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PET Imaging of Leg Arteries for Determining the Input Function in PET/MRI Brain Studies Using a Compact, MRI-compatible PET System.
Wei, Shouyi; Joshi, Nandita; Salerno, Michael; Ouellette, David; Saleh, Lemise; DeLorenzo, Christine; Woody, Craig; Schlyer, David; Purschke, Martin L; Pratte, Jean-Francois; Junnarkar, Sachin; Budassi, Michael; Cao, Tuoyu; Fried, Jack; Karp, Joel S; Vaska, Paul.
Afiliação
  • Wei S; Dept. of Biomedical Engineering of Stony Brook University, NY, 11794 USA, he is now with Dept. Of Medical Physics, New York Proton Center.
  • Joshi N; Dept. of Electrical Engineering, Stony Brook University, NY, 11794 USA.
  • Salerno M; Dept. of Biomedical Engineering, Stony Brook University, NY, 11794 USA. He is now with Department of Radiation Oncology, University of Pennsylvania, Philadelphia, 19104 USA.
  • Ouellette D; Dept. Of Biomedical Engineering, Stony Brook University, NY, 11794 USA. He is now with Department of Radiation Oncology, Weill Cornell Medicine, NY, 10021 USA.
  • Saleh L; Dept. Of Biomedical Engineering, Stony Brook University, NY, 11794 USA.
  • DeLorenzo C; Depts. Of Psychiatry and Biomedical Engineering, Stony Brook University, NY, 11794 USA.
  • Woody C; Dept. of Physics at Brookhaven National Lab, 98 Rochester St, Upton, NY 11973 USA.
  • Schlyer D; Dept. of Physics at Brookhaven National Lab, 98 Rochester St, Upton, NY 11973 USA.
  • Purschke ML; Dept. of Physics at Brookhaven National Lab, 98 Rochester St, Upton, NY 11973 USA.
  • Pratte JF; Interdisciplinary Institute for Technological Innovation of Université de Sherbrooke, Sherbrooke, J1K 2R1 Canada.
  • Junnarkar S; Field Viewers Inc, Wheeling, Illinois, 60090 USA.
  • Budassi M; Dept. Of Biomedical Engineering at Stony Brook University, NY, 11794 USA.
  • Cao T; UIH America, Houston, Texas, 77054 USA.
  • Fried J; Dept. of Physics at Brookhaven National Lab, 98 Rochester St, Upton, NY, 11973 USA.
  • Karp JS; Dept. of Radiology at University of Pennsylvania, Philadelphia, 19104 USA.
  • Vaska P; Depts of Biomedical Engineering and Radiology, Renaissance School of Medicine, Stony Brook University, NY, 11794 USA.
IEEE Trans Radiat Plasma Med Sci ; 6(5): 583-591, 2022 May.
Article em En | MEDLINE | ID: mdl-36212108
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IEEE Trans Radiat Plasma Med Sci Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: IEEE Trans Radiat Plasma Med Sci Ano de publicação: 2022 Tipo de documento: Article