Literature DB >> 21471273

Mild cognitive impairment: baseline and longitudinal structural MR imaging measures improve predictive prognosis.

Linda K McEvoy1, Dominic Holland, Donald J Hagler, Christine Fennema-Notestine, James B Brewer, Anders M Dale.   

Abstract

PURPOSE: To assess whether single-time-point and longitudinal volumetric magnetic resonance (MR) imaging measures provide predictive prognostic information in patients with amnestic mild cognitive impairment (MCI).
MATERIALS AND METHODS: This study was conducted with institutional review board approval and in compliance with HIPAA regulations. Written informed consent was obtained from all participants or the participants' legal guardians. Cross-validated discriminant analyses of MR imaging measures were performed to differentiate 164 Alzheimer disease (AD) cases from 203 healthy control cases. Separate analyses were performed by using data from MR images obtained at one time point or by combining single-time-point measures with 1-year change measures. Resulting discriminant functions were applied to 317 MCI cases to derive individual patient risk scores. Risk of conversion to AD was estimated as a continuous function of risk score percentile. Kaplan-Meier survival curves were computed for risk score quartiles. Odds ratios (ORs) for the conversion to AD were computed between the highest and lowest quartile scores.
RESULTS: Individualized risk estimates from baseline MR examinations indicated that the 1-year risk of conversion to AD ranged from 3% to 40% (average group risk, 17%; OR, 7.2 for highest vs lowest score quartiles). Including measures of 1-year change in global and regional volumes significantly improved risk estimates (P = 001), with the risk of conversion to AD in the subsequent year ranging from 3% to 69% (average group risk, 27%; OR, 12.0 for highest vs lowest score quartiles).
CONCLUSION: Relative to the risk of conversion to AD conferred by the clinical diagnosis of MCI alone, MR imaging measures yield substantially more informative patient-specific risk estimates. Such predictive prognostic information will be critical if disease-modifying therapies become available. SUPPLEMENTAL MATERIAL: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.11101975/-/DC1. RSNA, 2011

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Year:  2011        PMID: 21471273      PMCID: PMC3099042          DOI: 10.1148/radiol.11101975

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  51 in total

1.  Longitudinal MRI atrophy biomarkers: relationship to conversion in the ADNI cohort.

Authors:  Shannon L Risacher; Li Shen; John D West; Sungeun Kim; Brenna C McDonald; Laurel A Beckett; Danielle J Harvey; Clifford R Jack; Michael W Weiner; Andrew J Saykin
Journal:  Neurobiol Aging       Date:  2010-08       Impact factor: 4.673

2.  A single ascending dose study of bapineuzumab in patients with Alzheimer disease.

Authors:  Ronald S Black; Reisa A Sperling; Beth Safirstein; Ruth N Motter; Allan Pallay; Alice Nichols; Michael Grundman
Journal:  Alzheimer Dis Assoc Disord       Date:  2010 Apr-Jun       Impact factor: 2.703

3.  Cortical surface-based analysis. I. Segmentation and surface reconstruction.

Authors:  A M Dale; B Fischl; M I Sereno
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

4.  Cortical surface-based analysis. II: Inflation, flattening, and a surface-based coordinate system.

Authors:  B Fischl; M I Sereno; A M Dale
Journal:  Neuroimage       Date:  1999-02       Impact factor: 6.556

5.  Medial temporal atrophy on MRI in normal aging and very mild Alzheimer's disease.

Authors:  C R Jack; R C Petersen; Y C Xu; S C Waring; P C O'Brien; E G Tangalos; G E Smith; R J Ivnik; E Kokmen
Journal:  Neurology       Date:  1997-09       Impact factor: 9.910

6.  Subregional neuroanatomical change as a biomarker for Alzheimer's disease.

Authors:  Dominic Holland; James B Brewer; Donald J Hagler; Christine Fennema-Notestine; Christine Fenema-Notestine; Anders M Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-08       Impact factor: 11.205

7.  CSF biomarkers in prediction of cerebral and clinical change in mild cognitive impairment and Alzheimer's disease.

Authors:  Anders M Fjell; Kristine B Walhovd; Christine Fennema-Notestine; Linda K McEvoy; Donald J Hagler; Dominic Holland; James B Brewer; Anders M Dale
Journal:  J Neurosci       Date:  2010-02-10       Impact factor: 6.167

Review 8.  Brain glucose metabolism in the early and specific diagnosis of Alzheimer's disease. FDG-PET studies in MCI and AD.

Authors:  Lisa Mosconi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2005-04       Impact factor: 9.236

9.  Alzheimer's Disease Neuroimaging Initiative (ADNI): clinical characterization.

Authors:  R C Petersen; P S Aisen; L A Beckett; M C Donohue; A C Gamst; D J Harvey; C R Jack; W J Jagust; L M Shaw; A W Toga; J Q Trojanowski; M W Weiner
Journal:  Neurology       Date:  2009-12-30       Impact factor: 9.910

Review 10.  Fully-automated volumetric MRI with normative ranges: translation to clinical practice.

Authors:  J B Brewer
Journal:  Behav Neurol       Date:  2009       Impact factor: 3.342

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  45 in total

1.  Unbiased comparison of sample size estimates from longitudinal structural measures in ADNI.

Authors:  Dominic Holland; Linda K McEvoy; Anders M Dale
Journal:  Hum Brain Mapp       Date:  2011-08-09       Impact factor: 5.038

Review 2.  Structural imaging in early pre-states of dementia.

Authors:  Charles D Smith
Journal:  Biochim Biophys Acta       Date:  2011-07-14

3.  Predicting cognitive decline in subjects at risk for Alzheimer disease by using combined cerebrospinal fluid, MR imaging, and PET biomarkers.

Authors:  Jennifer L Shaffer; Jeffrey R Petrella; Forrest C Sheldon; Kingshuk Roy Choudhury; Vince D Calhoun; R Edward Coleman; P Murali Doraiswamy
Journal:  Radiology       Date:  2012-12-11       Impact factor: 11.105

4.  An MRI-based index to measure the severity of Alzheimer's disease-like structural pattern in subjects with mild cognitive impairment.

Authors:  G Spulber; A Simmons; J-S Muehlboeck; P Mecocci; B Vellas; M Tsolaki; I Kłoszewska; H Soininen; C Spenger; S Lovestone; L-O Wahlund; E Westman
Journal:  J Intern Med       Date:  2013-01-30       Impact factor: 8.989

5.  Radiation Dose-Dependent Hippocampal Atrophy Detected With Longitudinal Volumetric Magnetic Resonance Imaging.

Authors:  Tyler M Seibert; Roshan Karunamuni; Hauke Bartsch; Samar Kaifi; Anitha Priya Krishnan; Yoseph Dalia; Jeffrey Burkeen; Vyacheslav Murzin; Vitali Moiseenko; Joshua Kuperman; Nathan S White; James B Brewer; Nikdokht Farid; Carrie R McDonald; Jona A Hattangadi-Gluth
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-10-31       Impact factor: 7.038

6.  Amygdala Atrophy in MCI/Alzheimer's Disease in the BIOCARD cohort based on Diffeomorphic Morphometry.

Authors:  Michael I Miller; Laurent Younes; J Tilak Ratnanather; Timothy Brown; Tommy Reigel; Huong Trinh; Xiaoying Tang; Peter Barker; Susumu Mori; Marilyn Albert
Journal:  Med Image Comput Comput Assist Interv       Date:  2012-10

7.  Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.

Authors:  Elaheh Moradi; Antonietta Pepe; Christian Gaser; Heikki Huttunen; Jussi Tohka
Journal:  Neuroimage       Date:  2014-10-12       Impact factor: 6.556

8.  Biomarkers for the clinical evaluation of the cognitively impaired elderly: amyloid is not enough.

Authors:  Linda K McEvoy; James B Brewer
Journal:  Imaging Med       Date:  2012-06

9.  Brain development and aging: overlapping and unique patterns of change.

Authors:  Christian K Tamnes; Kristine B Walhovd; Anders M Dale; Ylva Østby; Håkon Grydeland; George Richardson; Lars T Westlye; J Cooper Roddey; Donald J Hagler; Paulina Due-Tønnessen; Dominic Holland; Anders M Fjell
Journal:  Neuroimage       Date:  2012-12-12       Impact factor: 6.556

Review 10.  What is normal in normal aging? Effects of aging, amyloid and Alzheimer's disease on the cerebral cortex and the hippocampus.

Authors:  Anders M Fjell; Linda McEvoy; Dominic Holland; Anders M Dale; Kristine B Walhovd
Journal:  Prog Neurobiol       Date:  2014-02-16       Impact factor: 11.685

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