ArticleEuropean journal of nuclear medicine and molecular imaging2010
Image-derived input function in dynamic human PET/CT: methodology and validation with 11C-acetate and 18F-fluorothioheptadecanoic acid in muscle and 18F-fluorodeoxyglucose in brain.
Article in European journal of nuclear medicine and molecular imaging, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.
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Who cites it
52 citing papers in PubMed, 1 synthesis or guideline pooled it, 108 citations in OpenAlex.
- Non-invasive kinetic modelling approaches for quantitative analysis of brain PET studies.European journal of nuclear medicine and molecular imaging · 2023Pooled it
- Trial
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- Free fatty acid flux measured using [1-American journal of physiology. Endocrinology and metabolism · 2018Trial
- Calibrated image-derived input functions for the determination of the metabolic uptake rate of glucose with [18F]-FDG PET.Nuclear medicine communications · 2014Trial
- Increased brown adipose tissue oxidative capacity in cold-acclimated humans.The Journal of clinical endocrinology and metabolism · 2014Trial
- Multi-organ kinetic modeling for Na[Medical physics · 2025Article
- Evaluating image-derived input functions for cerebral [Frontiers in nuclear medicine · 2025Article
- Dual-time-point dynamicAnnals of nuclear medicine · 2024Article
- An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping.Biomedical physics & engineering express · 2024Article
- A Comparison of Arterial Input Function Interpolation Methods for Patlak Plot Analysis ofIEEE transactions on medical imaging · 2024Article
- Optimization-derived blood input function using a kernel method and its evaluation with total-body PET for brain parametric imaging.NeuroImage · 2024Article
- Kinetic Modeling of Brain [Metabolites · 2024Article
- Evaluation of Non-Invasive Methods for (R)-[Journal of imaging · 2024Article
- Simultaneous estimation of a model-derived input function for quantifying cerebral glucose metabolism with [EJNMMI physics · 2024Article
- High Tyrosol and Hydroxytyrosol Intake Reduces Arterial Inflammation and Atherosclerotic Lesion Microcalcification in Healthy Older Populations.Antioxidants (Basel, Switzerland) · 2024Article
- Optimization of Q.Clear reconstruction for dynamicEJNMMI physics · 2023Article
- Non-calcified active atherosclerosis plaque detection with 18F-NaF and 18F-FDG PET/CT dynamic imaging.Physical and engineering sciences in medicine · 2023Article
- Development of a minimally invasive simultaneous estimation method for quantifying translocator protein binding with [EJNMMI research · 2023Article
- Patient-Adaptive Population-Based Modeling of Arterial Input Functions.IEEE transactions on medical imaging · 2023Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
purposeDespite current advances in PET/CT systems, blood sampling still remains the standard method to obtain the radiotracer input function for tracer kinetic modelling. The purpose of this study was to validate the use of image-derived input functions (IDIF) of the carotid and femoral arteries to measure the arterial input function (AIF) in PET imaging. The data were obtained from two different research studies, one using (18)F-FDG for brain imaging and the other using (11)C-acetate and (18)F-fluoro-6-thioheptadecanoic acid ((18)F-FTHA) in femoral muscles.
methodsThe method was validated with two phantom systems. First, a static phantom consisting of syringes of different diameters containing radioactivity was used to determine the recovery coefficient (RC) and spill-in factors. Second, a dynamic phantom built to model bolus injection and clearance of tracers was used to establish the correlation between blood sampling, AIF and IDIF. The RC was then applied to the femoral artery data from PET imaging studies with (11)C-acetate and (18)F-FTHA and to carotid artery data from brain imaging with (18)F-FDG. These IDIF data were then compared to actual AIFs from patients.
resultsWith (11)C-acetate, the perfusion index in the femoral muscle was 0.34+/-0.18 min(-1) when estimated from the actual time-activity blood curve, 0.29+/-0.15 min(-1) when estimated from the corrected IDIF, and 0.66+/-0.41 min(-1) when the IDIF data were not corrected for RC. A one-way repeated measures (ANOVA) and Tukey's test showed a statistically significant difference for the IDIF not corrected for RC (p<0.0001). With (18)F-FTHA there was a strong correlation between Patlak slopes, the plasma to tissue transfer rate calculated using the true plasma radioactivity content and the corrected IDIF for the femoral muscles (vastus lateralis r=0.86, p=0.027; biceps femoris r=0.90, p=0.017). On the other hand, there was no correlation between the values derived using the AIF and those derived using the uncorrected IDIF. Finally, in the brain imaging study with (18)F-FDG, the cerebral metabolic rate of glucose (CMRglc) measured using the uncorrected IDIF was consistently overestimated. The CMRglc obtained using blood sampling was 13.1+/-3.9 mg/100 g per minute and 14.0+/-5.7 mg/100 g per minute using the corrected IDIF (r ( 2 )=0.90).
conclusionCorrectly obtained, carotid and femoral artery IDIFs can be used as a substitute for AIFs to perform tracer kinetic modelling in skeletal femoral muscles and brain analyses.
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