Predictors of Complications in Radiofrequency Ablation for Hepatocellular Carcinoma: A Comprehensive Analysis of 1000 Cases

<i>Background and Objectives</i>: Primary liver cancer is a major cause of mortality, ranking third among the most fatal cancers. In Egypt, liver cancer constitutes 11.75% of gastrointestinal malignancies, with HCC representing 70.5% of cases. The landscape of HCC management was revolutionized by locoregional modalities, which offer a comparable alternative to conventional techniques, with low complications and minimal invasiveness. RFA is a technique that is suitable for early-stage lesions in the liver, with a high overall survival and low complication rates. However, the associated complications cause potential mortality and morbidity. The proper selection of patients may avoid such complications. This study presents a five-year experience of radiofrequency ablation (RFA) for hepatocellular carcinoma (HCC) in Egypt, analyzing the predictors of complications and the computed tomography (CT) features associated with complications post-ablation. <i>Materials and Methods</i>: The study included 1000 cases (84% males with a mean age of 60), with 90% having HCC. Exclusion criteria included prior chemoembolization and non-HCC primary hepatic tumors. Patients underwent RFA at Cairo University Hospital and two private centers from January 2014 to January 2019. The workup involved clinical assessments, lab tests, and CT scans. Complications were classified as major or minor. Statistical analysis was conducted via SPSS software Version 22.0, with associations evaluated using a chi-square test. A decision tree was employed to determine the predictive values for different variables associated with the complications. <i>Results</i>: Overall, the rate of complications was 4%, and mortality stood low at 0.1%. Subcapsular lesions were associated with complications, as well as the lesion size, site, Child-Pugh classification, and the number of RFA sessions. Decision tree analysis determined the size of a lesion to be the most predictive factor of major complications, whereas the site of the lesion predicted the occurrence of minor complications. <i>Conclusions</i>: RFA offers low complication rates; however, precise patient selection is critical. The approach and imaging modality choice influence the outcomes. Clinician experience enhances early complication detection, thereby allowing for effective treatments.

Authors

Institutions

Publication Details

Journal
Medicina
Published
2025-03-06
DOI
https://doi.org/10.3390/medicina61030458
Citations
2
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
Field-Weighted Citation Impact
2.64
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictors of Complications in Radiofrequency Ablation for Hepatocellular Carcinoma: A Comprehensive Analysis of 1000 Cases

Hussein Okasha, Hamdy Abdelkader, Sara O. Elgendy, Mohamed Farag et al.
2 citations
Medicina
Hepatocellular Carcinoma Treatment and Prognosis
2.64
article

Predictors of Complications in Radiofrequency Ablation for Hepatocellular Carcinoma: A Comprehensive Analysis of 1000 Cases

Hussein Okasha, Hamdy Abdelkader, Sara O. Elgendy, Mohamed Farag, Adel Al Fatease, Mohamed H. Shaaban
article en
2 citations

Abstract

<i>Background and Objectives</i>: Primary liver cancer is a major cause of mortality, ranking third among the most fatal cancers. In Egypt, liver cancer constitutes 11.75% of gastrointestinal malignancies, with HCC representing 70.5% of cases. The landscape of HCC management was revolutionized by locoregional modalities, which offer a comparable alternative to conventional techniques, with low complications and minimal invasiveness. RFA is a technique that is suitable for early-stage lesions in the liver, with a high overall survival and low complication rates. However, the associated complications cause potential mortality and morbidity. The proper selection of patients may avoid such complications. This study presents a five-year experience of radiofrequency ablation (RFA) for hepatocellular carcinoma (HCC) in Egypt, analyzing the predictors of complications and the computed tomography (CT) features associated with complications post-ablation. <i>Materials and Methods</i>: The study included 1000 cases (84% males with a mean age of 60), with 90% having HCC. Exclusion criteria included prior chemoembolization and non-HCC primary hepatic tumors. Patients underwent RFA at Cairo University Hospital and two private centers from January 2014 to January 2019. The workup involved clinical assessments, lab tests, and CT scans. Complications were classified as major or minor. Statistical analysis was conducted via SPSS software Version 22.0, with associations evaluated using a chi-square test. A decision tree was employed to determine the predictive values for different variables associated with the complications. <i>Results</i>: Overall, the rate of complications was 4%, and mortality stood low at 0.1%. Subcapsular lesions were associated with complications, as well as the lesion size, site, Child-Pugh classification, and the number of RFA sessions. Decision tree analysis determined the size of a lesion to be the most predictive factor of major complications, whereas the site of the lesion predicted the occurrence of minor complications. <i>Conclusions</i>: RFA offers low complication rates; however, precise patient selection is critical. The approach and imaging modality choice influence the outcomes. Clinician experience enhances early complication detection, thereby allowing for effective treatments.

MedicinaVol. 61(3)
Beni-Suef University (EG), Cairo University (EG), Ministry of Health and Population (EG), King Khalid University (SA)
Good health and well-being
Openalex Percentile: Top 12%
Hepatocellular Carcinoma Treatment and Prognosis
2.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.