Evidence map›Paper›PMID 40824539›Full record

ArticleAbdominal radiology (New York)2026

Predicting the therapeutic efficacy of uterine artery embolization for adenomyosis using a combined model based on MRI radiomics and clinical characteristics.

Hao Zhang, Zhe Ye, Hengrui Cai, Liang Yin, Di Wang, Xiaokang Sun, Xingwei Sun, Chen Geng, Yong Jin

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In one paragraph

Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Hao ZhangThe Second Affiliated Hospital of Soochow University, Suzhou, China.
Zhe YeChangchun University of Technology, Changchun, China.
Hengrui CaiThe Second Affiliated Hospital of Soochow University, Suzhou, China.
Liang YinThe Second Affiliated Hospital of Soochow University, Suzhou, China.
Di WangThe Second Affiliated Hospital of Soochow University, Suzhou, China.
Xiaokang SunThe Second Affiliated Hospital of Soochow University, Suzhou, China.
Xingwei SunThe Second Affiliated Hospital of Soochow University, Suzhou, China.
Chen GengChangchun University of Technology, Changchun, China.
Yong JinThe Second Affiliated Hospital of Soochow University, Suzhou, China. jinyong@suda.edu.cn.

Funding

National Natural Science Foundation of China U23A20483, 62441114Natural Science Foundation of Shandong Province ZR2022QF093Science and Technology Program of Suzhou SKY2023070
6 · The paper itself

Abstract

objectivePrediction of the therapeutic efficacy of uterine artery embolization (UAE) for adenomyosis (AM) using an MRI-based radiomics model combined with clinical characteristics.

methodsA retrospective analysis was conducted on 126 patients with AM who underwent UAE at the Interventional Radiology Department of the Second Affiliated Hospital of Soochow University. Radiomics features were extracted from uterine lesions using axial T

resultsTotal of 1874 radiomics features were extracted from axial T

conclusionThe combined model integrating radiomics features and clinical characteristics demonstrated significant predictive performance and robustness in evaluating lesion necrosis extent following UAE for AM. Its discriminative capability surpassed that of single-modality prediction models, potentially offering a non-invasive objective assessment tool to optimize clinical decision-making pathways.

Indexed as

AdenomyosisMagnetic Resonance ImagingUterine Artery EmbolizationAdultFemaleHumansMiddle AgedPredictive Value of TestsRadiomicsRetrospective StudiesTreatment OutcomeAdenomyosisPrediction modelRadiomicsUterine artery embolization.

Identifiers

PMID40824539

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.