Rapid quantitative CBF and CMRO2 measurements from a single PET scan with sequential administration of dual 15O-labeled tracers

Nobuyuki Kudomi, Yoshiyuki Hirano, Kazuhiro Koshino, Takuya Hayashi, Hiroshi Watabe, Kazuhito Fukushima, Hiroshi Moriwaki, Noboru Teramoto, Koji Iihara, Hidehiro Iida

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

Positron emission tomography (PET) with 15O tracers provides essential information in patients with cerebral vascular disorders, such as cerebral blood flow (CBF), oxygen extraction fraction (OEF), and metabolic rate of oxygen (CMRO2). However, most of techniques require an additional C 15O scan for compensating cerebral blood volume (CBV). We aimed to establish a technique to calculate all functional images only from a single dynamic PET scan, without losing accuracy or statistical certainties. The technique was an extension of previous dual-tracer autoradiography (DARG) approach, but based on the basis function method (DBFM), thus estimating all functional parametric images from a single session of dynamic scan acquired during the sequential administration of H 2 15O and 15O2. Validity was tested on six monkeys by comparing global OEF by PET with those by arteriovenous blood sampling, and tested feasibility on young healthy subjects. The mean DBFM-derived global OEF was 0.57±0.06 in monkeys, in an agreement with that by the arteriovenous method (0.54±0.06). Image quality was similar and no significant differences were seen from DARG; 3.57%±6.44% and 3.84%±3.42% for CBF, and-2.79%±11.2% and-6.68%±10.5% for CMRO2. A simulation study demonstrated similar error propagation between DBFM and DARG. The DBFM method enables accurate assessment of CBF and CMRO2 without additional CBV scan within significantly shortened examination period, in clinical settings.

Original languageEnglish
Pages (from-to)440-448
Number of pages9
JournalJournal of Cerebral Blood Flow and Metabolism
Volume33
Issue number3
DOIs
Publication statusPublished - 2013 Mar

Keywords

  • acute stroke
  • brain imaging
  • cerebral blood flow
  • kinetic modeling
  • positron emission tomography

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