Relationship between magnetic resonance imaging‐based classification of adenomyosis and disease severity

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AI-generated summary by claude@2026-06, 2026-06-09

This paper reviews the literature and case reports to explore MRI-based classification of adenomyosis subtypes and their correlation with disease severity, highlighting the need for standardized terminology and validation.

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Abstract

AIMS: 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. METHODS: This paper combines a review of the literature on adenomyosis with a series of cases who underwent surgery at Nara Medical University Hospital. RESULTS: 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. CONCLUSION: 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.

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Condition tags

mesh:D004715endometriosisadenomyosisdie_deep_infiltrating

MeSH descriptors

Adenomyosis Endometriosis Female Humans Magnetic Resonance Imaging Reproducibility of Results Severity of Illness Index

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (54)

Cited by (17)

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License: CC0 · commercial use OK