Literature DB >> 10844620

Renal blood flow measurement by positron emission tomography using 15O-labeled water.

L Juillard1, M F Janier, D Fouque, M Lionnet, D Le Bars, L Cinotti, P Barthez, C Gharib, M Laville.   

Abstract

BACKGROUND: Only few noninvasive methods have the potential to quantitate renal blood flow (RBF) in humans. Positron emission tomography (PET) is a clinical imaging method that can be used to measure the tissue blood flow noninvasively. The purpose of this study was to validate PET measurement of RBF using 15O-labeled water (H215O), a tracer that allows repeated measurements at short time intervals.
METHODS: RBF was measured in six pigs by PET and by radioactive microspheres (MS). Three measurements were performed in each pig at baseline (BL), during vascular expansion and dopamine infusion (DA; 20 microg. kg-1. min-1 intravenously), and during angiotensin II (Ang II) infusion (50 ng. kg-1. min-1 intravenously). RBF was estimated from aortic and renal tracer kinetics using a model adapted from the blood flow model described by Kety and Smith.
RESULTS: PET and MS values correlated strongly (y = 0.79x + 42, r = 0.93, P < 0.0001) over the RBF range from 100 to 500 mL. min-1. 100 g-1. Pharmacologically induced changes were significant and were measured equally well by PET and MS: 38 and 39%, respectively, below BL (P < 0.005 and P < 0.05) under Ang II, and 47 and 48%, respectively, above BL (P < 0.005 and P < 0.01) under DA. A Bland and Altman representation showed a low average difference of -17 +/- 45 mL. min-1. 100 g-1 (mean +/- SD).
CONCLUSION: To our knowledge, this study provides the first validation of RBF measurement by PET using H215O over a large range of RBF values (100 to 500 mL. min-1. 100 g-1), which correspond to RBF values in both healthy subjects and in patients suffering from chronic renal failure.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10844620     DOI: 10.1046/j.1523-1755.2000.00110.x

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  9 in total

Review 1.  Renovascular hypertension: screening and modern management.

Authors:  Iris Baumgartner; Lilach O Lerman
Journal:  Eur Heart J       Date:  2011-01-27       Impact factor: 29.983

Review 2.  Targeting Endogenous Repair Pathways after AKI.

Authors:  Benjamin D Humphreys; Vincenzo Cantaluppi; Didier Portilla; Kai Singbartl; Li Yang; Mitchell H Rosner; John A Kellum; Claudio Ronco
Journal:  J Am Soc Nephrol       Date:  2015-11-18       Impact factor: 10.121

3.  Non-invasive estimation of hepatic blood perfusion from H2 15O PET images using tissue-derived arterial and portal input functions.

Authors:  N Kudomi; L Slimani; M J Järvisalo; J Kiss; R Lautamäki; G A Naum; T Savunen; J Knuuti; H Iida; P Nuutila; P Iozzo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-05-06       Impact factor: 9.236

Review 4.  Molecular imaging of the kidneys.

Authors:  Zsolt Szabo; Nada Alachkar; Jinsong Xia; William B Mathews; Hamid Rabb
Journal:  Semin Nucl Med       Date:  2011-01       Impact factor: 4.446

5.  Parametric renal blood flow imaging using [15O]H2O and PET.

Authors:  Nobuyuki Kudomi; Niina Koivuviita; Kaisa E Liukko; Vesa J Oikonen; Tuula Tolvanen; Hidehiro Iida; Risto Tertti; Kaj Metsärinne; Patricia Iozzo; Pirjo Nuutila
Journal:  Eur J Nucl Med Mol Imaging       Date:  2008-12-03       Impact factor: 9.236

6.  A phantom tissue system for the calibration of perfusion measurements.

Authors:  Ashvinikumar V Mudaliar; Brent E Ellis; Patricia L Ricketts; Otto I Lanz; Elaine P Scott; Thomas E Diller
Journal:  J Biomech Eng       Date:  2008-10       Impact factor: 2.097

7.  Physiological biomarkers of acute kidney injury: a conceptual approach to improving outcomes.

Authors:  Mark D Okusa; Bertrand L Jaber; Peter Doran; Jacques Duranteau; Li Yang; Patrick T Murray; Ravindra L Mehta; Can Ince
Journal:  Contrib Nephrol       Date:  2013-05-13       Impact factor: 1.580

Review 8.  Measurement of kidney perfusion in critically ill patients.

Authors:  Antione G Schneider; Mark D Goodwin; Rinaldo Bellomo
Journal:  Crit Care       Date:  2013-03-19       Impact factor: 9.097

9.  Non-invasive estimation of hepatic glucose uptake from [18F]FDG PET images using tissue-derived input functions.

Authors:  N Kudomi; M J Järvisalo; J Kiss; R Borra; A Viljanen; T Viljanen; T Savunen; J Knuuti; H Iida; P Nuutila; P Iozzo
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-12       Impact factor: 9.236

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.