TNM staging system of colorectal carcinoma: surgical pathology of the seventh edition

2011 ◽  
Vol 17 (6) ◽  
pp. 243-262 ◽  
Author(s):  
Giacomo Puppa
2012 ◽  
Vol 255 (2) ◽  
pp. 208-213 ◽  
Author(s):  
Lin-lin Tong ◽  
Peng Gao ◽  
Zhen-ning Wang ◽  
Yong-xi Song ◽  
Ying-ying Xu ◽  
...  

Lung Cancer ◽  
2013 ◽  
Vol 81 (1) ◽  
pp. 65-70 ◽  
Author(s):  
Byung Woo Jhun ◽  
Kyung-Jong Lee ◽  
Kyeongman Jeon ◽  
Gee Young Suh ◽  
Man Pyo Chung ◽  
...  

2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 433-433
Author(s):  
Siddhartha Yadav ◽  
Kritika Prasai ◽  
Mohamed Mady ◽  
Mohamed Abdelrahim Muddathir Hassan ◽  
Lewis R. Roberts ◽  
...  

433 Background: Current staging systems for gallbladder cancer (GBC) are inadequate, as they are based on surgical pathology, and therefore are not relevant for unresectable patients and patients undergoing neoadjuvant chemotherapy. Methods: Patients with a confirmed diagnosis of GBC who were seen at Mayo Clinic between the years 2000 and 2016 were included in this analysis. Data on demographic and tumor characteristics and outcomes were collected by retrospective review of electronic medical records. A model predictive of overall survival was developed using Cox proportional hazard regression analysis. Harrel’s C-statistic was calculated to evaluate the predictive accuracy of the model and compared with the TNM staging system. Results: A total of 523 patients were included in the final analysis, with a median age of diagnosis of 68 years. The median duration of follow up of the entire cohort was 12 months. In multivariate analysis, factors predictive of poorer overall survival were: ages 65-74 years (HR : 1.80, 95% CI: 1.33–2.43) and ages 75+ years (HR: 2.93, 95% CI: 2.12–4.06) compared to age <55 years; tumor size ≥ 5 cm by imaging (HR: 1.24, 95% CI: 1.01–1.55); nodal involvement by imaging (HR:1.61, 95% CI: 1.23–2.10); involvement of distant organs by imaging (HR: 2.85, 95% CI: 2.16–3.75); ECOG performance score of 2 or higher (HR: 1.78, 95% CI: 1.36–2.32) compared to ECOG 0-1; albumin level <3.5 g/dL (HR: 1.40, 95% CI: 1.08–1.81); and alkaline Phosphatase level ≥ 200 IU/L (HR: 1.49, 95% CI: 1.21–1.84). Using these seven predictive factors of survival we created a four-tier staging system. The median survivals of Stages I, II, III and IV created in our novel system were 64, 34, 20 and 7 months with corresponding hazard ratios of 1, 1.5, 2.5 and 8.5 respectively. The C-statistic for this novel staging system was 0.68 compared to C-statistic of 0.69 for the TNM staging system, indicating similar performance in predicting survival. Conclusions: We have created a novel clinically-based staging system for patients with GBC based on nonoperative information at the time of diagnosis which performs on par with the current surgical pathology based TNM staging system.


Cancer ◽  
2011 ◽  
Vol 117 (11) ◽  
pp. 2371-2378 ◽  
Author(s):  
Hun Jung ◽  
Han Hong Lee ◽  
Kyo Young Song ◽  
Hae Myung Jeon ◽  
Cho Hyun Park

2020 ◽  
Author(s):  
Chendong Wang

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.


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

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