Detailed Abstract
[E-poster - Biliary & Pancreas (Biliary Disease/Surgery)]
[EP 203] Development of New Platforms for Predicting Early Recurrence And Survival in Resected Gallbladder cancer
OKJOO LEE1, So Kyoung YOON1, Hyun Jeong JEON2, Sang Geol KIM2, Hongbeom KIM3, Sang Hyun SHIN3, In Woong HAN3, Jin Seok HEO3, So Jeong YOON3
1Department of Liver Transplantation and Hepatobiliary Surgery, Soonchunhyang University College of Medicine, Republic of Korea, 2Department of Hepatobiliary and Pancreatic Surgery, Kyungpook National University Hospital, Republic of Korea, 3Department of Hepatobiliary and Pancreatic Surgery, Samsung Medical Center, Republic of Korea
Background : Gallbladder cancer (GBC) is a rare and highly aggressive malignancy, with majority of patients suffering disease relapse after surgical resection. Even after extended cholecystectomy, which isoften accompanied by high postoperative morbidity, some patients present with early recurrence. This study aimed to develop platforms for predicting early recurrence of patients with resected GBC.
Methods : Clinicopathologic data of patients who underwent curative resection for GBC between 2000 and 2020 were retrospectively reviewed. Early recurrence was defined as recurrence within a year from the day of surgery. Logistic regression analysis was performed to investigate risk factors for early recurrence and survival, and new nomograms were developed using the factors with statistical significance.
Results : A total of 251 patients were included in the development cohort. In a nomogram predicting early recurrence, sex, underlying chronic hepatitis, existence of preoperative symptoms, preoperative CEA, sarcopenic obesity, T stage of tumor, and lymph node metastasis were included. The area under the curve (AUC) was 0.872. For predicting overall survival, 9 variables were included: age, sex, underlying chronic hepatitis, existence of preoperative symptoms, existence of gallbladder stones, preoperative CA 19-9, tumor size, T stage of tumor, and lymph node metastasis. The AUC was 0.843.
Conclusions : We proposed new nomograms for predicting early recurrence and survival in resected GBC using preoperatively measurable parameters. Further study is needed to validate the feasibility of the platforms.
Methods : Clinicopathologic data of patients who underwent curative resection for GBC between 2000 and 2020 were retrospectively reviewed. Early recurrence was defined as recurrence within a year from the day of surgery. Logistic regression analysis was performed to investigate risk factors for early recurrence and survival, and new nomograms were developed using the factors with statistical significance.
Results : A total of 251 patients were included in the development cohort. In a nomogram predicting early recurrence, sex, underlying chronic hepatitis, existence of preoperative symptoms, preoperative CEA, sarcopenic obesity, T stage of tumor, and lymph node metastasis were included. The area under the curve (AUC) was 0.872. For predicting overall survival, 9 variables were included: age, sex, underlying chronic hepatitis, existence of preoperative symptoms, existence of gallbladder stones, preoperative CA 19-9, tumor size, T stage of tumor, and lymph node metastasis. The AUC was 0.843.
Conclusions : We proposed new nomograms for predicting early recurrence and survival in resected GBC using preoperatively measurable parameters. Further study is needed to validate the feasibility of the platforms.
SESSION
E-poster
E-Session 03/21 ALL DAY