A model prediction of long-term prognosis in patients with centrally located hepatocellular carcinoma undergoing hepatectomy
| Autor: | Chu Zhijie, Zheng Youwei, Liu Shan, Yang Yantong |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Male
medicine.medical_specialty Carcinoma Hepatocellular Time Factors genetic structures Model prediction medicine.medical_treatment urologic and male genital diseases Disease-Free Survival Neoplasms Multiple Primary 03 medical and health sciences 0302 clinical medicine medicine Hepatectomy Humans Neoplasm Invasiveness In patient Neoplasm Staging Proportional Hazards Models Retrospective Studies Tumor size Proportional hazards model business.industry Liver Neoplasms General Medicine Middle Aged Nomogram Prognosis medicine.disease Tumor Burden Survival Rate Nomograms ROC Curve Oncology Area Under Curve 030220 oncology & carcinogenesis Hepatocellular carcinoma Microvessels Cohort Female 030211 gastroenterology & hepatology Surgery Radiology business Genes Neoplasm |
| Zdroj: | European Journal of Surgical Oncology. 44:1595-1602 |
| ISSN: | 0748-7983 |
| DOI: | 10.1016/j.ejso.2018.06.009 |
| Popis: | Background and Objectives The prognostic prediction for centrally located hepatocellular carcinoma (CL-HCC) after hepatectomy has not been well established. We aimed to develop prognostic nomograms for patients undergoing hepatectomy for CL-HCC. Methods A cohort of 380 patients who underwent curative hepatectomy for CL-HCC at our hospital between 2009 and 2015 were retrospectively studied. We randomly divided the subjects into training (n = 210) and validation (n = 170) groups. Univariate and multivariate survival analysis were used to identify prognostic factors. Visually orientated nomograms were constructed using Cox proportional hazards models. The performance of the nomogram was evaluated by the area under the ROC curve (AUC), calibration curve and compared with the conventional staging systems. Results The statistical nomogram for OS built on the basis of ALBI grade, tumor number, tumor size, classification, hepatectomy methods, capsule formation and microvascular invasion (MVI) had good calibration and discriminatory abilities, with AUC of 0.746 (65-month survival). The nomogram for DFS was based on tumor number, tumor size, classification, HBV-DNA load, capsule formation and MVI, with AUC of 0.733 (65-month survival). These nomograms showed satisfactory performance in the validation cohort (AUC, 0.733 for 65-month OS; and 0.702 for 65-month DFS). The AUC of our nomograms were greater than those of conventional staging systems in the validation cohort. Conclusion The established nomograms might be useful for estimating survival for patients with CL-HCC after liver resection. |
| Databáze: | OpenAIRE |
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