J Cancer 2022; 13(9):2863-2871. doi:10.7150/jca.73678 This issue

Research Paper

A Novel Thoracoabdominal Aorta CTA-based Nomogram Model to Identify Ideal Candidates for Transradial Approach Chemoembolization in Patients with Liver Cancer

Miao Li1,2#, Feng Zhang1,2#, Shen-Xin Lu1,2, Yan Shan3, Peng-Ju Xu3, Ying-Ting Zhou1,2, Ying-E Zhu1,2, Zheng-Gang Ren1,2, Bi-Wei Yang1,2✉, Xin Yin1,2✉

1. Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai 200032, China.
2. National Clinical Research Center for Interventional Medicine, 136 Yi Xue Yuan Road, Shanghai 200032, China.
3. Department of Radiology, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai 200032, China.
# These authors contributed equally to this article.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
Citation:
Li M, Zhang F, Lu SX, Shan Y, Xu PJ, Zhou YT, Zhu YE, Ren ZG, Yang BW, Yin X. A Novel Thoracoabdominal Aorta CTA-based Nomogram Model to Identify Ideal Candidates for Transradial Approach Chemoembolization in Patients with Liver Cancer. J Cancer 2022; 13(9):2863-2871. doi:10.7150/jca.73678. Available from https://www.jcancer.org/v13p2863.htm

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Abstract

Graphic abstract

Background: High technical complexity limits the wide use of transradial approach (TRA) chemoembolization in the management of liver cancer. We sought to construct a thoracoabdominal aorta CTA-based nomogram model to identify ideal candidates for TRA chemoembolization in patients with liver cancer.

Methods: Patients who had received thoracoabdominal aorta CTA before TRA chemoembolization from 2018 to 2020 were retrospectively enrolled and randomly divided into a training set and a validation set. The clinical characteristics and CTA features were collected to build a clinical model. Univariate and multivariate analyses were used to identify significant clinical-radiological variables. A CTA-based nomogram model was constructed by using multivariate logistic regression analysis. The predictive performance, as well as discrimination efficacy of the model, was evaluated by ROC analysis and calibration plot.

Results: Vascular variation (P=0.028), Myla classification (P=0.030), length from left subclavian artery to the left subclavian artery (P=0.017), and angle between common hepatic artery and abdominal aorta (P=0.017) were identified as important factors associated with the technical complexity of TRA chemoembolization, indicated by fluoroscopy time of the total procedure. The CTA-based nomogram model was established by these abovementioned variables, which demonstrated good predictive ability in both the training cohort (AUC=0.929) and validation cohort (AUC= 0.769), with a high C-index of 0.928 and 0.827 respectively. Moreover, satisfactory calibrations were confirmed by the Hosmer-Lemeshow test with P values of 0.618 and 0.299 in the training cohort and validation cohort.

Conclusion: Our study constructs a novel CTA-based nomogram, which can serve as a useful tool to identify ideal candidates for TRA chemoembolization in patients with liver cancer.

Keywords: thoracoabdominal aortic CTA, transradial approach chemoembolization, nomogram, liver cancer