Back to Search Start Over

Effects of Multi-Shell Free Water Correction on Glioma Characterization

Authors :
Lea Starck
Fulvio Zaccagna
Ofer Pasternak
Ferdia A. Gallagher
Renate Grüner
Frank Riemer
Source :
Diagnostics, Vol 11, Iss 12, p 2385 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Diffusion MRI is a useful tool to investigate the microstructure of brain tumors. However, the presence of fast diffusing isotropic signals originating from non-restricted edematous fluids, within and surrounding tumors, may obscure estimation of the underlying tissue characteristics, complicating the radiological interpretation and quantitative evaluation of diffusion MRI. A multi-shell regularized free water (FW) elimination model was therefore applied to separate free water from tissue-related diffusion components from the diffusion MRI of 26 treatment-naïve glioma patients. We then investigated the diagnostic value of the derived measures of FW maps as well as FW-corrected tensor-derived maps of fractional anisotropy (FA). Presumed necrotic tumor regions display greater mean and variance of FW content than other parts of the tumor. On average, the area under the receiver operating characteristic (ROC) for the classification of necrotic and enhancing tumor volumes increased by 5% in corrected data compared to non-corrected data. FW elimination shifts the FA distribution in non-enhancing tumor parts toward higher values and significantly increases its entropy (p ≤ 0.003), whereas skewness is decreased (p ≤ 0.004). Kurtosis is significantly decreased (p < 0.001) in high-grade tumors. In conclusion, eliminating FW contributions improved quantitative estimations of FA, which helps to disentangle the cancer heterogeneity.

Details

Language :
English
ISSN :
20754418
Volume :
11
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.369cd0db27ca4120b4a050aa8cd11f98
Document Type :
article
Full Text :
https://doi.org/10.3390/diagnostics11122385