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

被引:0
|
作者
M. Filippi
G. Tedeschi
P. Pantano
N. De Stefano
P. Zaratin
M. A. Rocca
机构
[1] Vita-Salute San Raffaele University,Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute
[2] Vita-Salute San Raffaele University,Department of Neurology, San Raffaele Scientific Institute
[3] MRI Center,I Division of Neurology, Department of Medical, Surgical, Neurological, Metabolic and Aging Sciences
[4] Institute of Diagnosis and Care “Hermitage-Capodimonte”,Department of Neurology and Psychiatry
[5] University of Campania “L. Vanvitelli”,Department of Medicine, Surgery and Neuroscience
[6] Sapienza University of Rome,undefined
[7] IRCCS Neuromed,undefined
[8] University of Siena,undefined
[9] Italian Multiple Sclerosis Foundation,undefined
来源
Neurological Sciences | 2017年 / 38卷
关键词
Multiple sclerosis; Magnetic resonance imaging; Advanced MRI techniques; Network; Data sharing;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:1029 / 1038
页数:9
相关论文
共 50 条
  • [21] application of advanced mri techniques in patients affected by meningioma treated with protontherapy
    Anemoni, L.
    Mascayano, I. E.
    Preda, L.
    Orlandi, E.
    Cadeo, M. S.
    Mancin, A.
    Piazzolla, M. E.
    Tampellini, S.
    RADIOTHERAPY AND ONCOLOGY, 2022, 170 : S1646 - S1647
  • [22] Use of Conventional and Advanced MRI Techniques in Accidental Pediatric Traumatic Brain Injury
    Mendoza, Dexter
    Kadom, Nadja
    Palasis, Susan
    Milla, Sarah
    Allen, Jason W.
    JOURNAL OF PEDIATRIC NEURORADIOLOGY, 2016, 5 (01) : 20 - 25
  • [23] Introduction to the Special Issue on The Use of Advanced Structural Neuroimaging Techniques in Understanding Brain-Behavior Relationships
    Wilde, Elisabeth A.
    Levin, Harvey S.
    DEVELOPMENTAL NEUROPSYCHOLOGY, 2010, 35 (03) : 231 - 232
  • [24] Individual classification of ADHD patients by integrating multiscale neuroimaging markers and advanced pattern recognition techniques
    Cheng, Wei
    Ji, Xiaoxi
    Zhang, Jie
    Feng, Jianfeng
    FRONTIERS IN SYSTEMS NEUROSCIENCE, 2012, 6
  • [25] Advanced MRI techniques: Correlation of choline and apparent diffusion coefficients in glioma patients
    Khayal, I. S.
    Crawford, F. W.
    Lamborn, K. R.
    Saraswathy, S.
    Chang, S. M.
    Cha, S.
    McKnight, T. R.
    Nelson, S. J.
    NEURO-ONCOLOGY, 2006, 8 (04) : 494 - 494
  • [26] Use of Natalizumab in Pediatric MS Patients: A Pediatric Network Experience
    Yeh, E. Ann
    Krupp, Lauren
    Kuntz, Nancy
    Ness, Jayne
    Chabas-Chanezon, Dorothee
    Chitnis, TanuJa
    Belman, Anita
    Rodriguez, Moses
    Waubant, Emmanuelle
    Gorman, Mark
    Bashir, Ehurram
    Weinstock-Guttman, Bianca
    NEUROLOGY, 2010, 74 (09) : A100 - A100
  • [28] Resting-state functional MRI in multicenter studies on multiple sclerosis: a report on raw data quality and functional connectivity features from the Italian Neuroimaging Network Initiative (vol 270, pg 1047, 2023)
    De Rosa, Alessandro Pasquale
    Esposito, Fabrizio
    Valsasina, Paola
    d'Ambrosio, Alessandro
    Bisecco, Alvino
    Rocca, Maria A.
    Tommasin, Silvia
    Marzi, Chiara
    De Stefano, Nicola
    Battaglini, Marco
    Pantano, Patrizia
    Cirillo, Mario
    Tedeschi, Gioacchino
    Filippi, Massimo
    Gallo, Antonio
    INNI Network
    JOURNAL OF NEUROLOGY, 2023, 270 (05) : 2815 - 2815
  • [29] Correlation of Findings in Advanced MRI Techniques with Global Severity Scales in Patients with Parkinson Disease
    Modrego, Pedro J.
    Fayed, Nicolas
    Artal, Jorge
    Olmos, Salvador
    ACADEMIC RADIOLOGY, 2011, 18 (02) : 235 - 241
  • [30] Correlation between functional MRI techniques and early disability in ambulatory patients with relapsing–remitting MS
    Al-Amir Bassiouny Mohamed
    Hesham Abdelghani Algahalan
    Mohamed N. Thabit
    The Egyptian Journal of Neurology, Psychiatry and Neurosurgery, 58