Longitudinal and cross-sectional analysis of atrophy in Alzheimer's disease: Cross-validation of BSI, SIENA and SIENAX

Stephen M. Smith, Anil Rao, Nicola De Stefano, Mark Jenkinson, Jonathan M. Schott, Paul M. Matthews, Nick C. Fox

Research output: Contribution to journalArticlepeer-review

95 Citations (Scopus)


Brain volume loss (atrophy) is widely used as a marker of disease progression. Atrophy has been measured with a variety of methods, some estimating atrophy rate from two temporally separated scans, and others estimating atrophy state from a single scan. Three popular tools for measuring brain atrophy are BSI and SIENA (rate) and SIENAX (state). Previous papers have shown BSI and SIENA to have similar accuracy, but no work has carefully compared both methods using the same data set. Here we compare these methods, using data from patients with Alzheimer's disease and age-matched controls. We also compare the SIENA longitudinal measure with atrophy state estimated by SIENAX using just the earliest scan taken from each subject. We show strong correspondence and similar sensitivity to atrophy between all 3 measures.

Original languageEnglish
Pages (from-to)1200-1206
Number of pages7
Issue number4
Publication statusPublished or Issued - 15 Jul 2007
Externally publishedYes

ASJC Scopus subject areas

  • Neurology
  • Cognitive Neuroscience

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