Related Experiment Video
Updated: Mar 16, 2026

05:31
Transradial Access Chemoembolization for Hepatocellular Carcinoma Patients
Published on: September 20, 2020
6.3K
Risks factors for severe pain after selective liver transarterial chemoembolization
Joseph Benzakoun1, Maxime Ronot1,2, Matthieu Lagadec1,2
1Radiology, Beaujon Hospital, Clichy, France.
Summary
Severe pain after transarterial chemoembolization (TACE) for hepatocellular carcinoma (HCC) is common. Young patients without chronic liver disease are more susceptible to severe pain following TACE.
Area of Science:
- Hepatobiliary Surgery
- Interventional Radiology
- Oncology
Background:
- Post-procedural pain is a frequent complication of transarterial chemoembolization (TACE) for hepatocellular carcinoma (HCC).
- Treatment selectivity offers only partial prevention of pain.
- Identifying risk factors for severe pain is crucial for patient management.
Purpose of the Study:
- To determine the risk factors associated with severe post-procedural pain after selective TACE for HCC.
- To identify patient characteristics that predict the need for opioid analgesics.
Main Methods:
- Analysis of data from treatment-naïve patients undergoing their first selective TACE between January 2012 and June 2014.
- Uni- and multivariate logistic regression analysis to identify risk factors for severe pain (opioid requirement).
- Internal validation of a predictive model for opioid intake using bootstrapping.
Main Results:
- Opioid intake was required by 17% of patients.
- Univariate analysis showed associations with young age, doxorubicin dose, large HCC, absence of chronic liver disease, and alpha-fetoprotein levels.
- Multivariate analysis identified young age, absence of chronic liver disease, and higher doxorubicin dose fraction as significant predictors of opioid intake.
Conclusions:
- Selective TACE for HCC does not consistently prevent severe post-procedural pain.
- Young patients without chronic liver disease appear more susceptible to severe pain after TACE.
- A predictive model incorporating age, chronic liver disease status, and doxorubicin dose fraction demonstrated good predictive performance (AUC=0.751).

