BACKGROUND: To facilitate image analysis, most recent 2-[18F]fluoro-2-deoxy-d-glucose PET (FDG-PET) studies of glucose metabolism (MRglc) have used automated voxel-based analysis (VBA) procedures but paradoxically none reports hippocampus MRglc reductions in mild cognitive impairment (MCI) or Alzheimer disease (AD). Only a few studies, those using regions of interest (ROIs), report hippocampal reductions. The authors created an automated and anatomically valid mask technique to sample the hippocampus on PET (HipMask). METHODS: Hippocampal ROIs drawn on the MRI of 48 subjects (20 healthy elderly [NL], 16 MCI, and 12 AD) were used to develop the HipMask. The HipMask technique was applied in an FDG-PET study of NL (n = 11), MCI (n = 13), and AD (n = 12), and compared to both MRI-guided ROIs and VBA methods. RESULTS: HipMask and ROI hippocampal sampling produced significant and equivalent MRglc reductions for contrasts between MCI and AD relative to NL. The VBA showed typical cortical effects but failed to show hippocampal MRglc reductions in either clinical group. Hippocampal MRglc was the only discriminator of NL vs MCI (78% accuracy) and added to the cortical MRglc in classifying NL vs AD and MCI vs AD. CONCLUSIONS: The new HipMask technique provides accurate and rapid assessment of the hippocampus on PET without the use of regions of interest. Hippocampal glucose metabolism reductions are found in both mild cognitive impairment and Alzheimer disease and contribute to their diagnostic classification. These results suggest re-examination of prior voxel-based analysis 2-[18F]fluoro-2-deoxy-d-glucose PET studies that failed to report hippocampal effects.
BACKGROUND: To facilitate image analysis, most recent 2-[18F]fluoro-2-deoxy-d-glucose PET (FDG-PET) studies of glucose metabolism (MRglc) have used automated voxel-based analysis (VBA) procedures but paradoxically none reports hippocampus MRglc reductions in mild cognitive impairment (MCI) or Alzheimer disease (AD). Only a few studies, those using regions of interest (ROIs), report hippocampal reductions. The authors created an automated and anatomically valid mask technique to sample the hippocampus on PET (HipMask). METHODS: Hippocampal ROIs drawn on the MRI of 48 subjects (20 healthy elderly [NL], 16 MCI, and 12 AD) were used to develop the HipMask. The HipMask technique was applied in an FDG-PET study of NL (n = 11), MCI (n = 13), and AD (n = 12), and compared to both MRI-guided ROIs and VBA methods. RESULTS: HipMask and ROI hippocampal sampling produced significant and equivalent MRglc reductions for contrasts between MCI and AD relative to NL. The VBA showed typical cortical effects but failed to show hippocampal MRglc reductions in either clinical group. Hippocampal MRglc was the only discriminator of NL vs MCI (78% accuracy) and added to the cortical MRglc in classifying NL vs AD and MCI vs AD. CONCLUSIONS: The new HipMask technique provides accurate and rapid assessment of the hippocampus on PET without the use of regions of interest. Hippocampal glucose metabolism reductions are found in both mild cognitive impairment and Alzheimer disease and contribute to their diagnostic classification. These results suggest re-examination of prior voxel-based analysis 2-[18F]fluoro-2-deoxy-d-glucose PET studies that failed to report hippocampal effects.
Authors: Géraldine Poisnel; Anne-Sophie Hérard; Nadine El Tannir El Tayara; Emmanuel Bourrin; Andreas Volk; Frank Kober; Benoit Delatour; Thierry Delzescaux; Thomas Debeir; Thomas Rooney; Jésus Benavides; Philippe Hantraye; Marc Dhenain Journal: Neurobiol Aging Date: 2011-11-12 Impact factor: 4.673
Authors: Lisa Mosconi; Wai Tsui; John Murray; Pauline McHugh; Yi Li; Schantel Williams; Elizabeth Pirraglia; Lidia Glodzik; Susan De Santi; Shankar Vallabhajosula; Mony J de Leon Journal: Neurobiol Aging Date: 2011-04-22 Impact factor: 4.673
Authors: Lisa Mosconi; Juha O Rinne; Wai H Tsui; John Murray; Yi Li; Lidia Glodzik; Pauline McHugh; Schantel Williams; Megan Cummings; Elizabeth Pirraglia; Stanley J Goldsmith; Shankar Vallabhajosula; Noora Scheinin; Tapio Viljanen; Kjell Någren; Mony J de Leon Journal: Neurobiol Aging Date: 2012-04-11 Impact factor: 4.673
Authors: David S Karow; Linda K McEvoy; Christine Fennema-Notestine; Donald J Hagler; Robin G Jennings; James B Brewer; Carl K Hoh; Anders M Dale Journal: Radiology Date: 2010-09 Impact factor: 11.105
Authors: Angela R Kamer; Elizabeth Pirraglia; Wai Tsui; Henry Rusinek; Shankar Vallabhajosula; Lisa Mosconi; Li Yi; Pauline McHugh; Ronald G Craig; Spencer Svetcov; Ross Linker; Chen Shi; Lidia Glodzik; Schantel Williams; Patricia Corby; Deepak Saxena; Mony J de Leon Journal: Neurobiol Aging Date: 2014-11-05 Impact factor: 4.673
Authors: Flavio Nobili; Giovanni B Frisoni; Florence Portet; Frans Verhey; Guido Rodriguez; Anna Caroli; Jacques Touchon; Piero Calvini; Silvia Morbelli; Fabrizio De Carli; Ugo P Guerra; Laura A Van de Pol; Pieter-Jelle Visser Journal: J Neurol Date: 2008-08-01 Impact factor: 4.849