Literature DB >> 12815635

Methodological considerations for measuring rates of brain atrophy.

Jeffrey L Gunter1, Maria M Shiung, Armando Manduca, Clifford R Jack.   

Abstract

PURPOSE: To systematically compare two techniques for measuring brain atrophy rates from serial magnetic resonance imaging (MRI) studies.
MATERIALS AND METHODS: Using the separation in atrophy rate between cohorts of cognitively normal elderly subjects and patients with Alzheimer's disease (AD) as the gold standard, we evaluated 1) different methods of computing volume change; 2) different methods for steps in image preprocessing-intensity normalization, alignment mask used, and bias field correction; 3) the effect of MRI acquisition hardware changes; and 4) the sensitivity of the method to variations in initial manual volume editing. For each of the preceding evaluations, measurements of whole-brain and ventricular atrophy rates were calculated.
RESULTS: In general, greater separation between the clinical groups was seen with ventricular rather than whole-brain measures. Surprisingly, neither the use of bias field correction nor a major hardware change between the scan pairs affected group separation.
CONCLUSION: Atrophy rate measurements from serial MRI are candidates for use as surrogate markers of disease progression in AD and other dementing neurodegenerative disorders. The final method has excellent precision and accurately captures the expected biology of AD-arguably the two most important features if this technique is to be used as a biomarker of disease progression. Copyright 2003 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2003        PMID: 12815635      PMCID: PMC2740859          DOI: 10.1002/jmri.10325

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  7 in total

1.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm.

Authors:  Y Zhang; M Brady; S Smith
Journal:  IEEE Trans Med Imaging       Date:  2001-01       Impact factor: 10.048

2.  The biomedical imaging resource at Mayo Clinic.

Authors:  R A Robb
Journal:  IEEE Trans Med Imaging       Date:  2001-09       Impact factor: 10.048

3.  Accurate, robust, and automated longitudinal and cross-sectional brain change analysis.

Authors:  Stephen M Smith; Yongyue Zhang; Mark Jenkinson; Jacqueline Chen; P M Matthews; Antonio Federico; Nicola De Stefano
Journal:  Neuroimage       Date:  2002-09       Impact factor: 6.556

4.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

Authors:  J G Sled; A P Zijdenbos; A C Evans
Journal:  IEEE Trans Med Imaging       Date:  1998-02       Impact factor: 10.048

5.  Automated image registration: I. General methods and intrasubject, intramodality validation.

Authors:  R P Woods; S T Grafton; C J Holmes; S R Cherry; J C Mazziotta
Journal:  J Comput Assist Tomogr       Date:  1998 Jan-Feb       Impact factor: 1.826

6.  Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease.

Authors:  G McKhann; D Drachman; M Folstein; R Katzman; D Price; E M Stadlan
Journal:  Neurology       Date:  1984-07       Impact factor: 9.910

7.  The boundary shift integral: an accurate and robust measure of cerebral volume changes from registered repeat MRI.

Authors:  P A Freeborough; N C Fox
Journal:  IEEE Trans Med Imaging       Date:  1997-10       Impact factor: 10.048

  7 in total
  45 in total

1.  Rates of brain atrophy and clinical decline over 6 and 12-month intervals in PSP: determining sample size for treatment trials.

Authors:  Jennifer L Whitwell; Jia Xu; Jay N Mandrekar; Jeffrey L Gunter; Clifford R Jack; Keith A Josephs
Journal:  Parkinsonism Relat Disord       Date:  2011-11-13       Impact factor: 4.891

2.  Differential aging of the human striatum: longitudinal evidence.

Authors:  Naftali Raz; Karen M Rodrigue; Kristen M Kennedy; Denise Head; Faith Gunning-Dixon; James D Acker
Journal:  AJNR Am J Neuroradiol       Date:  2003-10       Impact factor: 3.825

3.  Brain atrophy rates predict subsequent clinical conversion in normal elderly and amnestic MCI.

Authors:  C R Jack; M M Shiung; S D Weigand; P C O'Brien; J L Gunter; B F Boeve; D S Knopman; G E Smith; R J Ivnik; E G Tangalos; R C Petersen
Journal:  Neurology       Date:  2005-10-25       Impact factor: 9.910

Review 4.  Neuropsychological and neuroimaging changes in preclinical Alzheimer's disease.

Authors:  Elizabeth W Twamley; Susan A Legendre Ropacki; Mark W Bondi
Journal:  J Int Neuropsychol Soc       Date:  2006-09       Impact factor: 2.892

5.  Trajectories of brain and hippocampal atrophy in FTD with mutations in MAPT or GRN.

Authors:  J L Whitwell; S D Weigand; J L Gunter; B F Boeve; R Rademakers; M Baker; D S Knopman; Z K Wszolek; R C Petersen; C R Jack; K A Josephs
Journal:  Neurology       Date:  2011-07-13       Impact factor: 9.910

6.  Chronic divalproex sodium to attenuate agitation and clinical progression of Alzheimer disease.

Authors:  Pierre N Tariot; Lon S Schneider; Jeffrey Cummings; Ronald G Thomas; Rema Raman; Laura J Jakimovich; Rebekah Loy; Barbara Bartocci; Adam Fleisher; M Saleem Ismail; Anton Porsteinsson; Michael Weiner; Clifford R Jack; Leon Thal; Paul S Aisen
Journal:  Arch Gen Psychiatry       Date:  2011-08

7.  Fully automatic segmentation of the brain from T1-weighted MRI using Bridge Burner algorithm.

Authors:  Artem Mikheev; Gregory Nevsky; Siddharth Govindan; Robert Grossman; Henry Rusinek
Journal:  J Magn Reson Imaging       Date:  2008-06       Impact factor: 4.813

8.  Comparisons between global and focal brain atrophy rates in normal aging and Alzheimer disease: Boundary Shift Integral versus tracing of the entorhinal cortex and hippocampus.

Authors:  Frank Ezekiel; Linda Chao; John Kornak; An-Tao Du; Valerie Cardenas; Diana Truran; William Jagust; Helena Chui; Bruce Miller; Kristine Yaffe; Norbert Schuff; Michael Weiner
Journal:  Alzheimer Dis Assoc Disord       Date:  2004 Oct-Dec       Impact factor: 2.703

9.  Rates of brain atrophy over time in autopsy-proven frontotemporal dementia and Alzheimer disease.

Authors:  Jennifer L Whitwell; Clifford R Jack; V Shane Pankratz; Joseph E Parisi; David S Knopman; Bradley F Boeve; Ronald C Petersen; Dennis W Dickson; Keith A Josephs
Journal:  Neuroimage       Date:  2007-10-10       Impact factor: 6.556

10.  Ways toward an early diagnosis in Alzheimer's disease: the Alzheimer's Disease Neuroimaging Initiative (ADNI).

Authors:  Susanne G Mueller; Michael W Weiner; Leon J Thal; Ronald C Petersen; Clifford R Jack; William Jagust; John Q Trojanowski; Arthur W Toga; Laurel Beckett
Journal:  Alzheimers Dement       Date:  2005-07       Impact factor: 21.566

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.