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P1‐236: PATHOLOGIC VALIDATION OF THE HIPPOCAMPAL RADIAL DISTANCE SURFACE MAPPING TECHNIQUE
Author(s) -
Apostolova Liana,
Hurtz Sona,
Blanken Anna Emilia,
Zarow Chris,
Biado Kristina,
Somme Johanne,
Honarpisheh Hedieh,
Tung Spencer,
Ng Denise,
Alger Jeffrey,
Vinters Harry,
Boccardi Marina,
Bocchetta Martina,
Frisoni Giovanni,
Thompson Paul
Publication year - 2014
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2014.05.475
Subject(s) - hippocampal formation , cresyl violet , atrophy , pathology , neuroscience , nuclear medicine , white matter , medicine , magnetic resonance imaging , psychology , radiology , staining
calculated using multiple algorithms. Algorithms included FreeSurfer/ReconAll/longitudinal v5.3.0, FSL/FIRST v5.0.4, AdaBoost, manual, multiple-atlas propagation and segmentation (MAPS) and MAPS with the hippocampal boundary shift integral option (MAPS-HBSI) (Leung et al. NeuroImage 2010;51:1345-1359). The difference between the PVC’s (non annualized) was calculated (BTBD). To compare the performance of any two algorithms, the absolute values of the BTBD for each subject were compared and the algorithm with the smallest absolute BTBDs was considered superior. Results: MAPS-HBSI had substantially better reproducibilities than all other algorithms. MAPS-HBSI had smaller absolute BTBD for the left hippocampus in 0.69 (FreeSurfer), 0.71 (FIRST), 0.72 (AdaBoost), 0.68 (manual), 0.81 (MAPS) fraction of subjects, all which had a p-value smaller than 0.002. The median absolute value of the BTBD (MAVBTBD) were 2.36 (FreeSurfer), 2.19 (FIRST), 2.61 (AdaBoost), 2.75 (manual), 3.41 (MAPS) and 1.29 (MAPS-HBSI). Previous comparisons of algorithm performances have often been based on a particular disease, such as AD, that can introduce confounding factors including natural disease variation and measurement error in disease classification. For example, previous assessments of the BSI option, based on AD group size (Leung et al. 2010), is 47% much less than the 164% found in this study. Conclusions: MAPS-HBSI has 70% better reproducibility than the nearest other hippocampal PVC algorithms due to the BSI option. The performance for BSI is 79% better than previously reported perhaps because of the disease independent assessment of the current study. The high reproducibility of MAPS-HBSI makes it much easier to compare the PVC of the left and right hippocampus for individual subjects and study the PVC variation in AD.