Literature DB >> 28293740

The Italian Neuroimaging Network Initiative (INNI): enabling the use of advanced MRI techniques in patients with MS.

M Filippi1,2, G Tedeschi3,4, P Pantano5,6, N De Stefano7, P Zaratin8, M A Rocca9,10.   

Abstract

Magnetic resonance imaging (MRI) is an important paraclinical tool to diagnose and monitor multiple sclerosis (MS). Conventional MRI measures lack of pathological specificity and are weakly correlated with MS clinical manifestations. Advanced MRI techniques are improving the understanding of the mechanisms underlying tissue injury, repair, and functional adaptation in MS; however, they require careful standardization. The definition of standardized methods for the collection and analysis of advanced MRI techniques is central not only to improve the understanding of disease pathophysiology and evolution, but also to generate research hypotheses, monitor treatment, increase cost-effectiveness and power of clinical trials. We promoted the Italian Neuroimaging Network Initiative (INNI), involving centers and investigators with an International recognized expertise, with the major goal to determine and validate novel MRI biomarkers to be utilized as predictors and/or outcomes in future MS studies. The INNI initiative supported the creation of a centralized repository, where advanced structural and functional MRI scans available at the participating sites, with the related clinical and neuropsychological data, are collected. These data will be used to perform research studies to identify clinical, neuropsychological and imaging biomarkers characteristics of the entire spectrum of MS. INNI will be instrumental to help to define standardized MRI and clinical protocols towards an increasing uptake of personalized interventions for people with MS at a national and international level. Upon approval of the INNI Steering Committee, the data collected in the online database will be shared with any research center detailing specific research proposals on disease pathophysiology or treatment effects.

Entities:  

Keywords:  Advanced MRI techniques; Data sharing; Magnetic resonance imaging; Multiple sclerosis; Network

Mesh:

Year:  2017        PMID: 28293740     DOI: 10.1007/s10072-017-2903-z

Source DB:  PubMed          Journal:  Neurol Sci        ISSN: 1590-1874            Impact factor:   3.307


  22 in total

Review 1.  Nonconventional MRI and microstructural cerebral changes in multiple sclerosis.

Authors:  Christian Enzinger; Frederik Barkhof; Olga Ciccarelli; Massimo Filippi; Ludwig Kappos; Maria A Rocca; Stefan Ropele; Àlex Rovira; Torben Schneider; Nicola de Stefano; Hugo Vrenken; Claudia Wheeler-Kingshott; Jens Wuerfel; Franz Fazekas
Journal:  Nat Rev Neurol       Date:  2015-11-03       Impact factor: 42.937

2.  Optimal imaging parameters for fiber-orientation estimation in diffusion MRI.

Authors:  Daniel C Alexander; Gareth J Barker
Journal:  Neuroimage       Date:  2005-08-15       Impact factor: 6.556

3.  Standardized MR imaging protocol for multiple sclerosis: Consortium of MS Centers consensus guidelines.

Authors:  J H Simon; D Li; A Traboulsee; P K Coyle; D L Arnold; F Barkhof; J A Frank; R Grossman; D W Paty; E W Radue; J S Wolinsky
Journal:  AJNR Am J Neuroradiol       Date:  2006-02       Impact factor: 3.825

4.  Gray matter atrophy in multiple sclerosis: a longitudinal study.

Authors:  Elizabeth Fisher; Jar-Chi Lee; Kunio Nakamura; Richard A Rudick
Journal:  Ann Neurol       Date:  2008-09       Impact factor: 10.422

5.  A health-related quality of life measure for multiple sclerosis.

Authors:  B G Vickrey; R D Hays; R Harooni; L W Myers; G W Ellison
Journal:  Qual Life Res       Date:  1995-06       Impact factor: 4.147

6.  Italian version of the Chicago multiscale depression inventory: translation, adaptation and testing in people with multiple sclerosis.

Authors:  A Solari; A Motta; L Mendozzi; P Aridon; R Bergamaschi; A Ghezzi; G L Mancardi; C Milanese; E Montanari; E Pucci
Journal:  Neurol Sci       Date:  2004-02       Impact factor: 3.307

7.  Measuring the functional impact of fatigue: initial validation of the fatigue impact scale.

Authors:  J D Fisk; P G Ritvo; L Ross; D A Haase; T J Marrie; W F Schlech
Journal:  Clin Infect Dis       Date:  1994-01       Impact factor: 9.079

8.  Association of neocortical volume changes with cognitive deterioration in relapsing-remitting multiple sclerosis.

Authors:  Maria Pia Amato; Emilio Portaccio; Benedetta Goretti; Valentina Zipoli; Marco Battaglini; Maria Letizia Bartolozzi; Maria Laura Stromillo; Leonello Guidi; Gianfranco Siracusa; Sandro Sorbi; Antonio Federico; Nicola De Stefano
Journal:  Arch Neurol       Date:  2007-08

Review 9.  Brain atrophy assessment in multiple sclerosis: importance and limitations.

Authors:  Antonio Giorgio; Marco Battaglini; Stephen M Smith; Nicola De Stefano
Journal:  Neuroimaging Clin N Am       Date:  2008-11       Impact factor: 2.264

10.  Recommended diagnostic criteria for multiple sclerosis: guidelines from the International Panel on the diagnosis of multiple sclerosis.

Authors:  W I McDonald; A Compston; G Edan; D Goodkin; H P Hartung; F D Lublin; H F McFarland; D W Paty; C H Polman; S C Reingold; M Sandberg-Wollheim; W Sibley; A Thompson; S van den Noort; B Y Weinshenker; J S Wolinsky
Journal:  Ann Neurol       Date:  2001-07       Impact factor: 10.422

View more
  5 in total

1.  MRI quality control for the Italian Neuroimaging Network Initiative: moving towards big data in multiple sclerosis.

Authors:  Loredana Storelli; Maria A Rocca; Patrizia Pantano; Elisabetta Pagani; Nicola De Stefano; Gioacchino Tedeschi; Paola Zaratin; Massimo Filippi
Journal:  J Neurol       Date:  2019-08-17       Impact factor: 4.849

2.  News on the journal Neurological Sciences in 2017.

Authors:  Ilaria Di Donato; Antonio Federico
Journal:  Neurol Sci       Date:  2018-01       Impact factor: 3.307

Review 3.  An "all-wheel drive" proposal to accelerate clinical research in common and rare neurological diseases.

Authors:  Marco Salvetti; Mario A Battaglia; Massimiliano Di Filippo; Gian Luigi Mancardi; Michelangelo Mancuso; Francesco Patti; Maria Pia Sormani; Paola Zaratin
Journal:  Neurol Sci       Date:  2019-12-19       Impact factor: 3.307

4.  Relation of sensorimotor and cognitive cerebellum functional connectivity with brain structural damage in patients with multiple sclerosis and no disability.

Authors:  Silvia Tommasin; Viktoriia Iakovleva; Maria Assunta Rocca; Costanza Giannì; Gioacchino Tedeschi; Nicola De Stefano; Carlo Pozzilli; Massimo Filippi; Patrizia Pantano
Journal:  Eur J Neurol       Date:  2022-04-04       Impact factor: 6.288

Review 5.  Opportunities for Understanding MS Mechanisms and Progression With MRI Using Large-Scale Data Sharing and Artificial Intelligence.

Authors:  Hugo Vrenken; Mark Jenkinson; Dzung L Pham; Charles R G Guttmann; Deborah Pareto; Michel Paardekooper; Alexandra de Sitter; Maria A Rocca; Viktor Wottschel; M Jorge Cardoso; Frederik Barkhof
Journal:  Neurology       Date:  2021-10-04       Impact factor: 9.910

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.