Uterine artery embolization for uterine fibroids: predictive MRI features of volumetric response

The aim of this study was to investigate whether initial fibroid volume, FIGO classifi cation, signal intensity ratio (SIR) on T2-weighted magnetic resonance images (MRI) and the number of fi broids aff ect the outcome of Uterine Artery Embolization (UAE) as well as report of 6-year single-center experience with UAE procedures. Medical history, UAE and MRI examinations from 75 patients from the Sestre milosrdnice University Hospital Centre who underwent UAE between 2017 and 2023 were reviewed retrospectively. Results showed a negative correlation between baseline fi broid volume and volume reduction of the fi broid, with larger fi broids showing smaller volume reduction (p < 0.001). There was a statistically significant diff erence between FIGO classification groups and volume reduction of the fibroids. Submucosal fi broids showed the best volume reduction compared to hybrid fi broids and subserosal fibroids. There was no signifi cant diff erence between hybrid and subserosal fi broids in volume reduction. We found no correlation between MRI SIR and the number of fibroids on UAE procedure outcomes. The present study suggests that submucosal fibroids and smaller baseline fibroid volume could be related to greater volume reduction and may be a useful prognostic factor for UAE procedure success. In conclusion, this study confi rms that UAE is a safe and effective procedure for the treatment of uterine fibroids

Authors

Institutions

Publication Details

Journal
Libri Oncologici Croatian Journal of Oncology
Published
2024-09-16
DOI
https://doi.org/10.20471/lo.2024.52.01.02
Primary Topic
Uterine Myomas and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uterine artery embolization for uterine fibroids: predictive MRI features of volumetric response

Luka Novosel, Hrvojka Soljačić-Vraneš, Krunoslav Kuna, Alen Gabrić et al.
Libri Oncologici Croatian Journal of Oncology
Uterine Myomas and Treatments
article

Uterine artery embolization for uterine fibroids: predictive MRI features of volumetric response

Luka Novosel, Hrvojka Soljačić-Vraneš, Krunoslav Kuna, Alen Gabrić, Ivica Sijekavica
article en

Abstract

The aim of this study was to investigate whether initial fibroid volume, FIGO classifi cation, signal intensity ratio (SIR) on T2-weighted magnetic resonance images (MRI) and the number of fi broids aff ect the outcome of Uterine Artery Embolization (UAE) as well as report of 6-year single-center experience with UAE procedures. Medical history, UAE and MRI examinations from 75 patients from the Sestre milosrdnice University Hospital Centre who underwent UAE between 2017 and 2023 were reviewed retrospectively. Results showed a negative correlation between baseline fi broid volume and volume reduction of the fi broid, with larger fi broids showing smaller volume reduction (p < 0.001). There was a statistically significant diff erence between FIGO classification groups and volume reduction of the fibroids. Submucosal fi broids showed the best volume reduction compared to hybrid fi broids and subserosal fibroids. There was no signifi cant diff erence between hybrid and subserosal fi broids in volume reduction. We found no correlation between MRI SIR and the number of fibroids on UAE procedure outcomes. The present study suggests that submucosal fibroids and smaller baseline fibroid volume could be related to greater volume reduction and may be a useful prognostic factor for UAE procedure success. In conclusion, this study confi rms that UAE is a safe and effective procedure for the treatment of uterine fibroids

Libri Oncologici Croatian Journal of OncologyVol. 52(1)
University Hospital Centre Zagreb (HR), University of Zagreb (HR), Sisters of Charity Hospital (HR)
Zero hunger
Openalex Percentile: Top 72%
Uterine Myomas and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.