Literature DB >> 9374364

Requirements and implementation of a flexible kinetic modeling tool.

C Burger1, A Buck.   

Abstract

UNLABELLED: Kinetic (or compartment) modeling is a highly versatile tool for the analysis of experiments within living systems. In PET, it is essential for developing tracers, for assessing tracer behavior and for extracting quantitative information about the target process. However, tools to support the modeling tasks involved are not easily available.
METHODS: This article presents a requirements analysis for kinetic modeling in PET. The interactive kinetic modeling tool KMZ implements many of these features. It facilitates model development by a set of predefined models and by the ease of introducing new models. Monte Carlo studies allow assessing parameter identifiability. The responses in the different compartments as well as the expected time-activity curve can be simulated for specific model configurations. For measured time-activity curves, model optimization can be performed by the Powell or the Marquardt algorithm. Both support weighted nonlinear least-squares fitting and allow optional constraints of parameter ranges. To further improve parameter estimation, the fitting of several regional time-activity curves can be coupled, resulting in lower standard errors for parameters common among regions. It is possible to highly automate the evaluation of study series and to forward the results into statistical analysis tools.
RESULTS: The KMZ tool has proven highly suitable in evaluating data from different types of studies, and the intuitive user interface enables medical doctors to successfully perform routine evaluations after a short training period.
CONCLUSION: A portable kinetic modeling tool with the described features would provide easy access to model development and may help consolidate kinetic modeling in clinical settings for well-defined applications.

Mesh:

Substances:

Year:  1997        PMID: 9374364

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


  46 in total

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3.  Comparison of the pharmacokinetics of 68Ga-DOTATOC and [18F]FDG in patients with metastatic neuroendocrine tumours scheduled for 90Y-DOTATOC therapy.

Authors:  Sophia Koukouraki; Ludwig G Strauss; Vassilios Georgoulias; Michael Eisenhut; Uwe Haberkorn; Antonia Dimitrakopoulou-Strauss
Journal:  Eur J Nucl Med Mol Imaging       Date:  2006-06-09       Impact factor: 9.236

4.  Evaluation of the pharmacokinetics of 68Ga-DOTATOC in patients with metastatic neuroendocrine tumours scheduled for 90Y-DOTATOC therapy.

Authors:  Sophia Koukouraki; Ludwig G Strauss; Vassilios Georgoulias; Jochen Schuhmacher; Uwe Haberkorn; Nikolaos Karkavitsas; Antonia Dimitrakopoulou-Strauss
Journal:  Eur J Nucl Med Mol Imaging       Date:  2006-01-17       Impact factor: 9.236

5.  Multimodal neuroimaging provides a highly consistent picture of energy metabolism, validating 31P MRS for measuring brain ATP synthesis.

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Authors:  Christos Sachpekidis; Hartmut Goldschmidt; Dirk Hose; Leyun Pan; Caixia Cheng; Klaus Kopka; Uwe Haberkorn; Antonia Dimitrakopoulou-Strauss
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-02-22       Impact factor: 9.236

8.  Integrated software environment based on COMKAT for analyzing tracer pharmacokinetics with molecular imaging.

Authors:  Yu-Hua Dean Fang; Pravesh Asthana; Cristian Salinas; Hsuan-Ming Huang; Raymond F Muzic
Journal:  J Nucl Med       Date:  2009-12-15       Impact factor: 10.057

9.  Treatment response evaluation with 18F-FDG PET/CT and 18F-NaF PET/CT in multiple myeloma patients undergoing high-dose chemotherapy and autologous stem cell transplantation.

Authors:  Christos Sachpekidis; J Hillengass; H Goldschmidt; B Wagner; U Haberkorn; K Kopka; A Dimitrakopoulou-Strauss
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-08-29       Impact factor: 9.236

10.  Evaluation of bone remodeling with (18)F-fluoride and correlation with the glucose metabolism measured by (18)F-FDG in lumbar spine with time in an experimental nude rat model with osteoporosis using dynamic PET-CT.

Authors:  Caixia Cheng; Christian Heiss; Antonia Dimitrakopoulou-Strauss; P Govindarajan; G Schlewitz; Leyun Pan; Reinhard Schnettler; Klaus Weber; Ludwig G Strauss
Journal:  Am J Nucl Med Mol Imaging       Date:  2013-03-08
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