Skip to Main Content (Press Enter)

Logo UNIPV
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture

UNIFIND
Logo UNIPV

|

UNIFIND

unipv.it
  • ×
  • Home
  • Corsi
  • Insegnamenti
  • Professioni
  • Persone
  • Pubblicazioni
  • Strutture
  1. Pubblicazioni

Quantitative magnetic resonance imaging towards clinical application in multiple sclerosis

Articolo
Data di Pubblicazione:
2021
Abstract:
Quantitative MRI provides biophysical measures of the microstructural integrity of the CNS, which can be compared across CNS regions, patients, and centres. In patients with multiple sclerosis, quantitative MRI techniques such as relaxometry, myelin imaging, magnetization transfer, diffusion MRI, quantitative susceptibility mapping, and perfusion MRI, complement conventional MRI techniques by providing insight into disease mechanisms. These include: (i) presence and extent of diffuse damage in CNS tissue outside lesions (normal-appearing tissue); (ii) heterogeneity of damage and repair in focal lesions; and (iii) specific damage to CNS tissue components. This review summarizes recent technical advances in quantitative MRI, existing pathological validation of quantitative MRI techniques, and emerging applications of quantitative MRI to patients with multiple sclerosis in both research and clinical settings. The current level of clinical maturity of each quantitative MRI technique, especially regarding its integration into clinical routine, is discussed. We aim to provide a better understanding of how quantitative MRI may help clinical practice by improving stratification of patients with multiple sclerosis, and assessment of disease progression, and evaluation of treatment response.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
imaging; multiple sclerosis; quantitative MRI
Elenco autori:
Granziera, C.; Wuerfel, J.; Barkhof, F.; Calabrese, M.; De Stefano, N.; Enzinger, C.; Evangelou, N.; Filippi, M.; Geurts, J. J. G.; Reich, D. S.; Rocca, M. A.; Ropele, S.; Rovira, A.; Sati, P.; Toosy, A. T.; Vrenken, H.; Gandini, Claudia; Kappos, L.
Autori di Ateneo:
GANDINI CLAUDIA
Link alla scheda completa:
https://iris.unipv.it/handle/11571/1516133
Pubblicato in:
BRAIN
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.1.0