Assessment of a statistical AIF extraction method for dynamic PET studies with 15O water and 18F fluorodeoxyglucose in locally advanced breast cancer patients

  • Finbarr O'Sullivan
  • , Janet N. O'Sullivan
  • , Jian Huang
  • , Robert Doot
  • , Mark Muzi
  • , Erin Schubert
  • , Lanell Peterson
  • , Lisa K. Dunnwald
  • , David M. Mankoff

Research output: Contribution to journalArticlepeer-review

Abstract

Blood flow-metabolism mismatch from dynamic positron emission tomography (PET) studies with O15-labeled water (H2O) and F18-labeled fluorodeoxyglucose (FDG) has been shown to be a promising diagnostic for locally advanced breast cancer (LABCa) patients. The mismatch measurement involves kinetic analysis with the arterial blood time course (AIF) as an input function. We evaluate the use of a statistical method for AIF extraction (SAIF) in these studies. Fifty three LABCa patients had dynamic PET studies with H2O and FDG. For each PET study, two AIFs were recovered, an SAIF extraction and also a manual extraction based on a region of interest placed over the left ventricle (LV-ROI). Blood flow-metabolism mismatch was obtained with each AIF, and kinetic and prognostic reliability comparisons were made. Strong correlations were found between kinetic assessments produced by both AIFs. SAIF AIFs retained the full prognostic value, for pathologic response and overall survival, of LV-ROI AIFs.

Original languageEnglish
Article number011010
JournalJournal of Medical Imaging
Volume5
Issue number1
DOIs
Publication statusPublished - 1 Jan 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • AIF extraction
  • blood flow-metabolism mismatch
  • breast cancer
  • kinetic analysis
  • physiologically based pharmacokinetic model
  • positron emission tomography

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