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Cancer Imaging

Open Access

Therapy response assessment with quantitative PET: evaluation of a shortened acquisition protocol with dynamic PET/CT

  • C Pfannenberg1Email author,
  • SC Schüle1,
  • C Brendle1,
  • J Schwenck1,
  • K Nikolaou1,
  • C La Fougère1 and
  • J Kupferschläger1
Cancer Imaging201414(Suppl 1):S1

Published: 9 October 2014


The results of SUV quantification for prediction of histopathological response in patients with oesophageal carcinoma show high variations with different accuracy. However, the routine use of a full dynamic PET is limited because of long acquisition times. We tested a shortened acquisition protocol for quantitative PET to overcome that limitation.

Material and methods

13 patients with histopathologically proven oesophageal adenocarcinoma underwent a combined dynamic and static 18F-FDG PET/CT including CT tumour perfusion (Siemens, Biograph mCT). Dynamic PET (listmode) was acquired for 60 min resulting in 38 frames from 10 to 600 sec duration for the full dynamic dataset and 2 frames each with 600 sec duration (20-30 min and 50-60 min p.i.) for dual time point PET (DTP). We evaluated the metabolic rate Ki using different models: 2-compartment irreversible model (Fit), Patlak plot and DTP (van den Hoff et al). The CT tumour perfusion protocol included the parameters blood flow, blood volume and permeability.


The metabolic rate Ki could be reliably reproduced independent of the analytical model; we observed only slight variations of Ki with respect to the analytical model: -4,9% (Patlak vs.Fit), -10% (DTP vs.Fit) and -5,1% (DTP vs.Patlak). A linear regression revealed a strong correlation of the Ki values: R² = 0,996 (Patlak vs. Fit), R² = 0,968 (DTP vs.Fit) and R² = 0,985 (Patlak vs. DTP).


The shortened dynamic acquisition protocol of DTP-PET is a reliable method for the determination of the metabolic rate Ki and can substitute a full dynamic scan for improved quantitative assessment of therapy response.

Authors’ Affiliations

Department of Radiology, Eberhard-Karls-University Tuebingen, Germany


© Pfannenberg et al; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.