Universität zu Köln

Verpalen, Inez M., Anneveldt, Kimberley J., Vos, Pieter C., Edens, Mireille A., Heijman, Edwin, Nijholt, Ingrid M., Dijkstra, Jeroen R., Schutte, Joke M., Franx, Arie, Bartels, Lambertus W., Moonen, Chrit T. W. and Boomsma, Martijn F. (2020). Use of multiparametric MRI to characterize uterine fibroid tissue types. Magn. Reson. Mat. Phys. Biol. Med., 33 (5). S. 689 - 701. NEW YORK: SPRINGER. ISSN 1352-8661

Full text not available from this repository.

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, contrast-enhanced 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 < 0.001) and high b-values (p < 0.001) were found. Significant differences between Funaki type 3 versus type 1 and 2 were observed in SSI (p < 0.001) and T2-values (p < 0.001). Significant correlations were found between SSI and T2-mapping (p < 0.001; rho(s) = 0.82), ADC all b-values (p = 0.004; rho(s) = 0.31), ADC high b-values (p < 0.001; rho(s) = 0.44) and long-TE ADC low b-values (p = 0.004; rho(s) = 0.31). Conclusions Quantitative MR-data allowed us to distinguish UF tissue from myometrium and to discriminate different UF tissue types and may, therefore, be a useful tool to predict treatment outcome/determine optimal treatment modality.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Verpalen, Inez M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Anneveldt, Kimberley J. UNSPECIFIED UNSPECIFIED UNSPECIFIED Vos, Pieter C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Edens, Mireille A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Heijman, Edwin UNSPECIFIED UNSPECIFIED UNSPECIFIED Nijholt, Ingrid M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Dijkstra, Jeroen R. UNSPECIFIED UNSPECIFIED UNSPECIFIED Schutte, Joke M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Franx, Arie UNSPECIFIED UNSPECIFIED UNSPECIFIED Bartels, Lambertus W. UNSPECIFIED UNSPECIFIED UNSPECIFIED Moonen, Chrit T. W. UNSPECIFIED UNSPECIFIED UNSPECIFIED Boomsma, Martijn F. UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-340245
DOI:	10.1007/s10334-020-00841-9
Journal or Publication Title:	Magn. Reson. Mat. Phys. Biol. Med.
Volume:	33
Number:	5
Page Range:	S. 689 - 701
Date:	2020
Publisher:	SPRINGER
Place of Publication:	NEW YORK
ISSN:	1352-8661
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language FOCUSED ULTRASOUND SURGERY; SCALED SIGNAL INTENSITY; ABLATION; OUTCOMES Multiple languages Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/34024