Gadolinium-based contrast agents (GBCA) are commonly used to identify blood-brain-barrier disruption. Recent studies reported gadolinium deposition in deep gray matter (GM) structures, following serial injections of linear complexes of GBCA. While it is recognized that linear complexes of GBCA may lead to gadolinium retention in brain, macrocyclic GBCA should also be evaluated. In this study, we investigated the effect of serial macrocyclic GBCA injections in 92 Multiple Sclerosis patients followed during seven years. Our results did not show any significant signal intensity changes in deep GM structures, and particularly in the dentate nuclei and the globus pallidus.
Material and Methods
Participants
Ninety-two MS patients (12 Clinical Isolated Syndrome, 30 Relapsing Remitting, 29 Secondary Progressive, and 21 Primary Progressive, mean age = 37.7 [21.0 - 50.1] years) were included in this study. Patients were first examined twice a year during 3 years and then once a year during 4 years. For each examination, patients received a macrocyclic GBCA injection (Dotarem, Guerbet). This study was approved by the local ethics committee (CPP Sud-Est IV) and the French national agency for medicine and health products safety (ANSM).
MRI Acquisitions
MS patients underwent MRI examinations at CERMEP-Imagerie du vivant on a 1.5T Siemens Sonata system (Siemens Medical Solution, Erlangen, Germany) using an 8-channel head-coil. The MR protocol consisted in the acquisition of several conventional (with and without GBCA injection) and advanced MRI sequences. For the purpose of this study we only used the un-enhanced 3D-T1 sequence (1×1×1 mm$$$^{3}$$$, TE/TR/TI = 4/2000/1100ms) oriented in the AC-PC plane.
Image Processing
Image processing consisted in six steps as illustrated in figure 1. i.) The T1w images were reoriented in the standard space using FSL. [8] ii.) Each image was corrected for B1 inhomogeneity using ANTs. [9] iii.) The first images of each patient were then used to generate a first patient-specific template using the multivariate template construction script provided in ANTs toolbox. [10] This template was used to generate a second patient-specific template based on all patient’s exams. iv.) The signal intensity of T1w images was normalized using the last template and the “histogram-matching” method included in ANTs. v.) This template was used for the segmentation procedure of deep GM structures using FSL-Anat and for the coregistration of the dentate nuclei map, available in the MNI space. [11] vi.) All brain and cerebellar GM structures were transformed to each patient image space in order to measure the T1 signal intensity.
A region of interest (ROI) was manually delineated in the semi-oval (SO) white matter and in the cerebellar peduncles (CP). Ratios of T1w signal intensity were calculated from the ROIs defined in DN compared to CP and of GP, thalamus, putamen, caudate nucleus, accumbens nucleus, hippocampus, and amygdala compared to SO.
Statistics
A repeated-measures ANOVA was applied to analyze the variation of signal intensity in different GM structures with the longitudinal GBCA injections. As the initial signal intensity may vary between patients, we included in the model a random intercept by participant. Statistical analysis was conducted in R with a significance level of 5%.
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