Literature DB >> 21078791

Repeatability of metabolically active volume measurements with 18F-FDG and 18F-FLT PET in non-small cell lung cancer.

Virginie Frings1, Adrianus J de Langen, Egbert F Smit, Floris H P van Velden, Otto S Hoekstra, Harm van Tinteren, Ronald Boellaard.   

Abstract

UNLABELLED: In addition to tumor size measurements with CT, there is a need for quantitative measurements of metabolic active volumes, possibly adding to tracer uptake measurements in oncologic response evaluation with PET. The aim of this study was to evaluate the metabolic volume test-retest variability in (18)F-FDG and 3'-deoxy-3'-(18)F-fluorothymidine ((18)F-FLT) PET studies for various commonly used volumes of interest (VOIs) and the dependence of that variability on lesion size and relative radiotracer uptake.
METHODS: Twenty non-small cell lung cancer patients were scanned twice with (18)F-FDG (n = 11) or (18)F-FLT (n = 9). VOIs were defined on images reconstructed with normalization- and attenuation-weighted ordered-subset expectation maximization using 4 isocontours (A41%, A50%, and A70% thresholds, adapted for local background, and 50% threshold, uncorrected for background). Statistical analysis comprised intraclass correlation coefficients and Bland-Altman analysis.
RESULTS: In the (18)F-FDG and (18)F-FLT groups, 34 and 20 lesions, respectively, were analyzed. Median volumes at the A50% threshold were 3.31 and 2.19 mL (interquartile range, 1.91-8.90 and 1.52-7.27 mL) for (18)F-FDG and (18)F-FLT, respectively. Intraclass correlation coefficients were greater than 0.9, with the exception of the A70%-based metabolic volumes for (18)F-FLT. For lesions greater than 4.2 mL, repeatability coefficients (RCs = 1.96 × SD) of the percentage difference ranged from 22% to 37% for (18)F-FDG and from 39% to 73% for (18)F-FLT, depending on the VOI method being used. Repeatability was better for larger tumors, but there was no dependence on absolute uptake (standardized uptake value).
CONCLUSION: Results indicate that changes of greater than 37% for (18)F-FDG and greater than 73% for (18)F-FLT (1.96 × SD) for lesions with A50% metabolic volumes greater than 4.2 mL represent a biologic effect. For smaller lesions (A50% VOI < 4.2 mL), an absolute change of 1.0 and 0.9 mL for (18)F-FDG and (18)F-FLT, respectively, is biologically relevant. Considering the balance between the success rate of automatic tumor delineation and repeatability of metabolic volume, a 50% threshold with correction for local background activity (A50%) seems optimal among the VOI methods evaluated.

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Year:  2010        PMID: 21078791     DOI: 10.2967/jnumed.110.077255

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


  55 in total

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Authors:  Hebert Alberto Vargas; Gem M Kramer; Andrew M Scott; Andrew Weickhardt; Andreas A Meier; Nicole Parada; Bradley J Beattie; John L Humm; Kevin D Staton; Pat B Zanzonico; Serge K Lyashchenko; Jason S Lewis; Maqsood Yaqub; Ramon E Sosa; Alfons J van den Eertwegh; Ian D Davis; Uwe Ackermann; Kunthi Pathmaraj; Robert C Schuit; Albert D Windhorst; Sue Chua; Wolfgang A Weber; Steven M Larson; Howard I Scher; Adriaan A Lammertsma; Otto S Hoekstra; Michael J Morris
Journal:  J Nucl Med       Date:  2018-04-06       Impact factor: 10.057

2.  Classification and evaluation strategies of auto-segmentation approaches for PET: Report of AAPM task group No. 211.

Authors:  Mathieu Hatt; John A Lee; Charles R Schmidtlein; Issam El Naqa; Curtis Caldwell; Elisabetta De Bernardi; Wei Lu; Shiva Das; Xavier Geets; Vincent Gregoire; Robert Jeraj; Michael P MacManus; Osama R Mawlawi; Ursula Nestle; Andrei B Pugachev; Heiko Schöder; Tony Shepherd; Emiliano Spezi; Dimitris Visvikis; Habib Zaidi; Assen S Kirov
Journal:  Med Phys       Date:  2017-05-18       Impact factor: 4.071

3.  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

4.  Tumour microenvironment heterogeneity affects the perceived spatial concordance between the intratumoural patterns of cell proliferation and 18F-fluorothymidine uptake.

Authors:  Marian Axente; Jun He; Christopher P Bass; Jerry I Hirsch; Gobalakrishnan Sundaresan; Jeffrey Williamson; Jamal Zweit; Andrei Pugachev
Journal:  Radiother Oncol       Date:  2012-03-21       Impact factor: 6.280

5.  Variability of ¹⁸F-FDG-positive lung lesion volume by thresholding.

Authors:  Eric Laffon; Henri de Clermont; Roger Marthan
Journal:  Eur Radiol       Date:  2012-10-20       Impact factor: 5.315

6.  Stability of FDG-PET Radiomics features: an integrated analysis of test-retest and inter-observer variability.

Authors:  Ralph T H Leijenaar; Sara Carvalho; Emmanuel Rios Velazquez; Wouter J C van Elmpt; Chintan Parmar; Otto S Hoekstra; Corneline J Hoekstra; Ronald Boellaard; André L A J Dekker; Robert J Gillies; Hugo J W L Aerts; Philippe Lambin
Journal:  Acta Oncol       Date:  2013-09-09       Impact factor: 4.089

7.  Natural growth and disease progression of non-small cell lung cancer evaluated with 18F-fluorodeoxyglucose PET/CT.

Authors:  Jingbo Wang; Pawinee Mahasittiwat; Ka Kit Wong; Leslie E Quint; Feng-Ming Spring Kong
Journal:  Lung Cancer       Date:  2012-07-28       Impact factor: 5.705

8.  Combined Injection of (18)F-Fluorodeoxyglucose and 3'-Deoxy-3'-[(18)F]fluorothymidine PET Achieves More Complete Identification of Viable Lung Cancer Cells in Mice and Patients than Individual Radiopharmaceutical: A Proof-of-Concept Study.

Authors:  Xiao-Feng Li; Tao Huang; Huijie Jiang; Xuemei Wang; Baozhong Shen; Xiangcheng Wang; Chin K Ng; Gregory C Postel; A Cahid Civelek
Journal:  Transl Oncol       Date:  2013-12-01       Impact factor: 4.243

9.  Metabolic tumour volumes measured at staging in lymphoma: methodological evaluation on phantom experiments and patients.

Authors:  Michel Meignan; Myriam Sasanelli; René Olivier Casasnovas; Stefano Luminari; Federica Fioroni; Chiara Coriani; Helene Masset; Emmanuel Itti; Paolo G Gobbi; Francesco Merli; Annibale Versari
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-02-26       Impact factor: 9.236

10.  Predictive and prognostic value of metabolic tumour volume and total lesion glycolysis in solid tumours.

Authors:  Christophe Van de Wiele; Vibeke Kruse; Peter Smeets; Mike Sathekge; Alex Maes
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-11-14       Impact factor: 9.236

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