Dataset Information

A Pretreatment CT Model Predicts Survival Following Chemolipiodolization in Patients With Hepatocellular Carcinoma.

ABSTRACT:

Purpose

To establish a computed tomography-based prognostic model for patients with hepatocellular carcinoma treated with transarterial chemoembolization.

Materials and methods

Using prospectively collected data from 195 consecutive patients with hepatocellular carcinoma who underwent chemolipiodolization at the Eastern Hepatobiliary Surgery Hospital between 2013 and 2016, we established a prognostic model based on hepatocellular carcinoma enhancement patterns on computed tomography scans to predict the outcome of transarterial chemoembolization. Furthermore, a histopathology analysis was performed on 108 different patients undergoing resection between 2014 and 2016 to identify whether there was a correlation between enhancement pattern and microvessel density.

Results

The prognostic model classified hepatocellular carcinoma into 3 types: type I, which reached peak enhancement during the arterial phase and had a high mean microvessel density (101.5 vessels/0.74 mm²); type II, which reached peak enhancement during the portal venous or delayed phase and had an intermediate microvessel density (53.6 vessels/0.74 mm²); and type III, in which the tumor was insignificantly enhanced and had a low microvessel density (21.1 vessels/0.74 mm²). For type I, II, and III hepatocellular carcinoma, the post-transarterial chemoembolization 1-year tumor complete necrosis rates were 13.7%, 36.5%, and 0%, respectively (P < .001), and the 3-year overall survival rates were 14.1%, 38.6%, and 0%, respectively (P < .001).

Conclusion

Our results indicate that hepatocellular carcinoma type is an independent predictor of complete necrosis and overall survival.

SUBMITTER: Zhang Y

PROVIDER: S-EPMC6582374 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Publications

A Pretreatment CT Model Predicts Survival Following Chemolipiodolization in Patients With Hepatocellular Carcinoma.

Zhang Yijun Y Qu Shuping S Yi Wanwan W Zhai Jian J Zhang Xiaobing X Wei Lixin L Lau Wan Yee WY Wu Mengchao M Shen Feng F Fan Hengwei H Wu Dong D

Technology in cancer research & treatment 20190101

<h4>Purpose</h4>To establish a computed tomography-based prognostic model for patients with hepatocellular carcinoma treated with transarterial chemoembolization.<h4>Materials and methods</h4>Using prospectively collected data from 195 consecutive patients with hepatocellular carcinoma who underwent chemolipiodolization at the Eastern Hepatobiliary Surgery Hospital between 2013 and 2016, we established a prognostic model based on hepatocellular carcinoma enhancement patterns on computed tomograp ...[more]

PMID: 31204599

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Dataset Information

A Pretreatment CT Model Predicts Survival Following Chemolipiodolization in Patients With Hepatocellular Carcinoma.

Purpose

Materials and methods

Results

Conclusion

Publications

A Pretreatment CT Model Predicts Survival Following Chemolipiodolization in Patients With Hepatocellular Carcinoma.

Similar Datasets

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