Objective:To analyze the safety and therapeutic efficacy of laparoscopic pancreaticoduodenectomy (LPD) and laparoscopic total pancreatectomy (LTP) in the treatment of pancreatic cancer.Methods:Clinical data of 87 patients with pancreatic head and neck cancer who underwent LPD or LTP in the Department of General Surgery at Peking Union Medical College Hospital from December 2018 to August 2023 were retrospectively analyzed. The surgical approach, operative time, intraoperative blood loss volume, conversion rate to open surgery, perioperative mortality, re-operative rate, rate of major postoperative complications, postoperative hospital stay, number of lymph nodes harvested, tumor pathological stage, R 0 resection rate, initiation of postoperative chemotherapy and survival outcomes were recorded. The follow-up period extended until September 2023. Results:Among the 87 patients, 78(89.7%) underwent LPD and 9(10.3%) underwent LTP. PV-SMV vascular resection and reconstruction was performed in 16 cases (18.4%), and 11 cases totally underwent laparoscopy. Five cases (5.7%) required conversion to open surgery. The mean operative time was 279.8±74.0 minutes, and the mean intraoperative blood loss volume was 520.1±743.2 ml. The overall length of hospital stay was 15.9±6.3 days, with a mean postoperative hospital stay of 11.5±6.0 days. The rate of major postoperative complications was 19.5%, including 4 cases (4.6%) of postoperative bile leakage, 6 cases (6.9%) of postoperative gastric emptying disorders, and 3 cases (3.4%) of postoperative bleeding. There was one case (1.1%) with secondary surgery and one case (1.1%) with perioperative death. Among LPD patients, 5 cases (6.4%) had postoperative grade B or higher pancreatic fistula. Advanced age (≥70 years) did not increase the incidence of perioperative complications. All patients achieved R 0 resection. The mean number of lymph nodes harvested was 25.9±11.4. The median time to initiation of postoperative chemotherapy was 2.13±1.43 months. The median overall survival was 16 months. Conclusions:In a high-volume center for pancreatic diseases, LPD and LTP are safe and feasible for the treatment of pancreatic cancer, which could achieve satisfactory anti-tumor efficacy and improve patients' prognosis.

Objective:To analyze the clinical characteristics of invasive intervention-related intestinal fistula in patients with acute pancreatitis (AP).Methods:We retrospectively analyzed the clinical data of 177 moderately severe acute pancreatitis (MSAP) or severe acute pancreatitis (SAP) patients who received invasive intervention in Peking Union Medical College Hospital from January 2003 to December 2022. Patients were divided into fistula group and non-fistula group based on the presence or absence of fistula after or during receiving invasive interventions. The age, gender, etiology, systemic inflammatory response syndrome(SIRS), impairment of organ function, revised Atlanta classification, bedside index of severity of acute pancreatitis(BISAP), Balthazar CT classification, extra-pancreatic involvement and secondary infection of local complications, indications, timing and modalities of invasive interventions, length of hospitalization, length of intensive care and outcomes were recorded. The differences on clinical characteristics were compared between the two groups.Results:Intestinal fistulae were found in 21(11.9%) cases during or after invasive intervention, including 8 during or after percutaneous drainage and 13 during or after surgeries. 51 cases received endoscopic drainage or debridement and no intestinal fistula occurred after endoscopic management. Compared to patients without fistula, the median age was younger in the fistula group (36 vs 45 years, P=0.014), and the occurrence of SIRS (95.2% vs 59.6%, P=0.001), extra-pancreatic invasion (100.0% vs 67.3%, P=0.002), and secondary infection (71.4% vs 36.5%, P=0.002) were higher. Patients with fistula had a longer median length of hospitalization (71 vs 40 days, P=0.016) and intensive care (8 vs 0 days, P=0.002). All patients in the fistula group had peri-pancreatic, abdominal and retroperitoneal involvement seen on imaging or intraoperatively. The intestinal fistulae mainly occurred in the colon ( n=13, 61.9%) and the duodenum ( n=6, 28.6%). The confirmed diagnosis of fistulae was based on transfistula imaging ( n=11) or digestive tract imaging ( n=5). Among 13 cases with colonic fistulae, nonsurgical treatment was preferred in 9 cases, and surgeries of fistula repairmen or proximal ostomy were preferred in 4 cases. Among 8 cases with non-colonic fistulae, nonsurgical treatment was preferred in 7 cases, and only 1 case repaired the fistula immediately during the intraoperative detection. Conclusions:Intestinal fistula is an important complication of severe AP, and it is closely associated with invasive interventions. Improved invasive intervention strategies may help prevent intestinal fistula formation; timely and effective management of intestinal fistula may help avoid complications and shorten hospitalization.

To investigate the differences in postoperative short-term complications and long-term prognosis of pancreatic cancer(PC) patients after total pancreatectomy(TP) and pancreaticoduodenectomy(PD).

A young man with a history of thrombocytopenia for seven years presented with splenomegaly and fever and rapidly evolved to disseminated intravascular coagulation (DIC) and hemorrhagic shock. Spontaneous rupture of the spleen was diagnosed. The critical patient underwent an emergency splenectomy. Pathological examination revealed splenic peliosis, an extremely rare disease with unknown etiology and pathogenesis. Despite the high mortality rate due to spontaneous splenic rupture with DIC, the patient was successfully treated and the details of the case are presented in this report.

Objective:To analyze the ultrasound characteristics of small bowel volvulus among adults and to investigate the value of ultrasound in the diagnosis of small bowel volvulus.Methods:Totally 34 adults with small bowel volvulus confirmed by clinical diagnosis or surgery and who underwent ultrasound examination at Peking Union Medical College Hospital from August 2017 to October 2022 were enrolled, including 19 males and 15 females, aged (55.0±21.8) years (range: 19 to 94 years). The clinical characteristics, CT images and ultrasound images of the patients were retrospectively reviewed, and the ultra, sound features of small bowel volvulus and its diagnostic efficacy were analyzed.Results:Abdominal pain was the typical clinical symptom of all patients. Other symptoms included 21 cases of abdominal distension, 19 cases of nausea and vomiting, and 13 cases of cessation of passage of stool or flatus. Eight patients had signs of peritonitis and 22 patients had abnormal bowel sounds. Twenty patients had a history of abdominal surgery. Twenty-seven patients underwent surgery for intestinal obstruction, and the remaining 7 patients improved after conservative treatment. All cases were evaluated by ultrasound, 11 cases showed a “whirl sign” and were diagnosed as small bowel volvulus, the diagnostic accuracy rate was 32.4% (11/34), ultrasound simultaneously diagnosed intestinal obstruction in 21 cases, 17 cases of abdominal effusion, 4 cases of intestinal wall thickening, 2 cases of abdominal mass, 1 case of intussusception, 1 case of right sided inguinal hernia. CT and ultrasound had a consistent positive discovery in 88.2% (30/34) of all the patients.Conclusion:Ultrasound is valuable in the diagnosis of small bowel volvulus and the evaluation of complications.

Objective:To analyze the ultrasound characteristics of small bowel volvulus among adults and to investigate the value of ultrasound in the diagnosis of small bowel volvulus.Methods:Totally 34 adults with small bowel volvulus confirmed by clinical diagnosis or surgery and who underwent ultrasound examination at Peking Union Medical College Hospital from August 2017 to October 2022 were enrolled, including 19 males and 15 females, aged (55.0±21.8) years (range: 19 to 94 years). The clinical characteristics, CT images and ultrasound images of the patients were retrospectively reviewed, and the ultra, sound features of small bowel volvulus and its diagnostic efficacy were analyzed.Results:Abdominal pain was the typical clinical symptom of all patients. Other symptoms included 21 cases of abdominal distension, 19 cases of nausea and vomiting, and 13 cases of cessation of passage of stool or flatus. Eight patients had signs of peritonitis and 22 patients had abnormal bowel sounds. Twenty patients had a history of abdominal surgery. Twenty-seven patients underwent surgery for intestinal obstruction, and the remaining 7 patients improved after conservative treatment. All cases were evaluated by ultrasound, 11 cases showed a “whirl sign” and were diagnosed as small bowel volvulus, the diagnostic accuracy rate was 32.4% (11/34), ultrasound simultaneously diagnosed intestinal obstruction in 21 cases, 17 cases of abdominal effusion, 4 cases of intestinal wall thickening, 2 cases of abdominal mass, 1 case of intussusception, 1 case of right sided inguinal hernia. CT and ultrasound had a consistent positive discovery in 88.2% (30/34) of all the patients.Conclusion:Ultrasound is valuable in the diagnosis of small bowel volvulus and the evaluation of complications.

Objective:To explore whether deep learning could apply to recognize the recurrent laryngeal nerve in the video of unilateral axillary approach endoscopic thyroidectomy.Methods:Videos of endoscopic thyroidectomy via unilateral axillary approach in Peking Union Medical College Hospital from Jul. 1st, 2020 to May. 1st, 2021 were collected. Videos containing the recurrent laryngeal nerve were selected, and the outline of recurrent laryngeal nerve were marked by two senior thyroid surgeons and staffs. Data were divided into training set and test set in a ratio of 5:1, and classified into high, medium and low recognition group according to difficulty of recognizing the outline of the nerve. The neuron network was based on PSPNet combined with Resnet50. All data were analyzed by R (ver. 4.0.2) .Results:A total of 38 videos including 35,501 frames of pictures were included in this study. 29, 704 frames of 32 videos were in our training set and 5797 frames of 6 videos were in the test set. When the intersection over union (IOU) threshold is 0.1, the sensitivity and precision is 100.0%/92.1%, 95.8%/80.2% and 81.0%/80.6% in high, medium and low recognition group respectively. When the IOU threshold is 0.5, the sensitivity and precision is 92.6%/85.3%, 71.7%/60.5% and 38.1%/37.9% in high, medium and low recognition group respectively, indicating that neuron network could located the outline of recurrent laryngeal nerve in high and medium recognition group. False negatives were often due to small targets and unclear boundaries.Conclusion:Recurrent laryngeal nerve recognition based on deep learning is feasible and has potential application value in endoscopic thyroidectomy, which may help surgeons reduce the risk of accidental injury of recurrent laryngeal nerve and improve the safety of thyroidectomy.

Objective:To explore whether deep learning could apply to recognize the recurrent laryngeal nerve (RLN) in videos of endoscopic thyroidectomy (ETE) via breast approach.Methods:Videos of ETE via breast approach in Peking Union Medical College Hospital from Feb. 2020 to Aug. 2021 were collected. Videos containing RLN were selected, and the outline of RLN was marked by two thyroid surgeons. Then data were divided into a training set and a test set in a ratio of 5:1 and classified into the high and low difficulty group according to a senior thyroid surgeon’s opinion. Those pictures were input to D-LinkNet model. Precision, sensitivity and mean dice index was calculated.Results:A total of 46 videos including 153, 520 frames of pictures were included in this study. 131,039 frames of 39 videos were in the training set and 22,481 frames of 7 videos were in the test set. When the intersection over union threshold was 0.1, the sensitivity and precision was 92.9%/72.8% and 47.6%/54.9% in high and low recognition group, respectively. When the intersection over union threshold was 0.5, the sensitivity and precision turned to 85.8%/67.2% and 37.6%/43.5% in high and low difficulty group, respectively. Mean Dice index was 0.781 and 0.663 in high and low difficulty group, respectively.Conclusions:RLN recognition based on deep learning is feasible and has potential application value in ETE, which may help surgeons reduce the risk of accidental injury of RLN and improve the safety of thyroidectomy.

Peking Union Medical College Hospital, as one of the most stressful medical institutions in China, is facing the problem of emergency department overcrowding. In order to effectively alleviate the emergency overcrowding, improve the medical quality and patients′ medical experience, the hospital firmly grasped the two incremental links of " throughput" and " output" factors, established a multidisciplinary and multi-department cooperation team, constructed a close medical alliance cooperation mode, and innovated and explored a harmonious emergency overcrowding relief mode with the goal of unblocking the " exit" of patients. The practice showed that the comprehensive measures could effectively alleviate the problem of emergency overcrowding, and improve the medical environment and medical quality.

Objective:To investigate the application value of machine learning algorithms for gauze detection in laparoscopic pancreatic surgery.Methods:The retrospective and descriptive study was conducted. The 80 intact laparoscopic pancreatic surgery videos from Peking Union Medical College Hospital of Chinese Academy of Medical Sciences with timing of July 2017 to July 2020 were collected. The training set was used to train the neural network, and the test set was used to test the ability of neural network for gauze detection under different difficulties. Under the supervision of two superior doctors, videos that containing gauze were selected and classified according to recognition difficulty into three difficulty level including easy, normal and hard difficulty, and further divided based on random number method into training set with 61 videos and test set with 19 videos in a ratio of 3:1 roughly. The minimum enclosing rectangle of the gauze were marked frame by frame. All images were input to the neural network model for training after normalization and preprocessing. For every image, the output of neural network is the predicted minimum enclosing rectangle of gauze. The intersection over union >0.5 was identified as positive result. Observation indicators: (1) video annotation and classification; (2) test outcomes of neural network for test set.Count data were represented as absolute numbers or percentages.Results:(1) Video annotation and classification: a total of 26 893 frames of images form 80 videos were annotated, with 61 videos including 22 564 frames of images as the training set and 19 videos including 4 329 frames of images as the test set. Of the training set, 19 videos including 5 791 frames of images were classifed as easy difficulty, 38 videos including 15 771 frames of images were classifed as normal difficulty, 4 videos including 1 002 frames of images were classifed as hard difficulty, respectively. Of the test set, 4 videos including 1 684 frames of images were classifed as easy difficulty, 6 videos including 1 016 frames of images were classifed as normal difficulty, 9 videos including 1 629 frames of images were classifed as hard difficulty, respectively. (2) Test outcomes of neural network for test set: the overall sensitivity and accuracy of gauze detection by neural network in the test set were 78.471%(3 397/4 329) and 69.811%(3 397/4 866), respectively. The sensitivity and accuracy of gauze detection by neural network were 94.478%(1 591/1 684) and 83.168%(1 591/1 913) in easy difficulty test set. The sensitivity and accuracy of gauze detection by neural network were 80.413%(817/1 016) and 70.859%(817/1 153) in normal difficulty test set, 60.712%(989/1 629) and 54.944%(989/1 800)in hard difficulty test set. The frame rate reached more than or equally to 15 fps. The overall false negative rate and false positive rate of gauze detection by neural network in the test set were 21.529%(932/4 329) and 30.189%(1 469/4 866), respectively. The false negative was mainly due to the existence of blurred images, too small gauze exposure or blood immersion of gauze. The false positive was caused by the reflection of connective tissue or body fluids.Conclusion:The machine learning algorithms for gauze detection in laparoscopic pancreatic surgery is feasible, which could help medical staff identify gauze.