English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Purpose   To investigate the potential of diffusion and perfusion indices (ADC and perfusion fraction  f ) from DWI at 3.0 T in monitoring treatment response to uterine artery embolization (UAE) at 6-month follow-up.Methods   Twelve female patients with uterine fibroids who underwent 3.0-T pelvic DWI before and 6 months after UAE were included. ADC and perfusion fraction  f  were calculated from DWI. The Wilcoxon signed-rank test and Spearman rank correlation test were used for statistics.Results   Seventeen fibroids were studied. The median ADCs showed a significant increase from 1.20 × 10 −3  mm 2 /s (range, 0.86–1.66 × 10 −3  mm 2 /s) at baseline to 1.56 × 10 −3  mm 2 /s (range, 1.00–1.86 × 10 −3  mm 2 /s) at 6-month follow-up ( P  = 0.0003). Conversely, the median perfusion fraction  f  was significantly decreased after UAE ( P  = 0.0001), with a median pre-UAE value of 14.2% (range, 6.7%–17.6%) and a median post-UAE value of 9.2% (range, 3.2%–14.6%). Significant correlations were found between fibroid volume reduction rate and percentage changes in ADC and perfusion fraction  f  at 6-month follow-up relative to baseline, with  ρ  values of −0.50 ( P  = 0.04) and 0.55 ( P  = 0.02), respectively.Conclusion   ADC and perfusion fraction  f  obtained from DWI at 3.0 T may help to evaluate treatment response to UAE.

Monitoring Leiomyoma Response to Uterine Artery Embolization Using Diffusion and Perfusion Indices from Diffusion-Weighted Imaging