Image-Derived Input Function from the Vena Cava for18F-FDG PET Studies in Rats and Mice
| Autor: | Carole Poitry-Yamate, Rolf Gruetter, Bernard Lanz |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Pathology
medicine.medical_specialty Vena cava Blood volume ddc:616.0757 030218 nuclear medicine & medical imaging 18f fdg pet Mice 03 medical and health sciences 0302 clinical medicine Fluorodeoxyglucose F18 CIBM-PET Image Processing Computer-Assisted medicine Animals Radiology Nuclear Medicine and imaging Arterial input function Radioactive Tracers CIBM-AIT business.industry Input function Arterial tree Rats Positron-Emission Tomography Venae Cavae Bolus (digestion) Nuclear medicine business 030217 neurology & neurosurgery Blood sampling |
| Zdroj: | Journal of Nuclear Medicine, Vol. 55, No 8 (2014) pp. 1380-1388 |
| ISSN: | 2159-662X 0161-5505 |
| DOI: | 10.2967/jnumed.113.127381 |
| Popis: | Measurement of arterial input function is a restrictive aspect for quantitative 18F-FDG PET studies in rodents because of their small total blood volume and the related difficulties in withdrawing blood. METHODS: In the present study, we took advantage of the high spatial resolution of a recent dedicated small-animal scanner to extract the input function from the 18F-FDG PET images in Sprague-Dawley rats (n = 4) and C57BL/6 mice (n = 5), using the vena cava. In the rat experiments, the validation of the image-derived input function (IDIF) method was made using an external microvolumetric blood counter as reference for the determination of the arterial input function, the measurement of which was confirmed by additional manually obtained blood samples. Correction for tracer bolus dispersion in blood between the vena cava and the arterial tree was applied. In addition, simulation studies were undertaken to probe the impact of the different IDIF extraction approaches on the determined cerebral metabolic rate of glucose (CMRGlc). In the mice measurements, the IDIF was used to compute the CMRGlc, which was compared with previously reported values, using the Patlak approach. RESULTS: The presented IDIF from the vena cava showed a robust determination of CMRGlc using either the compartmental modeling or the Patlak approach, even without bolus dispersion correction or blood sampling, with an underestimation of CMRGlc of 7% +/- 16% as compared with the reference data. Using this approach in the mice experiments, we measured a cerebral metabolic rate in the cortex of 0.22 +/- 0.10 mumol/g/min (mean +/- SD), in good agreement with previous 18F-FDG studies in the mouse brain. In the rat experiments, dispersion correction of the IDIF and additional scaling of the IDIF using a single manual blood sample enabled an optimized determination of CMRGlc, with an underestimation of 6% +/- 7%. CONCLUSION: The vena cava time-activity curve is therefore a minimally invasive alternative for the measurement of the 18F-FDG input function in rats and mice, without the complications associated with repetitive blood sampling. |
| Databáze: | OpenAIRE |
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