Your browser doesn't support javascript.
loading
Multisite longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging of healthy elderly subjects.
Jovicich, Jorge; Marizzoni, Moira; Bosch, Beatriz; Bartrés-Faz, David; Arnold, Jennifer; Benninghoff, Jens; Wiltfang, Jens; Roccatagliata, Luca; Picco, Agnese; Nobili, Flavio; Blin, Oliver; Bombois, Stephanie; Lopes, Renaud; Bordet, Régis; Chanoine, Valérie; Ranjeva, Jean-Philippe; Didic, Mira; Gros-Dagnac, Hélène; Payoux, Pierre; Zoccatelli, Giada; Alessandrini, Franco; Beltramello, Alberto; Bargalló, Núria; Ferretti, Antonio; Caulo, Massimo; Aiello, Marco; Ragucci, Monica; Soricelli, Andrea; Salvadori, Nicola; Tarducci, Roberto; Floridi, Piero; Tsolaki, Magda; Constantinidis, Manos; Drevelegas, Antonios; Rossini, Paolo Maria; Marra, Camillo; Otto, Josephin; Reiss-Zimmermann, Martin; Hoffmann, Karl-Titus; Galluzzi, Samantha; Frisoni, Giovanni B.
Afiliación
  • Jovicich J; Center for Mind/Brain Sciences (CIMEC), University of Trento, Rovereto, Italy. Electronic address: jorge.jovicich@unitn.it.
  • Marizzoni M; LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine - IRCCS San Giovanni di Dio-FBF, Brescia, Italy.
  • Bosch B; Alzheimer's Disease and Other Cognitive Disorders Unit, Department of Neurology, Hospital Clínic, and IDIBAPS, Barcelona, Spain.
  • Bartrés-Faz D; Department of Psychiatry and Clinical Psychobiology, Universitat de Barcelona and IDIBAPS, Barcelona, Spain.
  • Arnold J; LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany.
  • Benninghoff J; LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany.
  • Wiltfang J; LVR-Clinic for Psychiatry and Psychotherapy, Institutes and Clinics of the University Duisburg-Essen, Essen, Germany; Department of Psychiatry and Psychotherapy, University of Göttingen, Göttingen, Germany.
  • Roccatagliata L; Department of Neuroradiology, IRCSS San Martino University Hospital and IST, Genoa, Italy; Department of Health Sciences, University of Genoa, Genoa, Italy.
  • Picco A; Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy.
  • Nobili F; Department of Neuroscience, Ophthalmology, Genetics and Mother-Child Health (DINOGMI), University of Genoa, Genoa, Italy.
  • Blin O; Pharmacology, Assistance Publique - Hôpitaux de Marseille, Aix-Marseille University - CNRS, UMR 7289, Marseille, France.
  • Bombois S; Department of Neurology, EA1046, Lille University, Lille, France.
  • Lopes R; Department of Neuroradiology, EA1046, Lille University, Lille, France.
  • Bordet R; Department of Pharmacology, EA1046, Lille University, Lille, France.
  • Chanoine V; CRMBM-CEMEREM, UMR 7339, Aix Marseille Université - CNRS, Marseille, France.
  • Ranjeva JP; CRMBM-CEMEREM, UMR 7339, Aix Marseille Université - CNRS, Marseille, France.
  • Didic M; APHM, CHU Timone, Service de Neurologie et Neuropsychologie, Marseille, France; Aix-Marseille Université, INSERM U 1106, Marseille, France.
  • Gros-Dagnac H; INSERM, Imagerie cérébrale et handicaps neurologiques, UMR 825, Toulouse, France; Université de Toulouse, UPS, Imagerie cérébrale et handicaps neurologiques, UMR 825, CHU Purpan, Place du Dr Baylac, Toulouse Cedex 9, France.
  • Payoux P; INSERM, Imagerie cérébrale et handicaps neurologiques, UMR 825, Toulouse, France; Université de Toulouse, UPS, Imagerie cérébrale et handicaps neurologiques, UMR 825, CHU Purpan, Place du Dr Baylac, Toulouse Cedex 9, France.
  • Zoccatelli G; Department of Neuroradiology, General Hospital, Verona, Italy.
  • Alessandrini F; Department of Neuroradiology, General Hospital, Verona, Italy.
  • Beltramello A; Department of Neuroradiology, General Hospital, Verona, Italy.
  • Bargalló N; Department of Neuroradiology and Magnetic Resonace Image core Facility, Hospital Clínic de Barcelona, IDIBAPS, Barcelona, Spain.
  • Ferretti A; Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy; Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy.
  • Caulo M; Department of Neuroscience Imaging and Clinical Sciences, University "G. d'Annunzio" of Chieti, Italy; Institute for Advanced Biomedical Technologies (ITAB), University "G. d'Annunzio" of Chieti, Italy.
  • Aiello M; IRCCS SDN, Naples, Italy.
  • Ragucci M; IRCCS SDN, Naples, Italy.
  • Soricelli A; IRCCS SDN, Naples, Italy; University of Naples Parthenope, Naples, Italy.
  • Salvadori N; Section of Neurology, Centre for Memory Disturbances, University of Perugia, Perugia, Italy.
  • Tarducci R; Medical Physics Unit, Perugia General Hospital, Perugia, Italy.
  • Floridi P; Neuroradiology Unit, Perugia General Hospital, Perugia, Italy.
  • Tsolaki M; 3rd Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece.
  • Constantinidis M; Interbalkan Medical Center of Thessaloniki, Thessaloniki, Greece.
  • Drevelegas A; Interbalkan Medical Center of Thessaloniki, Thessaloniki, Greece; Department of Radiology, Aristotle University of Thessaloniki, Thessaloniki, Greece.
  • Rossini PM; Dept. Geriatrics, Neuroscience & Orthopaedics, Catholic University, Policlinic Gemelli, Rome, Italy; IRCSS S.Raffaele Pisana, Rome, Italy.
  • Marra C; Center for Neuropsychological Research, Catholic University, Rome, Italy.
  • Otto J; Department of Neuroradiology, University Hospital Leipzig, Leipzig, Germany.
  • Reiss-Zimmermann M; Department of Neuroradiology, University Hospital Leipzig, Leipzig, Germany.
  • Hoffmann KT; Department of Neuroradiology, University Hospital Leipzig, Leipzig, Germany.
  • Galluzzi S; LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine - IRCCS San Giovanni di Dio-FBF, Brescia, Italy.
  • Frisoni GB; LENITEM Laboratory of Epidemiology, Neuroimaging, & Telemedicine - IRCCS San Giovanni di Dio-FBF, Brescia, Italy; Memory Clinic and LANVIE, Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland.
Neuroimage ; 101: 390-403, 2014 Nov 01.
Article en En | MEDLINE | ID: mdl-25026156
ABSTRACT
Large-scale longitudinal neuroimaging studies with diffusion imaging techniques are necessary to test and validate models of white matter neurophysiological processes that change in time, both in healthy and diseased brains. The predictive power of such longitudinal models will always be limited by the reproducibility of repeated measures acquired during different sessions. At present, there is limited quantitative knowledge about the across-session reproducibility of standard diffusion metrics in 3T multi-centric studies on subjects in stable conditions, in particular when using tract based spatial statistics and with elderly people. In this study we implemented a multi-site brain diffusion protocol in 10 clinical 3T MRI sites distributed across 4 countries in Europe (Italy, Germany, France and Greece) using vendor provided sequences from Siemens (Allegra, Trio Tim, Verio, Skyra, Biograph mMR), Philips (Achieva) and GE (HDxt) scanners. We acquired DTI data (2 × 2 × 2 mm(3), b = 700 s/mm(2), 5 b0 and 30 diffusion weighted volumes) of a group of healthy stable elderly subjects (5 subjects per site) in two separate sessions at least a week apart. For each subject and session four scalar diffusion metrics were considered fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD) and axial (AD) diffusivity. The diffusion metrics from multiple subjects and sessions at each site were aligned to their common white matter skeleton using tract-based spatial statistics. The reproducibility at each MRI site was examined by looking at group averages of absolute changes relative to the mean (%) on various parameters i) reproducibility of the signal-to-noise ratio (SNR) of the b0 images in centrum semiovale, ii) full brain test-retest differences of the diffusion metric maps on the white matter skeleton, iii) reproducibility of the diffusion metrics on atlas-based white matter ROIs on the white matter skeleton. Despite the differences of MRI scanner configurations across sites (vendors, models, RF coils and acquisition sequences) we found good and consistent test-retest reproducibility. White matter b0 SNR reproducibility was on average 7 ± 1% with no significant MRI site effects. Whole brain analysis resulted in no significant test-retest differences at any of the sites with any of the DTI metrics. The atlas-based ROI analysis showed that the mean reproducibility errors largely remained in the 2-4% range for FA and AD and 2-6% for MD and RD, averaged across ROIs. Our results show reproducibility values comparable to those reported in studies using a smaller number of MRI scanners, slightly different DTI protocols and mostly younger populations. We therefore show that the acquisition and analysis protocols used are appropriate for multi-site experimental scenarios.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Imagen de Difusión Tensora / Sustancia Blanca Tipo de estudio: Clinical_trials / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2014 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Imagen de Difusión Tensora / Sustancia Blanca Tipo de estudio: Clinical_trials / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Neuroimage Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2014 Tipo del documento: Article