Authors:
Martina Bocchetta, Marina Boccardi, Rossana Ganzola, Liana G. Apostolova, Gregory M. Preboske, Dominik Wolf, Clarissa Ferrari, Patrizio Pasqualetti, Nicolas Robitaille, Simon Duchesne, Clifford R. Jack, Giovanni B. Frisoni, George Bartzokis, Charles (...)
Martina Bocchetta, Marina Boccardi, Rossana Ganzola, Liana G. Apostolova, Gregory M. Preboske, Dominik Wolf, Clarissa Ferrari, Patrizio Pasqualetti, Nicolas Robitaille, Simon Duchesne, Clifford R. Jack, Giovanni B. Frisoni, George Bartzokis, Charles DeCarli, Leyla deToledo-Morrell, Andreas Fellgiebel, Michael J. Firbank, Lotte Gerritsen, Wouter J.P. Henneman, Ronald J. Killiany, Nikolai Malykhin, Jens C. Pruessner, Hilkka Soininen, Lei Wang
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Abstract:
Abstract 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. (...)
Abstract 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.
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