摘要
Abstract
Objective To explore the prediction model of residual cancer risk in patients with primary liver cancer after argon-helium cryoablation based on T lymphocyte subsets.Methods The clinical data of 80 patients with primary liver cancer treated by argon-helium cryoablation in Lu.an Hospital Affiliated to Anhui Medical University from August 2018 to August 2023 were retrospectively analyzed.According to whether there were residual cancer tissues in MRI or CT examination three months after operation,the patients were divided into a residual cancer group(35 cases)and a non-residual cancer group(45 cases),and the clinical data,operation conditions and T lymphocyte subsets(CD3+,CD4+,CD8+)were collected.Logistic regression model was used to analyze the influencing factors of postoperative residual cancer risk in patients with primary liver cancer,and Logistic regression equation and postoperative residual cancer risk prediction model were established,and Calibration curve was used to evaluate the calibration ability of the model.The performance characteristic curve(ROC)and the area under the curve(AUC)of the subjects verify the prediction efficiency of the model.Results The levels of CD3+,CD4+and CD4+/CD8+in residual cancer group were lower than those in non-residual cancer group.The number of tumors,tumor diameters,and CD8+level was higher than in the residual cancer group those in the non-residual cancer group(P＜0.05).Logistic regression analysis showed that the number of tumors,tumor diameter,CD3+,CD4+,CD8+and CD4+/CD8+were all risk factors for postoperative residual cancer in patients with primary liver cancer(P＜0.05).Calibration curve and Hosmer-Lemeshow test showed that χ2 = 1.538,df=7,P=0.964. ROC curve prediction was 0.873(95%CI:0.815-0.942),the sensitivity was 90.48%,and the specificity was 75.18%.Bootstrap internal verification results show that the C-index was 0.824.Conclusions The number of tumors,tumor diameter,and T-lymphocyte subsets are the risk factors of residual cancer in patients with primary liver cancer after operation,and the nomogram prediction model has high distinction and precision.Therefore,it can be judged whether there are residual lesions after operation by detecting the level of T-lymphocyte subsets in clinics.关键词
T淋巴细胞亚群/原发性肝癌/氩氦刀冷冻消融术/影响因素/风险预测Key words
T-lymphocyte subsets/Primary liver cancer/Argon-helium cryoablation/Influencing factors/Risk forecast
