Literature DB >> 17869095

Risk factors of survival after percutaneous radiofrequency ablation of hepatocellular carcinoma.

Zhen-Wei Peng1, Yao-Jun Zhang, Min-Shan Chen, Hui-Hong Liang, Jin-Qing Li, Ya-Qi Zhang, Wan Y Lau.   

Abstract

AIMS: This study aimed to determine the risk factors of survival in patients with hepatocellular carcinoma (HCC) undergoing percutaneous radiofrequency ablation (PRFA). PATIENTS AND METHODS: Between August 1999 and May 2005, 281 patients (250 males and 31 females) who were 33-80 years old (mean 65.3 years) received PRFA only or PRFA in combination with percutaneous ethanol injection (PEI) in our center. Patients were treated with PRFA or PEI by a percutaneous approach with ultrasound (US) guidance and were evaluated at regular intervals to determine disease recurrence and survival. The survival curves were constructed by the Kaplan-Meier method and compared by the log-rank test. The relative significance of the variables in the risk factors of overall survival was assessed by multivariate Cox proportional hazards regression analysis.
RESULTS: At the end of the study, 189 patients were alive, and 92 were dead. Median survival was 48.7 months. The overall 1-, 3-, and 5-year survival rates were 89%, 54%, and 43%, respectively. The overall 1-, 3-, and 5-year survival rates for small tumor (size < or = 3cm) were 97.8%, 65.7%, 58.6%, respectively, for medium tumor (size 3.1-5cm) 94.1%, 57.1%, 37.1%, respectively, and for large tumor (size >5cm) 62.8%, 40.3%, 0%, respectively. Survival of patients treated with PRFA was dependent on tumor size (p<0.001; risk ratio [RR] 9.6, 95% CI 5.2-17.8), number of tumors (p=0.003; RR 1.6, 95% CI 1.2-2.0), combination with PEI (p=0.01; RR 0.6, 95% CI 0.4-0.9), Child-Pugh class (p=0.002; RR 2.0, 95% CI 1.3-3.0) and safety margin (p=0.0026; RR 0.6, 95% CI 0.4-0.9).
CONCLUSIONS: PRFA is an effective treatment for HCC. This study showed after PRFA, tumor size, number of tumors, combination with PEI, safety margin, and Child-Pugh class were independent risk factors of survival.

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Year:  2007        PMID: 17869095     DOI: 10.1016/j.suronc.2007.08.002

Source DB:  PubMed          Journal:  Surg Oncol        ISSN: 0960-7404            Impact factor:   3.279


  14 in total

1.  A measure to assess the ablative margin using 3D-CT image fusion after radiofrequency ablation of hepatocellular carcinoma.

Authors:  Hui Tang; Yunqiang Tang; Jian Hong; Tiejun Chen; Cong Mai; Peng Jiang
Journal:  HPB (Oxford)       Date:  2014-10-24       Impact factor: 3.647

2.  Visualizing ex vivo radiofrequency and microwave ablation zones using electrode vibration elastography.

Authors:  Ryan J Dewall; Tomy Varghese; Chris L Brace
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

Review 3.  Laser ablation for small hepatocellular carcinoma: State of the art and future perspectives.

Authors:  Giovan Giuseppe Di Costanzo; Giampiero Francica; Claudio Maurizio Pacella
Journal:  World J Hepatol       Date:  2014-10-27

4.  The Effectiveness of Multiple Electrode Radiofrequency Ablation in Patients with Hepatocellular Carcinoma with Lesions More than 3 cm in Size and Barcelona Clinic Liver Cancer Stage A to B2.

Authors:  Chen-Chun Lin; Ya-Ting Cheng; Wei-Ting Chen M; Shi-Ming Lin
Journal:  Liver Cancer       Date:  2015-12-15       Impact factor: 11.740

5.  Role of radiofrequency ablation in the treatment of small hepatocellular carcinoma.

Authors:  Yao-Jun Zhang; Min-Shan Chen
Journal:  World J Hepatol       Date:  2010-04-27

6.  Assessment of ablative margin by MRI with ferucarbotran in radiofrequency ablation for liver cancer: comparison with enhanced CT.

Authors:  S Tokunaga; M Koda; T Matono; T Sugihara; T Nagahara; M Ueki; Y Murawaki; S Kakite; E Yamashita
Journal:  Br J Radiol       Date:  2011-03-08       Impact factor: 3.039

7.  Ablation zone visualization enhancement by periodic contrast-enhancement computed tomography during microwave ablation.

Authors:  Po-Hung Wu; Zachary Borden; Christopher L Brace
Journal:  Med Phys       Date:  2017-05-18       Impact factor: 4.071

8.  Radiofrequency ablation for hepatocellular carcinoma: the relationship between a new grading system for the ablative margin and clinical outcomes.

Authors:  Hiroki Nishikawa; Yukio Osaki; Eriko Iguchi; Haruhiko Takeda; Fumihiro Matsuda; Jun Nakajima; Azusa Sakamoto; Keiichi Hatamaru; Sumio Saito; Akihiro Nasu; Ryuichi Kita; Toru Kimura
Journal:  J Gastroenterol       Date:  2012-10-12       Impact factor: 7.527

9.  Ablative margin states by magnetic resonance imaging with ferucarbotran in radiofrequency ablation for hepatocellular carcinoma can predict local tumor progression.

Authors:  Masahiko Koda; Shiho Tokunaga; Kennichi Miyoshi; Manabu Kishina; Yuki Fujise; Jun Kato; Tomomitsu Matono; Yoshikazu Murawaki; Suguru Kakite; Eijiro Yamashita
Journal:  J Gastroenterol       Date:  2013-01-22       Impact factor: 7.527

10.  Feature-based automated segmentation of ablation zones by fuzzy c-mean clustering during low-dose computed tomography.

Authors:  Po-Hung Wu; Mariajose Bedoya; Jim White; Christopher L Brace
Journal:  Med Phys       Date:  2020-12-18       Impact factor: 4.071

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