Objective To analyze the National Natural Science Foundation-supported papers on oncology published by domestic authors from 2013 to 2015 and existed problems. Methods The key words in the National Natural Sci-ence Foundation-supported papers on oncology published by domestic authors from 2013 to 2015 and SCI-covered journals and Chinese institutions that published the National Natural Science Foundation-supported papers on on-cology from 2013 to 2015 were analyzed by bibliometrics. Results The number of the National Natural Science Foundation-supported scientific projects and funds, the number of the National Natural Science Foundation-sup-ported papers on oncology published by domestic authors, and the academic level of SCI-covered journals that pub-lished the National Natural Science Foundation-supported papers on oncology from Chinese authors increased year by year from 2013 to 2015 . General and medical colleges and universities with affiliated hospitals or national key laboratories were the leading force in oncology. The hot spots in oncology were focused on basic research and malig-nant tumors. Conclusion The National Natural Science Foundation plays an active role in promoting the develop-ment of oncology in China. Although it-supported papers on oncology published by domestic authors increase year by year, problems are still existed, such as imbalance of institutions that publish papers on oncology and insuffi-cient influencing power of papers published by domestic authors.

Objective To investigate the changes of the peripheral blood platelet counting and function the mouse model of idiopathic thrombocytopenic purpura (ITP) and to observe the effect of Zidian Granule (ZG). Methods The peripheral platelet counting was conducted with the automatic hemocyte analyzer; CD41 andCD61 level was measured with flow cytometry. Results The amount of the peripheral blood platelet in ITP model mouse was decreased after injection of antiplatelet serum (APS) and CD41 and CD61 were also decreased.(P

Objective:To study the clinical efficacy of 3D total hip arthroplasty in elderly patients with acetabular fracture.Methods:A total of 43 patients with non-obsolete acetabular fractures admitted to Xining First People's Hospital from May 2016 to December 2018 were randomly divided into the control group (22 cases) and the observation group (21 cases) for a perspective study. The control group received routine surgery and the observation group was treated with total hip arthroplasty combined with 3D printing. The patient's operation time, intraoperative blood loss, and hospitalization time were recorded. The hip function was assessed by Harris Hip Scale (HHS) after 6 months of follow-up. The patient's quality of life was assessed using the short form 36 item health survey questionnaire (SF-36) before and 6 months after surgery. The complications of the patients during operation and follow-up were recorded.Results:The operation time, hospital stay and intraoperative blood loss were significantly lower in the observation group than those in the control group ( P<0.05). At 6 months after operation, the hip joint function of the observation group was significantly better than that of the control group ( P<0.05); the quality of life scores were significantly higher than the control group ( P<0.05). There was no significant difference in the incidence of adverse reactions between the two groups ( P<0.05). Conclusions:3D printed total hip arthroplasty can effectively improve the operation and hip function of elderly patients with non-obsolete acetabular fracture and the quality of life of patients without increasing adverse reactions.

This study was aimed to observe the clinical efficacy of Highly Active Antiretroviral Therapy (HAART) combined withPing-Ai(PA) Mixture in the treatment of Human Immunodeficiency Virus / Acquired Immunodeficiency Syndrome (HIV/AIDS) patients with non-infectious skin lesions, in order to study the advantages of integrative medicine in AIDS prevention and treatment. A total of 9 cases, who met the inclusion criteria of AIDS-associated non-infectious skin lesion with the pattern ofqi-yin deficiency and internal obstruction of phlegm-stasis, were selected. The combination of HAART and number 1 and 4 prescription of PA Mixture were used in the treatment for 3 months. The observations were made on changes of clinical symptoms, body signs, Karovsky integral and CD4+ T cells of patients before and after treatment. Stata 12.0 was used in the statistical analysis. The results showed that after integrative therapy, the single integral of clinical symptoms and body signs, such as skin spot papula, subcutaneous nodules, skin itching, fatigue was obviously reduced compared to that of the pretreatment. The total score decreased than that of the pretreatment. The patients’ quality of life (QOL) significantly increased. The Karovsky integral increased compared with that of pretreatment. The CD4+ T cells values were higher than that of the pretreatment. It was concluded that the integrative therapy had a certain effect in the treatment of AIDS-associated non-infectious skin lesions, which can improve the clinical symptoms, body signs, obviously increase the patients’ QOL and immune function.

Objective To compare the clinical values of impedance method,optical method and microscopy when used to detect platelet abnormal results.Methods Platelet re-examinations by optical method and microscopy were carried out in case of low confidence degree in platelet test with impedance method by XE-2100 automatic hematology analyzer,and then the results by the three methods were compared.Results Most of the low-confidence-degree results by impedance method could be corrected by re-examination by optical method,and the remained had to turn to microscopy due to unsatisfied requirements of the instrument.Conclusion Optical method has to be involved to correct the platelet abnormal results by XE2100 automatic hematology analyzer,and microscopy should be applied in case optical method doesn't work.The three methods gains advantages and disadvantages of themselves,and can be supplementaries for one another.

After more than thirty years of development, laparoscopic surgery technology has become the main platform for surgery and has been widely applied in various fields of surgery. The safety, feasibility and efficacy of laparoscopic technique have already been confirmed in colorectal surgery. In recent years, with a deeper understanding of concepts such as laparoscopic fascial anatomy, laparoscopic colorectal surgery has made new explorations and advances in surgical approach selection, NOSES, lymph node dissection range, preservation of Denonvillier's fascia, functional protection, lateral lymph node dissection, selection of anal preservation techniques for ultra-low rectal cancer, and totally laparoscopic digestive tract reconstruction. In the field of laparoscopic gastric surgery, evidence-based medical evidence in China has entered a harvest period, moreover, functional preservation surgery, esophageal gastric junction adenocarcinoma, and total laparoscopic anastomosis have also become hot topics in this field with new progress. The medical equipment related to minimally invasive surgery has also been developping in recent years and has played an important role in improving minimally invasive surgery.

Objective:To investigate the clinical value of magnetic resonance imaging (MRI) based integrated deep learning model for predicting the times of linear staplers used in double stapling technique for middle-low rectal cancer resection.Methods:The retrospective cohort study was conducted. The clinicopathological data of 263 patients who underwent low anterior resection (LAR) for middle-low rectal cancer in Ruijin Hospital of Shanghai Jiaotong University School of Medicine from January 2018 to December 2022 were collected as training dataset. There were 183 males and 80 females, aged 63(55,68)years. The clinicopathological data of 128 patients with middle-low rectal cancer were collected as validation dataset, including 83 males and 45 females, with age as 65(57,70)years. The training dataset was used to construct the prediction model, and the validation dataset was used to validate the prediction model. Observation indicators: (1) clinicopathological features of patients in the training dataset; (2) influencing factors for ≥3 times using of linear staplers in the operation; (3) prediction model construction; (4) efficiency evaluation of prediction model; (5) validation of prediction model. Measurement data with skewed distribution were represented as M( Q1, Q3), and Mann-Whitney U test was used for comparison between groups. Count data were expressed as absolute numbers, and comparison between groups was conducted using the chi-square test. Wilcoxon rank sum test was used for non-parametric data analysis. Univariate analysis was conducted using the Logistic regression model, and multivariate analysis was conducted using the Logistic stepwise regression model. The receiver operating characteristic (ROC) curve was draw and the area under the curve (AUC) was calculated. The AUC of the ROC curve >0.75 indicated the prediction model as acceptable. Comparison of AUC was conducted using the Delong test. Results:(1) Clinicopathological features of patients in the training dataset. Of the 263 patients, there were 48 cases with linear staplers used in the operation ≥3 times and 215 cases with linear staplers used in the operation ≤2 times. Cases with preoperative serum carcinoembryonic antigen (CEA) >5 μg/L, cases with anastomotic leakage, cases with tumor diameter ≥5 cm were 20, 12, 13 in the 48 cases with linear staplers used ≥3 times in the operation, versus 56, 26, 21 in the 215 cases with linear staplers used ≤2 times in the operation, showing significant differences in the above indicators between them ( χ2=4.66, 5.29, 10.45, P<0.05). (2) Influencing factors for ≥3 times using of linear staplers in the operation. Results of multivariate analysis showed that preoperative serum CEA >5 μg/L and tumor diameter ≥5 cm were independent risk factors for ≥3 times using of linear staplers in the operation ( odds ratio=2.26, 3.39, 95% confidence interval as 1.15-4.43, 1.50-7.65, P<0.05). (3) Prediction model construction. According to the results of multivariate analysis, the clinical prediction model was established as Logit(P)=-2.018+0.814×preoperative serum CEA (>5 μg/L as 1, ≤5 μg/L as 0)+ 1.222×tumor diameter (≥5 cm as 1, <5 cm as 0). The image data segmented by the Mask region convolutional neural network (MASK R-CNN) was input into the three-dimensional convolutional neural network (C3D), and the image prediction model was constructed by training. The image data segmented by the MASK R-CNN and the clinical independent risk factors were input into the C3D, and the integrated prediction model was constructed by training. (4) Efficiency evaluation of prediction model. The sensitivity, specificity and accuracy of the clinical prediction model was 70.0%, 81.0% and 79.4%, respectively, with the Yoden index as 0.51. The sensitivity, specificity and accuracy of the image prediction model was 50.0%, 98.3% and 91.2%, respectively, with the Yoden index as 0.48. The sensitivity, specificity and accuracy of the integrated prediction model was 70.0%, 98.3% and 94.1%, respectively, with the Yoden index as 0.68. The AUC of clinical prediction model, image prediction model and integrated prediction model was 0.72(95% confidence interval as 0.61-0.83), 0.81(95% confidence interval as 0.71-0.91) and 0.88(95% confidence interval as 0.81-0.95), respectively. There were significant differences in the efficacy between the integrated prediction model and the image prediction model or the clinical prediction model ( Z=2.98, 2.48, P<0.05). (5) Validation of prediction model. The three prediction models were externally validated by validation dataset. The sensitivity, specificity and accuracy of the clinical prediction model was 62.5%, 66.1% and 65.6%, respectively, with the Yoden index as 0.29. The sensitivity, specificity and accuracy of the image prediction model was 58.8%, 95.5% and 92.1%, respectively, with the Yoden index as 0.64. The sensitivity, specificity and accuracy of the integrated prediction model was 68.8%, 97.3% and 93.8%, respectively, with the Yoden index as 0.66. The AUC of clinical prediction model, image prediction model and integrated prediction model was 0.65(95% confidence interval as 0.55-0.75), 0.75(95% confidence interval as 0.66-0.84) and 0.84(95% confidence interval as 0.74-0.93), respec-tively. There was significant differences in the efficacy between the clinical prediction model and the integrated prediction model ( Z=3.24, P<0.05). Conclusion:The MRI-based deep-learning model can help predicting the high-risk population with ≥3 times using of linear staplers in resection of middle-low rectal cancer with double stapling technique.

After nearly 40 years of development, minimally invasive techniques have been widely applied in curative surgeries for various types of tumors. The safety and efficacy of minimally invasive surgery has being fully validated. With the continuous iteration and updating of medical equipments, the convenience and precision of surgeries have been significantly enhanced, marking the advancement of minimally invasive surgery into a phase of high-level platform. With the rapid development of information technology, we have gradually entered the era of intelligent medicine, where the integration of technologies such as artificial intelligence will inject new vitality into the development of minimally invasive surgery. Combined with the latest research trends, the authors provide an in-depth analysis of how artificial intelligence plays a unique role in key aspects of minimally invasive surgery, including preoperative assessment and planning, intraoperative moni-toring and alerting, and comprehensive postoperative management. Additionally, the authors discuss how to utilize these innovative technologies to further promote reforms in medical education and prospects for the development of telemedicine service. In the era of intelligent medicine, the develop-ment of minimally invasive surgery should adhere to the principle of "bold innovation, cautious practice", guided by the concept of "patient-centeredness". By promoting interdisciplinary collabora-tion between medicine and engineering, accelerating the translation of scientific and technological achievements into clinical practice, we can ensure that minimally invasive surgical techniques better serve the health and well-being of the people.