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Neurite dispersion: a new marker of multiple sclerosis spinal cord pathology?
Grussu, Francesco; Schneider, Torben; Tur, Carmen; Yates, Richard L; Tachrount, Mohamed; Ianus, Andrada; Yiannakas, Marios C; Newcombe, Jia; Zhang, Hui; Alexander, Daniel C; DeLuca, Gabriele C; Gandini Wheeler-Kingshott, Claudia A M.
Affiliation
  • Grussu F; NMR Research Unit Department of Neuroinflammation Queen Square MS Centre UCL Institute of Neurology University College London London United Kingdom.
  • Schneider T; Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom.
  • Tur C; NMR Research Unit Department of Neuroinflammation Queen Square MS Centre UCL Institute of Neurology University College London London United Kingdom.
  • Yates RL; Philips UK Guildford Surrey United Kingdom.
  • Tachrount M; NMR Research Unit Department of Neuroinflammation Queen Square MS Centre UCL Institute of Neurology University College London London United Kingdom.
  • Ianus A; Nuffield Department of Clinical Neurosciences University of Oxford Oxford United Kingdom.
  • Yiannakas MC; Department of Brain Repair and Rehabilitation UCL Institute of Neurology University College London London United Kingdom.
  • Newcombe J; Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom.
  • Zhang H; NMR Research Unit Department of Neuroinflammation Queen Square MS Centre UCL Institute of Neurology University College London London United Kingdom.
  • Alexander DC; Neuro Resource UCL Institute of Neurology University College London London United Kingdom.
  • DeLuca GC; Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom.
  • Gandini Wheeler-Kingshott CAM; Centre for Medical Image Computing Department of Computer Science University College London London United Kingdom.
Ann Clin Transl Neurol ; 4(9): 663-679, 2017 09.
Article in En | MEDLINE | ID: mdl-28904988
ABSTRACT

OBJECTIVE:

Conventional magnetic resonance imaging (MRI) of the multiple sclerosis spinal cord is limited by low specificity regarding the underlying pathological processes, and new MRI metrics assessing microscopic damage are required. We aim to show for the first time that neurite orientation dispersion (i.e., variability in axon/dendrite orientations) is a new biomarker that uncovers previously undetected layers of complexity of multiple sclerosis spinal cord pathology. Also, we validate against histology a clinically viable MRI technique for dispersion measurement (neurite orientation dispersion and density imaging, NODDI), to demonstrate the strong potential of the new marker.

METHODS:

We related quantitative metrics from histology and MRI in four post mortem spinal cord specimens (two controls; two progressive multiple sclerosis cases). The samples were scanned at high field, obtaining maps of neurite density and orientation dispersion from NODDI and routine diffusion tensor imaging (DTI) indices. Histological procedures provided markers of astrocyte, microglia, myelin and neurofilament density, as well as neurite dispersion.

RESULTS:

We report from both NODDI and histology a trend toward lower neurite dispersion in demyelinated lesions, indicative of reduced neurite architecture complexity. Also, we provide unequivocal evidence that NODDI-derived dispersion matches its histological counterpart (P < 0.001), while DTI metrics are less specific and influenced by several biophysical substrates.

INTERPRETATION:

Neurite orientation dispersion detects a previously undescribed and potentially relevant layer of microstructural complexity of multiple sclerosis spinal cord pathology. Clinically feasible techniques such as NODDI may play a key role in clinical trial and practice settings, as they provide histologically meaningful dispersion indices.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials Language: En Journal: Ann Clin Transl Neurol Year: 2017 Type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Clinical_trials Language: En Journal: Ann Clin Transl Neurol Year: 2017 Type: Article