Objective:To explore the diagnostic value of intratumoral area(ITA)and peritumoral area(PTA)ultrasound image-based bioin-formatics models for small breast cancer.Methods:We retrospectively analyzed data of 305 breast lesions from 292 patients with small breast nodules(diameter≤2 cm)who were treated at People's Hospital of Xinjiang Uygur Autonomous Region between January 2021 and January 2025.The lesions were randomly assigned into the training(214 lesions)and validation sets(91 lesions)in a 7:3 ratio.Radiomics fea-tures were extracted from the intertumoral area(ITA)and peritumoral area(PTA)regions at 2,4,6,and 8 mm,followed by feature selection and dimensionality reduction.A Logistic regression(LR)algorithm was used to construct a model.The performance of the models were eval-uated via receiver operating characteristic(ROC)curve analysis,Hosmer-Lemeshow test,and decision curve analysis(DCA).Results:In the training set,the areas under the ROC curves(AUC)for the ITA,2 mm PTA,and 2 mm fusion models were 0.869,0.897,and 0.909,respect-ively.In the test set,these respective AUC values were 0.813,0.825,and 0.840.For breast lesions≤2 cm,<1 cm,and 1-2 cm,the overall ac-curacies of the 2 mm fusion model were 81.0%,82.7%,and 80.1%,respectively,whereas the respective overall accuracies of BI-RADS were 76.4%,81.7%,and 73.6%.Conclusions:ITA and PTA ultrasound imaging-based radiomics models had a high diagnostic value for small breast cancers.The fusion model can effectively improve predictive performance,outperforming the BI-RADS classification in diagnosing small breast lesions of different diameters.Thus,these models have the potential to serve as an auxiliary diagnostic tool in clinical practice.

Objective To establish a classification tree model for non-alcoholic fatty liver disease(NAFLD)among aircrews,screen for influencing factors of NAFLD,so as to provide scientific basis for prevention and intervention decisions for NAFLD.Methods Aircrews who underwent recuperation at a sanatorium from January 2019 to December 2023 were selected as the research objects.Their annual physical examination data were collected and the NAFLD detection rate was calculated.Age,body mass index(BMI),blood pressure,waist circumference,blood routine,biochemistry indexes,and thyroid function were incorporated,and a NAFLD risk model was constructed using classification regression tree method.The predictive performance of the NAFLD classification tree model was evaluated through model misclassification matrix,risk statistics,and receiver operating characteristic curve.Results A total of 4088 aircrews were included in the study,and NAFLD was detected in 380 persons(380/4088,9.30%).The NAFLD model consisted of three layers,and five explanatory variables affecting the onset of NAFLD were extracted,including BMI,triglycerides(TG),high-density lipoprotein cholesterol(HDL-C),alanine aminotransferase(ALT),and total bilirubin(TBIL).BMI was located at the top of the classification tree and was the most important risk factor for NAFLD in aircrews.The area under the curve(AUC)of the model was 0.853.The predictive accuracy of NAFLD was 90.9%,indicating that the model has good accuracy and fitting effect.Conclusion In this study,the detection rate of NAFLD in aircrews was 9.30%.BMI,TG,HDL-C,ALT,and TBIL are risk factors for the onset of NAFLD.NAFLD is mainly related to weight gain and lipid metabolism disorders caused by unhealthy lifestyles.

Objective:To explore the diagnostic value of intratumoral area(ITA)and peritumoral area(PTA)ultrasound image-based bioin-formatics models for small breast cancer.Methods:We retrospectively analyzed data of 305 breast lesions from 292 patients with small breast nodules(diameter≤2 cm)who were treated at People's Hospital of Xinjiang Uygur Autonomous Region between January 2021 and January 2025.The lesions were randomly assigned into the training(214 lesions)and validation sets(91 lesions)in a 7:3 ratio.Radiomics fea-tures were extracted from the intertumoral area(ITA)and peritumoral area(PTA)regions at 2,4,6,and 8 mm,followed by feature selection and dimensionality reduction.A Logistic regression(LR)algorithm was used to construct a model.The performance of the models were eval-uated via receiver operating characteristic(ROC)curve analysis,Hosmer-Lemeshow test,and decision curve analysis(DCA).Results:In the training set,the areas under the ROC curves(AUC)for the ITA,2 mm PTA,and 2 mm fusion models were 0.869,0.897,and 0.909,respect-ively.In the test set,these respective AUC values were 0.813,0.825,and 0.840.For breast lesions≤2 cm,<1 cm,and 1-2 cm,the overall ac-curacies of the 2 mm fusion model were 81.0%,82.7%,and 80.1%,respectively,whereas the respective overall accuracies of BI-RADS were 76.4%,81.7%,and 73.6%.Conclusions:ITA and PTA ultrasound imaging-based radiomics models had a high diagnostic value for small breast cancers.The fusion model can effectively improve predictive performance,outperforming the BI-RADS classification in diagnosing small breast lesions of different diameters.Thus,these models have the potential to serve as an auxiliary diagnostic tool in clinical practice.

Background::Exercise, as the cornerstone of pulmonary rehabilitation, is recommended to chronic obstructive pulmonary disease (COPD) patients. The underlying molecular basis and metabolic process were not fully elucidated.Methods::Sprague-Dawley rats were classified into five groups: non-COPD/rest ( n = 8), non-COPD/exercise ( n = 7), COPD/rest ( n = 7), COPD/medium exercise ( n = 10), and COPD/intensive exercise ( n = 10). COPD animals were exposed to cigarette smoke and lipopolysaccharide instillation for 90 days, while the non-COPD control animals were exposed to room air. Non-COPD/exercise and COPD/medium exercise animals were trained on a treadmill at a decline of 5° and a speed of 15 m/min while animals in the COPD/intensive exercise group were trained at a decline of 5° and a speed of 18 m/min. After eight weeks of exercise/rest, we used ultrasonography, immunohistochemistry, transmission electron microscopy, oxidative capacity of mitochondria, airflow-assisted desorption electrospray ionization-mass spectrometry imaging (AFADESI-MSI), and transcriptomics analyses to assess rectal femoris (RF). Results::At the end of 90 days, COPD rats’ weight gain was smaller than control by 59.48 ± 15.33 g ( P = 0.0005). The oxidative muscle fibers proportion was lower ( P < 0.0001). At the end of additional eight weeks of exercise/rest, compared to COPD/rest, COPD/medium exercise group showed advantages in weight gain, femoral artery peak flow velocity (Δ58.22 mm/s, 95% CI: 13.85-102.60 mm/s, P = 0.0104), RF diameters (Δ0.16 mm, 95% CI: 0.04-0.28 mm, P = 0.0093), myofibrils diameter (Δ0.06 μm, 95% CI: 0.02-0.10 μm, P = 0.006), oxidative muscle fiber percentage (Δ4.84%, 95% CI: 0.15-9.53%, P = 0.0434), mitochondria oxidative phosphorylate capacity ( P < 0.0001). Biomolecules spatial distribution in situ and bioinformatic analyses of transcriptomics suggested COPD-related alteration in metabolites and gene expression, which can be impacted by exercise. Conclusion::COPD rat model had multi-level structure and function impairment, which can be mitigated by exercise.

Objective:To analyze the risk factors of persistent atelectasis in patients undergoing radical resection of lung cancer and construct a predictive model for persistent atelectasis after lung cancer surgery.Methods:Using the convenient sampling method, a total of 332 patients undergoing video-assisted thoracic surgery (VATS) at Department of Thoracic Surgery in Shanghai Pulmonary Hospital affiliated to Tongji University were selected from July 2019 to June 2020. Patients were divided into non-persistent atelectasis group ( n=104) and persistent atelectasis group ( n=228). Logistic regression analysis was used to investigate the independent predictors of perioperative persistent atelectasis in patients undergoing radical lung cancer surgery, and a predictive model was established. Results:Body mass index, tumor TNM stage, pathological category, history of chronic obstructive pulmonary disease and preoperative neoadjuvant therapy (chemotherapy, immunotherapy, and targeted therapy) were independent predictors of persistent atelectasis after VATS ( P<0.05). Based on the above predictive factors, a predictive model of persistent atelectasis during the perioperative period was established. Logit ( P) = 2.015 + 0.836 × body mass index + 2.515 × history of chronic obstructive pulmonary disease-1.451 × pathological type-1.700 (stage Ⅰ) /1.146 (stage Ⅱ) × tumor TNM stage + 3.312 × neoadjuvant therapy history. Conclusions:The predictive model constructed in this study can provide a theoretical basis for screening high-risk patients with persistent atelectasis and provide a reference for clinical medical staff to take preventive treatment and nursing care for high-risk patients in time.

Objective:To explore the application and treatment efficacy of less invasive surfactant administration (LISA) and nasal high-frequency oscillation ventilation (nHFOV) in very low and extremely low birth weight preterm infants with neonatal respiratory distress syndrome (NRDS).Methods:A total of 85 very low and extremely low birth weight preterm infants with gestational age ranging between 27-32 weeks who were diagnosed with NRDS in the Second Affiliated Hospital of Zhengzhou University from July 2018 to October 2019 were enrolled.After being stratified by gestational age of >27-29 weeks, >29-30 weeks, >30-31 weeks, >31-32 weeks, the neonates were divided into the LISA group (40 cases) and the intubation-surfactant-extubation (INSURE) group (45 cases) by the random envelope method.The LISA group was subdivided into the continuous positive airway pressure (CPAP) group (25 cases) and the nHFOV group (15 cases) by the same method.The patients in the INSURE group were infused with pulmonary surfactant (PS) through the endotracheal tube under positive airway pressure, and then treated with CPAP after extubation.The patients in the LISA group were first treated with CPAP and injected with PS through the gastric tube.After removing the gastric tube, the patients in the CPAP group were given CPAP-assisted ventilation, while the patients in the nHFOV group were given nHFOV-assisted ventilation or mechanical ventilation if nHFOV-assisted ventilation failed.The feasibility of LISA technology and nHFOV was observed, and the adverse reactions, mechanical ventilation, oxygen duration, hospital stay and the incidence of NRDS complications in different groups of the patients were compared.Results:(1) The mechanical ventilation rate (5.0% vs.22.2%), the incidence of broncho-pulmonary dysplasia (BPD) (20.0% vs.42.2%) and the incidence of periventricular leukomalacia (PVL) (12.5% vs.42.2%) in the LISA group were significantly lower than those in the INSURE group (all P<0.05). There were no statistically significant differences in total oxygen duration, hospitalization duration, intraventricular he-morrhage (IVH), retinopathy of prematurity (ROP), and necrotizing enterocolitis (NEC) between the LISA group and the INSURE group (all P>0.05). (2) There was no significant difference in adverse reactions between the LISA group and the INSURE group as well as between the CPAP group and the nHFOV group (all P>0.05). (3) The younger the gestational age at birth, the higher the incidence of NRDS complications.Patients in the LISA group had a lower incidence of NPDS complications than patients of the same gestational age in the INSURE group, but the diffe-rence was not statistically significant (all P>0.05). (4) There was no significant difference in the mechanical ventilation rate and the incidence of BPD, IVH, PVL, NEC and ROP complications between the CPAP group and the nHFOV group (all P>0.05). Conclusions:In the treatment of very low and extremely low birth weight preterm infants with NRDS at the gestational age of 27-32 weeks, LISA technology is a safe and effective PS delivery method, which can reduce the mechanical ventilation rate and the incidence of BPD and PVL.The nHFOV can be used as an initial model for respiratory support of NRDS preterm infants with very low and ultra-low birth weight.LISA combined with nHFOV is applicable to the treatment of preterm infants with NRDS.

OBJECTIVE: To evaluate the effectiveness of the Frog appliance in three dimensions by using cone-beam computed tomography (CBCT) images. METHODS: Forty patients (21 boys and 19 girls), averaged 11.7 years old, with an Angle Class II division 1 malocclusion were included in our study. They had either late mixed dentition or early permanent dentition, and the maxillary second molars had not yet erupted. All patients underwent CBCT before and after the treatment for measuring changes in the maxillary first molars, second premolars, central incisors, and profile. Paired-samples t-test was used to compare the mean difference in each variable before treatment and after the first phase of treatment. RESULTS: The maxillary first molars were effectively distalized by 4.25 mm (p < 0.001) and 3.53 mm (p < 0.05) in the dental crown and root apex, respectively. The tipping increased by 2.25°, but the difference was not significant. Moreover the teeth moved buccally by 0.84 mm (p < 0.05) and 2.87 mm (p < 0.01) in the mesiobuccal and distobuccal cusps, respectively, whereas no significant changes occurred in the root apex. Regarding the anchorage parts, the angle of the maxillary central incisor's long axis to the sella-nasion plane increased by 2.76° (p < 0.05) and the distance from the upper lip to the esthetic plane decreased by 0.52 mm (p = 0.01). CONCLUSIONS The Frog appliance effectively distalized the maxillary molars with an acceptable degree of tipping, distobuccal rotation, and buccal crown torque, with only slight anchorage loss. Furthermore, CBCT image demonstrated that it is a simple and reliable method for three-dimensional analysis.

Basic Requirements of Teaching Basic Courses of Computer in Universities proposed pro-moting reforms to universities' computer basic education, whose core was to cultivate the students' computational thinking ability, infiltrating the essential thinking method of computational science in content and design of the course. Tianjin Medical University distinguished different levels of students according to a proficiency test, implemented graded teaching, introduced MATLAB in the course of program design, and performed modular teaching according to the students' specialties. All courses implemented small class teaching to strengthen the students' ability to apply computational thinking and computer technology to medical practice and introduced network-based test, in order to provide ideas for the teaching reform of computer basic courses in medical col-leges and universities.

Objective To investigate the characteristics of breast neoplasms on contrast-enhanced ultrasonography(CEUS) and its clinical value.Methods Two hundred and twenty-five patients with breast masses unable to be diagnosed by conventional ultrasonography were examined with CEUS.The characteristics of these masses on CEUS were analyzed and compared with the results of pathology examination.Results The typical features of breast cancers on CEUS were enlarged maximum diameter of the lesions on CEUS compared to pre-contrast ( P ＜0.05),irregular shapes,heterogeneous distribution of contrast enhancement with perfusion defect or local retention of contrast signals,tortuous,massive or penetrating vessels rapidly entering and exporting from the lesions.The sensitivity and specificity of perfusion defect for breast cancer on CEUS were 89.0％ and 91.8％,respectively; the sensitivity and specificity of local retention of contrast signals for breast cancer on CEUS were 93.4％ and 92.5％,respectively.Conclusions It is valuable for CEUS in the diagnosis and differential diagnosis of breast neoplasms clinically.

AIM: To observe the influence of lentiviral vectors expressing siRNA for survivin gene knockdown in A549 cells,sequentially as tools to explore the molecule pathogenesis and new gene therapy of lung adenocarcinoma.METHODS: The lentiviral vectors,which express survivin siRNA,were constructed and transfected into A549 cell strain.The titers of the lentiviruses were determined by 293T cells.The expressions of survivin and caspase-3 were detected by Western blotting and RT-PCR.The cell cycle and cell growth of A549 cells were examined by MTT and FCM.RESULTS: The expression of survivin was suppressed effectively by siRNA targeting survivin.The expression of survivin mRNA decreased by 97%.The expression of survivin protein decreased by 94%.The rate of cell growth was decreased.The G1 phase cells were increased,whereas S phase cells were decreased.CONCLUSION: The lentivirus vectors expressing siRNA for survivin can significantly inhibit gene expression and the cell growth,and markedly induce the apoptosis.It is hopeful to be a new gene therapy of lung adenocarcinoma.