Accuracy of magnetic resonance imaging in assessing types of degeneration in leiomyomas

Background: Leiomyomas are the most common benign uterine neoplasms arising from smooth muscle cells. Magnetic resonance (MR) imaging is the most accurate imaging technique for detecting and localizing leiomyomas. As leimyomas grow, they may outgrow their blood supply resulting in various types of d...

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Main Authors: Sheema Posh, Suhail Rafiq, Farzana Manzoor, Obaid Ashraf, Musaib Ahmad
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Journal of Mahatma Gandhi Institute of Medical Sciences
Subjects:
Online Access:http://www.jmgims.co.in/article.asp?issn=0971-9903;year=2020;volume=25;issue=2;spage=99;epage=102;aulast=Posh
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spelling doaj-790b7fdfbe384a95bf63b6973e2079012021-01-08T04:18:18ZengWolters Kluwer Medknow PublicationsJournal of Mahatma Gandhi Institute of Medical Sciences0971-99032020-01-012529910210.4103/jmgims.jmgims_40_20Accuracy of magnetic resonance imaging in assessing types of degeneration in leiomyomasSheema PoshSuhail RafiqFarzana ManzoorObaid AshrafMusaib AhmadBackground: Leiomyomas are the most common benign uterine neoplasms arising from smooth muscle cells. Magnetic resonance (MR) imaging is the most accurate imaging technique for detecting and localizing leiomyomas. As leimyomas grow, they may outgrow their blood supply resulting in various types of degeneration such as myxoid, hyaline, cystic, red, and calcification. Degenerated leiomyomas have variable appearances on T2-weighted images and contrast-enhanced images. Materials and Methods: This was a retrospective hospital-based study done in Government Medical College, Srinagar, from January 2018 to December 2019. The study included 78 patients with more than 2 cm pathologically proven fibroids who underwent myomectomy or hysterectomy and preoperative MR imaging (MRI). We assessed the accuracy of MR for picking degeneration in fibroids. Aim and Objective: The aim and objective of this study is to determine the sensitivity, specificity, positive, and negative predictive value of MRI in assessing degeneration in uterine fibroids. Results: The sensitivity, specificity, positive and negative predictive values of MRI in assessing degeneration in uterine fibroids were 60%, 93.7%, 85.7%, and 78.9% respectively. Menorrhagia followed by dysmenorrhea was the most common presenting symptom. Conclusion: MRI has average sensitivity and very good specificity for picking fibroid degenerations. MRI has high accuracy for picking up myxoid, cystic, and red degeneration.http://www.jmgims.co.in/article.asp?issn=0971-9903;year=2020;volume=25;issue=2;spage=99;epage=102;aulast=Poshleiomyomamagnetic resonance imagingmyxoid degenerationred degeneration
collection DOAJ
language English
format Article
sources DOAJ
author Sheema Posh
Suhail Rafiq
Farzana Manzoor
Obaid Ashraf
Musaib Ahmad
spellingShingle Sheema Posh
Suhail Rafiq
Farzana Manzoor
Obaid Ashraf
Musaib Ahmad
Accuracy of magnetic resonance imaging in assessing types of degeneration in leiomyomas
Journal of Mahatma Gandhi Institute of Medical Sciences
leiomyoma
magnetic resonance imaging
myxoid degeneration
red degeneration
author_facet Sheema Posh
Suhail Rafiq
Farzana Manzoor
Obaid Ashraf
Musaib Ahmad
author_sort Sheema Posh
title Accuracy of magnetic resonance imaging in assessing types of degeneration in leiomyomas
title_short Accuracy of magnetic resonance imaging in assessing types of degeneration in leiomyomas
title_full Accuracy of magnetic resonance imaging in assessing types of degeneration in leiomyomas
title_fullStr Accuracy of magnetic resonance imaging in assessing types of degeneration in leiomyomas
title_full_unstemmed Accuracy of magnetic resonance imaging in assessing types of degeneration in leiomyomas
title_sort accuracy of magnetic resonance imaging in assessing types of degeneration in leiomyomas
publisher Wolters Kluwer Medknow Publications
series Journal of Mahatma Gandhi Institute of Medical Sciences
issn 0971-9903
publishDate 2020-01-01
description Background: Leiomyomas are the most common benign uterine neoplasms arising from smooth muscle cells. Magnetic resonance (MR) imaging is the most accurate imaging technique for detecting and localizing leiomyomas. As leimyomas grow, they may outgrow their blood supply resulting in various types of degeneration such as myxoid, hyaline, cystic, red, and calcification. Degenerated leiomyomas have variable appearances on T2-weighted images and contrast-enhanced images. Materials and Methods: This was a retrospective hospital-based study done in Government Medical College, Srinagar, from January 2018 to December 2019. The study included 78 patients with more than 2 cm pathologically proven fibroids who underwent myomectomy or hysterectomy and preoperative MR imaging (MRI). We assessed the accuracy of MR for picking degeneration in fibroids. Aim and Objective: The aim and objective of this study is to determine the sensitivity, specificity, positive, and negative predictive value of MRI in assessing degeneration in uterine fibroids. Results: The sensitivity, specificity, positive and negative predictive values of MRI in assessing degeneration in uterine fibroids were 60%, 93.7%, 85.7%, and 78.9% respectively. Menorrhagia followed by dysmenorrhea was the most common presenting symptom. Conclusion: MRI has average sensitivity and very good specificity for picking fibroid degenerations. MRI has high accuracy for picking up myxoid, cystic, and red degeneration.
topic leiomyoma
magnetic resonance imaging
myxoid degeneration
red degeneration
url http://www.jmgims.co.in/article.asp?issn=0971-9903;year=2020;volume=25;issue=2;spage=99;epage=102;aulast=Posh
work_keys_str_mv AT sheemaposh accuracyofmagneticresonanceimaginginassessingtypesofdegenerationinleiomyomas
AT suhailrafiq accuracyofmagneticresonanceimaginginassessingtypesofdegenerationinleiomyomas
AT farzanamanzoor accuracyofmagneticresonanceimaginginassessingtypesofdegenerationinleiomyomas
AT obaidashraf accuracyofmagneticresonanceimaginginassessingtypesofdegenerationinleiomyomas
AT musaibahmad accuracyofmagneticresonanceimaginginassessingtypesofdegenerationinleiomyomas
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