Statistical analysis of multi-b factor diffusion weighted images can help distinguish between vasogenic and tumor-infiltrated edema.

Details

Serval ID
serval:BIB_92CDEDADEE50
Type
Article: article from journal or magazin.
Collection
Publications
Title
Statistical analysis of multi-b factor diffusion weighted images can help distinguish between vasogenic and tumor-infiltrated edema.
Journal
Journal of magnetic resonance imaging : JMRI
Author(s)
Vandendries C., Ducreux D., Lacroix C., Ducot B., Saliou G.
ISSN
1522-2586 (Electronic)
ISSN-L
1053-1807
Publication state
Published
Issued date
09/2014
Peer-reviewed
Oui
Volume
40
Number
3
Pages
622-629
Language
english
Notes
Vandendries, Christophe
Ducreux, Denis
Lacroix, Catherine
Ducot, Beatrice
Saliou, Guillaume
eng
2014/01/08 06:00
J Magn Reson Imaging. 2014 Sep;40(3):622-9. doi: 10.1002/jmri.24399. Epub 2013 Nov 4.
Publication types: Journal Article
Publication Status: ppublish
Abstract
The diffusion model can be transformed into a multicompartment model by means of multi-b factor diffusion-weighted sequences. We adapted a method of statistical analysis of these images and evaluated its performance to distinguish tumor-infiltrated edema from vasogenic edema.
Forty-nine patients with infiltrating tumors (38 patients: low to high-grade gliomas) or vasogenic edema (11 patients: metastases, abscess, extra-axial lesions) were studied by multi-b factor diffusion-weighted imaging. Comparison of histological results and morphological and perfusion MRI defined 69 characteristic volumes of interest in the peritumoral edema of 69 distinct infiltrating lesions (40) or lesions inducing vasogenic edema (29).
The factorial analysis had a sensitivity of 92.9% and a specificity of 90.6% between tumor-infiltrated and vasogenic edema. Simplified interpretation confined to values of the high and mean diffusivity compartments had a sensitivity of 87.5% and a specificity of 89.2% between strictly tumor-infiltrated edema and vasogenic edema with the advantage of simplified interpretation based on two-color parametric mapping.
Discrimination between tumor-infiltrated edema and vasogenic edema can be achieved by means of a 90-s multi-b factor diffusion-weighted sequence and factorial analysis. Simplified visual and quantitative interpretation of the results should also allow integration of multi-b factor analysis into routine neuroradiology practice.

Keywords
Adolescent, Adult, Aged, Aged, 80 and over, Algorithms, Brain Edema/pathology, Brain Neoplasms/pathology, Contrast Media, Data Interpretation, Statistical, Diffusion Magnetic Resonance Imaging/methods, Female, Glioma, Humans, Image Interpretation, Computer-Assisted/methods, Male, Meglumine, Middle Aged, Neoplasm Grading, Organometallic Compounds, Sensitivity and Specificity
Pubmed
Create date
20/01/2017 16:30
Last modification date
20/08/2019 15:55
Usage data