Abstract

This study was designed to assess 3D vs. 1D and 2D quantitative tumor analysis for prediction of overall survival (OS) in patients with Intrahepatic Cholangiocarcinoma (ICC) who underwent conventional transarterial chemoembolization (cTACE). 73 ICC patients who underwent cTACE were included in this retrospective analysis between Oct 2001 and Feb 2015. The overall and enhancing tumor diameters and the maximum cross-sectional and enhancing tumor areas were measured on baseline images. 3D quantitative tumor analysis was used to assess total tumor volume (TTV), enhancing tumor volume (ETV), and enhancing tumor burden (ETB) (ratio between ETV and liver volume). Patients were divided into low (LTB) and high tumor burden (HTB) groups. There was a significant separation between survival curves of the LTB and HTB groups using enhancing tumor diameter (p = 0.003), enhancing tumor area (p = 0.03), TTV (p = 0.03), and ETV (p = 0.01). Multivariate analysis showed a hazard ratio of 0.46 (95%CI: 0.27–0.78, p = 0.004) for enhancing tumor diameter, 0.56 (95% CI 0.33–0.96, p = 0.04) for enhancing tumor area, 0.58 (95%CI: 0.34–0.98, p = 0.04) for TTV, and 0.52 (95%CI: 0.30–0.91, p = 0.02) for ETV. TTV and ETV, as well as the largest enhancing tumor diameter and maximum enhancing tumor area, reliably predict the OS of patients with ICC after cTACE and could identify ICC patients who are most likely to benefit from cTACE.

Details

Title
Role of 3D quantitative tumor analysis for predicting overall survival after conventional chemoembolization of intrahepatic cholangiocarcinoma
Author
Rexha Irvin 1 ; Laage-Gaupp Fabian 2 ; Chapiro Julius 2 ; Miszczuk, Milena Anna 1 ; van Breugel Johanna Maria Mijntje 2 ; Lin MingDe 2 ; Konstantinidis Menelaos 3 ; Duran, Rafael 4 ; Gebauer Bernhard 5 ; Georgiades Christos 4 ; Hong, Kelvin 4 ; Nezami Nariman 6 

 Yale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, USA (GRID:grid.47100.32) (ISNI:0000000419368710); Charité Universitätsmedizin, Department of Diagnostic and Interventional Radiology, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662) 
 Yale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, USA (GRID:grid.47100.32) (ISNI:0000000419368710) 
 University of Toronto, Division of Biostatistics, Dalla Lana School of Public Health, Toronto, Canada (GRID:grid.17063.33) (ISNI:0000 0001 2157 2938) 
 Johns Hopkins University School of Medicine, Division of Vascular and Interventional Radiology, Russel H. Morgan Department of Radiology and Radiological Sciences, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311) 
 Charité Universitätsmedizin, Department of Diagnostic and Interventional Radiology, Berlin, Germany (GRID:grid.6363.0) (ISNI:0000 0001 2218 4662) 
 Yale University School of Medicine, Department of Radiology and Biomedical Imaging, New Haven, USA (GRID:grid.47100.32) (ISNI:0000000419368710); Johns Hopkins University School of Medicine, Division of Vascular and Interventional Radiology, Russel H. Morgan Department of Radiology and Radiological Sciences, Baltimore, USA (GRID:grid.21107.35) (ISNI:0000 0001 2171 9311); Emory University School of Medicine, Division of Interventional Radiology and Image-Guided Medicine, Department of Radiology and Imaging Sciences, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0001 0941 6502) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2519561776
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.