OBJECTIVES: To determine prognostic factors affecting the course of Alzheimer disease (AD) and to determine the role of region-specific brain volumes as predictors of cognitive decline. METHODS: Longitudinal data from 166 normal elderly individuals and 59 early AD patients were analyzed. Brain volumes were extracted from MRI scans using semiautomated recursive segmentation methods. Prognostic factors were considered significant if they had a significant effect on the rate of cognitive decline. RESULTS: In multivariate analysis, higher Clinical Dementia Rating Scale (CDR) score at entry was a significant prognostic factor for an increased rate of cognitive decline. Significant prognostic factors within the baseline CDR = 0 group were base rate of progression and percent total high signal intensity (HSI), percent ventricular, and percent CSF volumes. Base rate of progression, family history, and percent ventricular volume were significant prognostic factors within the CDR = 0.5 group and APOE had a marginally significant effect on the rate of cognitive decline in the CDR = 1 group. CONCLUSIONS: Percent total HSI, ventricular, and total CSF volume measures can independently predict the rate of cognitive decline and improve the predictive power of statistical models that use only clinical data. Brain volumetric measures from MRI can be used to estimate the rate of cognitive decline even among normal elderly individuals and thus may aid in the prediction of time of onset of disease.
OBJECTIVES: To determine prognostic factors affecting the course of Alzheimer disease (AD) and to determine the role of region-specific brain volumes as predictors of cognitive decline. METHODS: Longitudinal data from 166 normal elderly individuals and 59 early ADpatients were analyzed. Brain volumes were extracted from MRI scans using semiautomated recursive segmentation methods. Prognostic factors were considered significant if they had a significant effect on the rate of cognitive decline. RESULTS: In multivariate analysis, higher Clinical Dementia Rating Scale (CDR) score at entry was a significant prognostic factor for an increased rate of cognitive decline. Significant prognostic factors within the baseline CDR = 0 group were base rate of progression and percent total high signal intensity (HSI), percent ventricular, and percent CSF volumes. Base rate of progression, family history, and percent ventricular volume were significant prognostic factors within the CDR = 0.5 group and APOE had a marginally significant effect on the rate of cognitive decline in the CDR = 1 group. CONCLUSIONS: Percent total HSI, ventricular, and total CSF volume measures can independently predict the rate of cognitive decline and improve the predictive power of statistical models that use only clinical data. Brain volumetric measures from MRI can be used to estimate the rate of cognitive decline even among normal elderly individuals and thus may aid in the prediction of time of onset of disease.
Authors: Owen T Carmichael; Lewis H Kuller; Oscar L Lopez; Paul M Thompson; Rebecca A Dutton; Allen Lu; Sharon E Lee; Jessica Y Lee; Howard J Aizenstein; Carolyn C Meltzer; Yanxi Liu; Arthur W Toga; James T Becker Journal: Alzheimer Dis Assoc Disord Date: 2007 Jan-Mar Impact factor: 2.703
Authors: Kathryn P Riley; Gregory A Jicha; Daron Davis; Erin L Abner; Gregory E Cooper; Nancy Stiles; Charles D Smith; Richard J Kryscio; Peter T Nelson; Linda J Van Eldik; Frederick A Schmitt Journal: J Alzheimers Dis Date: 2011 Impact factor: 4.472
Authors: Owen T Carmichael; L H Kuller; O L Lopez; P M Thompson; R A Dutton; A Lu; S E Lee; J Y Lee; H J Aizenstein; C C Meltzer; Y Liu; A W Toga; J T Becker Journal: Neurobiol Aging Date: 2006-07-27 Impact factor: 4.673
Authors: Yi-Yu Chou; Natasha Leporé; Priyanka Saharan; Sarah K Madsen; Xue Hua; Clifford R Jack; Leslie M Shaw; John Q Trojanowski; Michael W Weiner; Arthur W Toga; Paul M Thompson Journal: Neurobiol Aging Date: 2010-08 Impact factor: 4.673
Authors: Yi-Yu Chou; Natasha Leporé; Christina Avedissian; Sarah K Madsen; Neelroop Parikshak; Xue Hua; Leslie M Shaw; John Q Trojanowski; Michael W Weiner; Arthur W Toga; Paul M Thompson Journal: Neuroimage Date: 2009-02-21 Impact factor: 6.556
Authors: Lisa C Silbert; Hiroko H Dodge; Louie G Perkins; Lena Sherbakov; David Lahna; Deniz Erten-Lyons; Randall Woltjer; Lynne Shinto; Jeffrey A Kaye Journal: Neurology Date: 2012-07-25 Impact factor: 9.910
Authors: Martin A Ystad; Astri J Lundervold; Eike Wehling; Thomas Espeseth; Helge Rootwelt; Lars Tjelta Westlye; Martin Andersson; Steinunn Adolfsdottir; Jonn Terje Geitung; Anders M Fjell; Ivar Reinvang; Arvid Lundervold Journal: BMC Med Imaging Date: 2009-08-22 Impact factor: 1.930