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Combining functional CT and FDG PET allows the calculation of FDG extraction fraction and hepatic glucose phosphorylation

Abstract

Perfusion data from Functional CT and FDG-PET data may be combined to provide additional information about the uptake of FDG. We have developed methods to calculate FDG extraction fraction in tissues and to quantify hepatic glucose phosphorylation in the liver. Extraction fraction: Functional CT and FDG-PET studies were used to obtain measurements of perfusion and glucose uptake respectively within ten pulmonary nodules. The net influx constant (Ki) was determined from SUV measurements for each lung mass Extraction fraction (E) for each mass lesion was determined from: E=Ki/(Px[1-Hct]). A pixel by pixel calculation allowed generation of extraction fraction maps. The extraction fraction measurements ranged (median) from 0.6% to 4.81% (2.7%). The values for a benign nodule and an organising pneumonia were 0.6% and 0.71% respectively. Extraction fraction measurements for the malignant nodules ranged from 2.01% to 4.81%. A clearer separation of benign and malignant lesions is seen with E values rather than with SUV. Hepatic Glucose Phosphorylation: Functional CT and FDG-PET were utilised to obtain measurements of perfusion and glucose uptake respectively within the livers of a series of 35 patients with colorectal cancer. Hepatic perfusion and the net influx constant were incorporated into FDG kinetic analysis to determine hepatic glucose  More>>
Authors:
Griffiths, M R; [1]  Wesley Research Institute, QLD (Australia)]; Miles, K A; [1]  Wesley Research Institute, QLD (Australia); Southern X-ray Clinics, Brisbane; [2]  Keith, C J [3] 
  1. Centre for Medical and Health Physics, Queensland University of Technology (Australia)
  2. Australia
  3. Wesley Research Institute, QLD (Australia)
Publication Date:
Sep 01, 2002
Product Type:
Journal Article
Resource Relation:
Journal Name: World Journal of Nuclear Medicine; Journal Volume: 1; Journal Issue: suppl.2; Conference: 8. Congress of the World Federation of Nuclear Medicine and Biology, Santiago (Chile), 29 Sep - 2 Oct 2002; Other Information: PBD: Sep 2002
Subject:
62 RADIOLOGY AND NUCLEAR MEDICINE; BLOOD FLOW; CARCINOMAS; COMPUTERIZED TOMOGRAPHY; FLUORINE 18; INFLAMMATION; PHOSPHORYLATION; POSITRON COMPUTED TOMOGRAPHY; RADIOPHARMACEUTICALS; UPTAKE
OSTI ID:
20339244
Country of Origin:
IAEA
Language:
English
Other Identifying Numbers:
Journal ID: ISSN 1450-1147; TRN: XA03W0252026595
Submitting Site:
INIS
Size:
page(s) 113
Announcement Date:
May 06, 2003

Citation Formats

Griffiths, M R, Wesley Research Institute, QLD (Australia)], Miles, K A, Wesley Research Institute, QLD (Australia), Southern X-ray Clinics, Brisbane, and Keith, C J. Combining functional CT and FDG PET allows the calculation of FDG extraction fraction and hepatic glucose phosphorylation. IAEA: N. p., 2002. Web.
Griffiths, M R, Wesley Research Institute, QLD (Australia)], Miles, K A, Wesley Research Institute, QLD (Australia), Southern X-ray Clinics, Brisbane, & Keith, C J. Combining functional CT and FDG PET allows the calculation of FDG extraction fraction and hepatic glucose phosphorylation. IAEA.
Griffiths, M R, Wesley Research Institute, QLD (Australia)], Miles, K A, Wesley Research Institute, QLD (Australia), Southern X-ray Clinics, Brisbane, and Keith, C J. 2002. "Combining functional CT and FDG PET allows the calculation of FDG extraction fraction and hepatic glucose phosphorylation." IAEA.
@misc{etde_20339244,
title = {Combining functional CT and FDG PET allows the calculation of FDG extraction fraction and hepatic glucose phosphorylation}
author = {Griffiths, M R, Wesley Research Institute, QLD (Australia)], Miles, K A, Wesley Research Institute, QLD (Australia), Southern X-ray Clinics, Brisbane, and Keith, C J}
abstractNote = {Perfusion data from Functional CT and FDG-PET data may be combined to provide additional information about the uptake of FDG. We have developed methods to calculate FDG extraction fraction in tissues and to quantify hepatic glucose phosphorylation in the liver. Extraction fraction: Functional CT and FDG-PET studies were used to obtain measurements of perfusion and glucose uptake respectively within ten pulmonary nodules. The net influx constant (Ki) was determined from SUV measurements for each lung mass Extraction fraction (E) for each mass lesion was determined from: E=Ki/(Px[1-Hct]). A pixel by pixel calculation allowed generation of extraction fraction maps. The extraction fraction measurements ranged (median) from 0.6% to 4.81% (2.7%). The values for a benign nodule and an organising pneumonia were 0.6% and 0.71% respectively. Extraction fraction measurements for the malignant nodules ranged from 2.01% to 4.81%. A clearer separation of benign and malignant lesions is seen with E values rather than with SUV. Hepatic Glucose Phosphorylation: Functional CT and FDG-PET were utilised to obtain measurements of perfusion and glucose uptake respectively within the livers of a series of 35 patients with colorectal cancer. Hepatic perfusion and the net influx constant were incorporated into FDG kinetic analysis to determine hepatic glucose phosphorylation fraction. SUV and Ki were significantly lower in the 12 patients with advanced disease (p=0.015 and p=0.013 respectively) whereas portal and total hepatic perfusion were increased (p=0.013 and p=0.008 respectively). Combining the PET and CT data yielded phosphorylation fractions of 1.14% and 0.74% for early and advanced disease respectively (p=0.002). By combining functional CT measurements of blood flow with PET measurements of FDG uptake, it is possible to calculate the extraction fraction of FDG and Hepatic glucose phosphorylation. The use of the extraction fraction has improved the distinction between malignant and inflammatory lesions. Hepatic glucose phosphorylation was seen to be significantly reduced in patients with more advanced malignancy. Reduced hepatic glucose phosphorylation may be an important mechanism in the development of cancer cachexia.}
journal = []
issue = {suppl.2}
volume = {1}
journal type = {AC}
place = {IAEA}
year = {2002}
month = {Sep}
}