Chun-Nan Yeh1, Shang-Yu Wang2, Yen-Yang Chen3, Ming-Huang Chen4, Kun-Chun Chiang5, Chi-Tung Cheng6, Chun-Yi Tsai6, Chih-Chi Wang7, Ta-Sen Yeh1, Tse-Ching Chen8. 1. General Surgery Department, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan, R.O.C. yehchunnan@gmail.com tsy470127@cgmh.org.tw. 2. General Surgery Department, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan, R.O.C. Graduate Institute of Clinical Medical Sciences, Chang Gung University, Taoyuan, Taiwan. R.O.C. 3. Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital, Kaohsiung Branch, Kaohsiung, Taiwan, R.O.C. 4. Divsion of Hematology and Oncology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan, R.O.C. Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan, R.O.C. 5. General Surgery Department, Chang Gung Memorial Hospital, Keelung Branch, Keelung, Taiwan, R.O.C. 6. General Surgery Department, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan, R.O.C. 7. Department of General Surgery, Chang Gung Memorial Hospital, Kaohsiung Branch, Kaohsiung, Taiwan, R.O.C. 8. Department of Anatomical Biology, Chang Gung Memorial Hospital, Linkow Branch, Taoyuan, Taiwan, R.O.C.
Abstract
AIM: We hypothesized that a nomogram can accurately predict overall survival (OS) for patients with intrahepatic cholangiocarcinoma (ICC) after hepatectomy. MATERIALS AND METHODS: A nomogram to predict OS based was developed using data from 185 ICC patients who had undergone hepatectomy. The nomogram was evaluated by concordance index (C-index), as well as testing calibration of predicted OS with observed OS for both internal and external cohorts. RESULTS: Ten clinicopathological independent factors for OS prediction were selected for use in the nomogram. For internal validation, the calibration curve for probability of OS showed good agreement between prediction by the nomogram and actual observation. In three external validation cohorts, the nomogram discrimination was also superior to two other staging systems. CONCLUSION: A nomogram integrating ten clinicopathological variables was developed that may assist in individual prognostic prediction of ICC after hepatectomy. Copyright
AIM: We hypothesized that a nomogram can accurately predict overall survival (OS) for patients with intrahepatic cholangiocarcinoma (ICC) after hepatectomy. MATERIALS AND METHODS: A nomogram to predict OS based was developed using data from 185 ICC patients who had undergone hepatectomy. The nomogram was evaluated by concordance index (C-index), as well as testing calibration of predicted OS with observed OS for both internal and external cohorts. RESULTS: Ten clinicopathological independent factors for OS prediction were selected for use in the nomogram. For internal validation, the calibration curve for probability of OS showed good agreement between prediction by the nomogram and actual observation. In three external validation cohorts, the nomogram discrimination was also superior to two other staging systems. CONCLUSION: A nomogram integrating ten clinicopathological variables was developed that may assist in individual prognostic prediction of ICC after hepatectomy. Copyright