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MR imaging of ovarian masses: classification and differential diagnosis
OBJECTIVE: We propose a Magnetic Resonance Imaging (MRI) guided approach to differential diagnosis of ovarian tumours based on morphological appearance. BACKGROUND: Characterization of ovarian lesions is of great importance in order to plan adequate therapeutic procedures, and may influence patient’...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4729709/ https://www.ncbi.nlm.nih.gov/pubmed/26671276 http://dx.doi.org/10.1007/s13244-015-0455-4 |
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author | Foti, Pietro Valerio Attinà, Giancarlo Spadola, Saveria Caltabiano, Rosario Farina, Renato Palmucci, Stefano Zarbo, Giuseppe Zarbo, Rosario D’Arrigo, Maria Milone, Pietro Ettorre, Giovanni Carlo |
author_facet | Foti, Pietro Valerio Attinà, Giancarlo Spadola, Saveria Caltabiano, Rosario Farina, Renato Palmucci, Stefano Zarbo, Giuseppe Zarbo, Rosario D’Arrigo, Maria Milone, Pietro Ettorre, Giovanni Carlo |
author_sort | Foti, Pietro Valerio |
collection | PubMed |
description | OBJECTIVE: We propose a Magnetic Resonance Imaging (MRI) guided approach to differential diagnosis of ovarian tumours based on morphological appearance. BACKGROUND: Characterization of ovarian lesions is of great importance in order to plan adequate therapeutic procedures, and may influence patient’s management. Optimal assessment of adnexal masses requires a multidisciplinary approach, based on physical examination, laboratory tests and imaging techniques. Primary ovarian tumours can be classified into three main categories according to tumour origin: epithelial, germ cell and sex cord-stromal tumours. Ovarian neoplasms may be benign, borderline or malignant. Using an imaging-guided approach based on morphological appearance, we classified adnexal masses into four main groups: unilocular cyst, multilocular cyst, cystic and solid, predominantly solid. We describe MR signal intensity features and enhancement behaviour of ovarian lesions using pathologically proven examples from our institution. CONCLUSION: MRI is an essential problem-solving tool to determine the site of origin of a pelvic mass, to characterize an adnexal mass, and to detect local invasion. The main advantages of MRI are the high contrast resolution and lack of ionizing radiation exposure. Although different pathological conditions may show similar radiologic manifestations, radiologists should be aware of MRI features of ovarian lesions that may orientate differential diagnosis. TEACHING POINTS: • Diagnostic imaging plays a crucial role in detection, characterization and staging of adnexal masses. • Characterization of an ovarian lesion may influence patient’s management. • Different pathological conditions may have similar radiologic manifestations. • Non-neoplastic lesions should always be taken into consideration. |
format | Online Article Text |
id | pubmed-4729709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-47297092016-02-03 MR imaging of ovarian masses: classification and differential diagnosis Foti, Pietro Valerio Attinà, Giancarlo Spadola, Saveria Caltabiano, Rosario Farina, Renato Palmucci, Stefano Zarbo, Giuseppe Zarbo, Rosario D’Arrigo, Maria Milone, Pietro Ettorre, Giovanni Carlo Insights Imaging Pictorial Review OBJECTIVE: We propose a Magnetic Resonance Imaging (MRI) guided approach to differential diagnosis of ovarian tumours based on morphological appearance. BACKGROUND: Characterization of ovarian lesions is of great importance in order to plan adequate therapeutic procedures, and may influence patient’s management. Optimal assessment of adnexal masses requires a multidisciplinary approach, based on physical examination, laboratory tests and imaging techniques. Primary ovarian tumours can be classified into three main categories according to tumour origin: epithelial, germ cell and sex cord-stromal tumours. Ovarian neoplasms may be benign, borderline or malignant. Using an imaging-guided approach based on morphological appearance, we classified adnexal masses into four main groups: unilocular cyst, multilocular cyst, cystic and solid, predominantly solid. We describe MR signal intensity features and enhancement behaviour of ovarian lesions using pathologically proven examples from our institution. CONCLUSION: MRI is an essential problem-solving tool to determine the site of origin of a pelvic mass, to characterize an adnexal mass, and to detect local invasion. The main advantages of MRI are the high contrast resolution and lack of ionizing radiation exposure. Although different pathological conditions may show similar radiologic manifestations, radiologists should be aware of MRI features of ovarian lesions that may orientate differential diagnosis. TEACHING POINTS: • Diagnostic imaging plays a crucial role in detection, characterization and staging of adnexal masses. • Characterization of an ovarian lesion may influence patient’s management. • Different pathological conditions may have similar radiologic manifestations. • Non-neoplastic lesions should always be taken into consideration. Springer Berlin Heidelberg 2015-12-16 /pmc/articles/PMC4729709/ /pubmed/26671276 http://dx.doi.org/10.1007/s13244-015-0455-4 Text en © The Author(s) 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Pictorial Review Foti, Pietro Valerio Attinà, Giancarlo Spadola, Saveria Caltabiano, Rosario Farina, Renato Palmucci, Stefano Zarbo, Giuseppe Zarbo, Rosario D’Arrigo, Maria Milone, Pietro Ettorre, Giovanni Carlo MR imaging of ovarian masses: classification and differential diagnosis |
title | MR imaging of ovarian masses: classification and differential diagnosis |
title_full | MR imaging of ovarian masses: classification and differential diagnosis |
title_fullStr | MR imaging of ovarian masses: classification and differential diagnosis |
title_full_unstemmed | MR imaging of ovarian masses: classification and differential diagnosis |
title_short | MR imaging of ovarian masses: classification and differential diagnosis |
title_sort | mr imaging of ovarian masses: classification and differential diagnosis |
topic | Pictorial Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4729709/ https://www.ncbi.nlm.nih.gov/pubmed/26671276 http://dx.doi.org/10.1007/s13244-015-0455-4 |
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