Difference between revisions of "Slicer3:UIDesign:WorkingProblems:BCAnalysis:PET"

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(Created page with 'Back to Project Overview = SUV Analysis for Breast Cancer =')
 
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= SUV Analysis for Breast Cancer =
 
= SUV Analysis for Breast Cancer =
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== Goal==
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Goal is to accommodate basic RECIST assessment for breast cancer (Response Evaluation Criteria In Solid Tumors). (RECIST is a set of published rules that define when cancer patients improve ("respond"), stay the same ("stable") or worsen ("progression") during treatments).
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* Determine features that currently exist in Slicer
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* Develop features that don't
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* Provide a framework that knits features together in a comfortable workflow.
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== PET SUV Analysis Workflow ==
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* Segment the tumor by hand (ROI or VOI, can be simple circle or ellipsoid)
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* Compute SUV of '''baseline'''
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** extract parameters from dicom header including
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*** concentration
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*** injected activity
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*** patient weight
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** SUV = ( concentration (microcuries/cc) / injected activity (microcuries) ) - (patient weight (g))
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** use maximum value
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* Normalize ROI by SUVmax
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* Compute SUV of '''followup'''
 +
** extract parameters from dicom header including
 +
*** concentration
 +
*** injected activity
 +
*** patient weight
 +
** SUV = ( concentration (microcuries/cc) / injected activity (microcuries) ) - (patient weight (g))
 +
** use maximum value
 +
* Normalize ROI by SUVmax
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* Resport parameters of interest
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** SUVmax_baseline,
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** SUVmax_followup,
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** % change
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* For multiple tumors, report
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** sum of SUV_baselines
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** sum of SUV_followup
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** percent change

Revision as of 11:37, 6 August 2009

Home < Slicer3:UIDesign:WorkingProblems:BCAnalysis:PET

Back to Project Overview

SUV Analysis for Breast Cancer

Goal

Goal is to accommodate basic RECIST assessment for breast cancer (Response Evaluation Criteria In Solid Tumors). (RECIST is a set of published rules that define when cancer patients improve ("respond"), stay the same ("stable") or worsen ("progression") during treatments).

  • Determine features that currently exist in Slicer
  • Develop features that don't
  • Provide a framework that knits features together in a comfortable workflow.

PET SUV Analysis Workflow

  • Segment the tumor by hand (ROI or VOI, can be simple circle or ellipsoid)
  • Compute SUV of baseline
    • extract parameters from dicom header including
      • concentration
      • injected activity
      • patient weight
    • SUV = ( concentration (microcuries/cc) / injected activity (microcuries) ) - (patient weight (g))
    • use maximum value
  • Normalize ROI by SUVmax
  • Compute SUV of followup
    • extract parameters from dicom header including
      • concentration
      • injected activity
      • patient weight
    • SUV = ( concentration (microcuries/cc) / injected activity (microcuries) ) - (patient weight (g))
    • use maximum value
  • Normalize ROI by SUVmax
  • Resport parameters of interest
    • SUVmax_baseline,
    • SUVmax_followup,
    •  % change
  • For multiple tumors, report
    • sum of SUV_baselines
    • sum of SUV_followup
    • percent change