Construction of the Chinese University Prognostic Index for hepatocellular carcinoma and comparison with the TNM staging system, the Okuda staging system, and the Cancer of the Liver Italian Program staging system

Cancer ◽  
2002 ◽  
Vol 94 (6) ◽  
pp. 1760-1769 ◽  
Author(s):  
Thomas W. T. Leung ◽  
Amanda M. Y. Tang ◽  
Benny Zee ◽  
W. Y. Lau ◽  
Paul B. S. Lai ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Prognostic Index ◽  
Staging System ◽  
Tnm Staging ◽  
Chinese University ◽  
Tnm Staging System

scholarly journals Validation of clinical AJCC/UICC TNM staging system for hepatocellular carcinoma: Analysis of 5,613 cases from a medical center in southern Taiwan

2007 ◽  
Vol 120 (12) ◽  
pp. 2650-2655 ◽  
Author(s):  
Kwong-Ming Kee ◽  
Jing-Houng Wang ◽  
Chuan-Mo Lee ◽  
Chao-Long Chen ◽  
Chi-Sin Changchien ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Medical Center ◽  
Staging System ◽  
Tnm Staging ◽  
Tnm Staging System ◽  
Southern Taiwan

Validation of the 7th Edition TNM Staging System for Hepatocellular Carcinoma: An Analysis of 8,828 Patients in a Single Medical Center

2013 ◽  
Vol 58 (9) ◽  
pp. 2721-2728 ◽  
Author(s):  
Kwong-Ming Kee ◽  
Jing-Houng Wang ◽  
Chih-Yun Lin ◽  
Chih-Chi Wang ◽  
Yu-Fan Cheng ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Medical Center ◽  
Staging System ◽  
Tnm Staging ◽  
7Th Edition ◽  
Tnm Staging System

Prognostic nomogram to predict overall survival for patients with perihilar cholangiocarcinoma: A population-based study of SEER database (Preprint)

2020 ◽  
Author(s):  
Chendong Wang
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Staging System ◽  
Tnm Staging ◽  
Survival Outcome ◽  
Perihilar Cholangiocarcinoma ◽  
Cox Regression Analysis ◽  
Calibration Curves ◽  
Tnm Staging System ◽  
Net Benefits

BACKGROUND Perihilar cholangiocarcinoma (pCCA) is a highly aggressive malignancy with poor prognosis. Accurate prediction is of great significance for patients’ survival outcome. OBJECTIVE The present study aimed to propose a prognostic nomogram for predicting the overall survival (OS) for patients with pCCA. METHODS We conducted a retrospective analysis in a total of 940 patients enrolled from the Surveillance, Epidemiology, and End Results (SEER) program and developed a nomogram based on the prognostic factors identified from the cox regression analysis. Concordance index (C-index), risk group stratification and calibration curves were adopted to test the discrimination and calibration ability of the nomogram with bootstrap method. Decision curves were also plotted to evaluate net benefits in clinical use against TNM staging system. RESULTS On the basis of multivariate analysis, five independent prognostic factors including age, summary stage, surgery, chemotherapy, together with radiation were selected and entered into the nomogram model. The C-index of the model was significantly higher than TNM system in the training set (0.703 vs 0.572, P<0.001), which was also proved in the validation set (0.718 vs 0.588, P<0.001). The calibration curves for 1-, 2-, and 3-year OS probabilities exhibited good agreements between the nomogram-predicted and the actual observation. Decision curves displayed that the nomogram obtained more net benefits than TNM staging system in clinical context. The OS curves of two distinct risk groups stratified by nomogram-predicted survival outcome illustrated statistical difference. CONCLUSIONS We established and validated an easy-to-use prognostic nomogram, which can provide more accurate individualized prediction and assistance in decision making for pCCA patients.

scholarly journals Evaluation of the new TNM-staging system for thymic malignancies: impact on indication and survival

2017 ◽  
Vol 15 (1) ◽  
Author(s):  
Michael Ried ◽  
Maria-Magdalena Eicher ◽  
Reiner Neu ◽  
Zsolt Sziklavari ◽  
Hans-Stefan Hofmann
Keyword(s):  
Staging System ◽  
Tnm Staging ◽  
Tnm Staging System

Does the TNM Staging System for Esophageal Cancer Need Revision?

2006 ◽  
Vol 202 (5) ◽  
pp. 855-856 ◽  
Author(s):  
C.S. Pramesh ◽  
Rajesh C. Mistry ◽  
Nirmala A. Jambhekar ◽  
Sarbani G. Laskar
Keyword(s):  
Esophageal Cancer ◽  
Staging System ◽  
Tnm Staging ◽  
Tnm Staging System
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