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Delphi definition of the EADC-ADNI Harmonized Protocol for hippocampal segmentation on magnetic resonance

  • Marina Boccardi
  • , Martina Bocchetta
  • , Liana G Apostolova
  • , Josephine Barnes
  • , George Bartzokis
  • , Gabriele Corbetta
  • , Charles DeCarli
  • , Leyla deToledo-Morrell
  • , Michael Firbank
  • , Rossana Ganzola
  • , Lotte Gerritsen
  • , Wouter Henneman
  • , Ronald J Killiany
  • , Nikolai Malykhin
  • , Patrizio Pasqualetti
  • , Jens C Pruessner
  • , Alberto Redolfi
  • , Nicolas Robitaille
  • , Hilkka Soininen
  • , Daniele Tolomeo
  • Lei Wang, Craig Watson, Henrike Wolf, Henri Duvernoy, Simon Duchesne, Clifford R Jack, Giovanni B Frisoni, EADC-ADNI Working Group on the Harmonized Protocol for Manual Hippocampal Segmentation
  • LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS - S. Giovanni di Dio - Fatebenefratelli Brescia, Italy. Electronic address: [email protected].
  • LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS - S. Giovanni di Dio - Fatebenefratelli Brescia, Italy; Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
  • Laboratory of NeuroImaging, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
  • Dementia Research Centre, UCL Institute of Neurology, University College London, London, UK.
  • Department of Psychiatry, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
  • LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS - S. Giovanni di Dio - Fatebenefratelli Brescia, Italy.
  • Department of Neurology, University of California, Davis, Davis, CA, USA.
  • Department of Neurological Sciences, Rush University, Chicago, IL, USA.
  • Institute for Ageing and Health, Newcastle University, Campus for Ageing and Vitality, Newcastle upon Tyne, UK.
  • Department of Medical Epidemiology & Biostatistics, Karolinska Institute, Stockholm, Sweden; Department of Psychiatry, VU university Medical Center / GGZ inGeest, Amsterdam, the Netherlands.
  • Department of Radiology and Nuclear Medicine; Image Analysis Center, VU University Medical Center, Amsterdam, The Netherlands.
  • Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA.
  • Department of Biomedical Engineering, Centre for Neuroscience, University of Alberta, Edmonton, Alberta, Canada.
  • SeSMIT (Service for Medical Statistics and Information Technology) - AFaR (Fatebenefratelli Association for Research), Fatebenefratelli Hospital, Isola Tiberina, Rome, Italy; Unit of Clinical and Molecular Epidemiology, IRCCS "San Raffaele Pisana", Rome, Italy.
  • Department of Psychiatry, McGill Centre for Studies in Aging, McGill University, Montreal, Quebec, Canada.
  • Department of Radiology, Université Laval and Centre de Recherche Université Laval - Robert Giffard, Quebec City, Quebec, Canada.
  • Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
  • Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
  • Department of Neurology and the Department of Anatomy & Cell Biology, Wayne State University School of Medicine, D-University Health Center, St. Antoine, Detroit, MI, USA.
  • Department of Psychiatry Research and Geriatric Psychiatry, Psychiatric University Hospitals, University of Zurich, Zurich, Switzerland; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
  • Chemin des Relançons, Besançon, France.
  • Department of Diagnostic Radiology, Mayo Clinic and Foundation, Rochester, MN, USA.
  • LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS - S. Giovanni di Dio - Fatebenefratelli Brescia, Italy; Memory Clinic and LANVIE (Laboratory of Neuroimaging of Aging), University Hospitals and University of Geneva, Geneva, Switzerland.

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

BACKGROUND: This study aimed to have international experts converge on a harmonized definition of whole hippocampus boundaries and segmentation procedures, to define standard operating procedures for magnetic resonance (MR)-based manual hippocampal segmentation.

METHODS: The panel received a questionnaire regarding whole hippocampus boundaries and segmentation procedures. Quantitative information was supplied to allow evidence-based answers. A recursive and anonymous Delphi procedure was used to achieve convergence. Significance of agreement among panelists was assessed by exact probability on Fisher's and binomial tests.

RESULTS: Agreement was significant on the inclusion of alveus/fimbria (P = .021), whole hippocampal tail (P = .013), medial border of the body according to visible morphology (P = .0006), and on this combined set of features (P = .001). This definition captures 100% of hippocampal tissue, 100% of Alzheimer's disease-related atrophy, and demonstrated good reliability on preliminary intrarater (0.98) and inter-rater (0.94) estimates.

DISCUSSION: Consensus was achieved among international experts with respect to hippocampal segmentation using MR resulting in a harmonized segmentation protocol.

Original languageEnglish
Pages (from-to)126-38
Number of pages13
JournalAlzheimer's and Dementia
Volume11
Issue number2
DOIs
Publication statusPublished - Feb 2015
Externally publishedYes

Keywords

  • Alzheimer Disease
  • Atrophy
  • Consensus
  • Delphi Technique
  • Hippocampus
  • Humans
  • Image Processing, Computer-Assisted
  • Imaging, Three-Dimensional
  • Internationality
  • Magnetic Resonance Imaging
  • Neuroimaging
  • Journal Article
  • Research Support, Non-U.S. Gov't

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