Reduced hippocampal metabolism in MCI and AD: automated FDG-PET image analysis
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...
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Published in | Neurology Vol. 64; no. 11; p. 1860 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
14.06.2005
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Abstract | 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).
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.
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.
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. |
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AbstractList | 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).
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.
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.
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. |
Author | Rusinek, H De Santi, S de Leon, M J Tsui, W-H Li, J Li, Y Mosconi, L Boppana, Madhu Convit, A |
Author_xml | – sequence: 1 givenname: L surname: Mosconi fullname: Mosconi, L organization: Department of Psychiatry, New York University School of Medicine, 560 First Avenue, New York, NY 10016, USA – sequence: 2 givenname: W-H surname: Tsui fullname: Tsui, W-H – sequence: 3 givenname: S surname: De Santi fullname: De Santi, S – sequence: 4 givenname: J surname: Li fullname: Li, J – sequence: 5 givenname: H surname: Rusinek fullname: Rusinek, H – sequence: 6 givenname: A surname: Convit fullname: Convit, A – sequence: 7 givenname: Y surname: Li fullname: Li, Y – sequence: 8 givenname: Madhu surname: Boppana fullname: Boppana, Madhu – sequence: 9 givenname: M J surname: de Leon fullname: de Leon, M J |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/15955934$$D View this record in MEDLINE/PubMed |
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SubjectTerms | Aged Aged, 80 and over Alzheimer Disease - diagnosis Alzheimer Disease - diagnostic imaging Alzheimer Disease - metabolism Cognition Disorders - diagnosis Cognition Disorders - diagnostic imaging Cognition Disorders - metabolism Cohort Studies Down-Regulation - physiology Energy Metabolism - physiology Female Fluorodeoxyglucose F18 Glucose - metabolism Hippocampus - diagnostic imaging Hippocampus - metabolism Hippocampus - physiopathology Humans Image Processing, Computer-Assisted - methods Magnetic Resonance Imaging - methods Male Middle Aged Positron-Emission Tomography - methods Predictive Value of Tests Reproducibility of Results Software Design |
Title | Reduced hippocampal metabolism in MCI and AD: automated FDG-PET image analysis |
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