Author Of 1 Presentation
P0653 - The value of grey matter microglial activation measurement by TSPO-PET in predicting clinical disease progression in multiple sclerosis (ID 1431)
Abstract
Background
Conventional MRI has limitations when it comes to characterizing the grey matter pathology of MS. PET (positron emission tomography) imaging, on the other hand, can provide more precise information at the cellular level. [11C]PK11195 is a first generation translocator protein (TSPO) radioligand that has been used to study innate immune cell activation status in multiple sclerosis brain in vivo.
Objectives
Our aim was to analyse the MRI volumes and [11C]PK11195 signal of MS brain grey matter regions and to investigate how these variables connect with disability progression.
Methods
MRI (3 or 1.5 tesla) and [11C]PK11195 PET data from 71 MS patients and 18 healthy controls were examined for regional grey matter BPF (brain parenchymal fraction) and [11C]PK11195 DVR (distribution volume ratio). The following regions of interest were chosen: cerebral cortex, thalamus, caudate, putamen and pallidum. EDSS (Expanded Disability Status Scale) was available at baseline and after 3.4 ± 1.1 (mean ± SD) years of follow-up. The imaging variables were compared between MS patients and healthy controls, and forward type stepwise logistic regression was used to assess the best variables predicting disease progression.
Results
MS patients had lower BPF in the cortex, thalamus and caudate (P < 0.05) compared to controls. MS patients had higher [11C]PK11195 DVR in the thalamus and pallidum (P = 0.01 and P = 0.0099 respectively) compared to controls. Patients with EDSS progression (EDSS increase ≥ 1.0 at follow-up; or ≥ 0.5, if EDSS at baseline was ≥ 6.0) had lower BPF in the thalamus and caudate (P = 0.045 and P = 0.034 respectively) and higher DVR in the thalamus (P = 0.014) compared to patients with no EDSS progression. In the forward type stepwise logistic regression model DVR in the thalamus was the only measured imaging variable that remained a significant predictor of disease progression.
Conclusions
There are regional differences in [11C]PK11195 binding and atrophy in grey matter areas of the MS brain. [11C]PK11195 signal in the thalamus seems to have potential in predicting future MS disease course.
Presenter Of 1 Presentation
P0653 - The value of grey matter microglial activation measurement by TSPO-PET in predicting clinical disease progression in multiple sclerosis (ID 1431)
Abstract
Background
Conventional MRI has limitations when it comes to characterizing the grey matter pathology of MS. PET (positron emission tomography) imaging, on the other hand, can provide more precise information at the cellular level. [11C]PK11195 is a first generation translocator protein (TSPO) radioligand that has been used to study innate immune cell activation status in multiple sclerosis brain in vivo.
Objectives
Our aim was to analyse the MRI volumes and [11C]PK11195 signal of MS brain grey matter regions and to investigate how these variables connect with disability progression.
Methods
MRI (3 or 1.5 tesla) and [11C]PK11195 PET data from 71 MS patients and 18 healthy controls were examined for regional grey matter BPF (brain parenchymal fraction) and [11C]PK11195 DVR (distribution volume ratio). The following regions of interest were chosen: cerebral cortex, thalamus, caudate, putamen and pallidum. EDSS (Expanded Disability Status Scale) was available at baseline and after 3.4 ± 1.1 (mean ± SD) years of follow-up. The imaging variables were compared between MS patients and healthy controls, and forward type stepwise logistic regression was used to assess the best variables predicting disease progression.
Results
MS patients had lower BPF in the cortex, thalamus and caudate (P < 0.05) compared to controls. MS patients had higher [11C]PK11195 DVR in the thalamus and pallidum (P = 0.01 and P = 0.0099 respectively) compared to controls. Patients with EDSS progression (EDSS increase ≥ 1.0 at follow-up; or ≥ 0.5, if EDSS at baseline was ≥ 6.0) had lower BPF in the thalamus and caudate (P = 0.045 and P = 0.034 respectively) and higher DVR in the thalamus (P = 0.014) compared to patients with no EDSS progression. In the forward type stepwise logistic regression model DVR in the thalamus was the only measured imaging variable that remained a significant predictor of disease progression.
Conclusions
There are regional differences in [11C]PK11195 binding and atrophy in grey matter areas of the MS brain. [11C]PK11195 signal in the thalamus seems to have potential in predicting future MS disease course.