Evidence map›Paper›PMID 42754752›Full record

ArticleEuropean radiology experimental2026

Diving deep into uterine layers: ADC and IVIM at 0.55-T MRI.

Smiti Tripathy, Milauni Desai, Maximilian Lindholz, Lieselotte Kratzsch, Vignesh V Pai, Franziska Mathis-Ullrich, Katharina Breininger, Jana Hutter

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Article in European radiology experimental, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Smiti TripathySmart Imaging Lab, Radiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany. smiti.tripathy@fau.de.ORCID http://orcid.org/0009-0008-3538-8638
Milauni DesaiSmart Imaging Lab, Radiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Maximilian LindholzClinic for Radiology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum, Berlin Institute of Health (BIH), Berlin, Germany.
Lieselotte KratzschSmart Imaging Lab, Radiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Vignesh V PaiSmart Imaging Lab, Radiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Franziska Mathis-UllrichDepartment of Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Katharina BreiningerCenter for AI and Datascience, Julius-Maximilians-Universität Würzburg, Würzburg, Germany.
Jana HutterSmart Imaging Lab, Radiologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.

Funding

DFG Heisenberg 502024488European Research Council 101165242
6 · The paper itself

Abstract

objectiveTo investigate and analyze the microstructure of uterine layers and to evaluate the feasibility and physiological variability of uterine diffusion metrics at 0.55-T MRI in healthy volunteers and participants with adenomyosis. MATERIALS AND

methodsIn this prospective study, 106 women, including healthy controls without (n = 47) and with hormonal contraception (n = 37), and patients diagnosed with adenomyosis (n = 22), underwent uterine diffusion MRI at 0.55 T. Apparent diffusion coefficient (ADC) and intravoxel incoherent motion (IVIM) were modeled using nine b-values in the myometrium, junctional zone, and endometrium. Quantitative intergroup differences, intragroup comparisons, and anterior-posterior wall analyses were performed. Evaluation of scan repetitions, intra-annotator and inter-annotator variability, and IVIM fit quality assessments were performed in subcohorts.

resultsThe intergroup analysis was performed on 106 women aged 27.2 ± 5.9 years (mean ± standard deviation) without bowel preparation or antispasmodics. A reduced median myometrium ADC (p = 0.024), reduced endometrial mean diffusivity (p = 0.017), and increased perfusion fraction (p = 0.014) were observed in the cohort with adenomyosis compared to healthy volunteers. Interindividual and intra-individual analysis of healthy volunteers demonstrated increased diffusivity in the endometrium during the luteal phase (p = 0.024). Additionally, differences in diffusion and IVIM parameters were observed in adenomyosis participants undergoing hormonal therapy. Repeat measurements, intra-annotator and inter-annotator agreement, and IVIM metric stability demonstrated good consistency.

conclusionThis study provides early evidence that uterine diffusion and IVIM at 0.55 T enable robust, non-invasive characterization of uterine microstructure sensitive to menstrual phase, hormonal status, and adenomyosis, providing insight into uterine physiology and pathology. KEY POINTS: Question Can 0.55-T MRI characterize functional changes associated with adenomyosis compared with healthy uteri? Findings 0.55-T uterine diffusion MRI without bowel preparation quantified uterine microstructure, with layer-specific ADC and IVIM distinguishing adenomyosis, hormonal effects, menstrual phase, and anterior-posterior differences. Relevance statement Quantitative diffusion and IVIM metrics at 0.55-T distinguish adenomyosis from healthy tissue through reduced myometrial ADC, endometrial diffusivity, and increased perfusion fraction. These biomarkers hold promise in clarifying diagnosis and supporting future studies assessing hormonal therapy response and treatment monitoring.

Indexed as

AdenomyosisDiffusion Magnetic Resonance ImagingUterusAdultCase-Control StudiesEndometriumFeasibility StudiesFemaleHumansMyometriumProspective StudiesAdenomyosisBiomarkersDiffusion magnetic resonance imagingEndometriumMyometrium

Identifiers

PMID42754752
PMCPMC13586134

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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 OpenQuestion graph.