Literature DB >> 24116350

Dynamic PET with (18)F-Deoxyglucose (FDG) and quantitative assessment with a two-tissue compartment model reflect the activity of glucose transporters and hexokinases in patients with colorectal tumors.

Ludwig G Strauss1, Dirk Koczan, Sven Klippel, Leyun Pan, Stefan Willis, Christos Sachpekidis, Antonia Dimitrakopoulou-Strauss.   

Abstract

Dynamic PET (dPET) with (18)F-Deoxyglucose (FDG) provides quantitative information about distribution of the tracer in a predefined volume over time. A two-tissue compartment model can be used to obtain quantitative data regarding transport of FDG into and out of the cells, phosphorylation and dephosphorylation rate of intracellular FDG, and fractional blood volume in the target volume, also named vessel density. Aim of the study was the correlation of glucose transporters expression and hexokinases with the corresponding compartment parameters.Patients with colorectal tumors were examined with dynamic PET prior to surgery. Afterwards, tumor samples were obtained during surgery and gene expression was assessed using gene arrays. The dynamic PET data were evaluated to quantify the parameters of a two tissue compartment model for colorectal tumors using a Volume-of-Interest (VOI) technique. A multiple correlation/regression analysis was performed using glucose transporters as independent variables and k1 as the dependent variable. A correlation of r=0.7503 (p=0.03) was obtained for the transporters SLC2A1, SLC2A2, SLC2A4, SLC2A8, SLC2A9, SLC2A10 and k1. The correlation of r=0.7503 refers to an explained variance of data of 56.30 %, therefore more than 50 % of data changes are associated with the gene expression. An analysis of the hexokinases HK1-HK3 and k3 revealed a correlation coefficient of r=0.6093 (p=0.04), which is associated with an explained variance of 37.12 %. Therefore, parameters k1 and k3 reflect gene activity. The results demonstrate that k1 and k3 of the two-tissue compartment model are correlated with glucose transporters and hexokinases.

Entities:  

Keywords:  Dynamic PET; compartment model; glucose transporter; hexokinase

Year:  2013        PMID: 24116350      PMCID: PMC3784805     

Source DB:  PubMed          Journal:  Am J Nucl Med Mol Imaging


  17 in total

1.  Fusion of positron emission tomography (PET) and gene array data: a new approach for the correlative analysis of molecular biological and clinical data.

Authors:  Ludwig G Strauss; Leyun Pan; Dirk Koczan; Sven Klippel; Krzysztof Mikolajczyk; Cyrill Burger; Uwe Haberkorn; Klaus Schönleben; Hans-Jürgen Thiesen; Antonia Dimitrakopoulou-Strauss
Journal:  IEEE Trans Med Imaging       Date:  2007-06       Impact factor: 10.048

2.  Shortened acquisition protocols for the quantitative assessment of the 2-tissue-compartment model using dynamic PET/CT 18F-FDG studies.

Authors:  Ludwig G Strauss; Leyun Pan; Caixia Cheng; Uwe Haberkorn; Antonia Dimitrakopoulou-Strauss
Journal:  J Nucl Med       Date:  2011-02-14       Impact factor: 10.057

3.  FDG uptake, tumor proliferation and expression of glycolysis associated genes in animal tumor models.

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Journal:  Nucl Med Biol       Date:  1994-08       Impact factor: 2.408

4.  Impact of cell-proliferation-associated gene expression on 2-deoxy-2-[(18)f]fluoro-D-glucose (FDG) kinetics as measured by dynamic positron emission tomography (dPET) in colorectal tumors.

Authors:  Ludwig G Strauss; Dirk Koczan; Sven Klippel; Leyun Pan; Caixia Cheng; Uwe Haberkorn; Stefan Willis; Antonia Dimitrakopoulou-Strauss
Journal:  Mol Imaging Biol       Date:  2010-12-10       Impact factor: 3.488

5.  The role of quantitative (18)F-FDG PET studies for the differentiation of malignant and benign bone lesions.

Authors:  Antonia Dimitrakopoulou-Strauss; Ludwig G Strauss; Thomas Heichel; Hua Wu; Cyrill Burger; Ludger Bernd; Volker Ewerbeck
Journal:  J Nucl Med       Date:  2002-04       Impact factor: 10.057

6.  ¹⁸F-fluoro-2-deoxyglucose uptake on PET CT and glucose transporter 1 expression in colorectal adenocarcinoma.

Authors:  Ran Hong; Sung-Chul Lim
Journal:  World J Gastroenterol       Date:  2012-01-14       Impact factor: 5.742

7.  [Longitudinal analysis of glucose metabolism in recurrent meningioma].

Authors:  H Shioya; K Mineura; T Sasajima; M Kowada; H Iida; T Ogawa; J Hatazawa; K Uemura
Journal:  No To Shinkei       Date:  1994-11

8.  Comparison of 18F-fluorodeoxyglucose uptake with the expressions of glucose transporter type 1 and Na+/I- symporter in patients with untreated papillary thyroid carcinoma.

Authors:  Seung Hwan Moon; Young Lyun Oh; Joon Young Choi; Chung-Hwan Baek; Young-Ik Son; Han-Sin Jeong; Yearn Seong Choe; Kyung-Han Lee; Byung-Tae Kim
Journal:  Endocr Res       Date:  2012-08-13       Impact factor: 1.720

9.  Evaluation of liver tumors using fluorine-18-fluorodeoxyglucose PET: characterization of tumor and assessment of effect of treatment.

Authors:  S Okazumi; K Isono; K Enomoto; T Kikuchi; M Ozaki; H Yamamoto; H Hayashi; T Asano; M Ryu
Journal:  J Nucl Med       Date:  1992-03       Impact factor: 10.057

10.  Assessment of quantitative FDG PET data in primary colorectal tumours: which parameters are important with respect to tumour detection?

Authors:  Ludwig G Strauss; Sven Klippel; Leyun Pan; Klaus Schönleben; Uwe Haberkorn; Antonia Dimitrakopoulou-Strauss
Journal:  Eur J Nucl Med Mol Imaging       Date:  2007-01-12       Impact factor: 10.057

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  6 in total

1.  Metabolic Subtyping of Pheochromocytoma and Paraganglioma by 18F-FDG Pharmacokinetics Using Dynamic PET/CT Scanning.

Authors:  Anouk van Berkel; Dennis Vriens; Eric P Visser; Marcel J R Janssen; Martin Gotthardt; Ad R M M Hermus; Lioe-Fee de Geus-Oei; Henri J L M Timmers
Journal:  J Nucl Med       Date:  2018-11-09       Impact factor: 10.057

2.  On the potential for RF heating in MRI to affect metabolic rates and 18 FDG signal in PET/MR: simulations of long-duration, maximum normal mode heating.

Authors:  Giuseppe Carluccio; Yu-Shin Ding; Jean Logan; Christopher M Collins
Journal:  Med Phys       Date:  2017-01-30       Impact factor: 4.071

3.  PET imaging of bacterial infections with fluorine-18-labeled maltohexaose.

Authors:  Xinghai Ning; Wonewoo Seo; Seungjun Lee; Kiyoko Takemiya; Mohammad Rafi; Xuli Feng; Daiana Weiss; Xiaojian Wang; Larry Williams; Vernon M Camp; Malveaux Eugene; W Robert Taylor; Mark Goodman; Niren Murthy
Journal:  Angew Chem Int Ed Engl       Date:  2014-10-21       Impact factor: 15.336

4.  Quantitative graphical analysis of simultaneous dynamic PET/MRI for assessment of prostate cancer.

Authors:  Andrew B Rosenkrantz; Thomas Koesters; Anne-Kristin Vahle; Kent Friedman; Rachel M Bartlett; Samir S Taneja; Yu-Shin Ding; Jean Logan
Journal:  Clin Nucl Med       Date:  2015-04       Impact factor: 7.794

5.  Does whole-body Patlak 18F-FDG PET imaging improve lesion detectability in clinical oncology?

Authors:  Guillaume Fahrni; Nicolas A Karakatsanis; Giulia Di Domenicantonio; Valentina Garibotto; Habib Zaidi
Journal:  Eur Radiol       Date:  2019-01-28       Impact factor: 5.315

6.  Radiogenomic Analysis of F-18-Fluorodeoxyglucose Positron Emission Tomography and Gene Expression Data Elucidates the Epidemiological Complexity of Colorectal Cancer Landscape.

Authors:  Efstathios-Iason Vlachavas; Eleftherios Pilalis; Olga Papadodima; Dirk Koczan; Stefan Willis; Sven Klippel; Caixia Cheng; Leyun Pan; Christos Sachpekidis; Alexandros Pintzas; Vasilis Gregoriou; Antonia Dimitrakopoulou-Strauss; Aristotelis Chatziioannou
Journal:  Comput Struct Biotechnol J       Date:  2019-01-25       Impact factor: 7.271

  6 in total

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