| Literature DB >> 36212108 |
Shouyi Wei1, Nandita Joshi2, Michael Salerno3, David Ouellette4, Lemise Saleh5, Christine DeLorenzo6, Craig Woody7, David Schlyer7, Martin L Purschke7, Jean-Francois Pratte8, Sachin Junnarkar9, Michael Budassi10, Tuoyu Cao11, Jack Fried12, Joel S Karp13, Paul Vaska14.
Abstract
In this study, we used a compact, high-resolution, and MRI-compatible PET camera (VersaPET) to assess the feasibility of measuring the image-derived input function (IDIF) from arteries in the leg with the ultimate goal of enabling fully quantitative PET brain imaging without blood sampling. We used this approach in five 18F-FDG PET/MRI brain studies in which the input function was also acquired using the gold standard of serial arterial blood sampling. After accounting for partial volume, dispersion, and calibration effects, we compared the metabolic rates of glucose (MRglu) quantified from VersaPET IDIFs in 80 brain regions to those using the gold standard and achieved a bias and variability of <5% which is within the range of reported test-retest values for this type of study. We also achieved a strong linear relationship (R2 >0.97) against the gold standard across regions. The results of this preliminary study are promising and support further studies to optimize methods, validate in a larger cohort, and extend to the modeling of other radiotracers.Entities:
Keywords: Positron Emission Tomography (PET); compartmental modeling; functional brain imaging; high-resolution PET; image-derived input function (IDIF); tracer kinetic modeling
Year: 2021 PMID: 36212108 PMCID: PMC9541963 DOI: 10.1109/trpms.2021.3111841
Source DB: PubMed Journal: IEEE Trans Radiat Plasma Med Sci ISSN: 2469-7303