Objective:To investigate the correlation between computed tomography (CT) findings and serum micrornA-497 (miR-497), carbohydrate polypeptide antigen 24-2 (CA24-2) and hepatitis B surface antigen (HBsAg) expression in patients with colorectal cancer (CRC).Methods:A total of 64 CRC patients admitted to the Jiangsu Cancer Hospital from January 2021 to December 2022 were prospectively selected, and the surgical pathological results were used as the gold standard. Preoperative CT examination and serum miR-497, CA24-2 and HBsAg levels were performed in all patients. The CT images of the patients were analyzed. Pearson correlation analysis was used to evaluate the correlation between CT findings and serum miR-497, CA24-2 and HBsAg expression levels in CRC patients.Results:The CT imaging features of CRC patients were as follows: The intestinal wall was semi-annular in 37.50%(24/64), annular in 32.81%(21/64), localized thickening in 29.69%(19/64), the intestinal lumen was irregular and narrow, and most of the periintestinal fat was blurred in 59.38%(38/64). 67.19%(43/64) showed uneven enhancement, 51.56%(33/64) had lymph node metastasis and 43.75%(28/64) had liver metastasis. Lymph node metastasis in CRC patients was correlated with serum miR-497 and CA24-2 levels (all P<0.05), but not with serum HBsAg levels ( P>0.05). Liver metastasis in CRC patients was associated with serum HBsAg expression ( P<0.05), but not with serum miR-497 and CA24-2 levels (all P>0.05). Other CT findings of CRC patients were not correlated with serum miR-497, CA24-2 and HBsAg levels (all P>0.05). Pearson correlation analysis showed that lymph node metastasis in CRC patients was negatively correlated with the expression level of serum miR-497 ( r=-0.491, P<0.05), while positively correlated with the expression level of serum CA24-2 ( r=0.506, P<0.05). There was no correlation with serum HBsAg expression level ( P>0.05). The occurrence of liver metastasis in CRC patients was negatively correlated with the expression level of serum HBsAg ( r=-0.529, P<0.05), but was not correlated with the expression levels of serum miR-497 and CA24-2 (all P>0.05). Conclusions:CT imaging findings can evaluate the biological behavior of tumor cells in CRC patients to a certain extent, and have a certain correlation with the expression levels of serum miR-497, CA24-2 and HBsAg, which can reflect the lymph node and liver metastasis of tumors, and provide a basis for clinical comprehensive treatment and prognosis prediction of patients.

Objective:To construct a comprehensive evaluation model of equipment operation efficiency,and to explore its application value in process management of large medical equipment.Methods:Based on the driving-pressure-state-impact-response(DPSIR)model,22 evaluation indicators of the operation efficiency of large medical equipment were selected,and the importance of the indicators was evaluated by the composite weight evaluation method.According to the comprehensive evaluation results of the operation efficiency,the management countermeasures for optimal allocation of large medical equipment,the improvement of management processes,the technical support and the improvement of efficiency were formulated.The 61 large medical equipment in clinical use in Public Health Clinical Medical Center of Chengdu from 2019 to 2022 was selected,and the traditional demonstration mode was adopted for process management for 57 devices from 2019 to 2020,the 60 devices(including 56 in the traditional demonstration mode and 4 new ones)from 2021 to 2022 adopted comprehensive evaluation mode for process management.The comprehensive evaluation index,the increase in operating benefit and the recognition of equipment use were compared between the two management modes of large medical equipment.Results:The operation benefit closeness and comprehensive coordination index of large medical equipment managed by comprehensive evaluation mode were(0.91±0.03)and(0.89±0.05),respectively,which were higher than those of the traditional demonstration mode,and the obstacle factor was(0.30±0.09),which was lower than that of the traditional demonstration mode,the difference was statistically significant(t=3.387,3.539,2.912,P<0.05).The increases of the cost-effectiveness,service benefit and development benefit of large medical equipment managed by comprehensive evaluation mode were(2.72±0.97)%,(3.16±0.97)%and(3.90±1.26)%,which were higher than those of traditional demonstration mode,the difference was statistically significant(t=3.428,4.130,4.135,P<0.05).The average scores of the recognition of users for the basic allocation,operation quality,service effect and management level of large medical equipment managed by comprehensive evaluation mode were(90.93±4.26)points,(92.14±4.32)points,(89.75±3.93)points and(92.67±2.94)points,respectively,which were higher than those of the traditional demonstration mode,the difference was statistically significant(t=4.042,5.294,4.438,6.142,P<0.05).Conclusion:The comprehensive evaluation model can improve the process management quality of large medical equipment,improve the operation efficiency of large medical equipment,and improve the recognition of the use of the use of large medical equipment.

Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.

Objective:To examine a survival prognostic model applicable for patients with intrahepatic cholangiocarcinoma (ICC) based on Bayesian network.Methods:The clinical and pathological data of ICC patients who underwent curative intent resection in ten Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected.A total of 516 patients were included in the study. There were 266 males and 250 females.The median age( M( Q R)) was 58(14) years.One hundred and sixteen cases (22.5%) with intrahepatic bile duct stones,and 143 cases (27.7%) with chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis.The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.One-year survival prediction models based on tree augmented naive Bayesian (TAN) and na?ve Bayesian algorithm were established by Bayesialab software according to different variables,a nomogram model was also developed based on the independent predictors.The receiver operating characteristic curve and the area under curve (AUC) were used to evaluate the prediction effect of the models. Results:The overall median survival time was 25.0 months,and the 1-,3-and 5-year cumulative survival rates was 76.6%,37.9%,and 21.0%,respectively.Univariate analysis showed that gender,preoperative jaundice,pathological differentiation,vascular invasion,microvascular invasion,liver capsule invasion,T staging,N staging,margin,intrahepatic bile duct stones,carcinoembryonic antigen,and CA19-9 affected the prognosis(χ 2=5.858-54.974, all P<0.05).The Cox multivariate model showed that gender,pathological differentiation,liver capsule invasion, T stage,N stage,intrahepatic bile duct stones,and CA19-9 were the independent predictive factors(all P<0.05). The AUC of the TAN model based on all 19 clinicopathological factors was 74.5%,and the AUC of the TAN model based on the 12 prognostic factors derived from univariate analysis was 74.0%,the AUC of the na?ve Bayesian model based on 7 independent prognostic risk factors was 79.5%,the AUC and C-index of the nomogram survival prediction model based on 7 independent prognostic risk factors were 78.8% and 0.73,respectively. Conclusion:The Bayesian network model may provide a relatively accurate prognostic prediction for ICC patients after curative intent resection and performed superior to the nomogram model.

Objective:To examine the value of number of metastatic lymph nodes(NMLN), lymph node ratio(LNR) and log odds of metastatic lymph nodes(LODDS) in assessing the prognosis of patients with intrahepatic cholangiocarcinoma(ICC).Methods:The clinical and pathological data of 440 ICC patients who underwent curative-intent resection in 10 of Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected, and the deadline of follow-up was April 30th, 2019. Among them, 205 were males and 235 were females, with age of (57.0±9.9) years (range:23-83 years).Eighty-five cases (19.3%) had intrahepatic bile duct stones, and 98 cases (22.3%) had chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis. The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.Results:A total of 440 patients underwent curative-intent resection and lymphadenectomy.R0 resection were achieved in 424 cases (96.4%) and R1 resection were in 16 cases (3.6%). The results of postoperative pathological examination showed that high, moderate and poor differentiation was 4.2%(18/426), 60.6%(258/426) and 35.2%(150/426), respectively.Adenocarcinoma was seen in 90.2%(397/440) and non-adenocarcinoma was seen in 9.8%(43/440), respectively. T stage: 2 cases (0.5%) with Tis, 83 cases(18.9%) with T1a, 97 cases(22.0%) with T1b, 95 cases(21.6%) with T2, 122 cases (27.7%) with T3 and 41 cases(9.3%) with T4.The overall median survival time was 24.0 months, and the 1-,3-, and 5-year survival rate was 74.3%, 37.7% and 18.3%, respectively. Lymphatic metastasis occurred in 175 patients(39.8%), the median total number of TNLE( M( Q R)) was 6(5), the median number of NMLN was 0(1), the median number of LNR was 0 (0.33) and the median number of LODDS was -0.70(-0.92). Rerults of univariate analysis showed that combined stones, pathological differentiation, vascular invasion, LODDS, margin and T staging affected the prognosis (all P<0.05). Rerults of multivariate analysis showed that pathological differentiation, LODDS, margin, and T staging were independent risk factors affecting the prognosis of ICC patients (all P<0.05). Conclusion:LODDS could be used as an optimal prognostic lymph node staging index for ICC, and it is also an independent risk factor for survival after curative intent resection.

Objective:To examine the value of number of metastatic lymph nodes(NMLN), lymph node ratio(LNR) and log odds of metastatic lymph nodes(LODDS) in assessing the prognosis of patients with intrahepatic cholangiocarcinoma(ICC).Methods:The clinical and pathological data of 440 ICC patients who underwent curative-intent resection in 10 of Chinese hepatobiliary surgery centers from January 2010 to December 2018 were collected, and the deadline of follow-up was April 30th, 2019. Among them, 205 were males and 235 were females, with age of (57.0±9.9) years (range:23-83 years).Eighty-five cases (19.3%) had intrahepatic bile duct stones, and 98 cases (22.3%) had chronic viral hepatitis.The Kaplan-Meier method was used for survival analysis. The univariate and multivariate analysis were implemented respectively using the Log-rank test and Cox proportional hazard model.Results:A total of 440 patients underwent curative-intent resection and lymphadenectomy.R0 resection were achieved in 424 cases (96.4%) and R1 resection were in 16 cases (3.6%). The results of postoperative pathological examination showed that high, moderate and poor differentiation was 4.2%(18/426), 60.6%(258/426) and 35.2%(150/426), respectively.Adenocarcinoma was seen in 90.2%(397/440) and non-adenocarcinoma was seen in 9.8%(43/440), respectively. T stage: 2 cases (0.5%) with Tis, 83 cases(18.9%) with T1a, 97 cases(22.0%) with T1b, 95 cases(21.6%) with T2, 122 cases (27.7%) with T3 and 41 cases(9.3%) with T4.The overall median survival time was 24.0 months, and the 1-,3-, and 5-year survival rate was 74.3%, 37.7% and 18.3%, respectively. Lymphatic metastasis occurred in 175 patients(39.8%), the median total number of TNLE( M( Q R)) was 6(5), the median number of NMLN was 0(1), the median number of LNR was 0 (0.33) and the median number of LODDS was -0.70(-0.92). Rerults of univariate analysis showed that combined stones, pathological differentiation, vascular invasion, LODDS, margin and T staging affected the prognosis (all P<0.05). Rerults of multivariate analysis showed that pathological differentiation, LODDS, margin, and T staging were independent risk factors affecting the prognosis of ICC patients (all P<0.05). Conclusion:LODDS could be used as an optimal prognostic lymph node staging index for ICC, and it is also an independent risk factor for survival after curative intent resection.