Time-dependent diffusion MRI differentiates atypical from conventional uterine leiomyomas: A preliminary study

Background: Preoperative differentiation of atypical from conventional uterine leiomyomas remains challenging on routine MRI due to overlapping morphological characteristics and signal heterogeneity related to degeneration or necrosis. Purpose: -dMRI) derived from oscillating and pulsed gradient spin-echo (OGSE/PGSE) sequences improves differentiation between atypical and conventional uterine leiomyomas compared with routine MRI (T1WI, T2WI and DWI). Materials and methods: -dMRI modelling. Group differences were assessed using independent-sample tests, and diagnostic performances were evaluated with generalized linear models (GLMs) and receiver operating characteristic (ROC) analyses. Results: = 0.0075). Conclusion: -dMRI may serve as a promising adjunct for preoperative characterization and treatment planning of uterine leiomyomas.

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Publication Details

Journal
European Journal of Radiology Open
Published
2026-04-22
DOI
https://doi.org/10.1016/j.ejro.2026.100755
Primary Topic
Uterine Myomas and Treatments
Type
article
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article

Time-dependent diffusion MRI differentiates atypical from conventional uterine leiomyomas: A preliminary study

Le Fu, Zhifei Du, Jiejun Cheng, Meizhu Teng et al.
European Journal of Radiology Open
Uterine Myomas and Treatments
article

Time-dependent diffusion MRI differentiates atypical from conventional uterine leiomyomas: A preliminary study

Le Fu, Zhifei Du, Jiejun Cheng, Meizhu Teng, Jianli Yu, Wei Li, Ran Tang, Dongmei Wu, Yichen Wang
article en

Abstract

Background: Preoperative differentiation of atypical from conventional uterine leiomyomas remains challenging on routine MRI due to overlapping morphological characteristics and signal heterogeneity related to degeneration or necrosis. Purpose: -dMRI) derived from oscillating and pulsed gradient spin-echo (OGSE/PGSE) sequences improves differentiation between atypical and conventional uterine leiomyomas compared with routine MRI (T1WI, T2WI and DWI). Materials and methods: -dMRI modelling. Group differences were assessed using independent-sample tests, and diagnostic performances were evaluated with generalized linear models (GLMs) and receiver operating characteristic (ROC) analyses. Results: = 0.0075). Conclusion: -dMRI may serve as a promising adjunct for preoperative characterization and treatment planning of uterine leiomyomas.

European Journal of Radiology OpenVol. 16
United Imaging Healthcare (China) (CN), Shanghai University of Medicine and Health Sciences (CN), Shanghai First Maternity and Infant Hospital (CN), East China Normal University (CN)
Zero hunger
Openalex Percentile: Top 13%
Uterine Myomas and Treatments
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