Literature DB >> 26135698

Nomograms for Pre- and Postoperative Prediction of Long-term Survival for Patients Who Underwent Hepatectomy for Multiple Hepatocellular Carcinomas.

Pinghua Yang1, Jiliang Qiu, Jun Li, Dong Wu, Xuying Wan, Wan Yee Lau, Yunfei Yuan, Feng Shen.   

Abstract

OBJECTIVES: To develop prognostic nomograms for patients undergoing hepatectomy for multiple hepatocellular carcinomas (mHCCs).
BACKGROUND: The prognostic prediction after hepatectomy for mHCCs has not been well established.
METHODS: A training cohort (n = 540) was analyzed to construct 2 nomograms based separately on data obtained before and after hepatectomy for mHCCs at the Eastern Hepatobiliary Surgery Hospital between 2000 and 2006. The internal and external validations were performed in 2 independent cohorts (n = 180 each) collected from the Eastern Hepatobiliary Surgery Hospital between 2007 and 2010 and the Sun Yat-Sen University between 2000 and 2007. The predictive accuracy was measured by concordance index (C-index) and calibration curve.
RESULTS: Serum α-fetoprotein level, hepatitis B virus deoxyribonucleic acid load, end-stage liver disease score, tumor number, total tumor diameter, and the ratio of largest to smallest tumor diameter were incorporated into the preoperative nomogram for overall survival (OS) prediction. In addition to these variables, microvascular invasion, tumor capsule, type of hepatectomy, and local invasion/metastasis were incorporated into the postoperative nomogram. All calibration curves for probability of OS fitted well. In the training cohort, the preoperative nomogram achieved a C-index of 0.75 (95% confidence interval, 0.72-0.78) in predicting OS and accurately stratified patients into 4 prognostic subgroups (5-year OS rates: 65.9%, 46.3%, 29.6%, and 4.1%, P < 0.001). The postoperative nomogram had a C-index of 0.80, which was higher than those of the 4 conventional staging systems (0.53-0.62). These results were supported by the internal and external validations.
CONCLUSIONS: The 2 nomograms showed accurate pre- and postoperative prediction of posthepatectomy prognosis in patients with mHCCs.

Entities:  

Mesh:

Year:  2016        PMID: 26135698     DOI: 10.1097/SLA.0000000000001339

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  26 in total

1.  The Impact of Tumor Differentiation on the Prognosis of HBV-Associated Solitary Hepatocellular Carcinoma Following Hepatectomy: A Propensity Score Matching Analysis.

Authors:  Junyi Shen; Jiaye Liu; Chuan Li; Tianfu Wen; Lvnan Yan; Jiayin Yang
Journal:  Dig Dis Sci       Date:  2018-05-07       Impact factor: 3.199

2.  Actual 10-Year Survivors After Resection of Hepatocellular Carcinoma.

Authors:  Jian Zheng; Deborah Kuk; Mithat Gönen; Vinod P Balachandran; T Peter Kingham; Peter J Allen; Michael I D'Angelica; William R Jarnagin; Ronald P DeMatteo
Journal:  Ann Surg Oncol       Date:  2016-12-05       Impact factor: 5.344

3.  Nomograms in Hepatectomy Patients with Hepatitis B Virus-Related Hepatocellular Carcinoma.

Authors:  Jong Man Kim; Choon Hyuck David Kwon; Jae-Won Joh; Heejin Yoo; Kyunga Kim; Dong Hyun Sinn; Gyu-Seong Choi; Joon Hyeok Lee
Journal:  J Gastrointest Surg       Date:  2019-01-22       Impact factor: 3.452

4.  Novel microvascular invasion-based prognostic nomograms to predict survival outcomes in patients after R0 resection for hepatocellular carcinoma.

Authors:  Long-Hai Feng; Hui Dong; Wan-Yee Lau; Hua Yu; Yu-Yao Zhu; Yun Zhao; Yu-Xi Lin; Jia Chen; Meng-Chao Wu; Wen-Ming Cong
Journal:  J Cancer Res Clin Oncol       Date:  2016-10-14       Impact factor: 4.553

5.  Long-Term Survival Outcomes After Liver Resection for Binodular Hepatocellular Carcinoma: A Multicenter Cohort Study.

Authors:  Ming-Da Wang; Chao Li; Jun Li; Wan-Guang Zhang; Wei-Qin Jiang; Jiong-Jie Yu; Hao Xing; Han Wu; Jun Han; Zhen-Li Li; Xin-Fei Xu; Ting-Hao Chen; Ya-Hao Zhou; Wei-Min Gu; Hong Wang; Yong-Yi Zeng; Yao-Ming Zhang; Timothy M Pawlik; Wan Yee Lau; Meng-Chao Wu; Jia-Mei Yang; Feng Shen; Tian Yang
Journal:  Oncologist       Date:  2019-05-24

6.  Prediction of long-term survival rates in patients undergoing curative resection for solitary hepatocellular carcinoma.

Authors:  Yi Cao; Zhelong Jiang; Shaohu Wang; Haoyang Zhang; Yi Jiang; Lizhi Lv
Journal:  Oncol Lett       Date:  2017-12-13       Impact factor: 2.967

7.  The inflammation-nutrition score supports the prognostic prediction of the TNM stage for colorectal cancer patients after curative resection.

Authors:  Shiki Fujino; Norikatsu Myoshi; Kazuhiro Saso; Msaru Sasaki; Satoshi Ishikawa; Yusuke Takahashi; Masayoshi Yasui; Masayuki Ohue; Taishi Hata; Chu Matsuda; Tsunekazu Mizushima; Masaki Mori; Yuichiro Doki
Journal:  Surg Today       Date:  2019-08-14       Impact factor: 2.549

8.  Development and validation of an individualized prediction calculator of postoperative mortality within 6 months after surgical resection for hepatocellular carcinoma: an international multicenter study.

Authors:  Lei Liang; Bing Quan; Han Wu; Yong-Kang Diao; Jie Li; Ting-Hao Chen; Yao-Ming Zhang; Ya-Hao Zhou; Wan-Guang Zhang; Hong Wang; Matteo Serenari; Matteo Cescon; Myron Schwartz; Yong-Yi Zeng; Ying-Jian Liang; Hang-Dong Jia; Hao Xing; Chao Li; Ming-Da Wang; Wen-Tao Yan; Wan-Yuan Chen; Wan Yee Lau; Cheng-Wu Zhang; Timothy M Pawlik; Dong-Sheng Huang; Feng Shen; Tian Yang
Journal:  Hepatol Int       Date:  2021-02-03       Impact factor: 6.047

9.  Prognostic Nomograms for Patients with Hepatocellular Carcinoma After Curative Hepatectomy, with a Focus on Recurrence Timing and Post-Recurrence Management.

Authors:  Wei Xu; Fei Liu; Xianbo Shen; Ruineng Li
Journal:  J Hepatocell Carcinoma       Date:  2020-10-27

10.  Development and Validation of a Nomogram for Patients with Nonmetastatic BCLC Stage C Hepatocellular Carcinoma after Stereotactic Body Radiotherapy.

Authors:  Wen-Yen Huang; Chiao-Ling Tsai; Jenny Y Que; Cheng-Hsiang Lo; Yu-Ju Lin; Yang-Hong Dai; Jen-Fu Yang; Po-Chien Shen; Mei-Hsuan Lee; Jason Chia-Hsien Cheng
Journal:  Liver Cancer       Date:  2020-03-10       Impact factor: 11.740

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.