Vaginal masses: magnetic resonance imaging features with pathologic correlation

Author:

Elsayes K. M.1,Narra V. R.1,Dillman J. R.1,Velcheti V.1,Hameed O.1,Tongdee R.1,Menias C. O.1

Affiliation:

1. Department of Radiology, University of Michigan Health System, Ann Arbor, MI, USA; Department of Pathology, University of Alabama School of Medicine; Mallinckrodt Institute of Radiology and Department of Surgical Pathology, Washington University, St. Louis, MO, USA

Abstract

The detection of vaginal lesions has increased with the expanding use of cross-sectional imaging. Magnetic resonance imaging (MRI)—with its high-contrast resolution and multiplanar capabilities—is often useful for characterizing vaginal masses. Vaginal masses can be classified as congenital, inflammatory, cystic (benign), and neoplastic (benign or malignant) in etiology. Recognition of the typical MR imaging features of such lesions is important because it often determines the treatment approach and may obviate surgery. Finally, vaginal MR imaging can be used to evaluate post-treatment changes related to previous surgery and radiation therapy. In this article, we will review pertinent vaginal anatomy, vaginal and pelvic MRI technique, and the MRI features of a variety of vaginal lesions with pathological correlation.

Publisher

SAGE Publications

Subject

Radiology Nuclear Medicine and imaging,General Medicine,Radiological and Ultrasound Technology

Cited by 41 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Vaginal Neoplasia;Gynecologic and Obstetric Pathology;2024

2. Multimodality imaging of diseases of the vagina;British Journal of Radiology;2023-12-18

3. Diagnosis and management of vaginal leiomyoma: a case report and literature review;Ginekologia Polska;2023-10-31

4. Imaging of Vaginal and Vulvar Malignancy;Radiologic Clinics of North America;2023-07

5. Peri‐Urethral and Anterior Vaginal Wall Masses: Does Radiological Imaging Change the Predicted Diagnosis?;Neurourology and Urodynamics;2023-02-13

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3