Affiliation:
1. Department of Hepatobiliary Surgery The First Affiliated Hospital of Wenzhou Medical University Wenzhou People's Republic of China
2. Key Laboratory of Diagnosis and Treatment of Severe Hepato‐Pancreatic Diseases of Zhejiang Province The First Affiliated Hospital of Wenzhou Medical University Wenzhou People's Republic of China
3. Department of Epidemiology and Biostatistics School of Public Health and Management Wenzhou Medical University Wenzhou People's Republic of China
4. Department of Interventional Therapy The First Affiliated Hospital of Wenzhou Medical University Wenzhou People's Republic of China
Abstract
AbstractPurposeIt is difficult to predict the prognosis of patients with pancreatic ductal adenocarcinoma (PDAC) before radical operation. The purpose of this study was to explore the connection between the diffuse reduction of spleen density on computed tomography (DROSD) and the postoperative prognosis of patients with PDAC.Patients and methodsA total of 160 patients with PDAC who underwent radical surgery in the First Affiliated Hospital of Wenzhou Medical University were enrolled. Cox regression analysis was used to cast the overall survival (OS) and evaluate the prognostic factors. Nomogram was used to forecast the possibility of 1‐year, 3‐year, and 5‐year OS. The prediction accuracy and clinical net benefit are performed by concordance index (C‐index), calibration curve, time‐dependent receiver operating characteristics (tdROC), and decision curve analysis.ResultsIn multivariable Cox analysis, DROSD is independently related to OS. Advanced age, TNM stage, neutrophil/lymphocyte ratio, and severe complications were also independent prognostic factors. The calibration curves of nomogram showed optimal agreement between prediction and observation. The C‐index of nomogram is 0.662 (95%CI, 0.606–0.754). The area under tdROC curve for a 3‐year OS of nomogram is 0.770.ConclusionDROSD is an independent risk factor for an OS of PDAC. We developed a nomogram that combined imaging features, clinicopathological factors, and systemic inflammatory response to provide a personalized risk assessment for patients with PDAC.
Funder
National Natural Science Foundation of China
Subject
Oncology,General Medicine