Prognostic factors of glottic carcinomas treated with radiation therapy: Value of the adjacent sign on radiological examinations in the sixth edition of the UICC TNM staging system

2004 ◽  
Vol 60 (1) ◽  
pp. S499-S500
Author(s):  
R. Murakami ◽  
R. Nishimura ◽  
Y. Baba ◽  
M. Furusawa ◽  
N. Ogata ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Prognostic Factors ◽  
Staging System ◽  
Tnm Staging ◽  
Sixth Edition ◽  
Tnm Staging System ◽  
Radiological Examinations

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 Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis

2021 ◽  
Author(s):  
Junxian Wu ◽  
Linbin Lu ◽  
Hong Chen ◽  
Yihong Lin ◽  
Huanlin Zhang ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Overall Survival ◽  
Prognostic Factors ◽  
Early Onset ◽  
Clinical Decision Making ◽  
Staging System ◽  
Tnm Staging ◽  
Discriminative Ability ◽  
Tnm Staging System ◽  
Early Onset Colorectal Cancer

Abstract Purpose The present study aimed to identify independent clinicopathological and socio-economic prognostic factors associated with overall survival of early-onset colorectal cancer (EO-CRC) patients and then establish and validate a prognostic nomogram for patients with EO-CRC. Methods Eligible patients with EO-CRC diagnosed from 2010 to 2017 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly divided into a training cohort and a testing cohort. Independent prognostic factors were obtained using univariate and multivariate Cox analyses and were used to establish a nomogram for predicting 3- and 5-year overall survival (OS). The discriminative ability and calibration of the nomogram were assessed using C-index values, AUC values, and calibration plots. Results In total, 5585 patients with EO-CRC were involved in the study. Based on the univariate and multivariate analyses, 15 independent prognostic factors were assembled into the nomogram to predict 3- and 5-year OS. The nomogram showed favorable discriminatory ability as indicated by the C-index (0.840, 95% CI 0.827–0.850), and the 3- and 5-year AUC values (0.868 and 0.84869 respectively). Calibration plots indicated optimal agreement between the nomogram-predicted survival and the actual observed survival. The results remained reproducible in the testing cohort. The C-index of the nomogram was higher than that of the TNM staging system (0.840 vs 0.804, P < 0.001). Conclusion A novel prognostic nomogram for EO-CRC patients based on independent clinicopathological and socio-economic factors was developed, which was superior to the TNM staging system. The nomogram could facilitate postoperative individual prognosis prediction and clinical decision-making.

scholarly journals ENETS TNM Staging Predicts Prognosis in Small Bowel Neuroendocrine Tumours

ISRN Oncology ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Rajaventhan Srirajaskanthan ◽  
A. Ahmed ◽  
A. Prachialias ◽  
P. Srinivasan ◽  
N. Heaton ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Small Bowel ◽  
Neuroendocrine Tumours ◽  
Primary Tumour ◽  
Staging System ◽  
Tnm Staging ◽  
Tumour Resection ◽  
Carcinoid Heart Disease ◽  
Tnm Staging System ◽  
Primary Tumour Resection

Introduction. Small bowel neuroendocrine tumours (NETs) are the most common type of gastrointestinal neuroendocrine tumours. The incidence and prevalence of these tumours are on the rise. The aims of this study were to determine prognostic clinicopathological features and whether the ENETS TNM staging system predicts prognosis and also. Method. Clinical data was collected retrospectively from 138 patients with histologically proven small bowel NETs managed at King’s College Hospital. Histology was reviewed and small bowels tumours, were staged according to the ENETS TNM staging system. Results. Median age was 65 years (range 29–87). The 5-year survival was 79.5% and the 10-year survival was 48.5%. Resection of the primary tumour was associated with improved survival (120 versus 56 months, P<0.05). On multivariate analysis prognostic factors were primary tumour resection and not having a carcinoid heart disease. TNM staging significantly separated survival of stage 2 and stage 3 from stage 4 NETs. Conclusion. Small bowel primary tumour resection and not having carcinoid heart disease are prognostic factors. The ENETS TNM staging and grading system appears to be of prognostic relevance to small bowel NETs.

scholarly journals A Nomogram for Predicting Survival in Patients With Breast Cancer Liver Metastasis: A Population-Based Study

2021 ◽  
Vol 11 ◽  
Author(s):  
Yu Xiong ◽  
Xia Shi ◽  
Qi Hu ◽  
Xingwei Wu ◽  
Enwu Long ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Liver Metastasis ◽  
Risk Stratification ◽  
Staging System ◽  
Tnm Staging ◽  
Tnm Staging System ◽  
Stratification System ◽  
Breast Cancer Liver Metastasis ◽  
Risk Stratification System

ObjectiveThe prognosis of patients with breast cancer liver metastasis (BCLM) was poor. We aimed at constructing a nomogram to predict overall survival (OS) for BCLM patients using the SEER (Surveillance Epidemiology and End Results) database, thus choosing an optimized therapeutic regimen to treat.MethodsWe identified 1173 patients with BCLM from the SEER database and randomly divided them into training (n=824) and testing (n=349) cohorts. The Cox proportional hazards model was applied to identify independent prognostic factors for BCLM, based on which a nomogram was constructed to predict 1-, 2-, and 3-year OS. Its discrimination and calibration were evaluated by the Concordance index (C-index) and calibration plots, while the accuracy and benefits were assessed by comparing it to AJCC-TNM staging system using the decision curve analysis (DCA). Kaplan-Meier survival analyses were applied to test the clinical utility of the risk stratification system.ResultsGrade, marital status, surgery, radiation therapy, chemotherapy, CS tumor size, tumor subtypes, bone metastatic, brain metastatic, and lung metastatic were identified to be independent prognostic factors of OS. In comparison with the AJCC-TNM staging system, an improved C-index was obtained (training group: 0.701 vs. 0.557, validation group: 0.634 vs. 0.557). The calibration curves were consistent between nomogram-predicted survival probability and actual survival probability. Additionally, the DCA curves yielded larger net benefits than the AJCC-TNM staging system. Finally, the risk stratification system can significantly distinguish the ones with different survival risk based on the different molecular subtypes.ConclusionWe have successfully built an effective nomogram and risk stratification system to predict OS in BCLM patients, which can assist clinicians in choosing the appropriate treatment strategies for individual BCLM patients.

Abstract 2682: Integration of multiple prognostic factors into the TNM staging system using a new algorithm that censors patients

2010 ◽  
Author(s):  
Donald Henson ◽  
Dechang Chen ◽  
Arnold Schwartz ◽  
Alexandra Hart ◽  
Ly Pham ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Staging System ◽  
Tnm Staging ◽  
Tnm Staging System
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