Literature DB >> 18653923

Hepatic perfusion in a tumor model using DCE-CT: an accuracy and precision study.

Errol E Stewart1, Xiaogang Chen, Jennifer Hadway, Ting-Yim Lee.   

Abstract

In the current study we investigate the accuracy and precision of hepatic perfusion measurements based on the Johnson and Wilson model with the adiabatic approximation. VX2 carcinoma cells were implanted into the livers of New Zealand white rabbits. Simultaneous dynamic contrast-enhanced computed tomography (DCE-CT) and radiolabeled microsphere studies were performed under steady-state normo-, hyper- and hypo-capnia. The hepatic arterial blood flows (H(A)BF) obtained using both techniques were compared with ANOVA. The precision was assessed by the coefficient of variation (CV). Under normo-capnia the microsphere H(A)BF were 51.9 +/- 4.2, 40.7 +/- 4.9 and 99.7 +/- 6.0 ml min(-1) (100 g)(-1) while DCE-CT H(A)BF were 50.0 +/- 5.7, 37.1 +/- 4.5 and 99.8 +/- 6.8 ml min(-1) (100 g)(-1) in normal tissue, tumor core and rim, respectively. There were no significant differences between H(A)BF measurements obtained with both techniques (P > 0.05). Furthermore, a strong correlation was observed between H(A)BF values from both techniques: slope of 0.92 +/- 0.05, intercept of 4.62 +/- 2.69 ml min(-1) (100 g)(-1) and R(2) = 0.81 +/- 0.05 (P < 0.05). The Bland-Altman plot comparing DCE-CT and microsphere H(A)BF measurements gives a mean difference of -0.13 ml min(-1) (100 g)(-1), which is not significantly different from zero. DCE-CT H(A)BF is precise, with CV of 5.7, 24.9 and 1.4% in the normal tissue, tumor core and rim, respectively. Non-invasive measurement of H(A)BF with DCE-CT is accurate and precise. DCE-CT can be an important extension of CT to assess hepatic function besides morphology in liver diseases.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18653923     DOI: 10.1088/0031-9155/53/16/003

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  20 in total

1.  Effect of pre-enhancement set point on computed tomographic perfusion values in normal liver and metastases to the liver from neuroendocrine tumors.

Authors:  Chaan S Ng; Adam G Chandler; James C Yao; Delise H Herron; Ella F Anderson; Chusilp Charnsangavej; Brian P Hobbs
Journal:  J Comput Assist Tomogr       Date:  2014 Jul-Aug       Impact factor: 1.826

2.  Early prediction of response of sorafenib on hepatocellular carcinoma by CT perfusion imaging: an animal study.

Authors:  Q Wang; G Shi; L Wang; X Liu; R Wu
Journal:  Br J Radiol       Date:  2014-01-27       Impact factor: 3.039

Review 3.  Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: a primer.

Authors:  Michael Ingrisch; Steven Sourbron
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-04-06       Impact factor: 2.745

4.  Effect of dual vascular input functions on CT perfusion parameter values and reproducibility in liver tumors and normal liver.

Authors:  Chaan S Ng; Adam G Chandler; Wei Wei; Ella F Anderson; Delise H Herron; Razelle Kurzrock; Chusilp Charnsangavej
Journal:  J Comput Assist Tomogr       Date:  2012 Jul-Aug       Impact factor: 1.826

5.  Effect on perfusion values of sampling interval of computed tomographic perfusion acquisitions in neuroendocrine liver metastases and normal liver.

Authors:  Chaan S Ng; Brian P Hobbs; Wei Wei; Ella F Anderson; Delise H Herron; James C Yao; Adam G Chandler
Journal:  J Comput Assist Tomogr       Date:  2015 May-Jun       Impact factor: 1.826

6.  Predictive classification of correlated targets with application to detection of metastatic cancer using functional CT imaging.

Authors:  Yuan Wang; Brian P Hobbs; Jianhua Hu; Chaan S Ng; Kim-Anh Do
Journal:  Biometrics       Date:  2015-04-07       Impact factor: 2.571

7.  The evaluation of haemodynamics in cirrhotic patients with spectral CT.

Authors:  L-Q Zhao; W He; B Yan; H-Y Wang; J Wang
Journal:  Br J Radiol       Date:  2013-08       Impact factor: 3.039

Review 8.  CT perfusion of the liver: principles and applications in oncology.

Authors:  Se Hyung Kim; Aya Kamaya; Jürgen K Willmann
Journal:  Radiology       Date:  2014-08       Impact factor: 11.105

9.  Hepatic blood perfusion estimated by dynamic contrast-enhanced computed tomography in pigs: limitations of the slope method.

Authors:  Michael Winterdahl; Michael Sørensen; Susanne Keiding; Frank V Mortensen; Aage K O Alstrup; Søren B Hansen; Ole L Munk
Journal:  Invest Radiol       Date:  2012-10       Impact factor: 6.016

10.  Dynamic evolutionary changes in blood flow measured by MDCT in a hepatic VX2 tumor implant over an extended 28-day growth period: time-density curve analysis.

Authors:  Hanping Wu; Agata A Exner; Hong Shi; Joshua Bear; John R Haaga
Journal:  Acad Radiol       Date:  2009-12       Impact factor: 3.173

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.