This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans ; Nasal Cavity/surgery* ; Nasal Surgical Procedures ; China ; Consensus ; Sinusitis/surgery* ; Dermal Fillers

Objective To analyze the differences of brain activity between first-episode untreated depressive patients with and without suicidal ideation(SI),and its correlations with clinical characteristics.Methods A total of 40 major depressive disorder(MDD)patients with SI(MDD+SI group),40 patients without SI MDD(MDD+NSI group),and 40 healthy controls(HC)(HC group)were enrolled.The 17-item Hamilton depression scale(HAMD-17)and Beck scale for suicide ideation(BSI)were used to assess the severity of depression and SI,respectively.MRI data were collected.The values of fractional amplitude of low-frequency fluctuation(fALFF)were calculated.Results(1)Compared with the HC group,the MDD+NSI group showed decreases in the fALFF val-ues of the default network and attention network.The fALFF values of the attention network in the MDD+SI group showed decreases.Compared with the MDD+NSI group,the MDD+SI group showed decreases in the fALFF values of the attention network.(2)The fALFF values in the left middle frontal gyrus were negatively correlated with the total score of HAMD-17(r=-0.55;P<0.001)in the MDD+NSI group,while the fALFF values in the left middle frontal gyrus were negatively correlated with the total score of HAMD-17(r=-0.53;P<0.001)and the total score of BSI(r=-0.51;P<0.001)in the MDD+SI group.(3)The optimal critical value of fALFF value in left middle frontal gyrus for predicting SI occurrence in MDD patients was-0.039,area under the curve(AUC)was 0.76,sensitivity was 0.63,and specificity was 0.80.Conclusion The decreased local activity intensity in the left middle frontal gyrus of the brain might be the central mechanism for the occurrence of SI in MDD patients.In addition,the left middle frontal gyrus might have certain value in identifying SI and predicting the severity of SI.

In July 2024,the Diagnosis Related Groups(DRG)2.0 is released based on the Notice from the National Healthcare Security Administration on Issuing the DRG 2.0 and Deepening the Relevant Work.Compared with DRG 1.1,version 2.0 was established based on a wider range of suggestions regarding the Adjacent Diagnosis Related Groups(ADRG),Major Comorbidity or Complication(MCC),and Comorbidity or Complication(CC)from various institutions.A list of disease diagnoses and surgical operations that are not used as grouping rules was compiled,and grouping efficacy was further improved by upgrading the algorithms for MCC and CC with the help of AI.Meanwhile,it is necessary to pay more attention to the number of cases of ADRG,the better methods to list the MCC/CC,the suggestions of various doctors and continuously standardize the data and update the grouping scheme of DRG.

Objective To analyze the differences of brain activity between first-episode untreated depressive patients with and without suicidal ideation(SI),and its correlations with clinical characteristics.Methods A total of 40 major depressive disorder(MDD)patients with SI(MDD+SI group),40 patients without SI MDD(MDD+NSI group),and 40 healthy controls(HC)(HC group)were enrolled.The 17-item Hamilton depression scale(HAMD-17)and Beck scale for suicide ideation(BSI)were used to assess the severity of depression and SI,respectively.MRI data were collected.The values of fractional amplitude of low-frequency fluctuation(fALFF)were calculated.Results(1)Compared with the HC group,the MDD+NSI group showed decreases in the fALFF val-ues of the default network and attention network.The fALFF values of the attention network in the MDD+SI group showed decreases.Compared with the MDD+NSI group,the MDD+SI group showed decreases in the fALFF values of the attention network.(2)The fALFF values in the left middle frontal gyrus were negatively correlated with the total score of HAMD-17(r=-0.55;P<0.001)in the MDD+NSI group,while the fALFF values in the left middle frontal gyrus were negatively correlated with the total score of HAMD-17(r=-0.53;P<0.001)and the total score of BSI(r=-0.51;P<0.001)in the MDD+SI group.(3)The optimal critical value of fALFF value in left middle frontal gyrus for predicting SI occurrence in MDD patients was-0.039,area under the curve(AUC)was 0.76,sensitivity was 0.63,and specificity was 0.80.Conclusion The decreased local activity intensity in the left middle frontal gyrus of the brain might be the central mechanism for the occurrence of SI in MDD patients.In addition,the left middle frontal gyrus might have certain value in identifying SI and predicting the severity of SI.

In July 2024,the Diagnosis Related Groups(DRG)2.0 is released based on the Notice from the National Healthcare Security Administration on Issuing the DRG 2.0 and Deepening the Relevant Work.Compared with DRG 1.1,version 2.0 was established based on a wider range of suggestions regarding the Adjacent Diagnosis Related Groups(ADRG),Major Comorbidity or Complication(MCC),and Comorbidity or Complication(CC)from various institutions.A list of disease diagnoses and surgical operations that are not used as grouping rules was compiled,and grouping efficacy was further improved by upgrading the algorithms for MCC and CC with the help of AI.Meanwhile,it is necessary to pay more attention to the number of cases of ADRG,the better methods to list the MCC/CC,the suggestions of various doctors and continuously standardize the data and update the grouping scheme of DRG.

Objective:To investigate the application effect of 3D digital modeling combined with 3D printed model in assisting the classroom theoretical teaching of orthopedics in five-year undergraduate students majoring in clinical medicine.Methods:In May 2022, 33 five-year undergraduate students majoring in clinical medicine in the class of 2018 in Southwest Medical University were selected and divided into experimental group with 17 students and control group with 16 students according to the odd or even student number. The students in the experimental group were taught by traditional PPT+3D digital modeling combined with 3D printed model, and those in the control group were taught by the traditional PPT teaching method. The teaching effect was evaluated by theoretical examination and a questionnaire survey on the degree of satisfaction with teaching. SPSS 25.0 was used to perform the t-test, the Mann-Whitney U test, the rank sum test, and the chi-square test. Results:The experimental group had a significantly higher score of theoretical examination than the control group (86.24±4.16 vs. 82.50±6.06). The questionnaire survey on the degree of satisfaction with teaching showed that compared with the control group, the experimental group had a significantly higher degree of satisfaction with the understanding and learning of orthopedic diseases [3 (2, 3) vs. 2 (2, 2), P < 0.05], the improvement in learning interest [2 (2, 3) vs. 2 (1, 2), P < 0.05], classroom innovation [3 (3, 3) vs. 2 (1.5, 2), P < 0.05], and overall classroom teaching [3 (2, 3) vs. 2 (2, 2), P < 0.05]. Conclusion:In assisting the classroom theoretical teaching of orthopedics in undergraduate students majoring in clinical medicine, 3D digital modeling combined with 3D printed model can provide concrete 3D models, reduce the difficulties in learning, improve the awareness of orthopedic diseases, strengthen learning interest, and increase the degree of satisfaction with teaching and academic scores.

Objective:To investigate the value of radiomics based on three-dimensional high resolution MR vessel wall imaging (3D HRMR-VWI) for identifying culprit plaques in symptomatic patients with middle cerebral atherosclerosis.Methods:The clinical and imaging features of 117 patients (139 middle cerebral artery plaques) with cerebrovascular diseases in Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology from October 2018 to October 2020 were respectively reviewed. Stratified random sampling was used to divide 139 plaques into training set (97 plaques) and validation set (42 plaque) at the ratio of 7∶3. The plaques were divided into 69 culprit plaques and 70 non-culprit plaques based on plaque MR features and clinical symptoms. The clinical and imaging characteristics of culprit plaques and non-culprit plaques were compared by independent sample t-test, Mann-Whitney U test and χ 2 test, and factors with significant difference between two groups in univariate analysis were further analyzed by multivariate logistic regression to find out the independent predictors of culprit plaques. Radiomics features were extracted, screened and radiomics model was constructed using pre-and post-contrast 3D HRMR-VWI based on the training set. The combined model was constructed by combining the independent predictors and radiomics model. Receiver operating characteristic curve and area under curve (AUC) were used to evaluate the efficacy of each model, and DeLong test was used to compare the efficacy of different models. Results:Significant difference was found in intraplaque hemorrhage, lumen area of stenosis, stenosis diameter, stenosis rate, plaque burden and enhancement rate between culprit and non-culprit plaques (all P<0.05). Multivariate logistic regression analysis confirmed that only intraplaque hemorrhage was the independent predictor for culprit plaques (OR=7.045,95%CI 1.402-35.397, P=0.018). In the validation set, the AUC of the pre-contrast 3D HRMR-VWI model was lower than that of the post-contrast 3D HRMR-VWI model ( Z=-2.01, P=0.044). The AUC of pre+post-contrast 3D HRMR-VWI model was not significantly different from that of post-contrast 3D HRMR-VWI model ( Z=0.79, P=0.427). The AUC showed no significant difference between combined model and pre+post-contrast 3D HRMR-VWI model ( Z=-0.59, P>0.05). The combined model showed the best performance in predicting culprit plaques of middle cerebral artery (AUC=0.939), with the sensitivity, specificity and accuracy of 95.24%, 76.19% and 85.71%. Conclusion:Radiomics based on 3D HRMR-VWI has potential values in identifying culprit plaques in symptomatic patients with middle cerebral atherosclerosis.

Objective: To develop a model incorporating radiomic features and clinical factors to accurately predict acute ischemic stroke (AIS) outcomes. Materials and Methods: Data from 522 AIS patients (382 male [73.2%]; mean age ± standard deviation, 58.9 ± 11.5 years) were randomly divided into the training (n = 311) and validation cohorts (n = 211). According to the modified Rankin Scale (mRS) at 6 months after hospital discharge, prognosis was dichotomized into good (mRS ≤ 2) and poor (mRS > 2); 1310 radiomics features were extracted from diffusion-weighted imaging and apparent diffusion coefficient maps. The minimum redundancy maximum relevance algorithm and the least absolute shrinkage and selection operator logistic regression method were implemented to select the features and establish a radiomics model. Univariable and multivariable logistic regression analyses were performed to identify the clinical factors and construct a clinical model. Ultimately, a multivariable logistic regression analysis incorporating independent clinical factors and radiomics score was implemented to establish the final combined prediction model using a backward step-down selection procedure, and a clinical-radiomics nomogram was developed. The models were evaluated using calibration, receiver operating characteristic (ROC), and decision curve analyses. Results: Age, sex, stroke history, diabetes, baseline mRS, baseline National Institutes of Health Stroke Scale score, and radiomics score were independent predictors of AIS outcomes. The area under the ROC curve of the clinical-radiomics model was 0.868 (95% confidence interval, 0.825–0.910) in the training cohort and 0.890 (0.844–0.936) in the validation cohort, which was significantly larger than that of the clinical or radiomics models. The clinical radiomics nomogram was well calibrated (p > 0.05). The decision curve analysis indicated its clinical usefulness. Conclusion The clinical-radiomics model outperformed individual clinical or radiomics models and achieved satisfactory performance in predicting AIS outcomes.

Objective:To investigate prognostic factors for acral lentiginous melanoma (ALM) , and to construct a nomogram to verify the predictive value of these factors.Methods:Clinical data on 1 573 patients with ALM were collected from the Surveillance, Epidemiology, and End Results (SEER) database of National Cancer Institute in United States between 2004 and 2015. Data about patients′ age, gender, ulcer status, SEER staging, surgical protocols, T-, N- and M-staging, overall survival rates and disease-specific survival rates were extracted. Chi-square test was used to analyze the correlation of clinical characteristics with overall survival rates and melanoma-specific survival rates, and univariate and multivariate Cox proportional hazards regression models were used to investigate prognostic factors and establish predictive models.Results:Among the 1 537 patients with ALM, 714 were males, 823 were females, 818 were under 64 years of age, and 1 363 were Caucasian. Skin lesions occurred on the lower limbs and buttocks in 1 205 cases, and 974 cases had ulcers; according to the SEER staging, non-spread localized skin lesions were observed in 1 048 cases. There were significant differences in the mortality rate among patients of different ages at diagnosis, different gender, with different ulcer status, surgical status, and at different SEER stages, T-stages, N-stages and M-stages (all P < 0.001) . Univariate and multivariate Cox regression analysis showed that age ≥ 65 years, male, ulcers and distant lymph node metastasis in the SEER staging were associated with increased risk of death in the patients (all P < 0.05) , and the mortality rate was significantly higher in the patients with T2-, T3- or T4-stage ALM than in those with T1-stage ALM (all P < 0.05) , and higher in the patients with N1-, N2- and N3-stage ALM than in those with N0-stage ALM (all P < 0.05) . Conclusion:Age, gender, ulcer status, SEER stage, T-stage and N-stage are independent prognostic factors for overall survival rates and disease-specific survival rates of ALM.

Objective To adopt the network meta analysis method to compare the incidence difference of cutaneous squamous-cell carcinoma(SCC)and rash in 5 kinds of targeted drugs regimen for treating malignant melanoma.Methods PubMed and Cochrane Library databases were retrieved by computer.The retrieval range was from their establishment to November 2015.The network meta analysis pooled the evidences of direct and indirect comparison for evaluating the pooled odds ratio(OR)and cumulative probability of cutaneous complications occurrence difference in 5 kinds of targeted drugs regimen for treating malignant melanoma.Results Six randomized controlled trials(RCTs)conforming to the inclusion criteria were included.The meta analysis results revealed that compared with Dabrafenib+Trametinib,the cutaneous SCC occurrence rate of Vemurafenib was higher(OR=9.20,95％CI=1.26-52.53),while the rash occurrence rate of Vemurafenib+Cobimetinib was higher(OR=6.81,95％CI=1.01-41.87).The surface under the cumulative ranking curves(SUCRA)value showed that adopting Trametinib had the lowest occurrence rate for SCC,and adopting Dabrafenib+Trametinib had the lowest occurrence rate of rash.Conclusion Dabrafenib+Trametinibis generate the lowest complication incidence rate of malignant melanoma.