Predicting AD conversion: comparison between prodromal AD guidelines and computer assisted PredictAD tool

Yawu Liu, Jussi Mattila, Miguel Ángel Muñoz Ruiz, Teemu Paajanen, Juha Koikkalainen, Mark van Gils, Sanna-Kaisa Herukka, Gunhild Waldemar, Jyrki Lötjönen, Hilkka Soininen, Alzheimer’s Disease Neuroimaging Initiative (ADNI)

36 Citations (Scopus)

Abstract

To compare the accuracies of predicting AD conversion by using a decision support system (PredictAD tool) and current research criteria of prodromal AD as identified by combinations of episodic memory impairment of hippocampal type and visual assessment of medial temporal lobe atrophy (MTA) on MRI and CSF biomarkers.
Original languageEnglish
JournalP L o S One
Volume8
Issue number2
Pages (from-to)e55246
ISSN1932-6203
DOIs
Publication statusPublished - 2013

Keywords

  • Aged
  • Alzheimer Disease
  • Decision Support Techniques
  • Diagnosis, Computer-Assisted
  • Female
  • Humans
  • Male
  • Mild Cognitive Impairment
  • Practice Guidelines as Topic
  • Prodromal Symptoms
  • Sensitivity and Specificity
  • Software

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