Hepatic blood flow using [15O]H2O and dynamic PET

[15O]H2O bolus model

The analysis method of hepatic blood flow (actually perfusion) is based on one-tissue compartment model, modified to account for the dual input of the liver, consisting of hepatic artery and portal vein (Taniguchi et al., 1993, 1996a, and 1999; Kudomi et al., 2008; Slimani et al., 2008; Kiss et al., 2009; Rijzewijk et al., 2010). Although appropriate radiowater model for liver requires both inputs, it does not necessarily mean that the portal perfusion (fPV) can be reliably quantified, especially in non-invasive studies where tracer concentration curve of portal vein is not measured but estimated in the model (Ziegler et al., 1996; Becker et al., 2005; Rijzewijk et al., 2010).

Compartmental model for radiowater in the liver
Figure 1. Compartmental model for radiowater in the liver.

Radiowater concentration in the volume of interest, as measured with PET, (CPET(t)), is the volume fraction weighted sum of concentrations in the blood (CB(t)) and liver tissue, (CT(t)):

Blood concentration is a weighted sum of concentrations in the arterial and portal blood (CA and CPV), with the arterial and portal blood flows (fA and fPV) as the weighting factors:

Since radiowater is an inert tracer with reversible kinetics, the concentration curve of the portal vein blood is assumed to be simply the arterial blood delayed and dispersed in the gastrointestinal tract (GI):

Concentration of radiowater in the tissue is described with the one-tissue compartmental model with the two input functions; p is the partition coefficient of water in the tissue:

In tumours of the liver, most of the blood is supplied by the portal artery (Breedis & Young, 1954; Ackerman, 1972). Therefore, perfusion in liver tumours can be analyzed using only the usual arterial input (Taniguchi et al., 1996b; Yamaguchi et al., 2000; Kunishima et al., 2002; Fukuda et al., 2004). Steady-state approach should not be applied, because the partition coefficient of water in tumours is not known (Yamaguchi et al., 2000).

Arterial blood data

Blood data from online sampler

Arterial blood data, collected using on-line sampling system, must be calibrated and corrected for physical decay, dispersion, and time delay. It is recommended that regional tissue TAC from the liver is used in time delay correction.

Extraction of arterial blood data from PET image

Instead of using ABSS, arterial blood TAC can be extracted from the dynamic image. The procedure is very reliable if CT or MR images are available and the point spread function of PET image is known (full width at half maximum, FWHM, in mm). If no CT or MR images are available, then the program eabaort may need to be validated for the specific PET scanner. With modern PET scanners the image resolution is good enough for using the blood TAC from small ROI drawn into abdominal aorta without any correction for partial volume effect.

Delay correction may not be needed for arterial input that is extracted from abdominal aorta, but for the portal vein input estimation the delay is an important parameter.

Analysis method in TPC

Software for analysis of [15O]H2O PET data is currently not available in TPC, but analyses are performed by N Kudomi. The method has also been used by Rijzewijk et al. (2010).

See also:


Becker GA, Müller-Schauenburg W, Spilker ME, Machulla H-J, Piert M. A priori identifiability of a one-compartment model with two input functions for liver blood flow measurements. Phys Med Biol. 2005; 50: 1393-1404. doi: 10.1088/0031-9155/50/7/004.

Fukuda K, Taniguchi H, Koh T, Kunishima S, Yamagishi H. Relationships between oxygen and glucose metabolism in human liver tumours: positron emission tomography using 15O and 18F-deoxyglucose. Nucl Med Commun. 2004; 25: 577-583. doi: 10.1097/01.mnm.0000126627.01919.1d.

Kiss J, Naum A, Kudomi N, Knuuti J, Iozzo P, Savunen T, Nuutila P. Non-invasive diagnosis of acute mesenteric ischaemia using PET. Eur J Nucl Med Mol Imaging 2009; 36: 1338-1345. doi: 10.1007/s00259-009-1094-0.

Kudomi N, Slimani L, Järvisalo MJ, Kiss J, Lautamäki R, Naum GA, Savunen T, Knuuti J, Iida H, Nuutila P, Iozzo P. Non-invasive estimation of hepatic blood perfusion from H215O PET images using tissue-derived arterial and portal input functions. Eur J Nucl Med Mol Imaging 2008; 35: 1899–1911. doi: 10.1007/s00259-008-0796-z.

Miyazaki S, Murase K, Yoshikawa T, Morimoto S, Ohno Y, Sugimura K. A quantitative method for estimating hepatic blood flow using a dual-input single-compartment model. Br J Radiol. 2008; 81(970): 790-800. doi: 10.1259/bjr/52166324.

Shiomi S, Iwata Y, Sasaki N, Morikawa H, Tamori A, Habu D, Takeda T, Nishiguchi S, Kuroki T, Ochi H. Assessment of hepatic blood flow by PET with15O water: correlation between per-rectal portal scintigraphy with99Tcm-pertechnate and scintigraphy with 99Tcm-GSA. Nucl Med Commun. 2000; 21: 533-538. doi: 10.1097/00006231-200006000-00006.

Slimani L, Kudomi N, Oikonen V, Järvisalo M, Kiss J, Naum A, Borra R, Viljanen A, Ferrannini E, Savunen T, Nuutila P, Iozzo P. Quantification of liver perfusion with [15O]H2O-PET and its relationship with glucose metabolism and substrate levels. J Hepatol. 2008; 48: 974-982. doi: 10.1016/j.jhep.2008.01.029.

Taniguchi H, Kunishima S, Koh T. The reproducibility of independently measuring human regional hepatic arterial, portal and total hepatic blood flow using [15]water and positron emission tomography. Nucl Med Commun. 2003; 24: 497-501. doi: 10.1097/00006231-200305000-00003.

Winterdahl M, Keiding S, Sørensen M, Mortensen F, Viborg F, Alstrup AKO, Munk OL. Tracer input for kinetic modelling of liver physiology determined without sampling portal venous blood in pigs. Eur J Nucl Med Mol Imaging 2011; 38(2): 263-270. doi: 10.1007/s00259-010-1620-0.

Ziegler SI, Haberkorn U, Byrne H, Tong C, Schosser R, Krieter H, Kaja S, Richolt JA, Lammertsma AA, Price P. Measurement of liver blood flow using oxygen-15 labelled water and dynamic positron emission tomography: limitations of model description. Eur J Nucl Med. 1996; 23: 169-177. doi: 10.1007/BF01731841.

Tags: , ,

Updated at: 2019-10-10
Created at: 2015-02-04
Written by: Vesa Oikonen