Literature DB >> 28984586

Utility of Molecular and Structural Brain Imaging to Predict Progression from Mild Cognitive Impairment to Dementia.

Martin J Lan1,2, R Todd Ogden1,2, Dileep Kumar1,2, Yaakov Stern3,4, Ramin V Parsey5,6, Gregory H Pelton1,7,4, Harry Rubin-Falcone1,2, Gnanavalli Pradhaban1,7, Francesca Zanderigo1,2, Jeffrey M Miller1,2, J John Mann1,2, D P Devanand1,7.   

Abstract

This project compares three neuroimaging biomarkers to predict progression to dementia in subjects with mild cognitive impairment (MCI). Eighty-eight subjects with MCI and 40 healthy controls (HCs) were recruited. Subjects had a 3T magnetic resonance imaging (MRI) scan, and two positron emission tomography (PET) scans, one with Pittsburgh compound B ([11C]PIB) and one with fluorodeoxyglucose ([18F]FDG). MCI subjects were followed for up to 4 y and progression to dementia was assessed on an annual basis. MCI subjects had higher [11C]PIB binding potential (BPND) than HCs in multiple brain regions, and lower hippocampus volumes. [11C]PIB BPND, [18F]FDG standard uptake value ratio (SUVR), and hippocampus volume were associated with time to progression to dementia using a Cox proportional hazards model. [18F]FDG SUVR demonstrated the most statistically significant association with progression, followed by [11C]PIB BPND and then hippocampus volume. [11C]PIB BPND and [18F]FDG SUVR were independently predictive, suggesting that combining these measures is useful to increase accuracy in the prediction of progression to dementia. Hippocampus volume also had independent predictive properties to [11C]PIB BPND, but did not add predictive power when combined with the [18F]FDG SUVR data. This work suggests that PET imaging with both [11C]PIB and [18F]FDG may help to determine which MCI subjects are likely to progress to AD, possibly directing future treatment options.

Entities:  

Keywords:  Alzheimer’s disease; PET; mild cognitive impairment; prognosis; volumetric MRI

Mesh:

Substances:

Year:  2017        PMID: 28984586      PMCID: PMC5679746          DOI: 10.3233/JAD-161284

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  41 in total

1.  Prediction of AD with MRI-based hippocampal volume in mild cognitive impairment.

Authors:  C R Jack; R C Petersen; Y C Xu; P C O'Brien; G E Smith; R J Ivnik; B F Boeve; S C Waring; E G Tangalos; E Kokmen
Journal:  Neurology       Date:  1999-04-22       Impact factor: 9.910

2.  Relative capability of MR imaging and FDG PET to depict changes associated with prodromal and early Alzheimer disease.

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

3.  MRI hippocampal and entorhinal cortex mapping in predicting conversion to Alzheimer's disease.

Authors:  D P Devanand; Ravi Bansal; Jun Liu; Xuejun Hao; Gnanavalli Pradhaban; Bradley S Peterson
Journal:  Neuroimage       Date:  2012-01-25       Impact factor: 6.556

4.  Estimation in regression models with externally estimated parameters.

Authors:  R Todd Ogden; Thaddeus Tarpey
Journal:  Biostatistics       Date:  2005-07-14       Impact factor: 5.899

Review 5.  Consensus nomenclature for in vivo imaging of reversibly binding radioligands.

Authors:  Robert B Innis; Vincent J Cunningham; Jacques Delforge; Masahiro Fujita; Albert Gjedde; Roger N Gunn; James Holden; Sylvain Houle; Sung-Cheng Huang; Masanori Ichise; Hidehiro Iida; Hiroshi Ito; Yuichi Kimura; Robert A Koeppe; Gitte M Knudsen; Juhani Knuuti; Adriaan A Lammertsma; Marc Laruelle; Jean Logan; Ralph Paul Maguire; Mark A Mintun; Evan D Morris; Ramin Parsey; Julie C Price; Mark Slifstein; Vesna Sossi; Tetsuya Suhara; John R Votaw; Dean F Wong; Richard E Carson
Journal:  J Cereb Blood Flow Metab       Date:  2007-05-09       Impact factor: 6.200

6.  Comparison of neuroimaging modalities for the prediction of conversion from mild cognitive impairment to Alzheimer's dementia.

Authors:  Paula T Trzepacz; Peng Yu; Jia Sun; Kory Schuh; Michael Case; Michael M Witte; Helen Hochstetler; Ann Hake
Journal:  Neurobiol Aging       Date:  2013-08-15       Impact factor: 4.673

7.  Hippocampal and entorhinal atrophy in mild cognitive impairment: prediction of Alzheimer disease.

Authors:  D P Devanand; G Pradhaban; X Liu; A Khandji; S De Santi; S Segal; H Rusinek; G H Pelton; L S Honig; R Mayeux; Y Stern; M H Tabert; M J de Leon
Journal:  Neurology       Date:  2007-03-13       Impact factor: 9.910

8.  Voxel-level comparison of arterial spin-labeled perfusion MRI and FDG-PET in Alzheimer disease.

Authors:  Y Chen; D A Wolk; J S Reddin; M Korczykowski; P M Martinez; E S Musiek; A B Newberg; P Julin; S E Arnold; J H Greenberg; J A Detre
Journal:  Neurology       Date:  2011-11-16       Impact factor: 9.910

9.  Aβ imaging with 18F-florbetaben in prodromal Alzheimer's disease: a prospective outcome study.

Authors:  Kevin T Ong; Victor L Villemagne; Alex Bahar-Fuchs; Fiona Lamb; Narelle Langdon; Ana M Catafau; Andrew W Stephens; John Seibyl; Ludger M Dinkelborg; Cornelia B Reininger; Barbara Putz; Beate Rohde; Colin L Masters; Christopher C Rowe
Journal:  J Neurol Neurosurg Psychiatry       Date:  2014-06-26       Impact factor: 10.154

Review 10.  (11)C-PIB-PET for the early diagnosis of Alzheimer's disease dementia and other dementias in people with mild cognitive impairment (MCI).

Authors:  Shuo Zhang; Nadja Smailagic; Chris Hyde; Anna H Noel-Storr; Yemisi Takwoingi; Rupert McShane; Juan Feng
Journal:  Cochrane Database Syst Rev       Date:  2014-07-23
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  1 in total

1.  Genome-wide association study identifies CD1A associated with rate of increase in plasma neurofilament light in non-demented elders.

Authors:  Zuo-Teng Wang; Shi-Dong Chen; Wei Xu; Ke-Liang Chen; Hui-Fu Wang; Chen-Chen Tan; Mei Cui; Qiang Dong; Lan Tan; Jin-Tai Yu
Journal:  Aging (Albany NY)       Date:  2019-07-11       Impact factor: 5.682

  1 in total

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