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

Linda K McEvoy1, Dominic Holland, Donald J Hagler

  • 1Department of Radiology, University of California, San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA. lkmcevoy@ucsd.edu

Radiology
|April 8, 2011
PubMed
Abstract

Insights

Magnetic resonance imaging (MRI) measures, especially longitudinal changes, significantly improve prediction of Alzheimer's disease (AD) conversion in mild cognitive impairment (MCI) patients. These findings offer crucial prognostic information for future disease-modifying therapies.

Area of Science:

  • Neuroimaging
  • Neurology
  • Radiology

Background:

  • Mild cognitive impairment (MCI) is a transitional stage between normal aging and Alzheimer's disease (AD).
  • Accurate prediction of conversion from MCI to AD is crucial for clinical trial enrollment and therapeutic intervention.
  • Volumetric magnetic resonance (MR) imaging offers a non-invasive method to assess brain structure changes.

Purpose of the Study:

  • To evaluate the prognostic value of single-time-point and longitudinal volumetric MR imaging measures in predicting AD conversion in amnestic MCI patients.
  • To determine if combining baseline and 1-year change MR imaging data enhances risk prediction accuracy.

Main Methods:

  • Cross-validated discriminant analyses were used to differentiate AD cases from healthy controls using volumetric MR imaging data.
  • Discriminant functions derived from control/AD data were applied to MCI cases to generate individual risk scores.
  • Risk of AD conversion was analyzed using Kaplan-Meier curves and odds ratios (ORs) across risk score quartiles.

Main Results:

  • Baseline MR imaging provided individualized 1-year AD conversion risk estimates (3%-40%, OR 7.2).
  • Incorporating 1-year volumetric changes significantly improved risk prediction (P = .001), with estimated 1-year conversion risk ranging from 3% to 69% (OR 12.0).

Conclusions:

  • Volumetric MR imaging measures provide more informative patient-specific risk estimates for AD conversion than clinical diagnosis alone.
  • Longitudinal MR imaging data substantially enhance the predictive accuracy of AD conversion risk in MCI.
  • These predictive capabilities are vital for the development and application of future disease-modifying therapies for AD.

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