Magnetic resonance imaging of pure ovarian dysgerminoma: a series of eight cases

Bibliographic Details
Title: Magnetic resonance imaging of pure ovarian dysgerminoma: a series of eight cases
Authors: Laura Maria Cacioppa, Federico Crusco, Francesco Marchetti, Michele Duranti, Matteo Renzulli, Rita Golfieri
Source: Cancer Imaging, Vol 21, Iss 1, Pp 1-7 (2021)
Publisher Information: BMC, 2021.
Publication Year: 2021
Collection: LCC:Medical physics. Medical radiology. Nuclear medicine
LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
Subject Terms: Ovarian neoplasms, Dysgerminomas, Magnetic resonance imaging, Diffusion MRI, Computed tomography, Medical physics. Medical radiology. Nuclear medicine, R895-920, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
More Details: Abstract Background Imaging findings have a prominent role in early and correct identification of ovarian dysgerminoma, the most common ovarian malignant germ cell tumor (OMGCT). Despite Computed Tomography (CT) is widely used, Magnetic Resonance Imaging (MRI) has proved to be superior in adnexal masses characterization. Limited data and small series are available concerning MRI aspects of dysgerminoma. Case presentation From January 2012 to December 2018, a database of solid ovarian masses was retrospectively reviewed. Eight patients with histologically proven pure ovarian dysgerminoma and complete imaging available were identified and analyzed. Imaging findings were evaluated separately by two radiologists expert in female genito-urinary MRI. Conclusions MRI findings of a lobulated, purely solid, encapsulated mass with hyper-intensity of lobules and hypo-intensity of septa on T2w images contribute to differentiate dysgerminomas from other ovarian neoplasms.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1470-7330
Relation: https://doaj.org/toc/1470-7330
DOI: 10.1186/s40644-021-00427-1
Access URL: https://doaj.org/article/64b97091a9cc4ffc9aecf9dfa41855ef
Accession Number: edsdoj.64b97091a9cc4ffc9aecf9dfa41855ef
Database: Directory of Open Access Journals
More Details
ISSN:14707330
DOI:10.1186/s40644-021-00427-1
Published in:Cancer Imaging
Language:English