Literature DB >> 22414637

Multifunctional profiling of non-small cell lung cancer using 18F-FDG PET/CT and volume perfusion CT.

Alexander W Sauter1, Simeon Winterstein, Daniel Spira, Juergen Hetzel, Maximilian Schulze, Mark Mueller, Christina Pfannenberg, Claus D Claussen, Ernst Klotz, Claus Hann von Weyhern, Marius S Horger.   

Abstract

UNLABELLED: The aim of this study was to investigate correlations between glucose metabolism registered by (18)F-FDG PET/CT and tumor perfusion quantified by volume perfusion CT and immunohistochemical markers Ki67 and microvessel density (MVD) in patients with non-small cell lung cancer (NSCLC).
METHODS: Between February 2010 and April 2011, 24 consecutive patients (21 women, 3 men; mean age ± SD, 67.6 ± 6.8 y; age range, 55.6-81.3 y) with histologically proven NSCLC (14 adenocarcinoma, 9 squamous cell lung carcinoma [SCC], and 1 mixed adenocarcinoma and SCC) underwent (18)F-FDG PET/CT and additional volume perfusion CT. Maximum standardized uptake value (SUV(max)), mean SUV, and the metabolic tumor volume were used for (18)F-FDG uptake quantification. Blood flow (BF), blood volume (BV), flow extraction product (K(trans)), and standardized perfusion value (SPV) were determined as CT perfusion parameters. Both perfusion parameters and (18)F-FDG uptake values were subsequently related to the histologic subtypes, proliferation marker Ki67, MVD according to CD34 staining, and total tumor volume.
RESULTS: Mean SUV, SUV(max), and the metabolic tumor volume (mL) were 5.8, 8.7, and 32.3, respectively, in adenocarcinoma and 8.5, 12.9, and 16.8, respectively, in SCC. Mean BF (mL/100 mL/min), mean BV (mL/100 mL), and K(trans) (mL/100 mL/min) were 35.4, 7.3, and 27.8, respectively, in adenocarcinoma and 35.5, 10.0, and 27.8, respectively, in SCC. Moderate correlations were found between the (18)F-FDG PET/CT parameters and Ki67 as well as between CT perfusion parameters and MVD but not vice versa. For all tumors, the following correlations were found: between SUV(max) and Ki67, r = 0.762 (P = 0.017); between SUV(max) and MVD, r = -0.237 (P = 0.359); between mean BF and Ki67, r = -0.127 (P = 0.626); and between mean BF and MVD, r = 0.467 (P = 0.059). Interestingly, correlations between the BF-metabolic relationship and total tumor volume were higher in SCC (r = 0.762, P = 0.017) than in adenocarcinoma (r = -0.0791, P = 0.788).
CONCLUSION: (18)F-FDG uptake correlates with Ki67, whereas BF, BV, and K(trans) correlate with MVD. Therefore, (18)F-FDG uptake and perfusion parameters provide complementary functional information. An improved tumor profiling will be beneficial for both prognosis and therapy response evaluation in these tumors.

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Year:  2012        PMID: 22414637     DOI: 10.2967/jnumed.111.097865

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


  22 in total

1.  The asphericity of the metabolic tumour volume in NSCLC: correlation with histopathology and molecular markers.

Authors:  Ivayla Apostolova; Kilian Ego; Ingo G Steffen; Ralph Buchert; Heinz Wertzel; H Jost Achenbach; Sandra Riedel; Jens Schreiber; Meinald Schultz; Christian Furth; Thorsten Derlin; Holger Amthauer; Frank Hofheinz; Thomas Kalinski
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-07-28       Impact factor: 9.236

Review 2.  Image-derived biomarkers and multimodal imaging strategies for lung cancer management.

Authors:  Alexander W Sauter; Nina Schwenzer; Mathew R Divine; Bernd J Pichler; Christina Pfannenberg
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-01-09       Impact factor: 9.236

3.  Characterization of tumor heterogeneity using dynamic contrast enhanced CT and FDG-PET in non-small cell lung cancer.

Authors:  P Veit-Haibach; D De Ruysscher; W van Elmpt; M Das; Martin Hüllner; H Sharifi; K Zegers; B Reymen; P Lambin; J E Wildberger; E G C Troost
Journal:  Radiother Oncol       Date:  2013-09-14       Impact factor: 6.280

4.  Dual-phase dual-energy CT in patients with lung cancer: assessment of the additional value of iodine quantification in lymph node therapy response.

Authors:  Jan Baxa; Alena Vondráková; Táňa Matoušková; Olga Růžičková; Bernhard Schmidt; Thomas Flohr; Martin Sedlmair; Jiří Ferda
Journal:  Eur Radiol       Date:  2014-06-04       Impact factor: 5.315

5.  Dual-Phase Dual-Energy CT in Patients Treated with Erlotinib for Advanced Non-Small Cell Lung Cancer: Possible Benefits of Iodine Quantification in Response Assessment.

Authors:  Jan Baxa; Tana Matouskova; Gabriela Krakorova; Bernhard Schmidt; Thomas Flohr; Martin Sedlmair; Jiri Bejcek; Jiri Ferda
Journal:  Eur Radiol       Date:  2015-11-12       Impact factor: 5.315

6.  Feasibility of assessing pulmonary blood volume using C-arm CT during transpulmonary chemoperfusion and chemoembolization in primary and secondary lung tumours.

Authors:  Thomas J Vogl; Nour-Eldin A Nour-Eldin; Nagy N N Naguib; Thomas Lehnert; Hanns Ackermann; Renate Hammerstingl; Marcus Hezel
Journal:  Br J Radiol       Date:  2016-04-05       Impact factor: 3.039

Review 7.  Perfusion CT imaging of colorectal cancer.

Authors:  V Goh; R Glynne-Jones
Journal:  Br J Radiol       Date:  2014-02       Impact factor: 3.039

Review 8.  Multiparametric PET/CT in oncology.

Authors:  Dalveer Singh; Kenneth Miles
Journal:  Cancer Imaging       Date:  2012-09-28       Impact factor: 3.909

9.  Computed tomography perfusion (CTP) in primary lung cancer: Results from a tertiary care centre.

Authors:  Mufeed Arimbrakkunnan; Pawan K Garg; Pushpinder S Khera; Binit Sureka; Poonam Elhence; Puneet Pareek; Nishant Kumar Chauhan; Taruna Yadav
Journal:  Lung India       Date:  2022 May-Jun

10.  Correlation between the Uptake of 18F-Fluorodeoxyglucose (18F-FDG) and the Expression of Proliferation-Associated Antigen Ki-67 in Cancer Patients: A Meta-Analysis.

Authors:  Sheng-Ming Deng; Wei Zhang; Bin Zhang; Yin-Yin Chen; Ji-Hui Li; Yi-Wei Wu
Journal:  PLoS One       Date:  2015-06-03       Impact factor: 3.240

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