Shortened acquisition protocols for the quantitative assessment of the 2-tissue-compartment model using dynamic PET/CT 18F-FDG studies
18F-FDG kinetics are quantified by a 2-tissue-compartment model. The routine use of dynamic PET is limited because of this modality's 1-h acquisition time. We evaluated shortened acquisition protocols up to 0-30 min regarding the accuracy for data analysis with the 2-tissue-compartment model. M...
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| Main Authors: | , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
February 22, 2011
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| In: |
Journal of nuclear medicine
Year: 2011, Volume: 52, Issue: 3, Pages: 379-385 |
| ISSN: | 2159-662X |
| DOI: | 10.2967/jnumed.110.079798 |
| Online Access: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.2967/jnumed.110.079798 Verlag, lizenzpflichtig, Volltext: https://jnm.snmjournals.org/content/52/3/379 
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| Author Notes: | Ludwig G. Strauss, Leyun Pan, Caixia Cheng, Uwe Haberkorn, and Antonia Dimitrakopoulou-Strauss |
| Summary: | 18F-FDG kinetics are quantified by a 2-tissue-compartment model. The routine use of dynamic PET is limited because of this modality's 1-h acquisition time. We evaluated shortened acquisition protocols up to 0-30 min regarding the accuracy for data analysis with the 2-tissue-compartment model. Methods: Full dynamic series for 0-60 min were analyzed using a 2-tissue-compartment model. The time-activity curves and the resulting parameters for the model were stored in a database. Shortened acquisition data were generated from the database using the following time intervals: 0-10, 0-16, 0-20, 0-25, and 0-30 min. Furthermore, the impact of adding a 60-min uptake value to the dynamic series was evaluated. The datasets were analyzed using dedicated software to predict the results of the full dynamic series. The software is based on a modified support vector machines (SVM) algorithm and predicts the compartment parameters of the full dynamic series. Results: The SVM-based software provides user-independent results and was accurate at predicting the compartment parameters of the full dynamic series. If a squared correlation coefficient of 0.8 (corresponding to 80% explained variance of the data) was used as a limit, a shortened acquisition of 0-16 min was accurate at predicting the 60-min 2-tissue-compartment parameters. If a limit of 0.9 (90% explained variance) was used, a dynamic series of at least 0-20 min together with the 60-min uptake values is required. Conclusion: Shortened acquisition protocols can be used to predict the parameters of the 2-tissue-compartment model. Either a dynamic PET series of 0-16 min or a combination of a dynamic PET/CT series of 0-20 min and a 60-min uptake value is accurate for analysis with a 2-tissue-compartment model. |
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| Item Description: | Im Titel ist die Zahl 18 hochgestellt Gesehen am 24.10.2022 |
| Physical Description: | Online Resource |
| ISSN: | 2159-662X |
| DOI: | 10.2967/jnumed.110.079798 |