Objective To compare the curative effect of open and minimally invasive treatment of acute closed achilles tendon rupture with 5 years followed-up study.Methods From September,2010 to January,2012,28 patients with acute closed Achilles tendon rupture in our hospital were followed up for 5 years.There were 21 males and 7 females.Minimally invasive percutaneous suture in 11 cases;open suture in the treatment of 17 cases.The patients were followed up at 6 months,1 year,2 years,3 years,4 years,and 5 years after AOFAS and ATRS score.Results The follow-up time ranged from 60 to 72 months.All incisions healed by first intention and no incision related complications occurred.2 groups of patients with ATRS score at 6 months after operation:the open group was 81.23±3.99,minimally invasive percutaneous group of 88.27±4.27,the difference between the two groups was statistically significantly.After 1 year,there was no significant difference in the scores between the two groups.Two groups of patients with AOFAS score at 6 months after operation:the open group was 69.00±6.23,minimally invasive percutaneous group of 79.27±4.83,the difference between the two groups was statistically significantly.At one year after operation,the open group was 85.53±3.38,and the minimally invasive group was more than 89.90±3.38.The difference between the two groups was statistically significantly.After 2 years,there was no significant difference in the scores between the two groups.Conclusion There is no significant difference between the 2 years after surgery in the treatment of acute closed Achilles tendon rupture or open surger.

Currently clinical scoring systems are the most popular functional measurements for orthopedic patients.However,unfortunately,the scoring systems so far for the elbow are not capable enough of fully assessing the joint motion capacities,symptoms and quality of life for the patients with elbow dysfunction.In this paper,we review the elbow scoring systems most commonly used for the patients with elbow dysfunction,analyze their insufficiency in evaluation of elbow dysfunction,and discuss how to develop a new scoring system specially for elbow dysfunction.

Objective:To establish and verify a simple clinical prediction model for obstructive sleep apnea syndrome(OSAS)in children.Methods:The clinical data of 95 children aged 2-12 years underwent polysomnography(PSG)were screened.The subjects with OAHI≤1 were included into non-OSAS group(n=22)and those with OAHI＞1 into OSAS group(n=73).Gender,age,body mass index(BMI),night pulse minimum oxygen saturation(SpO2),tonsil grading and adenoid grading of the 2 groups were compared and analyzed.Binary Logistic regression analysis was used to statistically analyze the data and establish a clinical prediction model for OSAS in children.Results:There was significant difference in age,BMI,SpO2,tonsil grading and adenoid grading between the 2 groups(P＜0.05),there was no significant gender difference(P＞0.05).The model equation was as follows:X=2.366-0.769(age-continuous variable)+0.248(BMI-continuous variable)-3.413(SPO2-continuous variable)+2.104(tonsil grade Ⅲ-Ⅳ"yes").The result of internally validated Hosmer-Lemeshow test was P=0.612(P＞0.05),AUC was 0.821(0.713-0.929,P＜0.01),sensi-tivity was 83.3％,specificity was 76.4％.The accuracy of external validation was 73.8％,the AUC was 0.805(0.664-0.943,P＜0.01),the sensitivity was 84.6％and the specificity was 75％.Conclusion:The predictive model may have good predictive efficacy for 2-12 years old children with OSAS,and may assist clinicians in diagnosing children with OSAS.

The elbow is more susceptible to motion loss than other joints after trauma,and elbow stiffness leads to functional impairment in the upper limb and interferes with daily activities.Open arthrolysis is the most common and classical treatment for post-traumatic elbow stiffness.In this paper,we review the treatment protocols like preoperative clinical evaluation,arthrolysis strategies and postoperative rehabilitation program for post-traumatic elbow stiffness,discuss relevant issues and assess their prospects.

Objective:To explore artificial intelligence technology and propose an algorithm for automatic identification of dicentric chromosomes to realize fast and high-throughput biodosimetry. In order to solve the time-consuming and laborious problem of manual analysis of dicentric chromosomes.Methods:Combining artificial intelligence technology and image processing technology, based on MATLAB software, algorithms like image preprocessing, threshold segmentation algorithm, binarization processing, area identification algorithm, convolutional neural network algorithm and double centripetal recognition algorithm were applied. A fuzzy membership function was defined to describe the degree of each chromosome belonging to a dicentric chromosome, and the discrimination threshold was set to realize the automatic identification of dicentric chromosomes.Results:Through the test on 1 471 chromosome images, compared with manual recognition, the detection rate of dicentric chromosomes cells of this algorithm reached 70.7%.Conclusions:This algorithm method carries out a preliminary study on the automatic identification of dicentric chromosomes with good result.

Hepatitis B virus (HBV) infection is a global health problem. Animal models are important for the study of the HBV infection mechanism. In the study related to the mouse model of HBV infection, the researchers have established a variety of mouse models, including transgenic, plasmid hydrodynamic injection, virus vector transfection, cccDNA cycle simulation, human and mouse liver chimerism, and liver/immune dual humanization, according to the characteristics of HBV infection. Herein, the research progress of these models is summarized. Notably, the application of these models can further clarify the mechanism of HBV infection under the conditions of a specific immune response in vivo and lay the foundation for the development of new antiviral drugs and immunotherapy for HBV infection.

Objective:To investigate the application value of biological muscle flap in laparo-scopic radical proximal gastrectomy with esophagogastric anastomosis.Methods:The retrospec-tive and descriptive study was conducted. The clinicopathological data of 10 patients with adeno-carcinoma of esophagogastric junction who were admitted to The First Affiliated Hospital of Xi′an Jiaotong University from May 2023 to August 2023 were collected. All patients were males, aged (65±5)years. All patients underwent laparoscopic radical proximal gastrectomy and esophagogastric anastomosis with digestive tract reconstruction using the esophagogastric biological muscle flap. Observation indicators: (1) surgical situations and early complications; (2) follow-up and late com-plications. Measurement data with normal distribution were represented as Mean± SD, and measure-ment data with skewed distribution were represented as M(range). Count data were described as absolute numbers. Results:(1) Surgical situations and early complications. All 10 patients success-fully completed the surgery without conversion to open surgery, and the operation time was (166±18)minutes. Cases with digestive tract reconstruction as end-to-side anastomosis and Overlap anas-tomosis were 1 and 9, respectively. The time of digestive tract reconstruction, the number of lymph node dissected, volume of intraoperative blood loss, time to postoperative first anal exhaust, time to postoperative first intake of liquid food, duration of postoperative hospital stay were (40±12)minutes, 24±6, (41±9)mL, (3.4±0.5)days, (4.1±1.0)days, (8.3±0.7)days in the 10 patients. Of 4 cases with postoperative early complications, 1 case developed pulmonary infection (Clavien-Dindo grade Ⅱ) on the second day after surgery, with pulmonary infection absorbed after 5 days of antibiotic treat-ment. Two cases experienced chest distress and shortness of breath on the third day after surgery, with the diagnosis of a small to moderate amount of pleural effusion after chest B-ultrasound examination. After pleural puncture and active treatment, the symptoms of them were improved and the pleural effusion disappeared. There was 1 case with choking sensation when eating solid food, which was started from the third week after surgery. Upper gastrointestinal imaging revealed mild anastomotic stenosis of Clavien-Dindo grade Ⅰ in the patient, who was improved after conservative treatment. On the 7th day after surgery, all 10 patients underwent upper gastrointestinal angiography, and no anastomotic leakage or stenosis occurred. There was no sign of contrast agent reflux in the supine position and 30° head down position. (2) Follow-up and late complications. All 10 patients were followed up for 59.5(range, 31.0-127.0)days. The esophageal reflux scale score of 10 patients was 1.4±0.3. During the follow-up, 1 case underwent gastroscopy on 40 days after surgery, which showed reflux esophagitis with Los Angeles grade as B and the Clavien-Dindo grade as Ⅰ. There was no clinical symptom such as heartburn or acid reflux. Results of 24-hour pH monitoring showed that the patient experienced 24 instances of reflux in an upright position and 15 instances of reflux in a supine position, with no prolonged reflux. The total reflux time within 24 hours was 75 minutes. The DeMeester score was 38.3. Results of esophageal pressure measurement showed that the esophageal contraction morphology was normal, but the anastomotic opening was not well relaxed. The rest of 9 cases had no complication such as reflux esophagitis.Conclusion:Biological muscle flap applied in the laparoscopic radical proximal gastrectomy with esophagogastric anastomosis is safe and feasible, with satisfied short-term efficacy.

Objective:To explore the feasibility of quantitative evaluation of extracellular volume (ECV) fraction in acute ST-segment elevation myocardial infarction (STEMI) by dual-layer spectral detector CT.Methods:The clinical and imaging data of 20 patients with STEMI who underwent cardiac contrast-enhanced CT and MRI from January to October 2019 in Renji Hospital affiliated to Shanghai Jiaotong University School of Medicine were retrospectively analyzed.The dual spectral detector was used in the enhanced CT scan of the coronary artery with retrospectively gate and the late iodine enhancement with prospective gate. Conventional image and holographic spectral image were obtained by iterative and spectral reconstruction. The short axis image of the heart matched with MR image was obtained by multiplanar reconstruction. Based on the data of spectral based image, the IDD map was reconstructed for the calculation of myocardial CT-ECV during the late iodine enhancement. ECV of infarcted myocardium, salvageable myocardium and remote myocardium based on CT and MRI were calculated respectively. Bland-Altman consistency test and intra group correlation coefficient analysis (ICC) were used to compare the consistency of two measurements and different methods. The correlation between CT-ECV and MRI-ECV was compared by Spearman method.Results:The CT-ECV values of infarcted, salvageable, and remote myocardium were 51.21 (49.27, 53)%, 38.64 (36.17, 40)%, and 51.21 (49.27, 53)%, respectively. The difference was statistically significant ( H= 43.17, P<0.01). The CT-ECV value of infarcted myocardium was significantly higher than that of salvageable myocardium and remote myocardium ( Z=-24.60, 35.40, P<0.01), but there was no significant difference between salvageable myocardium and remote myocardium ( Z= 10.80, P=0.15). The T 1 values of infarcted myocardium, salvageable myocardium and remote myocardium were (1 554.85±70.94), (1 443.85±67.28) and (1 307.05±91.73) ms respectively, the difference was statistically significant ( F=51.35, P<0.01). The T 1 value of infarcted myocardium was higher than that of salvageable myocardium and remote myocardium ( t=-5.07, 9.55, P<0.01), and salvageable myocardium was significantly higher than that of remote myocardium ( t=5.38, P<0.01). The MRI-ECV values of infarcted myocardium, salvageable myocardium and remote myocardium were 55.00 (49.27, 57.75)%, 33.50 (29.00, 35.00)%,and 27.00 (26.00, 29.00)%, respectively. The difference was statistically significant ( Z= 47.12, P<0.01). MRI-ECV of infarcted myocardium was significantly higher than that of salvageable myocardium and remote myocardium ( Z=37.45, -20.30, P< 0.01), and salvageable myocardium was significantly higher than that of remote myocardium ( Z = 17.15, P<0.05). The difference between CT-ECV and MRI-ECV measured by two physicians was good. The bias of Bland-Altman analysis was -0.1% (95% CI:-5.5%-5.2%), 0.8% (95% CI:-9.8%-8.2%), and the ICC values were 0.92 and 0.94, respectively. The bias of Bland-Altman analysis in CT-ECV and MRI-ECV consistency test was 4.00% (95% CI:-9.0%-16.9%) and ICC value was 0.88, which had a good correlation ( r=0.75, P=0.001). Conclusions:The iodine density based ECV fromdual-layer spectral detector CT can be used to quantitatively evaluate the changes of extracellular space after acute STEMI, which is helpful to quantitatively evaluate the histological changes after myocardial ischemia.

Objective:To explore the predictive value of ultrasound-based radiomics for liver metastasis in pancreatic neuroendocrine tumors (pNEN).Methods:A retrospective analysis was conducted on clinical, pathological, and ultrasound data of 269 pNEN patients confirmed by pathology at Tianjin Medical University Cancer Institute and Hospital from January 2012 to June 2022, including 94 patients with liver metastasis and 175 without liver metastasis. The regions of interest (ROI) were delineated on the maximum diameter section of the tumor using ITKSNAP software, and radiomics features were extracted using Pyradiomics. Radiomics features with an intra-group correlation coefficient greater than 0.90 were retained, and the optimal features were selected using the maximum relevance minimum redundancy (MRMR) algorithm. The dataset was randomly divided into a training set and a validation set in a ratio of 7∶3, and the random forest algorithm (Rfs) was used to predict pNEN liver metastasis. Three models were constructed, including the clinical ultrasound model, the radiomics model, and the comprehensive model that combined clinical ultrasound and radiomics features. The predictive performance of different models for pNEN liver metastasis was analyzed using the ROC curve, and the predictive performance of different models was compared using the Delong test.Results:A total of 874 features were extracted from the ROI, and 12 highly robust radiomics features were retained for model construction based on inter- and intra-observer correlation grading and feature selection. The area under curve(AUC), sensitivity, specificity, and accuracy of the radiomics model, the clinical ultrasound model, and the comprehensive model for predicting liver metastasis in pNEN patients were 0.800, 0.574, 0.789, 0.714; 0.780, 0.596, 0.874, 0.777; and 0.890, 0.694, 0.874, 0.810, respectively. The Delong test showed that the comprehensive model had the best predictive performance, with an AUC superior to that of radiomics model ( Z=3.845, P=0.000 12) and clinical ultrasound model ( Z=3.506, P=0.000 45). Conclusions:The radiomics model based on ultrasound has good performance in predicting liver metastasis in pNEN, and the comprehensive model that combines clinical ultrasound and radiomics features can further improve the predictive performance of the model.

Objective To propose a computer recognition algorithm for solid nuclear track images based on the machine learning method, and to realize the automatic, fast and accurate recognition of nuclear tracks and improve the efficiency of solid track image analysis. Methods Firstly, 143 images containing tracks were scanned by morphological method to determine the location of suspected tracks, and 1250 material images were captured. 50% of the material were selected as the training set and 30% as the validation set for training the machine learning model. Another 20% of the material were selected as the test set for testing the model recognition result. The algorithm code was written and trained based on the MATLAB software. Results The established solid track recognition algorithm had a strong recognition capability, and the recognition accuracy of the test set could reach 84.8%. The machine learning model program constructed by the algorithm could evolve continuously with the input of training data, further improving the accuracy. Conclusion Based on image morphology and machine learning, the track recognition algorithm was investigated, by which the automatic recognition of solid tracks was better realized. In the future, we will increase the data input of the model, optimize the algorithm, and improve the recognition accuracy, in order to provide a more accurate and efficient method for automatic image track recognition.