Feasibility study of TSPO quantification with [18F]FEPPA using population-based input function
| Autor: | Dunja Knezevic, Antonio P. Strafella, Yuko Koshimori, Christine Ghadery, Pablo Rusjan, Rostom Mabrouk, Romina Mizrahi, Sylvain Houle, Avideh Gharehgazlou |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Male
Physiology Pyridines lcsh:Medicine Hippocampus 030218 nuclear medicine & medical imaging Diagnostic Radiology 0302 clinical medicine Thalamus Medicine and Health Sciences Anilides lcsh:Science Tomography Mathematics Aged 80 and over Multidisciplinary Movement Disorders Radiochemistry medicine.diagnostic_test Radiology and Imaging Physics Area under the curve Brain Neurodegenerative Diseases Parkinson Disease Arteries Middle Aged Body Fluids Chemistry Blood Radioactivity Neurology Positron emission tomography Physical Sciences Female Anatomy Research Article Genotype Imaging Techniques Neuroimaging Population based Research and Analysis Methods Statistical power Blood Plasma 03 medical and health sciences Receptors GABA Alzheimer Disease Diagnostic Medicine Mental Health and Psychiatry medicine Humans Arterial blood sample Nuclear Physics Aged business.industry lcsh:R Input function Biology and Life Sciences Arterial blood sampling Sample size determination Positron-Emission Tomography Feasibility Studies lcsh:Q Dementia Radiopharmaceuticals Nuclear medicine business 030217 neurology & neurosurgery Positron Emission Tomography Neuroscience |
| Zdroj: | PLoS ONE PLoS ONE, Vol 12, Iss 5, p e0177785 (2017) |
| ISSN: | 1932-6203 |
| Popis: | Purpose The input function (IF) is a core element in the quantification of Translocator protein 18 kDa with positron emission tomography (PET), as no suitable reference region with negligible binding has been identified. Arterial blood sampling is indeed needed to create the IF (ASIF). In the present manuscript we study individualization of a population based input function (PBIF) with a single arterial manual sample to estimate total distribution volume (VT) for [18F]FEPPA and to replicate previously published clinical studies in which the ASIF was used. Methods The data of 3 previous [18F]FEPPA studies (39 of healthy controls (HC), 16 patients with Parkinson’s disease (PD) and 18 with Alzheimer’s disease (AD)) was reanalyzed with the new approach. PBIF was used with the Logan graphical analysis (GA) neglecting the vascular contribution to estimate VT. Time of linearization of the GA was determined with the maximum error criteria. The optimal calibration of the PBIF was determined based on the area under the curve (AUC) of the IF and the agreement range of VT between methods. The shape of the IF between groups was studied while taking into account genotyping of the polymorphism (rs6971). Results PBIF scaled with a single value of activity due to unmetabolized radioligand in arterial plasma, calculated as the average of a sample taken at 60 min and a sample taken at 90 min post-injection, yielded a good interval of agreement between methods and optimized the area under the curve of IF. In HC, gray matter VTs estimated by PBIF highly correlated with those using the standard method (r2 = 0.82, p = 0.0001). Bland-Altman plots revealed PBIF slightly underestimates (~1 mL/cm3) VT calculated by ASIF (including a vascular contribution). It was verified that the AUC of the ASIF were independent of genotype and disease (HC, PD, and AD). Previous clinical results were replicated using PBIF but with lower statistical power. Conclusion A single arterial blood sample taken 75 minute post-injection contains enough information to individualize the IF in the groups of subjects studied; however, the higher variability produced requires an increase in sample size to reach the same effect size. |
| Databáze: | OpenAIRE |
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