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Comparison of multiple sclerosis clinical subgroups using navigated spin echo diffusion-weighted imaging
A G Droogan1, C A Clark, D J Werring
1NMR Research Unit, Institute of Neurology, London, UK.
Abstract:
The apparent diffusion coefficient (ADC) of tissue provides an indication of the size, shape, and orientation of the water spaces in tissue. Thus, pathologic differences between lesions in multiple sclerosis (MS) patients with different clinical courses may be reflected by changes in ADC measurements in lesions and white matter. Twelve healthy subjects and 35 MS patients with a relapsing-remitting (n = 10), benign (n = 8), secondary progressive (n = 8) and primary progressive (n = 9) clinical course were studied. T2-weighted and post-gadolinium T1-weighted images were obtained using a 1.5 T Signa Echospeed magnetic resonance imaging (MRI) system. Diffusion-weighted imaging was implemented using a pulsed gradient spin echo (PGSE) sequence with diffusion gradients applied in turn along three orthogonal directions in order to obtain the average apparent diffusion coefficient (ADCav). Navigator echo correction and cardiac gating were used to reduce motion artifact. ADC maps were derived using a two point calculation based on the Stejskal-Tanner formula. Diffusion anisotropy was estimated using the van Gelderen formula to calculate an anisotropy index. MS lesions had a higher ADC and reduced anisotropy compared with normal appearing white matter. Highest ADC values were found in gadolinium enhancing lesions and non-enhancing hypointense lesions on T1-weighted imaging. MS white matter had a slightly higher ADC and lower anisotropy than white matter of healthy subjects. Lesion and white matter ADC values did not differ between patients with different clinical courses of MS. There was no correlation between lesion ADC and disability. Diffusion-weighted imaging with measurement of ADC using the PGSE method provides quantitative information on acute edematous MS lesions and chronic lesions associated with demyelination and axonal loss but does not distinguish between clinical subtypes of MS.
Insights
Apparent diffusion coefficient (ADC) measurements can quantify changes in multiple sclerosis (MS) lesions and white matter. However, ADC values do not differentiate between MS clinical subtypes or correlate with disability.
Area of Science:
- Neuroimaging
- Biophysics
- Neurology
Background:
- Apparent diffusion coefficient (ADC) reflects water diffusion in tissues, indicating tissue microstructure.
- Pathological changes in multiple sclerosis (MS) may alter ADC values in lesions and white matter.
- Understanding these changes is crucial for characterizing MS progression.
Purpose of the Study:
- To investigate apparent diffusion coefficient (ADC) and anisotropy in MS lesions and white matter across different clinical courses.
- To determine if ADC measurements can distinguish between MS subtypes or correlate with patient disability.
Main Methods:
- Diffusion-weighted imaging (DWI) using a pulsed gradient spin echo (PGSE) sequence was performed on 35 MS patients and 12 healthy controls.
- Average ADC (ADCav) and anisotropy index were calculated using established formulas.
- T2-weighted and post-gadolinium T1-weighted MRI sequences were acquired.
Main Results:
- MS lesions exhibited higher ADC and reduced anisotropy compared to normal-appearing white matter.
- Gadolinium-enhancing and T1-hypointense lesions showed the highest ADC values.
- MS white matter had slightly higher ADC and lower anisotropy than healthy controls.
- No significant differences in lesion or white matter ADC were found between different MS clinical courses.
- Lesion ADC did not correlate with patient disability.
Conclusions:
- Diffusion-weighted imaging with ADC measurement provides quantitative insights into MS lesions, reflecting edema, demyelination, and axonal loss.
- This technique, however, cannot differentiate between clinical subtypes of MS or predict disability.
- ADC measurements offer valuable information on the pathological state of MS lesions.