Literature DB >> 26044552

Determination of the unmetabolised (18)F-FDG fraction by using an extension of simplified kinetic analysis method: clinical evaluation in paragangliomas.

Dominique Barbolosi1, Sebastien Hapdey2,3, Stephanie Battini1, Christian Faivre1, Julien Mancini4,5, Karel Pacak6, Bardia Farman-Ara7, David Taïeb8.   

Abstract

Tumours with high (18)F-FDG uptake values on static late PET images do not always exhibit high proliferation indices. These discrepancies might be related to high proportion of unmetabolised (18)F-FDG components in the tissues. We propose a method that enables to calculate different (18)F-FDG kinetic parameters based on a new mathematical approach that integrates a measurement error model. Six patients with diagnosed non-metastatic paragangliomas (PGLs) and six control patients with different types of lesions were investigated in this pilot study using (18)F-FDG PET/CT. In all cases, a whole-body acquisition was followed by four static acquisitions centred over the target lesions, associated with venous blood samplings. We used an extension of the Hunter's method to calculate the net influx rate constant (K H). The exact net influx rate constant and vascular volume fraction (K i and V, respectively) were subsequently obtained by the method of least squares. Next, we calculated the mean percentages of metabolised (PM) and unmetabolised (PUM) (18)F-FDG components, and the times required to reach 80 % of the amount of metabolised (18)F-FDG (T80%). A test-retest evaluation indicated that the repeatability of our approach was accurate; the coefficients of variation were below 2 % regardless of the kinetic parameters considered. We observed that the PGLs were characterised by high dispersions of the maximum standardised uptake value SUVmax (9.7 ± 11, coefficient of variation CV = 114 %), K i (0.0137 ± 0.0119, CV = 87 %), and V (0.292 ± 0.306, CV = 105 %) values. The PGLs were associated with higher PUM (p = 0.02) and T80% (p = 0.02) values and lower k 3 (p = 0.02) values compared to the malignant lesions despite the similar SUVmax values (p = 0.55). The estimations of these new kinetic parameters are more accurate than SUVmax or K i for in vivo metabolic assessment of PGLs at the molecular level.

Entities:  

Keywords:  Mathematical modelling; Paraganglioma; Positron emission tomography; Radionuclide imaging

Mesh:

Substances:

Year:  2015        PMID: 26044552      PMCID: PMC4670610          DOI: 10.1007/s11517-015-1318-3

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  26 in total

1.  SUV: standard uptake or silly useless value?

Authors:  J W Keyes
Journal:  J Nucl Med       Date:  1995-10       Impact factor: 10.057

2.  Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data.

Authors:  C S Patlak; R G Blasberg; J D Fenstermacher
Journal:  J Cereb Blood Flow Metab       Date:  1983-03       Impact factor: 6.200

3.  Comparison of clinical and imaging features in succinate dehydrogenase-positive versus sporadic paragangliomas.

Authors:  Aradhana M Venkatesan; Hari Trivedi; Karen T Adams; Electron Kebebew; Karel Pacak; Marybeth S Hughes
Journal:  Surgery       Date:  2011-12       Impact factor: 3.982

4.  Expression of HIF-1alpha, HIF-2alpha (EPAS1), and their target genes in paraganglioma and pheochromocytoma with VHL and SDH mutations.

Authors:  Patrick J Pollard; Mona El-Bahrawy; Richard Poulsom; George Elia; Pip Killick; Gavin Kelly; Toby Hunt; Rosemary Jeffery; Pooja Seedhar; Julian Barwell; Farida Latif; Michael J Gleeson; Shirley V Hodgson; Gordon W Stamp; Ian P M Tomlinson; Eamonn R Maher
Journal:  J Clin Endocrinol Metab       Date:  2006-09-05       Impact factor: 5.958

5.  Dynamic PET 18F-FDG studies in patients with primary and recurrent soft-tissue sarcomas: impact on diagnosis and correlation with grading.

Authors:  A Dimitrakopoulou-Strauss; L G Strauss; M Schwarzbach; C Burger; T Heichel; F Willeke; G Mechtersheimer; T Lehnert
Journal:  J Nucl Med       Date:  2001-05       Impact factor: 10.057

6.  Integrative genomic analysis reveals somatic mutations in pheochromocytoma and paraganglioma.

Authors:  Nelly Burnichon; Laure Vescovo; Laurence Amar; Rossella Libé; Aurélien de Reynies; Annabelle Venisse; Elodie Jouanno; Ingrid Laurendeau; Béatrice Parfait; Jérôme Bertherat; Pierre-François Plouin; Xavier Jeunemaitre; Judith Favier; Anne-Paule Gimenez-Roqueplo
Journal:  Hum Mol Genet       Date:  2011-07-22       Impact factor: 6.150

7.  Staging and functional characterization of pheochromocytoma and paraganglioma by 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography.

Authors:  Henri J L M Timmers; Clara C Chen; Jorge A Carrasquillo; Millie Whatley; Alexander Ling; Graeme Eisenhofer; Kathryn S King; Jyotsna U Rao; Robert A Wesley; Karen T Adams; Karel Pacak
Journal:  J Natl Cancer Inst       Date:  2012-04-18       Impact factor: 13.506

8.  Comparison of 18F-fluoro-L-DOPA, 18F-fluoro-deoxyglucose, and 18F-fluorodopamine PET and 123I-MIBG scintigraphy in the localization of pheochromocytoma and paraganglioma.

Authors:  Henri J L M Timmers; Clara C Chen; Jorge A Carrasquillo; Millie Whatley; Alexander Ling; Bastiaan Havekes; Graeme Eisenhofer; Lucia Martiniova; Karen T Adams; Karel Pacak
Journal:  J Clin Endocrinol Metab       Date:  2009-10-28       Impact factor: 5.958

9.  Estimation of myocardial glucose utilisation with PET using the left ventricular time-activity curve as a non-invasive input function.

Authors:  X Li; D Feng; K P Lin; S C Huang
Journal:  Med Biol Eng Comput       Date:  1998-01       Impact factor: 2.602

10.  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

View more
  7 in total

1.  The Evolving Role of Succinate in Tumor Metabolism: An 18F-FDG-Based Study.

Authors:  Philippe Garrigue; Aurore Bodin-Hullin; Laure Balasse; Samantha Fernandez; Wassim Essamet; Françoise Dignat-George; Karel Pacak; Benjamin Guillet; David Taïeb
Journal:  J Nucl Med       Date:  2017-06-15       Impact factor: 10.057

2.  An alternative parameter for early forecasting clinical response in NSCLC patients during radiotherapy: proof of concept study.

Authors:  Laetitia Padovani; Aurelie Baret; Joseph Ciccolini; David Taieb; Farman Bardia; Laetitia Teissonnier; Xavier Muracciole; Fabrice Barlesi; Dominique Barbolosi
Journal:  Br J Radiol       Date:  2016-04-04       Impact factor: 3.039

3.  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

4.  Lymph node standardized uptake values at pre-treatment 18F-fluorodeoxyglucose positron emission tomography as a valuable prognostic factor for distant metastasis in nasopharyngeal carcinoma.

Authors:  Yuri Jeong; Seunghee Baek; Jae W Park; Ji H Joo; Jae S Kim; Sang-Wook Lee
Journal:  Br J Radiol       Date:  2016-12-23       Impact factor: 3.039

Review 5.  Functional Imaging of Paragangliomas with an Emphasis on Von Hippel-Lindau-Associated Disease: A Mini Review.

Authors:  Ioannis Ilias; Georgios Meristoudis
Journal:  J Kidney Cancer VHL       Date:  2017-09-04

6.  Preclinical Biokinetic Modelling of Tc-99m Radiophamaceuticals Obtained from Semi-Automatic Image Processing.

Authors:  Luz G Cornejo-Aragón; Clara L Santos-Cuevas; Blanca E Ocampo-García; Isaac Chairez-Oria; Lorenza Diaz-Nieto; Janice García-Quiroz
Journal:  J Med Biol Eng       Date:  2017-06-19       Impact factor: 1.553

7.  A new methodology to derive 3D kinetic parametric FDG PET images based on a mathematical approach integrating an error model of measurement.

Authors:  Elyse Colard; Sarkis Delcourt; Laetitia Padovani; Sébastien Thureau; Arthur Dumouchel; Pierrick Gouel; Justine Lequesne; Bardia Farman Ara; Pierre Vera; David Taïeb; Isabelle Gardin; Dominique Barbolosi; Sébastien Hapdey
Journal:  EJNMMI Res       Date:  2018-11-15       Impact factor: 3.138

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.