In traditional clinical teaching of impacted tooth extraction, there are problems including limited observation fields for students, insufficient doctor-patient communication training, inadequate clinical thinking development, and low levels of clinical participation. Based on the core elements of visualizing jaw structure with perspective, formulating clinical strategy, immersing in clinical participation, and cultivating the spirit of caregiving, we developed a virtual reality simulation teaching platform for the clinical decision analysis of impacted tooth extraction. The virtual simulation-based platform can create three different impacted tooth scenarios in 3D, which demonstrates the process of clinical decision analysis of impacted tooth extraction through virtuality-reality interaction, allowing students to immerse in the discovery, analysis, and resolution of the medical and humanistic problems in the process of impacted tooth extraction. The questionnaire survey showed that 81.36% (48/59) of the students believed that the software could improve their clinical thinking ability; 76.27% (45/59) of the students believed that it could help them master the basic process of impacted tooth extraction; and 62.71% (37/59) of the students believed that it could improve their skills of impacted tooth extraction. By providing immersive learning experience, constructive teaching design, and multi-dimensional teaching evaluation, the software achieved the goals of cultivating students' clinical thinking ability and professional literacy in oral and maxillofacial surgery.

Objective:To investigate the risk factors for combined coronary microvascular dysfunction (CMD) in patients with ischemia and non-obstructive coronary artery disease (INOCA).Methods:From October 2020 to May 2022, 100 INOCA patients with myocardial ischemic symptoms who underwent coronary angiography (CAG) suggestive of <50% stenosis in all three coronary arteries at the Tenth People′s Hospital of Tongji University were prospectively recruited. Myocardial perfusion imaging (MPI), transthoracic echocardiography and cadmium-zinc-telluride (CZT) SPECT coronary flow quantification were performed in the same month, and 93 INOCA patients (36 males and 57 females, age (63.0±10.9) years) were finally included. CMD was defined as coronary flow reserve (CFR)<2.5. Independent-sample t test, Mann-Whitney U test and χ2 test were used to compare MPI results and left ventricular volume parameters between CMD and non-CMD groups. ROC curve analysis was used to analyze the efficacy of each index in predicting CMD, and independent risk factors for CMD were screened by multivariate logistic regression analysis. Results:Among 93 INOCA patients, 29 were in the CMD group and 64 were in the non-CMD group. The age, proportion of hypertension, left ventricular mass index (LVMI), summed stress score (SSS), summed difference score (SDS), left ventricular internal diameter systolic (LVIDS), interventricular septum thickness (IVST), and left ventricular posterior wall thickness (LVPWT) in the CMD group were higher than those in the non-CMD group ( t values: 2.42-3.76, χ2=8.94, z values: -3.31, -3.41, all P<0.05). ROC curve analysis showed that LVMI, SSS, SDS, LVPWT, IVST and age were significant in predicting CMD (AUCs: 0.67-0.72). Multivariate logistic regression analysis showed that LVMI (odds ratio ( OR)=1.08, 95% CI: 1.01-1.17), SDS ( OR=5.37, 95% CI: 1.95-14.78), hypertension ( OR=5.68, 95% CI: 1.34-24.18) and age ( OR=1.10, 95% CI: 1.03-1.18) were risk factors for CMD. Conclusion:LVMI, SDS, hypertension and age are strongly associated with combined CMD in INOCA patients, which can be used for early risk stratification of INOCA patients.

The liver reserve function refers to the compensatory ability to maintain liver function after damage, providing implication for the resection of hepatic malignant tumor. Hepatobiliary scintigraphy imaging can provide quantitative evaluation of liver blood perfusion, and has advantages on the evaluation of liver reserve function and the prediction of postoperative complications. 99Tc m-galactosyl serum albumin (GSA) and 99Tc m-mebrofenin are commonly used imaging agents for hepatobiliary scintigraphy imaging assessment of liver reserve function. This article reviews the application and progress of hepatobiliary scintigraphy in liver reserve function assessment.

Objective:To develop an approach for the automatic diagnosis of bone metastasis and to design a parameter of quantitative evaluation for tumor burden on bone scans based on deep learning technology.Methods:A total of 621 cases (389 males, 232 females, age: 12-93 years) of bone scan images from the Department of Nuclear Medicine in Tenth People′s Hospital of Tongji University from March 2018 to July 2019 were retrospectively analyzed. Images were divided into bone metastasis group and non-bone metastasis group. Eighty percent of the cases were randomly extracted from both groups as the training set, and the rest of cases were used as the test set. A deep residual convolutional neural network ResNet34 was used to construct the classification model and the segmentation model. The sensitivity, specificity and accuracy were calculated and the performance differences of the classification model in different age groups (15 cases of <50 years, 75 cases of ≥50 and <70 years, 33 cases of ≥70 years) were analyzed. The regions of metastatic bone lesions were automatically segmented by the segmentation model. The Dice coefficient was used to evaluate the effect of the segmentation model and the manual labeled results. Finally, the bone scans tumor burden index (BSTBI) was calculated to assess the tumor burden of bone metastases.Results:There were 280 cases with bone metastases and 341 cases with non-bone metastases, including 498 in training set and 123 in test set. The classification model could accurately identify bone metastases, with the sensitivity, specificity and accuracy of 92.59%(50/54), 85.51%(59/69) and 88.62%(109/123), respectively, and it performed best in the <50 years group (sensitivity, 2/2; specificity, 12/13; accuracy, 14/15). The specificity in the ≥70 years group (8/12) was the lowest. The Dice coefficient of bone metastatic area and bladder area were 0.739 and 0.925 in the segmentation model, which performed similarly in the three age groups. Preliminary results showed that the value of BSTBI increased with the increase of the number of bone metastatic lesions and the degree of 99Tc m-MDP uptake. The machine learning model in this study took (0.48±0.07) s for the entire analysis process from input to the final BSTBI calculation. Conclusions:The deep learning based on automatic diagnosis framework for bone metastases can automatically and accurately identify segment bone metastases and calculate tumor burden. It provides a new way for the interpretation of bone scans. The proposed BSTBI may be used as a quantitative evaluation indicator in the future to assess the tumor burden of bone metastases based on bone scans.

This cross-sectional study aimed to investigate the quality of care of diabetes in Shanghai, China. A total of 173 235 patients with type 2 diabetes in 2017 were included in the analysis. Profiles of risk factors and intermediate outcomes were determined. The patients had a mean age of 66.43 ± 8.12 (standard deviation (SD)) years and a mean diabetes duration of 7.95 ± 5.53 (SD) years. The percentage of patients who achieved the target level for HbA_1c (< 7.0%) was 48.6%. Patients who achieved the target levels for blood pressure (BP) < 130/80 mmHg and low-density lipoprotein-cholesterol (LDL-c) < 2.6 mmol/L reached 17.5% and 34.0%, respectively. A total of 3.8% achieved all three target levels, and the value increased to 6.8% with an adaptation of the BP target level (< 140/90 mmHg) for those over 65 years. Multivariable analysis identified the factors associated with a great likelihood of achieving all three target levels: male, young age, short diabetes duration, low body mass index, macrovascular complications, no microvascular complications, prescribed with lipid-lowering medication, and no prescription of antihypertensive medication. In conclusion, nearly 50% and one-third of the patients with diabetes met the target levels for HbA_1c and LDL-c, respectively, with a low percentage achieving the BP target level. The percentage of patients who achieved all three target levels needs significant improvement.
Aged ; Blood Pressure ; China/epidemiology* ; Cholesterol, LDL/therapeutic use* ; Cross-Sectional Studies ; Diabetes Mellitus, Type 2/drug therapy* ; Glycated Hemoglobin A/analysis* ; Humans ; Male ; Middle Aged

Objective To develop a diagnostic model based on deep neural network for intelligent discrimination of thyroid function. Methods A total of 1616 patients ( 283 males, 1333 females, average age:52 years) who underwent thyroid imaging between May 2016 and June 2018 were selected. According to the clinical diagnosis, the 1616 cases included 299 normal thyroid cases, 876 hyperthyroidism cases and 441 hypothyroidism cases. Feature extraction and learning training were performed on 1000 training set sam-ples by two deep neural network models ( AlexNet;deep convolution generative adversarial networks ( DCGAN) ) using deep learning algorithm. Performance verifications were implemented on 616 test set samples. The con-sistency between the verification results of the two models and the clinical diagnosis was analyzed by Kappa test. Meanwhile, the time advantage of the intelligent diagnosis models was analyzed. Results The average diagnostic time of AlexNet model was 1 s/case, and the classification accuracy for normal thyroid, hyperthy-roidism, hypothyroidism were 82.29％(79/96), 94.62％(369/390), 100％(130/130), respectively. The Kappa value between results of AlexNet model and clinical diagnosis was 0.886 ( P<0.05) . The average di-agnostic time of DCGAN model was 1 s/case, and the classification accuracy for normal thyroid, hyperthy-roidism, hypothyroidism were 85.42％(82/96), 95.64％(373/390), 99.23％(129/130), respectively. The Kappa value between results of DCGAN model and clinical diagnosis was 0.904 ( P<0.05) . Conclusion The deep neural network intelligent diagnosis model can quickly determine the functional status of thyroid gland in thyroid imaging, and it has a high recognition accuracy, thus providing a new method for thyroid image review.

AIM:To investigate the effect of oleuropein on interleukin-1β( IL-1β)-induced SD rat articular chondrocytes .METHODS:The SD rat articular chondrocytes were isolated by 2 step enzyme digestions .The chondrocytes were cultured in vitro.Inverted microscopic observation was performed during the culture .Alcian blue staining and type II collagen immunohistochemical staining were used to identify the chondrocytes .The effects of oleuropein on the viability of chondrocytes were determined by CCK-8 assay.The cells in 3rd passage were pretreated with oleuropein at 10, 50 or 100 μmol/L and subsequently stimulated with IL-1βat 10 μg/L for 24 h.Production of prostaglandin E 2 ( PGE2 ) and ni-tric oxide (NO) were evaluated by the Griess reaction and an enzyme linked immunosorbent assay (ELISA).The mRNA expression of matrix metalloproteinase ( MMP)-1 and MMP-13 was measured by real-time PCR.The protein levels of in-ducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX-2) and nuclear factor-kappa B (NF-κB) were detected by Western blotting .RESULTS:The cell viability of chondrocytes was not significantly impaired by treating with oleuropein at concentration of 10, 50 or 100μmol/L for 24 h compared with control group .Pretreatment with oleuropein significantly in-hibited the production of PGE 2 and NO induced by IL-1β.Oleuropein also significantly decreased the IL-1β-stimulated MMP-1 and MMP-13 mRNA expression in articular chondrocytes .Pretreatment with oleuropein inhibited the IL-1β-media-ted activation of NF-κB by suppressing the degradation of its inhibitory protein IκBαin the cytoplasm .CONCLUSION:Oleuropein inhibits IL-1β-induced inflammatory gene expression by suppressing NF-κB activation at the transcriptional le-vel, suggesting a new mechanism for the anti-inflammatory effects of oleuropein as a novel agent on treating with osteoarthri-tis.

BACKGROUND:Many in vivo and in vitro experiments indicate that hypoxic co-cultures promote stem cells differentiate into chondrocytes.
OBJECTIVE:To evaluate the influence of hypoxia on the chondrogenic differentiation of three-dimensional co-cultured adipose-derived stem cells and articular chondrocytes.
METHODS:Adipose-derived stem cells and articular chondrocytes were mixed at the ratio of 3:1, then the mixed cells were seeded onto poly(lactic-co-glycolic acid)-gelatin scaffold at the ultimate concentration of 5.0×1010/L. The cells were cultured in normoxia (20%O 2 ) and hypoxic (5%O 2 ) conditions for 6 weeks. After culture, hematoxylin and eosin staining was performed for histological structure analysis, and alcian blue staining was used to evaluate glycosaminoglycan synthesis. Type II col agen expression was detected by immunohistochemistry staining. The content of DNA, glycosaminoglycan and hydroxyproline in the scaffold-cellcomplex was measured.
RESULTS AND CONCLUSION:In the hypoxia group, hematoxylin-eosin staining showed the formation of massive cells and extracellular matrix;alcian blue staining showed massive glycosaminoglycan formation;immunohistochemistry staining detected strongly positive expression of col agen type II, the content of DNA, glycosaminoglycan and hydroxyproline was higher than the normoxia group. Hypoxia promotes in vitro chondrogenic differentiation of co-cultured adipose-derived stem cells and articular chondrocytes. .

[ABSTRACT]AIM:TostudytheeffectofsmallinterferingRNA(siRNA)ontheexpressionofbeta2-microglo-bulin (β2M) in pre-differentiated bone marrow mesenchymal stem cells (BMSCs).METHODS: The β2M siRNA was transfected into the pre-differentiated BMSCs with Lipofectamine 2000.BMSCs were divided into transfection group , blank control group and negative control group .The expression of β2 M at mRNA and protein levels was determined by real-time qPCR, Western blotting and laser confocal microscopy .The productions of aggrecan and type II collagen in pre-differentia-ted BMSCs were determined by toluidine blue staining and type Ⅱcollagen immunofluorescence .RESULTS:The results of real-time qPCR, Western blotting and laser confocal microscopy showed that siRNA successfully inhibited the expression ofβ2 M at mRNA and protein levels in the pre-differentiated BMSCs .The results of toluidine blue and type Ⅱcollagen im-munofluorescence staining showed that siRNA does not affect the productions of aggrecan and type Ⅱ collagen in the pre-differentiated BMSCs .CONCLUSION:siRNA targeting β2 M reduces the expression of β2 M in the pre-differentiated BM-SCs and does not affect the chondrocyte characteristics of pre -differentiated BMSCs .