Literature DB >> 19759105

Repeatability of 18F-FDG PET in a multicenter phase I study of patients with advanced gastrointestinal malignancies.

Linda M Velasquez1, Ronald Boellaard, Georgia Kollia, Wendy Hayes, Otto S Hoekstra, Adriaan A Lammertsma, Susan M Galbraith.   

Abstract

UNLABELLED: (18)F-FDG PET is often used to monitor tumor response in multicenter oncology clinical trials. This study assessed the repeatability of several semiquantitative standardized uptake values (mean SUV [SUV(mean)], maximum SUV [SUV(max)], peak SUV [SUV(peak)], and the 3-dimensional isocontour at 70% of the maximum pixel value [SUV(70%)]) as measured by repeated baseline (18)F-FDG PET studies in a multicenter phase I oncology trial.
METHODS: Double-baseline (18)F-FDG PET studies were acquired for 62 sequentially enrolled patients. Tumor metabolic activity was assessed by SUV(mean), SUV(max), SUV(peak), and SUV(70%). The effect on SUV repeatability of compliance with recommended image-acquisition guidelines and quality assurance (QA) standards was assessed. Summary statistics for absolute differences relative to the average of baseline values and repeatability analysis were performed for all patients and for a subgroup that passed QA, in both a multi- and a single-observer setting. Intrasubject precision of baseline measurements was assessed by repeatability coefficients, intrasubject coefficients of variation (CV), and confidence intervals on mean baseline differences for all SUV parameters.
RESULTS: The mean differences between the 2 SUV baseline measurements were small, varying from -2.1% to 1.9%, and the 95% confidence intervals for these mean differences had a maximum half-width of about 5.6% across the SUV parameters assessed. For SUV(max), the intrasubject CV varied from 10.7% to 12.8% for the QA multi- and single-observer datasets and was 16% for the full dataset. The 95% repeatability coefficients ranged from -28.4% to 39.6% for the QA datasets and up to -34.3% to 52.3% for the full dataset.
CONCLUSION: Repeatability results of double-baseline (18)F-FDG PET scans were similar for all SUV parameters assessed, for both the full and the QA datasets, in both the multi- and the single-observer settings. Centralized quality assurance and analysis of data improved intrasubject CV from 15.9% to 10.7% for averaged SUV(max). Thresholds for metabolic response in the multicenter multiobserver non-QA settings were -34% and 52% and in the range of -26% to 39% with centralized QA. These results support the use of (18)F-FDG PET for tumor assessment in multicenter oncology clinical trials.

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Year:  2009        PMID: 19759105     DOI: 10.2967/jnumed.109.063347

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  72 in total

1.  Variability in PET quantitation within a multicenter consortium.

Authors:  Frederic H Fahey; Paul E Kinahan; Robert K Doot; Mehmet Kocak; Harold Thurston; Tina Young Poussaint
Journal:  Med Phys       Date:  2010-07       Impact factor: 4.071

2.  Instrumentation factors affecting variance and bias of quantifying tracer uptake with PET/CT.

Authors:  R K Doot; J S Scheuermann; P E Christian; J S Karp; P E Kinahan
Journal:  Med Phys       Date:  2010-11       Impact factor: 4.071

3.  The engagement of FDG PET/CT image quality and harmonized quantification: from competitive to complementary.

Authors:  Ronald Boellaard
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-01       Impact factor: 9.236

4.  PET/MR brain imaging: evaluation of clinical UTE-based attenuation correction.

Authors:  Lars Birger Aasheim; Anna Karlberg; Pål Erik Goa; Asta Håberg; Sveinung Sørhaug; Unn-Merete Fagerli; Live Eikenes
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-04-22       Impact factor: 9.236

5.  Repeatability of 18F-FDG PET/CT in Advanced Non-Small Cell Lung Cancer: Prospective Assessment in 2 Multicenter Trials.

Authors:  Wolfgang A Weber; Constantine A Gatsonis; P David Mozley; Lucy G Hanna; Anthony F Shields; Denise R Aberle; Ramaswamy Govindan; Drew A Torigian; Joel S Karp; Jian Q Michael Yu; Rathan M Subramaniam; Robert A Halvorsen; Barry A Siegel
Journal:  J Nucl Med       Date:  2015-04-23       Impact factor: 10.057

Review 6.  Importance of quantification for the analysis of PET data in oncology: review of current methods and trends for the future.

Authors:  Giampaolo Tomasi; Federico Turkheimer; Eric Aboagye
Journal:  Mol Imaging Biol       Date:  2012-04       Impact factor: 3.488

7.  Longitudinal monitoring of reconstructed activity concentration on a clinical time-of-flight PET/CT scanner.

Authors:  Lawrence R MacDonald; Amy E Perkins; Chi-Hua Tung
Journal:  J Med Imaging (Bellingham)       Date:  2016-11-23

8.  A Virtual Clinical Trial of FDG-PET Imaging of Breast Cancer: Effect of Variability on Response Assessment.

Authors:  Robert L Harrison; Brian F Elston; Robert K Doot; Thomas K Lewellen; David A Mankoff; Paul E Kinahan
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

9.  Repeatability of gallium-68 DOTATOC positron emission tomographic imaging in neuroendocrine tumors.

Authors:  Yusuf Menda; Laura L Boles Ponto; Michael K Schultz; Gideon K D Zamba; G Leonard Watkins; David L Bushnell; Mark T Madsen; John J Sunderland; Michael M Graham; Thomas M O'Dorisio; M Sue O'Dorisio
Journal:  Pancreas       Date:  2013-08       Impact factor: 3.327

10.  Repeatability of Quantitative 18F-NaF PET: A Multicenter Study.

Authors:  Christie Lin; Tyler Bradshaw; Timothy Perk; Stephanie Harmon; Jens Eickhoff; Ngoneh Jallow; Peter L Choyke; William L Dahut; Steven Larson; John Laurence Humm; Scott Perlman; Andrea B Apolo; Michael J Morris; Glenn Liu; Robert Jeraj
Journal:  J Nucl Med       Date:  2016-07-21       Impact factor: 10.057

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