Advanced Hepatocellular Carcinoma. Issue 5 (September 2015)

• Record Type: Journal Article
• Authors: Lee, Sang Ho; Hayano, Koichi; Zhu, Andrew X.; Sahani, Dushyant V.; Yoshida, Hiroyuki
• Is Part Of: Journal of computer assisted tomography. Volume 39:Issue 5(2015)
• Publication Date: 2015-09
• Subjects: Tomography -- Periodicals; Tomography -- Periodicals; Tomography; Periodicals; 616.0757
• DOI: 10.1097/RCT.0000000000000288
• Languages: English
• ISSNs: 0363-8715

Abstract

<abstract> <title> <x xml:space="preserve">Abstract</x> </title> <sec> <title>Objective</title> <p>The aim of this study was to find prognostic biomarkers in perfusion computed tomography (PCT)–based kinetic parameters for advanced hepatocellular carcinoma (HCC) treated with antiangiogenic chemotherapy.</p> </sec> <sec> <title>Methods</title> <p>Twenty-two patients with advanced HCC underwent PCT imaging and subsequently received bevacizumab in combination with gemcitabine and oxaliplatin. Pretreatment PCT data within advanced HCC were analyzed using the Tofts-Kety, 2-compartment exchange, adiabatic approximation to the tissue homogeneity (AATH), and distributed parameter models. Blood flow, blood volume, extraction fraction (<italic>E</italic>), and other 3 parameters were calculated. Kinetic parameters in each model were evaluated with 1-year survival discrimination using Kaplan-Meier analysis and with overall survival using univariate Cox regression analysis.</p> </sec> <sec> <title>Results</title> <p>Only the AATH model–derived <italic>E</italic> was statistically significantly prognostic for 1-year survival. The increased AATH model–derived <italic>E</italic> was significantly associated with longer overall survival (<italic>P</italic> = 0.005).</p> </sec> <sec> <title>Conclusions</title> <p>The AATH model–derived <italic>E</italic> was an effective prognostic biomarker for advanced HCC.</p> </sec> </abstract>