an International Distributed Environment ) Isabella Castiglioni - - PowerPoint PPT Presentation

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SPM technique for DECIDE (Diagnostic Enhancement of Confidence by an International Distributed Environment ) Isabella Castiglioni Institute of Molecular Bioimaging and Physiology (IBFM) National Research Council (CNR), Italy DECIDE


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SPM technique for DECIDE (Diagnostic Enhancement of Confidence by an International Distributed Environment)

Isabella Castiglioni – Institute of Molecular Bioimaging and Physiology (IBFM) National Research Council (CNR), Italy DECIDE coordinator of JRA

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Assisted diagnosis assist physicians in the interpretation of medical images Diagnostic Enhancement of Confidence

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Computer-Aided Assisted (CAD) diagnosis CAD

  • Probability of a

specific disease

  • biomarker value
  • characteristic

pattern

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SPM: Statistical Parametric Mapping

  • developed by the Wellcome Trust Center for Neuroimaging (London, UK) in 1995

Maps of statistically significant hypo/hyper metabolic regions

  • free available (software package) to the scientific community since 1996

(spm96-spm2008) Friston KJ Holmes AP Worsley KJ Poline JB Frith CD and Frackowiak RSJ. (1995b) Statistical Parametric Maps in functional imaging: A general linear approach Hum. Brain Mapp. 2:189-210

  • btained by functional neuroimaging studies (es. 18FDG-PET)

Computer-Aided Assisted (CAD) diagnosis

  • characteristic metabolic

pattern

  • probability

e.g.“subject has a 95% chance of having that pattern.”

associated to a

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SPM: Statistical Parametric Mapping

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Analysis: voxel by voxel

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Comparison of N different conditions of a single subject Hypothesis CONDITIONS N

  • 1. health
  • 4. health

N-1. health

  • N. pathological

real CONDITIONS

  • 1. Health subject 1

N-1. health subject N-1

  • N. pathological

. . . . . . . . . . . . NORMATIVE GROUP

SPM and 18FDG PET for neurodegenerative studies

  • 2. health
  • 3. health
  • 2. Health subject 2
  • 3. Health subject 3
  • 4. Health subject 4
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Covariates of interests:

SPM and 18FDG PET for neurodegenerative studies

AGE SEX Normal aging hypometabolism Smaller brain, global lower metabolism

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t-test: single subject (suspected Alzheimer’s disease) vs group of normal subjects Hypo-metabolism Normal metabolism Results: Maps of statistically significant hypometabolic regions vs Analysis: voxel by voxel General Linear Model Statistical inference p<0.05

SPM and 18FDG PET for neurodegenerative studies

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Coregistration to standard atlas (Elestic deformation + affine traslation) Standard atlas Spatial rialignement +normalization Original images

SPM and 18FDG PET for neurodegenerative studies

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Smoothed images Spatially-normalized images Smoothing

SPM and 18FDG PET for neurodegenerative studies

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Patient images Spatial normalization standard atlas Smoothing Statistical parameter maps Genera l Linear Model parameter estimates Statistical design matrix Statistical inference p<0.05

SPM and 18FDG PET for neurodegenerative studies

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18F-FDG PET study: SPM Diagnostic report for a patient with suspected AD.

The coloured regions identified by SPM (retrosplenial cortex and bilateral temporal- parietal) are typical of AD pattern.

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SPM

  • Matlab licence
  • Normal subject database
  • Expertise in the use of SPM
  • Interaction with the software

interface during image processing Requirements

ISSUES

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SPM e-services for the assisted diagnosis of neurodegenerative diseases: the FP7-Eu project DECIDE (Diagnostic Enhancement of Confidence by an International Distributed Environment) THE SOLUTION

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SPM e-services in DECIDE (GridSPM) SPM

  • Matlab licence
  • Normal subject database
  • Expertise in the use of SPM
  • Interaction with the software

interface during image processing

  • Centralized/Grid porting

Requirements Requirements

  • Collected by DECIDE clinical partners
  • Process is simpified/Users are trained
  • Avoided
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SPM in DECIDE (GridSPM)

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SPM in DECIDE (GridSPM)

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SPM in DECIDE (GridSPM)

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Results file : Page 1

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Results file: Page 2

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Results file : Page 3

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Results file : Page 4