Objective To investigate the selection of treatment strategies and prognostic factors for patients with stage T3 and T4 laryngeal carcinoma. Methods A total of 132 patients with stage T3 and T4 laryngeal cancer admitted to our hospital from March 2010 to March 2019 were retrospectively selected as research objects. According to the different treatment strategies, the patients were divided into simple surgery group (group A, 57 cases), simple chemoradiotherapy group (group B, 32 cases), and surgery combined with chemoradiotherapy group (group C, 43 cases). The general data and clinicopathological features of the three groups were compared, and a survival curve was drawn by the Kaplan–Meier method. The 3-year survival rates of the three groups were compared. Then, the same 132 patients were divided into survival and death groups. The clinical data of the two groups were compared, and the prognostic factors were analyzed by multivariate logistic regression. A back propagation (BP) neural network model was constructed, and its differentiation and accuracy were evaluated. Results The proportions and 3 year survival rates of patients with poor differentiation, lymphatic vascular invasion, and involvement of lymph nodes outside the capsule in group C were significantly higher than those in groups A and B (P < 0.05). The 3 year survival rate of 132 patients was 68.94%(41/132). Poor differentiation, N2-N3 stage, lymphatic vascular invasion, and involvement of lymph nodes outside the capsule were risk factors for death (P < 0.05), whereas surgery combined with radiotherapy and chemotherapy were protective factors (P < 0.05). The BP neural network model exhibited good discrimination and high accuracy. Conclusion Surgery combined with radiotherapy and chemotherapy can significantly improve survival rate in patients with poor differentiation, lymphatic vascular invasion, and involvement of lymph nodes outside the capsule. Close attention should be paid to patients with stage N2-N3 in the formulation of reasonable treatment strategies.

The latest epidemiological data suggests that the situation of adult diabetes in China is severe, and metabolic diseases have become significant chronic illnesses that have a serious impact on public health and social development. After more than six years of practice, the National Metabolic Management Center(MMC) has developed distinctive approaches to manage metabolic patients and has achieved a series of positive outcomes, continuously advancing the standardized diagnosis and treatment model. In order to further improve the efficiency, based on the first edition, the second edition guideline was composed by incorporating experience of the past six years in conjunction with the latest international and domestic guidelines.

The dental operative microscope has been widely employed in the field of dentistry, particularly in endodontics and operative dentistry, resulting in significant advancements in the effectiveness of root canal therapy, endodontic surgery, and dental restoration. However, the improper use of this microscope continues to be common in clinical settings, primarily due to operators' insufficient understanding and proficiency in both the features and established operating procedures of this equipment. In October 2019, Professor Jingping Liang, Vice Chairman of the Society of Cariology and Endodontology, Chinese Stomatological Association, organized a consensus meeting with Chinese experts in endodontics and operative dentistry. The objective of this meeting was to establish a standard operation procedure for the dental operative microscope. Subsequently, a consensus was reached and officially issued. Over the span of about four years, the content of this consensus has been further developed and improved through practical experience.
Humans ; Dentistry, Operative ; Consensus ; Endodontics ; Root Canal Therapy ; Dental Care

Background Global warming may increase the frequency of compound hot extreme (CHE).However, there is still a lack of studies assessing the associations between CHE and preterm birth (PTB), and the underlying biological mechanisms remain unclear. Objective To estimate the association of exposure to CHE during pregnancy with PTB, and to explore the roles of inflammatory, endothelial dysfunction, and oxidative stress in the association between CHE and PTB. Methods All participants were selected from the Prenatal Environments and Offspring Health (PEOH), a prospective birth cohort conducted in Guangzhou. In this study, a total of 2449 participants who gave birth from May to October in 2014 to 2017 were enrolled, and among them blood samples were collected from 311 preterm (n=43) and full-term (n=268) pregnant women at the time of delivery. A hot day/night was identified as a day when the daily maximum temperature/minimum temperature was higher than its 90th percentile in the study period, and a CHE was defined as having both a hot night and a following hot day. The meteorological data were obtained from the China Meteorological Data Sharing Service System. Anusplin was used to assess the daily maximum temperature, daily minimum temperature, and relative humidity of the participant residence. Enzyme-linked immunosorbent assay (ELISA) was used to measure C reactive protein (CRP), endothelin-1 (ET-1), and malondialdehyde (MDA) levels in maternal serum, and their results were transformed by natural logarithm. A distributed lag nonlinear model was used to investigate the associations of exposures to hot day, hot night, and CHE during pregnancy with PTB at different lag days, and a logistic regression model was used to investigate the associations of CRP, ET-1, and MDA with PTB. Results The incidence rate of PTB was 6.2% in all selected participants. Compared with the non-hot day, the RRs (95%CIs) of CHE in lag 3, 7, and 14 days on PTB were 1.43 (1.12-1.84), 1.24 (1.08-1.43), and 1.17 (1.05-1.30), respectively, and the cumulative effects (% difference) (95%CI) of CHE in lag 14 days on maternal serum CRP, ET-1, and MDA were 0.33% (−0.45%-1.12%), 0.59% (0.11%-1.07%), and 0.57% (0.09%-1.05%), respectively. Compared with the Q1 (lowest quartile) for CRP, ET-1 and MDA, the RRs (95%CIs) of Q4 (highest quartile) for PTB were 1.27 (0.50-3.22), 1.51 (0.61-3.72), and 2.07(0.81-5.27), respectively. Conclusion Maternal exposure to CHE during pregnancy might be associated with an increased risk of PTB. Prenatal exposure to CHE is positively associated with maternal serum CRP, ET-1, and MDA, and the three biochemical indicators are also positively associated with PTB. However, the above conclusions still need further confirmation.

Cardio-cerebrovascular disease (CCVD) is a major comorbidity of Coronavirus disease 2019 (COVID-19). However, the clinical characteristics and outcomes remain unclear. In this study, 102 cases of COVID-19 from January 22, 2020 to March 26, 2020 in Xixi Hospital of Hangzhou were included. Twenty cases had pre-existing CCVD. Results showed that compared with non-CCVD patients, those with CCVD are more likely to develop severe disease (15% versus 1%), and the proportion of pneumonia severity index grade IV was significantly higher (25% versus 3.6%). Computed tomography images demonstrated that the proportion of multiple lobe lesion involvement was significantly higher in the CCVD group than in the non-CCVD group (90% versus 63.4%). Compared with non-CCVD group, the levels of C-reactive protein, fibrinogen, D-dimer, and serum amyloid-A were higher, whereas the total protein and arterial partial PaO
COVID-19 ; Cerebrovascular Disorders/epidemiology* ; Comorbidity ; Humans ; SARS-CoV-2 ; Tomography, X-Ray Computed

Objective:To explore the risk factors for early hematoma expansion (HE) in patients with spontaneous intracerebral hemorrhage (sICH), and construct a clinical-radiomics combined model to predict HE after sICH.Methods:From April 2014 to September 2020, 339 patients with sICH who underwent plain CT scans in Radiology Department of our hospital were recruited. Patients were divided into HE group and non-HE group according to whether HE occurred (HE was defined as an increase in hematoma volume>33% or 6 mL on the follow-up CT within 24 h). The clinical data of non-HE group and HE group were compared, and multivariate Logistic regression analysis was used to detect independent risk factors for HE. The radiomics features were extracted from the regions of interest of the hematoma in the first CT scan images; the optimal radiomics features were selected using least absolute shrinkage and selection operator (LASSO) regression model and 10-fold cross-validation method, and then, the radiomics scores (R-score) were calculated; the risk factors for HE (clinical data) and R-score (radiomics data) were used to construct the clinical model, R-score model, and clinical-radiomics combined model; receiver operating characteristic (ROC) curve was performed to evaluate the prediction performance of clinical model, R-score model, and clinical-radiomics combined model; the best model was visualized as a nomogram and a calibration curve was drawn to evaluate the prediction accuracy of this model.Results:As compared with patients in the non-HE group, patients in the HE group had shorter time from sICH onset to first CT, higher percentage of patients with diabetes, lower platelet count, lower Glasgow Coma Scale (GCS) scores, and larger baseline hematoma volume in CT image, with significant differences ( P<0.05). Multivariate Logistic regression analysis showed that baseline hematoma volume ( OR=1.015, 95%CI: 1.000-1.030, P=0.046), GCS scores ( OR=0.914, 95%CI: 0.839-0.995, P=0.039), time from sICH onset to first CT ( OR=0.855, 95%CI: 0.741-0.987, P=0.032), and diabetes ( OR=0.522, 95%CI: 0.311-0.875, P=0.014) were independent risk factors for HE. By using LASSO regression and 10-fold cross-validation method, 20 optimal radiomics features were finally selected. The area under ROC curve of clinical model, R-score model, and clinical-radiomics combined model were 0.650, 0.860, and 0.870, respectively. The calibration curve showed that the prediction accuracy of clinical-radiomics combined model in early HE had good consistency with the actual occurrence probability. Conclusion:The clinical-radiomics combined model could effectively predict early HE with good calibration, which is helpful in individualized clinical assessment of risk of early HE in SICH patients.

The coronavirus disease 2019 (COVID-19) was confirmed by nucleic acid test in 15 juvenile patients aged 4-17 years in Hangzhou Xixi Hospital from January 24 to February 10, 2020. The clinical data and the initial chest high resolution CT (HRCT) findings were retrospectively analyzed.Among 15 cases, 8 patients with a mean age of (6.5±2.3) years (4-11 year) had normal HRCT manifestations (mild disease), while 7 patients with a mean age of (11.9±3.0) years (7-17 years) showed abnormal manifestations (moderate disease). In the 7 moderate cases the CT findings included local thickening of bronchial wall in 2 cases, single lesion in 1 case, bilateral pulmonary lesions in 4 cases. There were total 11 lesions, 6 of which were ground glass and slightly high-density nodules, 5 of which were speckled ground glass and 2 with a little consolidation. There were 10 subpleural lesions, including 7 in the lower lobe of the two lungs, and 1 non-subpleural lesion; the thickened local bronchioles were observed in 3 cases. None of them had hilum and mediastinal lymph node enlargement or pleural effusion.

Objective To compare the diagnostic value of DSA with that of Gd-EOB-DTPA-enhanced MRI for postoperative recurrent tiny hepatocellular carcinoma (HCC) lesions.Methods The clinical data of a total of 38 patients,who were admitted to authors' hospital during the period from September 2011 to March 2016 as clinically they were suspected to have postoperative recurrent tiny HCC lesions,were retrospectively analyzed.DSA,DSA plus lipiodol CT scan and Gd-EOB-DTPA-enhanced MRI were performed in all patients.The positive and negative diagnosis rates were compared among different examination methods,the diagnostic sensitivity and specificity were calculated.The imaging diagnosis of each patient was made by two associationchief radiologists independently,both the pathological findings from surgery or puncture biopsy and the 6-month follow-up results were taken as the final diagnosis basis.Results A total of 47 lesions were detected in the 38 patients.The diameter of the lesions was 0.5-2.0 cm,with an average of (1.2+0.8) cm.Of the 47 lesions,41 were proved to be recurrent tiny HCC lesions.Among the 41 lesions,22 had pathological evidence,and the remaining 19 lesions were confirmed through clinical follow-up.Six lesions were non-HCC focus,which were proved by clinical follow-up.For all lesions,the diagnostic sensitivity and specificity were 72.2％ and 80.0％ respectively by conventional DSA,which were 90.2％ and 100％ respectively by DSA plus lipiodol CT scan,and were 95.1％ and 100％ respectively by Gd-EOB-DTPA-enhanced MRI.Statistical analysis indicated that significant differences in diagnostic sensitivity and specificity existed between conventional DSA and DSA plus lipiodol CT scan as well as between conventional DSA and Gd-EOB-DTPA-enhanced MRI (P＜0.05),while the differences in diagnostic sensitivity and specificity between DSA plus lipiodol CT scan and Gd-EOB-DTPA-enhanced MRI were not statistically significant (P＞0.05).Conclusion For the detection of postoperative recurrent tiny HCC lesions,DSA plus lipiodol CT scan has quite the same diagnostic value as Gd-EOB-DTPA-enhanced MRI does.For patients who are not suitable to receive MRI examination,the use of DSA plus lipiodol CT scan,as an alternative means of inspection,should be taken into consideration.

Objective To evaluate the diagnostic capabilities of T2 WI features in peripheral zone prostate cancer.Methods The characteristics of T2 WI in 56 cases of peripheral zone prostate cancer,75 cases of benign prostatic hyperplasia and 7 cases of prostatitis confirmed by pathology were analyzed retrospectively.Eight indexes were initially screened byχ2 test,then indexes with significant difference were entered into multivariate Logistic regression analysis.Results The indexes showing statistical differences between prostate cancer and benign prostatic disorders were as following:lesion shape,signal intensity,signal uniformity,boundary of peripheral zone and transition zone,the volume of peripheral zone and prostatic capsule on T2 WI (P<0.05).Margin of lesion and capsule between two groups were not statistical differences (P>0.05).By multivariate Logistic analysis,the statistically significant difference were found in lesion shape, the volume of peripheral zone,prostatic capsule and boundary of peripheral zone and transition zone.Conclusion The lesion shape, volume of peripheral zone and prostatic capsule on T2 WI are independent risk factors for peripheral zone prostate cancer.