Detection of White Matter Ultrastructural Changes for Amyotrophic Lateral Sclerosis Characterization: A Diagnostic Study from Dti-Derived Data.
Fabiola De MarchiAlessandro SteccoZeno FalaschiFrancesco FilipponeAlessio PaschèAlen BebetiMassimiliano LeighebRoberto CantelloLetizia MazziniPublished in: Brain sciences (2020)
In amyotrophic lateral sclerosis (ALS), magnetic resonance imaging (MRI) allows investigation at the microstructural level, employing techniques able to reveal white matter changes. In the current study, a diffusion tensor imaging (DTI) analysis, with a collection of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) indexes, was performed in ALS patients to correlate geno- and phenotype features with MRI data, to investigate an in-vivo correlation of different neuropathological patterns. All patients who underwent the MR-DTI analysis were retrospectively recruited. MRI scan was collected within three months from diagnosis. FA and ADC values were collected in corpus callosum (CC), corona radiata (CR), cerebral peduncle (CR), cerebellar peduncle (CbP) and corticospinal tract at posterior limb of internal capsule (CST). DTI analysis performed in the whole ALS cohort revealed significant FA reduction and ADC increase in all selected regions, as widespread changes. Moreover, we observed a higher value of FA in rCR in bulbar patients. A positive correlation between ALS Functional Rating Scale-Revised and FA in rCP was evident. In consideration of the non-invasiveness, the reliability and the easy reproducibility of the method, we believe that brain MRI with DTI analyses may represent a valid tool usable as a diagnostic marker in ALS.
Keyphrases
- white matter
- magnetic resonance imaging
- amyotrophic lateral sclerosis
- diffusion weighted imaging
- contrast enhanced
- end stage renal disease
- ejection fraction
- chronic kidney disease
- newly diagnosed
- multiple sclerosis
- computed tomography
- prognostic factors
- diffusion weighted
- patient reported outcomes
- dna methylation
- gene expression
- electronic health record
- transcranial magnetic stimulation
- patient reported
- high frequency