Post-mortem magnetic resonance imaging in patients with suspected prion disease: Pathological confirmation,

Lorna M Gibson1,2, Francesca M Chappell3, David Summers4

  • 1Department of Clinical Radiology, New Royal Infirmary of Edinburgh, Edinburgh, United Kingdom.

Plos One
|August 8, 2018
PubMed

Insights

Magnetic resonance imaging (MRI) features can help diagnose Creutzfeldt-Jakob Disease (CJD). Combining MRI findings with clinical data improves diagnostic accuracy, though autopsy remains essential for confirmation.

Area of Science:

  • Neurology
  • Radiology
  • Pathology

Background:

  • The diagnostic accuracy of magnetic resonance imaging (MRI) in suspected Creutzfeldt-Jakob Disease (CJD) requires further clarification.
  • Identifying reliable MRI biomarkers and their correlation with disease progression is crucial for early diagnosis.

Purpose of the Study:

  • To evaluate the diagnostic performance of specific in vivo MRI features for Creutzfeldt-Jakob Disease (CJD).
  • To assess the reliability of MRI feature detection and their variation with disease duration.
  • To determine if combining clinical and imaging data enhances CJD diagnostic accuracy.

Main Methods:

  • Prospective study of 200 patients with suspected CJD, comparing MRI findings with post-mortem histopathology.
  • Independent neuroradiologist assessment of MRI for atrophy, white matter hyperintensities, and basal ganglia/thalamic signals.
  • Logistic regression models used to analyze associations between MRI features, clinical variables, and CJD diagnosis.

Main Results:

  • A logistic regression model incorporating age, disease duration, atrophy, white matter hyperintensities, caudate signal, and pulvinar sign achieved 81% accuracy in classifying CJD.
  • Neuroradiologists showed highest agreement on the presence/absence of atrophy (84.5%).
  • No single imaging feature, including the pulvinar sign, independently predicted CJD after adjusting for other factors; no imaging feature correlated significantly with disease duration.

Conclusions:

  • Combining specific MRI features (atrophy, white matter hyperintensities, caudate/pulvinar signals) with clinical data (age, disease duration) offers good diagnostic accuracy for CJD.
  • While MRI is valuable, autopsy remains the definitive diagnostic method.
  • Further research is needed to investigate the pulvinar sign's association with specific CJD subtypes due to data limitations.

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