Literature DB >> 36212108

PET Imaging of Leg Arteries for Determining the Input Function in PET/MRI Brain Studies Using a Compact, MRI-compatible PET System.

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


  28 in total

1.  GATE: a simulation toolkit for PET and SPECT.

Authors:  S Jan; G Santin; D Strul; S Staelens; K Assié; D Autret; S Avner; R Barbier; M Bardiès; P M Bloomfield; D Brasse; V Breton; P Bruyndonckx; I Buvat; A F Chatziioannou; Y Choi; Y H Chung; C Comtat; D Donnarieix; L Ferrer; S J Glick; C J Groiselle; D Guez; P F Honore; S Kerhoas-Cavata; A S Kirov; V Kohli; M Koole; M Krieguer; D J van der Laan; F Lamare; G Largeron; C Lartizien; D Lazaro; M C Maas; L Maigne; F Mayet; F Melot; C Merheb; E Pennacchio; J Perez; U Pietrzyk; F R Rannou; M Rey; D R Schaart; C R Schmidtlein; L Simon; T Y Song; J M Vieira; D Visvikis; R Van de Walle; E Wieërs; C Morel
Journal:  Phys Med Biol       Date:  2004-10-07       Impact factor: 3.609

2.  Comparison of image-derived and arterial input functions for estimating the rate of glucose metabolism in therapy-monitoring 18F-FDG PET studies.

Authors:  Lioe-Fee de Geus-Oei; Eric P Visser; Paul F M Krabbe; Bas A van Hoorn; Emile B Koenders; Antoon T Willemsen; Jan Pruim; Frans H M Corstens; Wim J G Oyen
Journal:  J Nucl Med       Date:  2006-06       Impact factor: 10.057

3.  Image-derived input function for [11C]flumazenil kinetic analysis in human brain.

Authors:  Sandra M Sanabria-Bohórquez; Alex Maes; Patrick Dupont; Guy Bormans; Tjibbe de Groot; Alexandre Coimbra; WaiSi Eng; Tine Laethem; Inge De Lepeleire; Jay Gambale; Jose M Vega; H Donald Burns
Journal:  Mol Imaging Biol       Date:  2003 Mar-Apr       Impact factor: 3.488

Review 4.  Image-derived input function for brain PET studies: many challenges and few opportunities.

Authors:  Paolo Zanotti-Fregonara; Kewei Chen; Jeih-San Liow; Masahiro Fujita; Robert B Innis
Journal:  J Cereb Blood Flow Metab       Date:  2011-08-03       Impact factor: 6.200

5.  In vivo variation in metabotropic glutamate receptor subtype 5 binding using positron emission tomography and [11C]ABP688.

Authors:  Christine DeLorenzo; J S Dileep Kumar; J John Mann; Ramin V Parsey
Journal:  J Cereb Blood Flow Metab       Date:  2011-07-27       Impact factor: 6.200

6.  Estimation of arterial input by a noninvasive image derived method in brain H215O PET study: confirmation of arterial location using MR angiography.

Authors:  Muhammad Muinul Islam; Tetsuya Tsujikawa; Tetsuya Mori; Yasushi Kiyono; Hidehiko Okazawa
Journal:  Phys Med Biol       Date:  2017-05-08       Impact factor: 3.609

7.  Evaluation of quantitative, efficient image reconstruction for VersaPET, a compact PET system.

Authors:  Shouyi Wei; Paul Vaska
Journal:  Med Phys       Date:  2020-04-18       Impact factor: 4.071

8.  Cerebral glucose metabolism during pharmacologic studies: test-retest under placebo conditions.

Authors:  M E Schmidt; M Ernst; J A Matochik; J M Maisog; B S Pan; A J Zametkin; W Z Potter
Journal:  J Nucl Med       Date:  1996-07       Impact factor: 10.057

9.  Error analysis of a quantitative cerebral blood flow measurement using H2(15)O autoradiography and positron emission tomography, with respect to the dispersion of the input function.

Authors:  H Iida; I Kanno; S Miura; M Murakami; K Takahashi; K Uemura
Journal:  J Cereb Blood Flow Metab       Date:  1986-10       Impact factor: 6.200

10.  Reference values of vessel diameters, stenosis prevalence, and arterial variations of the lower limb arteries in a male population sample using contrast-enhanced MR angiography.

Authors:  Roberto Lorbeer; Andreas Grotz; Marcus Dörr; Henry Völzke; Wolfgang Lieb; Jens-Peter Kühn; Birger Mensel
Journal:  PLoS One       Date:  2018-06-20       Impact factor: 3.240

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