Journal article
Harmonized benchmark labels of the hippocampus on magnetic resonance: the EADC-ADNI project.
- Bocchetta M LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS-Centro S. Giovanni di Dio-Fatebenefratelli Brescia, Brescia, Italy; Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy.
- Boccardi M LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS-Centro S. Giovanni di Dio-Fatebenefratelli Brescia, Brescia, Italy.
- Ganzola R Department of Radiology, Université Laval and Centre de Recherche de l'Institut universitaire de santé mentale de Québec, Quebec City, Canada.
- Apostolova LG Mary S. Easton Center for Alzheimer's Disease Research and Laboratory of NeuroImaging, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
- Preboske G Department of Diagnostic Radiology, Mayo Clinic and Foundation, Rochester, MN, USA.
- Wolf D Klinik für Psychiatrie und Psychotherapie, Johannes Gutenberg-Universität Mainz, Mainz, Germany.
- Ferrari C IRCCS-Centro S. Giovanni di Dio-Fatebenefratelli Brescia, Brescia, Italy.
- Pasqualetti P SeSMIT (Service for Medical Statistics and Information Technology), AFaR (Fatebenefratelli Association for Research), Fatebenefratelli Hospital, Rome, Italy; Unit of Clinical and Molecular Epidemiology, IRCCS "San Raffaele Pisana," Rome, Italy.
- Robitaille N Department of Radiology, Université Laval and Centre de Recherche de l'Institut universitaire de santé mentale de Québec, Quebec City, Canada.
- Duchesne S Department of Radiology, Université Laval and Centre de Recherche de l'Institut universitaire de santé mentale de Québec, Quebec City, Canada.
- Jack CR Department of Diagnostic Radiology, Mayo Clinic and Foundation, Rochester, MN, USA.
- Frisoni GB LENITEM (Laboratory of Epidemiology, Neuroimaging and Telemedicine), IRCCS-Centro S. Giovanni di Dio-Fatebenefratelli Brescia, Brescia, Italy; Memory Clinic and LANVIE - Laboratory of Neuroimaging of Aging, University Hospitals and University of Geneva, Geneva, Switzerland. Electronic address: gfrisoni@fatebenefratelli.it.
- 2014-09-17
Published in:
- Alzheimer's & dementia : the journal of the Alzheimer's Association. - 2015
ADNI
Alzheimer's disease
Anatomic landmark
Harmonization
Harmonized protocol
Hippocampal atrophy
Hippocampal volume
Hippocampus
MRI
Manual tracing
Medial temporal lobes
Neuroimaging
Standard operating procedures
Aged
Aged, 80 and over
Alzheimer Disease
Atrophy
Cognitive Dysfunction
Female
Hippocampus
Humans
Image Processing, Computer-Assisted
Imaging, Three-Dimensional
Inservice Training
Magnetic Resonance Imaging
Male
Neuroimaging
Organ Size
Reproducibility of Results
English
BACKGROUND
A globally harmonized protocol (HarP) for manual hippocampal segmentation based on magnetic resonance has been recently developed by a task force from European Alzheimer's Disease Consortium (EADC) and Alzheimer's Disease Neuroimaging Initiative (ADNI). Our aim was to produce benchmark labels based on the HarP for manual segmentation.
METHODS
Five experts of manual hippocampal segmentation underwent specific training on the HarP and segmented 40 right and left hippocampi from 10 ADNI subjects on both 1.5 T and 3 T scans. An independent expert visually checked segmentations for compliance with the HarP. Descriptive measures of agreement between tracers were intraclass correlation coefficients (ICCs) of crude volumes and similarity coefficients of three-dimensional volumes.
RESULTS
Two hundred labels have been provided for the 20 magnetic resonance images. Intra- and interrater ICCs were >0.94, and mean similarity coefficients were 1.5 T, 0.73 (95% confidence interval [CI], 0.71-0.75); 3 T, 0.75 (95% CI, 0.74-0.76).
CONCLUSION
Certified benchmark labels have been produced based on the HarP to be used for tracers' training and qualification.
A globally harmonized protocol (HarP) for manual hippocampal segmentation based on magnetic resonance has been recently developed by a task force from European Alzheimer's Disease Consortium (EADC) and Alzheimer's Disease Neuroimaging Initiative (ADNI). Our aim was to produce benchmark labels based on the HarP for manual segmentation.
METHODS
Five experts of manual hippocampal segmentation underwent specific training on the HarP and segmented 40 right and left hippocampi from 10 ADNI subjects on both 1.5 T and 3 T scans. An independent expert visually checked segmentations for compliance with the HarP. Descriptive measures of agreement between tracers were intraclass correlation coefficients (ICCs) of crude volumes and similarity coefficients of three-dimensional volumes.
RESULTS
Two hundred labels have been provided for the 20 magnetic resonance images. Intra- and interrater ICCs were >0.94, and mean similarity coefficients were 1.5 T, 0.73 (95% confidence interval [CI], 0.71-0.75); 3 T, 0.75 (95% CI, 0.74-0.76).
CONCLUSION
Certified benchmark labels have been produced based on the HarP to be used for tracers' training and qualification.
- Language
-
- English
- Open access status
- closed
- Identifiers
-
- DOI 10.1016/j.jalz.2013.12.019
- PMID 25223727
- Persistent URL
- https://sonar.ch/global/documents/222143
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