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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’...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2015
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.
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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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