Abstract

The purpose of this study is to first investigate the correlation between image features and histological findings and the clinical severity of adenomyosis; second, search for imaging features to assess the type and locoregional extension of the disease; and finally, discuss the notation of image-based classification. This paper combines a review of the literature on adenomyosis with a series of cases who underwent surgery at Nara Medical University Hospital. Currently, there has been a lack of clear, clinically relevant, and internationally acceptable definition and histological classification due to its diverse phenotype. A number of researchers have attempted to standardize the magnetic resonance imaging (MRI) features of adenomyosis. Some researchers have begun studies that relate the subtype classification using MRI to disease severity. There is evidence suggesting that diffuse adenomyosis and intrinsic adenomyosis are correlated with menstrual bleeding, while extrinsic adenomyosis and coexistence of deep infiltrating endometriosis (DIE) are related to pelvic pain. MRI-based classifications that are simple for use in the clinical setting are beginning to be proposed. However, the reliability and validity of these classifications have not yet been verified. A simplified notation is required to discuss the association between the classification and severity of adenomyosis. We introduce case reports using the notation of four items necessary for classification of adenomyosis. There is an urgent need to determine the definitions of terms used in subtype classification and to create and validate a globally unified notation that can predict the severity of adenomyosis symptoms.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.