的准确表征及其与其他恶性肿瘤的区分不仅有助于减轻患者的焦虑，而且有助于制定药物或手术治疗计划。本文旨在以病例为基础的插图概述每种纤维瘤变性类型的主要磁共振成像特征。本文还将概述区分退行性UFs与其他恶性实体的基本影像学特征。

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

Journal of Clinical Imaging Science RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-

CiteScore

2.00

自引率

0.00%

发文量

期刊介绍： The Journal of Clinical Imaging Science (JCIS) is an open access peer-reviewed journal committed to publishing high-quality articles in the field of Imaging Science. The journal aims to present Imaging Science and relevant clinical information in an understandable and useful format. The journal is owned and published by the Scientific Scholar. Audience Our audience includes Radiologists, Researchers, Clinicians, medical professionals and students. Review process JCIS has a highly rigorous peer-review process that makes sure that manuscripts are scientifically accurate, relevant, novel and important. Authors disclose all conflicts, affiliations and financial associations such that the published content is not biased.