Evaluation of blood brain barrier permeability in Alzheimer’s disease with DCE-MRI
Rexford Newbould1, Brandon Whitcher2, Christopher Long3, Shaila Shabbir4, Paul Matthews5, Andrew Lockhart4, Craig Ritchie5, and Eugenii Ilan Rabiner1

1Imanova, London, United Kingdom, 2Klarismo, London, United Kingdom, 3MIT Sloan School of Management, Cambridge, MA, United States, 4GSK, Brentford, United Kingdom, 5Imperial College London, London, United Kingdom

Synopsis

DCE 3T MRI data acquired from 6 subjects with previous diagnoses of AD, 2 subjects with vascular dementia, and 7 healthy controls group-matched for age and gender. Radiofrequency transmit (B1) field corrected Gd concentration values were calculated via dual-temporal resolution dynamic T1 mapping during and over 45 minutes post rapid Gd infusion. The extended Tofts model was used to determine the volume and rate transfer constants of BBB permeability in 11 regions of interest. No differences were detected between groups, implying BBB leakage in AD is slower than detectable in this experiment, or that BBB permeability in AD is moderated by an active transport mechanism.

Introduction

An increase of blood proteins in the CSF is indicative of Alzheimer’s disease (AD), which may imply increased blood brain barrier (BBB) permeability, either through impaired active transport or vessel leakage. Evidence for impairment of BBB function in AD comes studies demonstrating the presence of serum proteins such as albumin and immunoglobulin in the cerebrospinal fluid (1), though the role of the BBB remains controversial (2). Magnetic resonance imaging (MRI) is used extensively to study and diagnose AD, and the use of dynamic contrast enhanced (DCE) MRI (3) can quantify the leakage of a gadolinium (Gd) chelate contrast agent from the blood vessels into the extracellular-extravascular space (EES). Existing BBB permeability data indicates that there is evidence of an age-related deficit that is further amplified in dementia groups such as AD (4,5).

Purpose

To evaluate if vessel leakage in AD could be detected using gadolinium (Gd) chelate based dynamic contrast enhanced (DCE) MRI.

Methods

DCE 3T MRI data was acquired on a Siemens Verio (Siemens Healthcare, Erlangen Germany) using a 32-channel head coil from 6 subjects with previous diagnoses of AD, 2 subjects with vascular dementia (VaD), and 7 healthy controls (HC) group-matched for age and gender. After initial localizers, a variable flip angle FLASH acquisition used 8 RF flip angles (2°, 4°, 8°, 10°, 14°, 18°, 22°, 26°) with a resolution of 1.5x1.5x3mm3, TR=3.89ms, TE=1.2ms, BW=800Hz/pixel, and partial Fourier in both phase encoding directions. A dual temporal resolution DCE acquisition was employed using identical parameters except a flip angle of 14°, rapidly acquiring 42 volumes in the first 5 minutes of the contrast injection, and then one 4-NEX volume approximately every five minutes until at least 50 minutes had elapsed. Contrast injection was begun 15s into the acquisition, total scan time was 5m:04s. A saturated double-angle method (SDAM) sequence was used to map the transmit RF (B1) field (6). Data was acquired across five repeated alternating acquisitions at each of two flip angles, 60° and 120°. Images were averaged and smoothed with an isotropic Gaussian filter of 8mm width over the entire field of view prior to calculation of the B1 field. Structural T1, T2, FLAIR, and time-of-flight MRA scans were also acquired for radiological review to rule out other pathologies. The extended Tofts model was used after transforming B1-corrected T1 values into contrast agent concentration in order to generate Vp, Ktrans and kep maps. The T1w volume was segmented into 10 ROIs: caudate nucleus, thalamus, cerebellar white and grey, frontal cortex white and grey, corpus callosum, cerebro-spinal fluid, as well as automated definitions of global grey matter and white matter ROI. Voxels located within one internal carotid artery were used to define an input function for each scan.

Results

DCE-MRI mapping was successful in all 15 subjects, resulting in Ktrans, Vp, and kep maps of the whole brain. No inter-group effects were measured in any ROI. Analysis revealed a detectable concentration (7) range in both GM and WM of 0.006 to 3.0 mM.

Discussion

DCE-MRI did not detect passive leakage of the Gd chelate through the BBB. This implies either the leakage of the BBB is slower than the detectable limit, or that the permeability to a small (560 Dalton) molecule is not indicative of the permeability to blood proteins, perhaps due to an active transport mechanism. This experiment was designed to maximize the sensitivity towards small leakage values, but was unable to detect differences in quantified measures of BBB permeability. The VaD group was included as a positive control; the expected permeability difference may not have been detected as this group contained only 2 subjects.

Acknowledgements

No acknowledgement found.

References

1) Bowman, Aging health 2008;4(1):47-55. 2) Erickson, J Cereb Blood Flow Metab 2013;33(10):1500-1513. 3) Larsson, Magn Reson Med 1990;16(1):117-131. 4) Farrall, Neurobiol Aging 2009;30(3):337-352. 5) Starr, Psychiatry Res 2009;171(3):232-241. 6) Magn Reson Med 2006;55(6):1326-1333. 7) Schabel, Phys Med Biol 2008;53(9):2345-2373.

Figures

Figure 1. Boxplot of Ktrans to kep ratios for each ROI across all subjects in each group. Blue=AD, Black=VaD, Green=HC.

Figure 2. Concentration timecourse over 40 minutes across ROIs for a single AD subject.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
4050