With rapid development of information technology,blended teaching model has gradually become mainstream teaching model in most colleges and universities.How to evaluate students'learning effect and analyze factors that affect students'per-formance is a key research direction of this teaching model.Taking blended teaching of Medical Immunology course in Xinxiang Medical University as an example,this paper introduces implementation process and evaluation system of blended teaching,analyzes main factors affecting students'performance and learning effect,and focuses on discussing influence of formative evaluation and"flipped classroom"on students'academic performance.

Objective:To evaluate the effectiveness of the artificial intelligence-assisted diagnosis and treatment system in distinguishing benign and malignant lung nodules.Methods:Clinical data of 1 650 patients with pulmonary nodules admitted to the Tianjin Chest Hospital Affiliated to Tianjin University from January 2015 to October 2022 were retrospectively analyzed, which included a total of 1 650 nodules. The malignant probability was compared to and analyzedpredict the benign and malignant nodules.Results:A total of 1 650 nodules were included, which were divided into a malignant tumor group(n=1 391, 84.3%) and a benign lesion group(n=259, 15.7%). Between the malignant tumor group and the benign lesion group, the malignant probability was significantly different, and the malignant probability could better distinguish malignant nodules and benign lesions[(78.85±22.91)% vs.(54.91±28.68)%, P<0.001]. The area under the curve( AUC) was 0.768. The critical value of malignant probability for diagnosis of lung cancer was 81.3% with a sensitivity of 0.620 and specificity of 0.815. Stratified analysis results showed that the accuracy of the AI intelligent system for diagnosing pulmonary nodules with the sizes of 0-1 cm, 1-2 cm and 2-3 cm was also increased, and the areas under ROC curve were 0.717, 0.769 and 0.804, respectively. Conclusion:The malignant probability of lung nodules calculated by the artificial intelligence-assisted diagnosis and treatment system can be used in the assessment of the preoperative benign and malignant lung nodules.

Objective    To investigate the clinical value of artificial intelligence (AI)-assisted chest computed tomography (CT) in the diagnosis of peripheral lung shadow. Methods    The CT image data of 810 patients with peripheral pulmonary shadow treated by thoracic surgery in Tianjin Chest Hospital Affiliated to Tianjin University from January 2018 to July 2019 were retrospectively analyzed using AI-assisted chest CT imaging diagnosis system. There were 339 males and 471 females with a median age of 63 years. The malignant probability of preoperative AI-assisted diagnosis of peripheral pulmonary shadow was compared with the results of postoperative pathology. Results    The pathological diagnosis of 810 patients with peripheral pulmonary shadow was lung cancer in 627 (77.4%) patients, precancerous lesion in 30 (3.7%) patients and benign lesion in 153 (18.9%) patients. The median probability of malignant AI diagnosis before operation was 86.0% (lung cancer), 90.0% (precancerous lesion) and 37.0% (benign lesion), respectively. According to the analysis of receiver operating characteristic (ROC) curve of AI malignant probability distribution in this group of patients, the area under the ROC curve was 0.882. The critical value of malignant probability for diagnosis of lung cancer was 75.0%with a sensitivity of 0.856 and specificity of 0.814. A total of 571 patients were diagnosed with AI malignancy probability≥ 75.0%, among whom 537 patients were pathologically diagnosed as lung cancer with a positive predictive value of 94.0%(537/571). Conclusion    The AI-assisted chest CT diagnosis system has a high accuracy in the diagnosis of peripheral lung cancer with malignant probability≥75.0% as the diagnostic threshold.

Objective:To explore the clinical efficacy of double opposing rhomboid flap in repairing facial skin defects.Methods:From January 2020 to December 2020, 30 cases of facial skin lesions were removed in the Department of Plastic and Aesthetic Surgery, the Affiliated Hospital of Qingdao University, including 12 males and 18 females, aged 14-65 years, with an average age of 34.2 years. The diameter of the facial skin defect wound was 0.5-2.0 cm. The patients with facial skin defect were repaired with double opposing rhomboid flap. All patients were followed up for 3-12 months.Results:The incisions of 30 patients were healed in one stage, and double opposing rhomboid flaps survived. Following-up for 3 to 12 months showed that the operation area was flat, the incision scar was not obvious, the texture and color of the operation area and the surrounding skin matched well, the surrounding organs were not deformed, the lesions were not recurrent, and the cosmetic effect was satisfactory.Conclusions:The double opposing rhomboid flap is an effective method to repair quasi-circular facial skin defects, which is worthy of clinical application.

Objective:To analyze the epidemiological characteristics and transmission chain of an epidemic of COVID-19 in Haidian district, Beijing.Methods:Descriptive epidemiological method was used to analyze the epidemiological characteristics of the epidemic, and field investigation and big data technology were used to analyze the transmission chain of the epidemic.Results:From April 27 to May 13, 2022, an epidemic of COVID-19 occurred in Haidian district. The strains isolated from the cases were identified by whole genome sequencing as Omicron variant (BA.2.2 evolutionary branch). A total of 38 infection cases were detected, including 34 confirmed cases and 4 asymptomatic cases. Most cases were mild ones (88.2%), no severe, critical or death cases occurred. The early clinical symptoms were mainly sore throat (50.0%) and cough (29.4%). The epidemic lasted for 17 days, resulting in 7 generations of the cases and involving 3 community transmissions, 2 working place transmissions and 8 family transmissions; the main infection routes were co-residence (47.6%) and co-space exposure (31.6%). The intergenerational interval M( Q1, Q3)was 3 (1, 6) days. The overall secondary attack rate was 1.5% (37/2 482), and the family secondary attack rate was 36.7% (18/49). Conclusions:The cases in this COVID-19 epidemic caused by Omicron variant had mild clinical symptoms, but the case clustering in families and communities was obvious, the transmission was rapid, and the risk for co-space exposure was high. It is necessary to use information technology to identify close contacts in the local population for the rapid and effective blocking of the epidemic spread.

COVID-19 ; China/epidemiology* ; Disease Outbreaks ; Humans ; SARS-CoV-2

Beijing ; COVID-19 ; Contact Tracing ; Humans ; Risk Factors ; SARS-CoV-2

Objective:To explore the expression and clinical significance of miR-143 in papillary thyroid cancer (PTC) .Methods:Tumor samples and adjacent tissues from 52 patients with PTC were obtained from Jan. 1st, 2018 to Mar. 31st, 2018 in Thyroid Surgery Department of the Affiliated Yantai Yuhuangding Hospital of Qingdao University. Quantitative reverse-transcriptase PCR (RT-qPCR) was used to measure the expression of miR-143 in those subjects. In addition, the relationship between the expression levels of miR-143 and the clinicopathological characteristics was analyzed.Results:RT-qPCR indicated that the expression of miR-143 was down-regulated in PTC, which was significantly lower than that in adjacent tissues ( t=-21.39, 95% CI: 18.20-15.07, P<0.001) . Low expression of miR-143 was related to the number of lymph node metastasis ≥3 in central compartment ( t=10.13, P=0.012) and lateral neck lymph node metastasis ( t=-4.67, P<0.001) . Conclusion:Downregulation of miR-143 in PTC is linked to the metastasis of PTC and may be a potential target for therapeutic intervention.

Common bile duct adenomyomatosis is a benign disease, and its etiologies and pathogenesis are still unclear. Common bile duct adenomyomatosis, mostly found in postoperative pathology, has been kept at a low level at preoperative diagnosis. The optimum treatment of common bile duct adenomyomatosis should be determined according the imaging examination, pancreaticoduodenectomy as the only treatment should be avoided, a traumatic surgical procedure. This article reviews the etiology, pathogenesis, diagnosis and treatment of the disease.

Objective:To explore the clinical significance of recurrent laryngeal nerve inlet zone(RLNIZ) lymph node metastasis in papillary thyroid cancer(PTC).Methods:The clinical data of the clinicopathologic characteristics of 738 cases with papillary thyroid cancer at our centers from Jul 2017 to Jun 2018 was retrospectively reviewed. 108 cases with RLNIZ lymph node dissection for pathological examination were included. The relationship between metastasis of RLNIZ lymph node and clinicopathologic characteristics was analyzed.Results:RLNIZ lymph node was detected in 12.3%(91/738)cases, the mean lymph node number in RLNIZ was 1.5±0.7, and 30.8%(28/91) cases suffered RLNIZ lymph node metastasis. RLNIZ lymph node metastasis(LNM) is associated with tumor size( P=0.028), capsular invasion( P=0.019), No. of central compartment LNM( P<0.001) and lateral neck LNM( P<0.001). No. of central compartment LNM was found to be the independent risk factor of RLNIZ lymph node metastasis. The incidence of dysphagia and inferior parathyroid damage was 0.9%(1/108)respectively. Conclusions:RLNIZ lymph node metastasis is common among PTC patients , therefore, RLNIZ lymph node should be routinely removed especially in patients with tumor size over 1cm、suspected capsular invasion and lateral neck lymph node metastasis confirmed by preoperative imaging examination.