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find Author "LI Changfeng" 3 results
  • Effect of Bile from Patients with Anomalous Pancreaticobiliary Ductal Union on Growth of Human Cells of Bile Duct

    Objective  To explore the effects of bile from anomalous parcreaticobiliary ductal union (APBDU) patients on the growth of hunan cells of bile ducts, and the relationship between APBDU with bile duct carcinoma. Methods Bile sample from APBDU patients and normal persons were used for cells of bile ducts. The proliferative effect of bile was measured by mathabenzthiazuron (MTT) assay; Cell cycle and apoptosis were analyzed by flow cytometry (FCM); Expression level of c-erbB-2 was detected by Western blot assay. Results Bile from APBDU patients significantly promoted the proliferation of human cells of bile ducts compared with normal bile (P<0.05). The effect was abolished by addition of COX-2 inhibitor or iNOS inhibitor. The percentage of S period cells in group pretreated with APBDU bile was significantly increased compared with pretreated with normal bile (P<0.001). The expression level of c-erbB-2 was increased in cell pretreated with APBDU bile. Conclusion Bile from APBDU patients can promote the proliferation of normal cells of bile ducts and may have potential carcinogenesis.

    Release date:2016-08-28 04:08 Export PDF Favorites Scan
  • Analysis of risk factors of infection after radiofrequency ablation in patients with liver metastases after choledochojejunostomy

    Objective To investigate the risk factors of infection after radiofrequency ablation in patients with liver metastases after choledochojejunostomy. Methods The clinical data of patients with liver metastases treated by radiofrequency ablation in our hospital from January 2010 to April 2022 were collected retrospectively and analyzed by univariate and multivariate logistic regression analysis. Results A total of 57 patients were included in the study, and the total number of postoperative infections was 19 (33.33%). Univariate logistic regression analysis showed that the tumor location, maximum tumor diameter, number of tumors, ablation times, and ablation duration were related to the occurrence of infection after radiofrequency ablation (P<0.01). The results of multivariate logistic regression analysis showed that the tumor location [OR=6.45, 95%CI (1.11, 37.35), P=0.037] and ablation duration [OR=1.49, 95%CI (1.16, 1.91), P=0.002] were independent risk factors for infection after radiofrequency ablation in patients with choledocho-jejunostomy. Conclusions For patients with metastatic liver cancer with a history of choledochojejunostomy, the tumor location and the duration of ablation are closely related to postoperative infection. We should strengthen the indivi-dualized management of such patients during and after operation should be strengthened to promote disease recovery.

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  • A model based on MRI radiomics features for prediction of microvascular invasion in hepatocellular carcinoma

    ObjectiveTo establish a model for predicting microvascular invasion (MVI) of hepatocellular carcinoma based on magnetic resonance imaging (MRI) radiomics features.MethodsThe clinical and pathological datas of 190 patients with hepatocellular carcinoma who received surgical treatment in our hospital from September 2017 to May 2020 were prospectively collected. The patients were randomly divided into training group (n=158) and test group (n=32) with a ratio of 5∶1. Gadoxetate disodium (Gd-EOB-DTPA) -enhanced MR images of arterial phase and hepatobiliary phase were used to select radiomics features through the region of interest (ROI). The ROI included the tumor lesions and the area dilating to 2 cm from the margin of the tumor. Based on a machine learning algorithm logistic, a radiomics model for predicting MVI of hepatocellular carcinoma was established in the training group, and the model was evaluated in the test group.ResultsSeven radiomics features were obtained. The area under the receiver operating characteristic curve (AUC) of the training group and the test group were 0.830 [95%CI (0.669, 0.811)] and 0.734 [95%CI (0.600, 0.936)], respectively.ConclusionThe model based on MRI radiomics features seems to be a promising approach for predicting the microvascular invasion of hepatocellular carcinoma, which is of clinical significance for the management of hepatocellular carcinoma treatment.

    Release date:2021-02-08 07:10 Export PDF Favorites Scan
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