Objective To investigate the safety and efficacy of combined confluence microdissection or balloon dilatation followed by laparoscopic transcystic common bile duct exploration (LTCBDE) in day surgery laparoscopic cholecystectomy. Methods The clinical data of 203 patients with day surgery laparoscopic cholecystectomy combined with LTCBDE from June 2021 to June 2024 in Beijing Friendship Hospital, Capital Medical University were retrospectively analyzed. They were divided into an observation group (59 cases, including 42 cases of confluent microdissection and 17 cases of balloon dilatation) and a conventional group (144 cases) according to the surgical technique used. Baseline characteristics, intraoperative exploration results, operation time, postoperative recovery and complications were compared between the two groups. Results The history of preoperative cholangitis or pancreatitis (P<0.001) was more common in the observation group. And total bilirubin level was significantly higher in the observation group than in the conventional group (P=0.035). The observation group had a longer operative time (P=0.014) and higher hospitalization costs (P=0.001), but there was no difference in intraoperative bleeding and postoperative discharge time. There were no serious postoperative complications in either group. Conclusions Under the premise of strict patient screening, day surgery LTCBDE combined with confluence microdissection or balloon dilatation can effectively solve the problem of difficult choledochoscopic access, with high safety and thoroughness of exploration. Both techniques provide a feasible minimally observation solution for day surgery biliary exploration.

Indocyanine green has been a popular near-infrared fluorescent reagent in recent years, and indocyanine green fluorescence imaging navigation surgery technology has been widely used in hepatobiliary surgery. Many factors affect imaging in various clinical scenarios, which are roughly divided into liver background fluorescence interference and penetrating tissue thickness, including the dose and timing of the drug, liver lesions of the patient, and individualization of the patient. Under the concept of precise surgery, we should individualise the treatment of patients to minimise the influence of unfavourable factors and further improve the safety and efficacy of surgery. Currently, there is no reliable research evidence to guide the use of indocyanine green in terms of influencing factors, and clinical studies are urgently needed to optimise the use of indocyanine green in hepatobiliary surgery.

Objective To compare the ability of single-phase,dual-phase,and triphasic models in forecasting postoperative pancreatic fistula(POPF)after pancreaticoduodenectomy(PD)using radiomics based on triphasic enhanced CT.Methods A total of 181 patients who underwent multi-phase enhanced CT prior to PD were retrospectively selected,and the collection phase included non-contrast,arterial phase(AP),and equilibrium phase(EP).3D Slicer software was utilized to segment the region of interest(ROI)for the postoperative pancreatic remnant on each phase.Radiomics feature extraction was performed using R software,followed by feature selection through least absolute shrinkage and selection operator(LASSO)regression with five-fold cross-validation to prevent model overfitting.The effective features selected were combined in a weighted linear manner to obtain a Radiomics score(Radscore).The patients were divided into training set and test set in a 7︰3 ratio.Logistic regression was employed to construct seven POPF prediction models(three single-phase,three dual-phase,and one triphasic models)based on different phase combinations.The diagnostic performance of the models was evaluated using the area under the curve(AUC)of receiver operating characteristic(ROC)curve,accuracy(ACC),sensitivity(SEN),and specificity(SPE).The DeLong test was applied to compare the differences in AUC among different models.Results After LASSO regression,24 effective features associated with POPF were selected from different phases.In the test set,the triphasic model exhibited the highest AUC and ACC(AUC=0.76,ACC=0.808).The calibration curve demonstrated the strongest agreement between the estimated probabilities and observed probabilities for the triphasic model.The decision curve analysis(DCA)curve indicated that the triphasic model had the largest threshold range with a higher net benefit.Conclusion Compared with single-phase and dual-phase models,the triphasic model based on enhanced CT provides better prediction of POPF after PD,aiding clinical decision-making and improve prognosis.

Objective To compare the ability of single-phase,dual-phase,and triphasic models in forecasting postoperative pancreatic fistula(POPF)after pancreaticoduodenectomy(PD)using radiomics based on triphasic enhanced CT.Methods A total of 181 patients who underwent multi-phase enhanced CT prior to PD were retrospectively selected,and the collection phase included non-contrast,arterial phase(AP),and equilibrium phase(EP).3D Slicer software was utilized to segment the region of interest(ROI)for the postoperative pancreatic remnant on each phase.Radiomics feature extraction was performed using R software,followed by feature selection through least absolute shrinkage and selection operator(LASSO)regression with five-fold cross-validation to prevent model overfitting.The effective features selected were combined in a weighted linear manner to obtain a Radiomics score(Radscore).The patients were divided into training set and test set in a 7︰3 ratio.Logistic regression was employed to construct seven POPF prediction models(three single-phase,three dual-phase,and one triphasic models)based on different phase combinations.The diagnostic performance of the models was evaluated using the area under the curve(AUC)of receiver operating characteristic(ROC)curve,accuracy(ACC),sensitivity(SEN),and specificity(SPE).The DeLong test was applied to compare the differences in AUC among different models.Results After LASSO regression,24 effective features associated with POPF were selected from different phases.In the test set,the triphasic model exhibited the highest AUC and ACC(AUC=0.76,ACC=0.808).The calibration curve demonstrated the strongest agreement between the estimated probabilities and observed probabilities for the triphasic model.The decision curve analysis(DCA)curve indicated that the triphasic model had the largest threshold range with a higher net benefit.Conclusion Compared with single-phase and dual-phase models,the triphasic model based on enhanced CT provides better prediction of POPF after PD,aiding clinical decision-making and improve prognosis.