SUVref: reducing reconstruction-dependent variation in PET SUVReport as inadecuate

SUVref: reducing reconstruction-dependent variation in PET SUV - Download this document for free, or read online. Document in PDF available to download.

EJNMMI Research

, 1:16

First Online: 18 August 2011Received: 05 May 2011Accepted: 18 August 2011


BackgroundWe propose a new methodology, reference Standardised Uptake Value SUVref, for reducing the quantitative variation resulting from differences in reconstruction protocol. Such variation that is not directly addressed by the use of SUV or the recently proposed PERCIST can impede comparability between positron emission tomography PET-CT scans.

MethodsSUVref applies a reconstruction-protocol-specific phantom-optimised filter to clinical PET scans for the purpose of improving comparability of quantification. The ability of this filter to reduce variability due to differences in reconstruction protocol was assessed using both phantom and clinical data.

ResultsSUVref reduced the variability between recovery coefficients measured with the NEMA image quality phantom across a range of reconstruction protocols to below that measured for a single reconstruction protocol. In addition, it enabled quantitative conformance to the recently proposed EANM guidelines. For the clinical data, a significant reduction in bias and variance in the distribution of differences in SUV, resulting from differences in reconstruction protocol, greatly reduced the number of hot spots that would be misclassified as undergoing a clinically significant change in SUV.

ConclusionsSUVref significantly reduces reconstruction-dependent variation in SUV measurements, enabling increased confidence in quantitative comparison of clinical images for monitoring treatment response or disease progression. This new methodology could be similarly applied to reduce variability from scanner hardware.

KeywordsPET SUV reconstruction FDG PERCIST Electronic supplementary materialThe online version of this article doi:10.1186-2191-219X-1-16 contains supplementary material, which is available to authorized users.

Download fulltext PDF

Author: Matthew D Kelly - Jerome M Declerck


Related documents