Amalie Chen1,2, Sijin Wen3, Dhairya A Lakhani1,4, Si Gao3, Keejin Yoon1,5, Seth A Smith6, Richard Dortch6,7, Junzhong Xu6, Francesca Bagnato1,8. 1. Neuroimaging Unit, Neuroimmunology Division, Department of Neurology, Vanderbilt University Medical Center (VUMC), Nashville, Tennessee, USA. 2. Neurology Residency, Brigham and Women's Hospital, Massachusetts General Hospital, Boston, Massachusetts, USA. 3. Department of Biostatistics, West Virginia University, Morgantown, West Virginia, USA. 4. Department of Radiology, West Virginia University, Morgantown, West Virginia, USA. 5. Vanderbilt University College of Arts and Science, Nashville, Tennessee, USA. 6. Vanderbilt University Institute of Imaging Sciences, Department of Radiology and Radiological Sciences, VUMC, Nashville, Tennessee, USA. 7. Division of Neuroimaging Research, Barrow Neurological Institute, Phoenix, Arizona, USA. 8. Department of Neurology, VA Hospital, TN Valley Healthcare System (TVHS) Nashville, Tennessee, USA.
Abstract
BACKGROUND AND PURPOSE: Axonal injury is a key player of disability in persons with multiple sclerosis (pwMS). Yet, detecting and measuring it in vivo is challenging. The neurite orientation dispersion and density imaging (NODDI) proposes a novel framework for probing axonal integrity in vivo. NODDI at 3.0 Tesla was used to quantify tissue damage in pwMS and its relationship with disease progression. METHODS: Eighteen pwMS (4 clinically isolated syndrome, 11 relapsing remitting, and 3 secondary progressive MS) and nine age- and sex-matched healthy controls underwent a brain MRI, inclusive of clinical sequences and a multi-shell diffusion acquisition. Parametric maps of axial diffusivity (AD), neurite density index (ndi), apparent isotropic volume fraction (ivf), and orientation dispersion index (odi) were fitted. Anatomically matched regions of interest were used to quantify AD and NODDI-derived metrics and to assess the relations between these measures and those of disease progression. RESULTS: AD, ndi, ivf, and odi significantly differed between chronic black holes (cBHs) and T2-lesions, and between the latter and normal appearing white matter (NAWM). All metrics except ivf significantly differed between NAWM located next to a cBH and that situated contra-laterally. Only NAWM odi was significantly associated with T2-lesion volume, the timed 25-foot walk test and disease duration. CONCLUSIONS: NODDI is sensitive to tissue injury but its relationship with clinical progression remains limited.
BACKGROUND AND PURPOSE: Axonal injury is a key player of disability in persons with multiple sclerosis (pwMS). Yet, detecting and measuring it in vivo is challenging. The neurite orientation dispersion and density imaging (NODDI) proposes a novel framework for probing axonal integrity in vivo. NODDI at 3.0 Tesla was used to quantify tissue damage in pwMS and its relationship with disease progression. METHODS: Eighteen pwMS (4 clinically isolated syndrome, 11 relapsing remitting, and 3 secondary progressive MS) and nine age- and sex-matched healthy controls underwent a brain MRI, inclusive of clinical sequences and a multi-shell diffusion acquisition. Parametric maps of axial diffusivity (AD), neurite density index (ndi), apparent isotropic volume fraction (ivf), and orientation dispersion index (odi) were fitted. Anatomically matched regions of interest were used to quantify AD and NODDI-derived metrics and to assess the relations between these measures and those of disease progression. RESULTS: AD, ndi, ivf, and odi significantly differed between chronic black holes (cBHs) and T2-lesions, and between the latter and normal appearing white matter (NAWM). All metrics except ivf significantly differed between NAWM located next to a cBH and that situated contra-laterally. Only NAWM odi was significantly associated with T2-lesion volume, the timed 25-foot walk test and disease duration. CONCLUSIONS: NODDI is sensitive to tissue injury but its relationship with clinical progression remains limited.
Authors: Alan J Thompson; Brenda L Banwell; Frederik Barkhof; William M Carroll; Timothy Coetzee; Giancarlo Comi; Jorge Correale; Franz Fazekas; Massimo Filippi; Mark S Freedman; Kazuo Fujihara; Steven L Galetta; Hans Peter Hartung; Ludwig Kappos; Fred D Lublin; Ruth Ann Marrie; Aaron E Miller; David H Miller; Xavier Montalban; Ellen M Mowry; Per Soelberg Sorensen; Mar Tintoré; Anthony L Traboulsee; Maria Trojano; Bernard M J Uitdehaag; Sandra Vukusic; Emmanuelle Waubant; Brian G Weinshenker; Stephen C Reingold; Jeffrey A Cohen Journal: Lancet Neurol Date: 2017-12-21 Impact factor: 44.182
Authors: Sara Collorone; Niamh Cawley; Francesco Grussu; Ferran Prados; Francesca Tona; Alberto Calvi; Baris Kanber; Torben Schneider; Lucas Kipp; Hui Zhang; Daniel C Alexander; Alan J Thompson; Ahmed Toosy; Claudia Am Gandini Wheeler-Kingshott; Olga Ciccarelli Journal: Mult Scler Date: 2019-11-04 Impact factor: 6.312
Authors: Francesca Bagnato; Neal Jeffries; Nancy D Richert; Roger D Stone; Joan M Ohayon; Henry F McFarland; Joseph A Frank Journal: Brain Date: 2003-06-23 Impact factor: 13.501
Authors: Shahrukh Mallik; Rebecca S Samson; Claudia A M Wheeler-Kingshott; David H Miller Journal: J Neurol Neurosurg Psychiatry Date: 2014-04-25 Impact factor: 10.154
Authors: Sourajit M Mustafi; Jaroslaw Harezlak; Chandana Kodiweera; Jennifer S Randolph; James C Ford; Heather A Wishart; Yu-Chien Wu Journal: Neural Regen Res Date: 2019-01 Impact factor: 5.135