Cargando…
Endometriosis: clinical features, MR imaging findings and pathologic correlation
OBJECTIVE: We illustrate the magnetic resonance imaging (MRI) features of endometriosis. BACKGROUND: Endometriosis is a chronic gynaecological condition affecting women of reproductive age and may cause pelvic pain and infertility. It is characterized by the growth of functional ectopic endometrial...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893487/ https://www.ncbi.nlm.nih.gov/pubmed/29450853 http://dx.doi.org/10.1007/s13244-017-0591-0 |
_version_ | 1783313306282360832 |
---|---|
author | Foti, Pietro Valerio Farina, Renato Palmucci, Stefano Vizzini, Ilenia Anna Agata Libertini, Norma Coronella, Maria Spadola, Saveria Caltabiano, Rosario Iraci, Marco Basile, Antonio Milone, Pietro Cianci, Antonio Ettorre, Giovanni Carlo |
author_facet | Foti, Pietro Valerio Farina, Renato Palmucci, Stefano Vizzini, Ilenia Anna Agata Libertini, Norma Coronella, Maria Spadola, Saveria Caltabiano, Rosario Iraci, Marco Basile, Antonio Milone, Pietro Cianci, Antonio Ettorre, Giovanni Carlo |
author_sort | Foti, Pietro Valerio |
collection | PubMed |
description | OBJECTIVE: We illustrate the magnetic resonance imaging (MRI) features of endometriosis. BACKGROUND: Endometriosis is a chronic gynaecological condition affecting women of reproductive age and may cause pelvic pain and infertility. It is characterized by the growth of functional ectopic endometrial glands and stroma outside the uterus and includes three different manifestations: ovarian endometriomas, peritoneal implants, deep pelvic endometriosis. The primary locations are in the pelvis; extrapelvic endometriosis may rarely occur. Diagnosis requires a combination of clinical history, invasive and non-invasive techniques. The definitive diagnosis is based on laparoscopy with histological confirmation. Diagnostic imaging is necessary for treatment planning. MRI is as a second-line technique after ultrasound. The MRI appearance of endometriotic lesions is variable and depends on the quantity and age of haemorrhage, the amount of endometrial cells, stroma, smooth muscle proliferation and fibrosis. The purpose of surgery is to achieve complete resection of all endometriotic lesions in the same operation. CONCLUSION: Owing to the possibility to perform a complete assessment of all pelvic compartments at one time, MRI represents the best imaging technique for preoperative staging of endometriosis, in order to choose the more appropriate surgical approach and to plan a multidisciplinary team work. TEACHING POINTS: • Endometriosis includes ovarian endometriomas, peritoneal implants and deep pelvic endometriosis. • MRI is a second-line imaging technique after US. • Deep pelvic endometriosis is associated with chronic pelvic pain and infertility. • Endometriosis is characterized by considerable diagnostic delay. • MRI is the best imaging technique for preoperative staging of endometriosis. |
format | Online Article Text |
id | pubmed-5893487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-58934872018-04-16 Endometriosis: clinical features, MR imaging findings and pathologic correlation Foti, Pietro Valerio Farina, Renato Palmucci, Stefano Vizzini, Ilenia Anna Agata Libertini, Norma Coronella, Maria Spadola, Saveria Caltabiano, Rosario Iraci, Marco Basile, Antonio Milone, Pietro Cianci, Antonio Ettorre, Giovanni Carlo Insights Imaging Pictorial Review OBJECTIVE: We illustrate the magnetic resonance imaging (MRI) features of endometriosis. BACKGROUND: Endometriosis is a chronic gynaecological condition affecting women of reproductive age and may cause pelvic pain and infertility. It is characterized by the growth of functional ectopic endometrial glands and stroma outside the uterus and includes three different manifestations: ovarian endometriomas, peritoneal implants, deep pelvic endometriosis. The primary locations are in the pelvis; extrapelvic endometriosis may rarely occur. Diagnosis requires a combination of clinical history, invasive and non-invasive techniques. The definitive diagnosis is based on laparoscopy with histological confirmation. Diagnostic imaging is necessary for treatment planning. MRI is as a second-line technique after ultrasound. The MRI appearance of endometriotic lesions is variable and depends on the quantity and age of haemorrhage, the amount of endometrial cells, stroma, smooth muscle proliferation and fibrosis. The purpose of surgery is to achieve complete resection of all endometriotic lesions in the same operation. CONCLUSION: Owing to the possibility to perform a complete assessment of all pelvic compartments at one time, MRI represents the best imaging technique for preoperative staging of endometriosis, in order to choose the more appropriate surgical approach and to plan a multidisciplinary team work. TEACHING POINTS: • Endometriosis includes ovarian endometriomas, peritoneal implants and deep pelvic endometriosis. • MRI is a second-line imaging technique after US. • Deep pelvic endometriosis is associated with chronic pelvic pain and infertility. • Endometriosis is characterized by considerable diagnostic delay. • MRI is the best imaging technique for preoperative staging of endometriosis. Springer Berlin Heidelberg 2018-02-15 /pmc/articles/PMC5893487/ /pubmed/29450853 http://dx.doi.org/10.1007/s13244-017-0591-0 Text en © The Author(s) 2018 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 Farina, Renato Palmucci, Stefano Vizzini, Ilenia Anna Agata Libertini, Norma Coronella, Maria Spadola, Saveria Caltabiano, Rosario Iraci, Marco Basile, Antonio Milone, Pietro Cianci, Antonio Ettorre, Giovanni Carlo Endometriosis: clinical features, MR imaging findings and pathologic correlation |
title | Endometriosis: clinical features, MR imaging findings and pathologic correlation |
title_full | Endometriosis: clinical features, MR imaging findings and pathologic correlation |
title_fullStr | Endometriosis: clinical features, MR imaging findings and pathologic correlation |
title_full_unstemmed | Endometriosis: clinical features, MR imaging findings and pathologic correlation |
title_short | Endometriosis: clinical features, MR imaging findings and pathologic correlation |
title_sort | endometriosis: clinical features, mr imaging findings and pathologic correlation |
topic | Pictorial Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893487/ https://www.ncbi.nlm.nih.gov/pubmed/29450853 http://dx.doi.org/10.1007/s13244-017-0591-0 |
work_keys_str_mv | AT fotipietrovalerio endometriosisclinicalfeaturesmrimagingfindingsandpathologiccorrelation AT farinarenato endometriosisclinicalfeaturesmrimagingfindingsandpathologiccorrelation AT palmuccistefano endometriosisclinicalfeaturesmrimagingfindingsandpathologiccorrelation AT vizziniileniaannaagata endometriosisclinicalfeaturesmrimagingfindingsandpathologiccorrelation AT libertininorma endometriosisclinicalfeaturesmrimagingfindingsandpathologiccorrelation AT coronellamaria endometriosisclinicalfeaturesmrimagingfindingsandpathologiccorrelation AT spadolasaveria endometriosisclinicalfeaturesmrimagingfindingsandpathologiccorrelation AT caltabianorosario endometriosisclinicalfeaturesmrimagingfindingsandpathologiccorrelation AT iracimarco endometriosisclinicalfeaturesmrimagingfindingsandpathologiccorrelation AT basileantonio endometriosisclinicalfeaturesmrimagingfindingsandpathologiccorrelation AT milonepietro endometriosisclinicalfeaturesmrimagingfindingsandpathologiccorrelation AT cianciantonio endometriosisclinicalfeaturesmrimagingfindingsandpathologiccorrelation AT ettorregiovannicarlo endometriosisclinicalfeaturesmrimagingfindingsandpathologiccorrelation |