Literature DB >> 3484739

Quantitative measurement of regional pulmonary blood flow with positron emission tomography.

M A Mintun, M M Ter-Pogossian, M A Green, L L Lich, D P Schuster.   

Abstract

We have measured regional pulmonary blood flow (PBF) in normal dogs with positron emission tomography (PET) and 15O-labeled water (H2(15)O). The method is nondestructive, quantitative, and repeatable. To measure PBF, PET is used to measure both the initial and equilibrium distribution of lung activity after H2(15)O infusion. The data are then interpreted with a one-compartment mathematical model. Measurements of PBF in dogs with H2(15)O (PBF-water) were compared with PBF measured with 68Ga microspheres (PBF-MS), and a close correlation was observed: PBF-water = 0.82 PBF-MS + 25.4 (R = 0.97, n = 52). In another set of animals an important assumption of the method, namely that the tracer is fully extracted during a single pass through the lung, was demonstrated using a single-probe residue-detection technique. Computer simulations were performed to illustrate the sensitivity of the method to errors in the measured variables of tracer activity or tissue-blood partition coefficient. Results showed only small error magnification for the range of values observed in these studies.

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Year:  1986        PMID: 3484739     DOI: 10.1152/jappl.1986.60.1.317

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  13 in total

1.  Positron emission tomography in the study of acute radiation effects on renal blood flow in dogs.

Authors:  A Kuten; H D Roval; L K Griffeth; M A Mintum; C A Perez; T H Wasserman; M M Ter-Pogossian
Journal:  Int Urol Nephrol       Date:  1992       Impact factor: 2.370

Review 2.  Imaging lung perfusion.

Authors:  Susan R Hopkins; Mark O Wielpütz; Hans-Ulrich Kauczor
Journal:  J Appl Physiol (1985)       Date:  2012-05-17

Review 3.  State of the Art. A structural and functional assessment of the lung via multidetector-row computed tomography: phenotyping chronic obstructive pulmonary disease.

Authors:  Eric A Hoffman; Brett A Simon; Geoffrey McLennan
Journal:  Proc Am Thorac Soc       Date:  2006-08

Review 4.  Functional imaging: CT and MRI.

Authors:  Edwin J R van Beek; Eric A Hoffman
Journal:  Clin Chest Med       Date:  2008-03       Impact factor: 2.878

5.  A convenient route to [68Ga]Ga-MAA for use as a particulate PET perfusion tracer.

Authors:  Carla J Mathias; Mark A Green
Journal:  Appl Radiat Isot       Date:  2008-06-11       Impact factor: 1.513

6.  Spatial-temporal dynamics of pulmonary blood flow in the healthy human lung in response to altered FI(O2).

Authors:  Amran K Asadi; Matthew V Cronin; Rui Carlos Sá; Rebecca J Theilmann; Sebastiaan Holverda; Susan R Hopkins; Richard B Buxton; G Kim Prisk
Journal:  J Appl Physiol (1985)       Date:  2012-10-25

7.  Ventilation/Perfusion Relationships and Gas Exchange: Measurement Approaches.

Authors:  Susan R Hopkins
Journal:  Compr Physiol       Date:  2020-07-08       Impact factor: 9.090

Review 8.  Positron emission tomography imaging of regional pulmonary perfusion and ventilation.

Authors:  Guido Musch; Jose G Venegas
Journal:  Proc Am Thorac Soc       Date:  2005

9.  Quantitative and semiquantitative measures of regional pulmonary microvascular perfusion by magnetic resonance imaging and their relationships to global lung perfusion and lung diffusing capacity: the multiethnic study of atherosclerosis chronic obstructive pulmonary disease study.

Authors:  Katja Hueper; Megha A Parikh; Martin R Prince; Christian Schoenfeld; Chia Liu; David A Bluemke; Stephen M Dashnaw; Thomas A Goldstein; Eric A Hoffman; Joao A Lima; Jan Skrok; Jie Zheng; R Graham Barr; Jens Vogel-Claussen
Journal:  Invest Radiol       Date:  2013-04       Impact factor: 6.016

10.  Quantitative pulmonary blood flow measurement using 15O-H2O PET with and without tissue fraction correction: a comparison study.

Authors:  Keiko Matsunaga; Masahiro Yanagawa; Tomoyuki Otsuka; Haruhiko Hirata; Takashi Kijima; Atsushi Kumanogoh; Noriyuki Tomiyama; Eku Shimosegawa; Jun Hatazawa
Journal:  EJNMMI Res       Date:  2017-12-22       Impact factor: 3.138

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