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Objective:To explore the etiology, pathogenesis, clinical features, diagnosis and treatment of hepatic sinus obstruction syndrome(HSOS)after orthotopic liver transplantation(OLT).Methods:Clinical data were reviewed for 3 HSOS patients after OLT.Baseline profiles, primary disease, onset, clinical manifestations, abdominal imaging and pathological changes were recorded for summarizing the key points of diagnosis, treatment and outcomes of HSOS after OLT.Results:HSOS was an extremely rare complication after OLT with an incidence of 2%(2/117)and a median onset of 15(13-50)days.The major clinical manifestations were hepatic pain, abdominal distension, poor appetite, fatigue, jaundice, oliguria, peritoneal effusion and pleural effusion.Some of them were complicated with acute renal insufficiency.Abdominal ultrasonography revealed that blood stream of hepatic and portal veins was smooth but rather slow and hepatic parenchyma showed uneven echo changes.Abdominal enhanced computed tomography(CT)demonstrated " mosaic" and " map-like" uneven enhancement in portal vein and balance phases.The pathological manifestations of liver biopsy included obvious dilation and congestion of hepatic sinuses, swelling and necrosis of hepatic cells, thickening of hepatic venules and luminal stenosis or occlusion.All of them received immunosuppressants.Tacrolimus was switched to sirolimus, low molecular weight heparin or plus rivaroxaban anticoagulant thrombolytic therapy, methylprednisolone regulatory immunotherapy, albumin supplementation, diuresis, hepatic protection and fluid replacement.Afterward clinical symptoms of 2 patients improved, became cured and discharged.One case died from gastrointestinal hemorrhage and acute renal failure secondary to multiple organ failure.Conclusions:HSOS is an extremely rare but severe complication after OLT.Early diagnosis and fine-tuning of treatment protocols can avoid poor prognosis such as liver and kidney failure and significantly improve patient survival.
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Objective:To investigate the application value of artificial neural network in laparoscopic surgery training.Methods:The prospective cohort study was conducted. A total of 158 trainees from the First Hospital Affiliated to Army Medical University between Semptember and November, 2019 who had no experience in laparoscopic technology were selected for laparoscopic surgery training, including 52 graduate students of surgery from grade 2019, 2018 and 2017, 58 surgeons receiving standardized residency training, 12 interns and 36 refresher physicians. The 158 trainees were divided into two groups using the random number table. Trainees trained by artificial neural network laparoscopic simulator were allocated into artificial neural network group, and trainees trained by box laparoscopic simulator were allocated into general laparoscopic simulator group. Trainees in both groups were trained using the laparoscopic simulator for 10 hours (5-day continuous training, 2 hours per day) on fundamentals of laparoscopic surgery. Observation indicators: (1) comparison of operation grades on laparoscopic simulator before and after training in the two groups; (2) comparison of improvement of the operation grades on laparoscopic simulator after training between the two groups. Measurement data with normal distribution were represented as Mean± SD, comparison within groups was analyzed using the paired t test and comparison between groups was analyzed using the independent sample t test. Measurement data with skewed distribution were represented as M (range). Results:A total of 158 trainees were selected for eligibility, including 140 males and 18 females, aged from 23 to 34 years, with a median age of 27 years. Of the 158 trainees, 79 were in the artificial neural network group and 79 were in the general laparoscopic simulator group. (1) Comparison of operation grades on laparoscopic simulator before and after training in the two groups: operation grades of the nails transferring, pattern cutting, ligation, sewing knots in vivo and sewing knots in vitro for the artificial neural network group before training were 51.2±4.9, 45.6±3.7, 43.0±3.6, 42.1±3.1, and 39.6±3.1, respectively. The above indicators for the artificial neural network group after training were 78.6±3.0, 76.4±3.9, 79.9±2.5, 78.3±3.5, and 84.1±3.8, respectively. There were significant differences in the above indicators for the artificial neural network group before and after training ( t=-42.490, -56.256, -80.373, -70.802, -79.742, P<0.05). The above indicators for the general laparoscopic simulator group before training were 50.1±2.9, 45.4±3.9, 42.7±3.0, 42.3±3.4, and 39.2±4.7, respectively. The above indicators for the general laparoscopic simulator group after training were 70.4±5.0, 69.8±4.0, 72.3±3.3, 72.3±3.5, and 72.8±3.2, respectively. There were significant differences in the above indicators for the general laparoscopic simulator group before and after training ( t=-28.942, -42.436, -58.357, -52.322, -53.098, P<0.05). (2) Comparison of improvement of the operation grades on laparoscopic simulator after training between the two groups: improvement of the operation grades in the nails transferring, pattern cutting, ligation, sewing knots in vivo and sewing knots in vitro for the artificial neural network group after training were 27.4±5.7, 30.8±5.0, 36.9±4.1, 36.2±4.5 and 39.5±5.4, respectively. The above indicators for the general laparoscopic simulator group after training were 20.3±6.2, 24.4±5.1, 29.6±4.5, 29.9±5.1 and 33.5±5.6, respectively. There were significant differences in the above indicators between the two groups ( t=7.597, 7.946, 10.638, 8.200, 6.969, P<0.05). Conclusion:The introduction of artificial neural network in laparoscopic surgery training can improve the training effects.
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Objective To explore the application effect of mixed reality technology in the teaching of hepatobiliary surgery.Methods A total of 120 professional postgraduates majored in surgery who had received the four-month standardized training of residents in hepatobiliary surgery department of the First Affiliated Hospital of Army Military Medical University and the First Affiliated Hospital of Chongqing Medical University during 2016-2018 were selected and were equally allocated into the control group and the research group via random number table method.Students in the control group were trained with traditional surgical teaching mode and in the research group were trained with three-dimensional visualization model which was constructed by mixed reality.Students in both groups received assessment and questionnaires at the end of training.Results Scores of theoretical examination and surgical operation assessment of students in the research group were higher than those in the control group(P＜0.05).The error rate for separating gallbladder artery and bile duct in the laparoscopic simulated system of students in the research group was significantly lower than that in the control group(P＜0.05).Students-teacher satisfaction degree in the research group was higher than that in the control group(P＜0.05).Conclusion Using mixed reality technology to construct a three-dimensional visualization model and to implement hepatobiliary surgery teaching enables the trainees to better master anatomical key points in the hepatobiliary system and the hepatobiliary surgical approach,with good feedback.
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Objective@#To explore the application effect of mixed reality technology in the teaching of hepatobiliary surgery.@*Methods@#A total of 120 professional postgraduates majored in surgery who had received the four-month standardized training of residents in hepatobiliary surgery department of the First Affiliated Hospital of Army Military Medical University and the First Affiliated Hospital of Chongqing Medical University during 2016-2018 were selected and were equally allocated into the control group and the research group via random number table method. Students in the control group were trained with traditional surgical teaching mode and in the research group were trained with three-dimensional visualization model which was constructed by mixed reality. Students in both groups received assessment and questionnaires at the end of training.@*Results@#Scores of theoretical examination and surgical operation assessment of students in the research group were higher than those in the control group (P<0.05). The error rate for separating gallbladder artery and bile duct in the laparoscopic simulated system of students in the research group was significantly lower than that in the control group (P<0.05). Students-teacher satisfaction degree in the research group was higher than that in the control group (P<0.05).@*Conclusion@#Using mixed reality technology to construct a three-dimensional visualization model and to implement hepatobiliary surgery teaching enables the trainees to better master anatomical key points in the hepatobiliary system and the hepatobiliary surgical approach, with good feedback.
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At present,liver transplantation has become an important therapy for patients with end-stage liver and gallbladder diseases.However,biliary stricture after liver transplantation occurs commonly and greatly,which hampers the clinical efficacy.Endoscopic retrograde cholangiopancreatography has become the first choice for diagnosis and treatment of biliary stricture after liver transplantation,though its operation is difficult and complicated.In recent years,a large number of studies on the pathogenesis and prevention of biliary stricture after liver transplantation have been investigated.Endoscopic diagnosis and treatment also have made great theoretical and technological advances.In this review the author aims to analyze the current literature and make a detailed discussion on the above issues,in order to provide reference for domestic counterparts.