Use of multiparametric MRI to characterize uterine fibroid tissue types
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RESEARCH ARTICLE
Use of multiparametric MRI to characterize uterine fibroid tissue types Inez M. Verpalen1 · Kimberley J. Anneveldt1,2 · Pieter C. Vos4 · Mireille A. Edens3 · Edwin Heijman4,5 · Ingrid M. Nijholt1 · Jeroen R. Dijkstra2 · Joke M. Schutte2 · Arie Franx6 · Lambertus W. Bartels7 · Chrit T. W. Moonen7 · Martijn F. Boomsma1 Received: 29 November 2019 / Revised: 2 March 2020 / Accepted: 10 March 2020 © European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) 2020
Abstract Background Although the biological characteristics of uterine fibroids (UF) have implications for therapy choice and effectiveness, there is limited MRI data about these characteristics. Currently, the Funaki classification and Scaled Signal Intensity (SSI) are used to predict treatment outcome but both screening-tools appear to be suboptimal. Therefore, multiparametric and quantitative MRI was studied to evaluate various biological characteristics of UF. Methods 87 patients with UF underwent an MRI-examination. Differences between UF tissues and myometrium were investigated using T2-mapping, Apparent Diffusion Coefficient (ADC) maps with different b-value combinations, contrastenhanced T1-weighted and T2-weighted imaging. Additionally, the Funaki classification and SSI were calculated. Results Significant differences between myometrium and UF tissue in T2-mapping (p = 0.001), long-TE ADC low b-values (p = 0.002), ADC all b-values (p
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