Visual rating method and tensor-based morphometry in the diagnosis of mild cognitive impairment and Alzheimer's

Terhi Tuokkola1, Juha Koikkalainen2, Riitta Parkkola3

  • 1Turku PET Centre, Turku University Hospital, Finland University of Turku, Turku, Finland terhi.tuokkola@tyks.fi.

Abstract

Insights

Tensor-based morphometry (TBM) shows higher sensitivity for early Alzheimer's disease (AD) detection than visual rating methods (VRM). While VRM is user-friendly for mild cognitive impairment (MCI), TBM is more effective for early dementia diagnosis.

Area of Science:

  • Neuroimaging
  • Radiology
  • Neurology

Background:

  • Medial temporal lobe (MTL) atrophy is a key MRI finding in Alzheimer's disease (AD).
  • Quantifying MTL atrophy remains challenging in clinical practice.

Purpose of the Study:

  • Compare the diagnostic efficacy of visual rating method (VRM) and multi-template tensor-based morphometry (TBM).
  • Evaluate methods for diagnosing mild cognitive impairment (MCI) and AD.

Main Methods:

  • Studied 47 MCI patients, 80 AD patients, and 84 controls.
  • Utilized VRM and multi-template TBM for structural MRI analysis.

Main Results:

  • TBM demonstrated higher sensitivity than VRM for detecting early dementia, particularly in MTL and ventricular regions.
  • Both methods effectively distinguished AD patients from controls and MCI.
  • TBM outperformed VRM in frontal area comparisons.

Conclusions:

  • Multi-template TBM is more sensitive for early dementia diagnosis than VRM.
  • VRM remains a useful tool for clinical evaluation of MCI.
  • TBM's current demanding nature limits its daily clinical application.

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