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European Journal of Nuclear Medicine and Molecular Imaging
Published in: European Journal of Nuclear Medicine and Molecular Imaging 6/2007

01-06-2007 | Original Article

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

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 6/2007

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Abstract

Purpose

The impact of quantitative parameters on the differentiation of primary colorectal tumours from normal colon tissue was assessed. Dynamic PET data (DPET) were acquired, and compartment and non-compartment modelling applied. The discriminant power of single parameters and the combination of PET parameters was assessed. All lesions were confirmed by histology.

Methods

FDG DPET studies were acquired in 22 patients with colorectal tumours prior to surgery. Five of these patients also had liver metastases at the time of the PET study. The SUV 56–60 min p.i. was included in the evaluation. A two-tissue compartment model was applied and the parameters k 1–k 4 as well as the fractional blood volume (V B) were obtained. The FDG influx was calculated from the compartment data. Non-compartment modelling was used to calculate the fractal dimension (FD) of the time-activity data.

Results

FD, SUV, influx and k 3 were the most important single parameters for lesion differentiation. The highest accuracy was achieved for FD (88.78%). The overall tracer uptake was mainly dependent on k 3 and not on k 1 or V B. The support vector machines (SVM) algorithm was used to predict the classification based on the combination of individual PET parameters. The overall accuracy was 97.3%, with only one false positive case and no false negative results. The analysis of the subgroup of five patients with primary tumours and synchronous metastases revealed no significant differences for the individual PET parameters. However, V B tended to be lower while k 1 and k 2 were higher in patients with synchronous metastases. The SVM classification analysis predicted the presence of metastases based on the PET data of the primary tumour in three of five patients.

Conclusion

Quantitative FDG PET studies provide very accurate data for the differentiation of primary colorectal tumours from normal tissue. The use of quantitative data has the advantage that the detection of a colorectal tumour is not primarily dependent on the individual assessment and experience of the physician evaluating the FDG PET data only visually. The results suggest that the presence of metastatic lesions may be predicted by analysis of the dynamic PET data of the corresponding primary tumour. Further studies are needed to assess this aspect in detail.
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Metadata
Title
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
Publication date
01-06-2007
Publisher
Springer-Verlag
Published in
European Journal of Nuclear Medicine and Molecular Imaging / Issue 6/2007
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI
https://doi.org/10.1007/s00259-006-0319-8

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