Classification of Uterine Adenomyosis: A Pictorial Essay

Hanna Bae, Yu Ri Shin, Sung Eun Rha
2024 · W6989869361
article OA: green CC0
🔓 Open OA copy Full text JSON View on OpenAlex
⚙ AI-generated summary by gemini-2.5-flash-lite, 2026-07-09 ⓘ

This pictorial essay reviews MRI findings for classifying uterine adenomyosis and its subtypes to enable precise presurgical diagnosis, treatment selection, and therapy monitoring.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

⚙ AI-generated deep summary by claude@2026-06, 2026-06-18 · read from full text ⓘ

This pictorial essay reviews how MRI is used to diagnose uterine adenomyosis by recognizing typical and atypical imaging features and by identifying related pathologies. It describes a standardized MRI-based classification system intended to support accurate presurgical diagnosis, distinguish adenomyosis subtypes and MRI phenotypes, and help align patients with appropriate treatment groups and assess therapeutic response. The main limitation is that it is an educational, imaging-focused narrative rather than an original study with new patient outcome data. This paper is centrally about adenomyosis — it focuses on MRI findings and a standardized adenomyosis classification system.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Abstract

MRI is a crucial tool for diagnosing adenomyosis and identifying its related pathologies. To accurately diagnose adenomyosis, it is necessary to recognize both the typical MRI findings and atypical features of the condition. Recently, a standardized classification system has been developed to facilitate precise presurgical diagnosis of adenomyosis and to determine the appropriate treatment method. Differentiating between various subtypes based on MRI-based classification and identifying different MRI phenotypes can aid in categorizing patients with adenomyosis into specific treatment groups and monitoring their response to therapy.
Full text 759 characters · extracted from oa-html · click to expand
Journal of the Korean Society of Radiology (May 2024) Classification of Uterine Adenomyosis: A Pictorial Essay Abstract MRI is a crucial tool for diagnosing adenomyosis and identifying its related pathologies. To accurately diagnose adenomyosis, it is necessary to recognize both the typical MRI findings and atypical features of the condition. Recently, a standardized classification system has been developed to facilitate precise presurgical diagnosis of adenomyosis and to determine the appropriate treatment method. Differentiating between various subtypes based on MRI-based classification and identifying different MRI phenotypes can aid in categorizing patients with adenomyosis into specific treatment groups and monitoring their response to therapy.

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy is the canonical version.

My notes (saved in your browser only)

⚙ Ask this paper AI returns verbatim quotes from the full text · source: oa-html ⓘ

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Condition tags

adenomyosis

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2024) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

openalex
last seen: 2026-05-11T08:14:53.606055+00:00
License: CC0 · commercial use OK