Faculty Collaboration Database

Effects of perfusion on diffusion changes in human brain tumors. J Magn Reson Imaging 2013 Oct;38(4):868-75

Date

02/08/2013

Pubmed ID

23389889

Pubmed Central ID

PMC3735792

DOI

10.1002/jmri.24042

Scopus ID

2-s2.0-84886901290 (requires institutional sign-in at Scopus site)   6 Citations

Abstract

PURPOSE: To characterize the influence of perfusion on the measurement of diffusion changes over time when ADC is computed using standard two-point methods.

MATERIALS AND METHODS: Functional diffusion maps (FDMs), which depict changes in diffusion over time, were compared with rCBV changes in patients with brain tumors. The FDMs were created by coregistering and subtracting ADC maps from two time points and categorizing voxels where ADC significantly increased (iADC), decreased (dADC), or did not change (ncADC). Traditional FDMs (tFDMs) were computed using b = 0,1000 s/mm(2). Flow-compensated FDMs (fcFDMs) were calculated using b = 500,1000 s/mm(2). Perfusion's influence on FDMs was determined by evaluating changes in rCBV in areas where the ADC change significantly differed between the two FDMs.

RESULTS: The mean ΔrCBV in voxels that changed from iADC (dADC) on the tFDM to ncADC on the fcFDM was significantly greater (less) than zero. In addition, mean ΔrCBV in iADC (dADC) voxels on the tFDM was significantly higher (lower) than in iADC (dADC) voxels on the fcFDM.

CONCLUSION: The ability to accurately identify changes in diffusion on traditional FDMs is confounded in areas where perfusion and diffusion changes are colocalized. Flow-compensated FDMs, which use only non-zero b-values, should therefore be the standard approach.

Author List

Cohen AD, LaViolette PS, Prah M, Connelly J, Malkin MG, Rand SD, Mueller WM, Schmainda KM

Authors

Jennifer M. Connelly MD Professor in the Neurology department at Medical College of Wisconsin
Peter LaViolette PhD Professor in the Radiology department at Medical College of Wisconsin
Wade M. Mueller MD Professor in the Neurosurgery department at Medical College of Wisconsin
Kathleen M. Schmainda PhD Professor in the Biophysics department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Algorithms
Astrocytoma
Brain Neoplasms
Diffusion Magnetic Resonance Imaging
Female
Glioblastoma
Glioma
Humans
Image Processing, Computer-Assisted
Male
Meningioma
Oligodendroglioma
Perfusion
Reproducibility of Results
Retrospective Studies