Objective:To explore the clinical, imaging, and pathological features of glottic squamous cell carcinoma of the larynx and their relationship with prognosis. Methods:A retrospective analysis was conducted on the clinical, imaging, and pathological data of 130 patients with glottic squamous cell carcinoma of the larynx who were treated at the First People's Hospital of Yinchuan and the General Hospital of Ningxia Medical University from January 2018 to March 2023. Imaging examinations （CT and MRI） were used to evaluate the lesion boundary clarity, density, enhancement nature, and enhancement degree. Postoperative pathological examination was used to determine the pathological nature, immunohistochemistry, etc. Statistical methods such as χ² test, Spearman correlation analysis, multivariate logistic regression analysis, and Kaplan-Meier method were used to analyze the data. Results:Among the 130 patients, 127 were male and 3 were female, with an average age of （61.92±9.595） years. There was a correlation between clinical, imaging, and pathological features. Multivariate analysis showed that heterogeneous MRI density （OR=12.414;P=0.019） and squamous cell carcinoma as a subtype were correlated. The initial symptom of non-hoarseness （HR=6.045;P=0.010） and unclear MRI boundary （HR=12.559; P=0.029） were independent risk factors for poor prognosis in patients with glottic squamous cell carcinoma of the larynx. Conclusion:There is a correlation between the clinical, imaging, and pathological features of patients with glottic squamous cell carcinoma of the larynx, and they can affect prognosis. The initial symptom of non-hoarseness and unclear MRI boundary of the tumor are independent risk factors for poor prognosis.
Humans ; Laryngeal Neoplasms/diagnosis* ; Prognosis ; Male ; Female ; Retrospective Studies ; Middle Aged ; Carcinoma, Squamous Cell/diagnosis* ; Magnetic Resonance Imaging ; Glottis/pathology* ; Tomography, X-Ray Computed ; Aged

Objective:To investigate the clinical characteristics and major allergens of patients with pollen-food allergy syndrome（PFAS） and their correlation with the severity of symptoms, and to provide a basis for identifying high-risk patients, optimizing the allergen testing process and developing individualized dietary management strategies. Methods:The clinical data of 166 patients with PFAS admitted to our hospital from January 2021 to July 2023 were retrospectively analyzed. The clinical symptoms, pollen types and food allergy of the patients were analyzed by questionnaire survey and serum specific IgE detection. phi coefficient, Apriori algorithm modeling and multivariate logistic regression analysis were used to evaluate the association between allergen and symptom severity. Results:Artemisia pollen was the most common allergen in this area, with a positive rate of 96.39%. Peach and mango were the most common food allergens, which caused allergic reactions in 24.10% and 22.89% of patients, respectively. Oral mucosal symptoms were the main symptoms. Correlation analysis showed that there was a correlation between pollen allergens and allergenic food. Association rule analysis showed that when the patient was allergic to the combination of peanuts and trees, the probability of high severity of symptoms was 82.35%. Multivariate analysis showed that ragweed allergy was significantly positively correlated with the severity of PFAS symptoms. Conclusion:Artemisia pollen and related food allergens play an important role in the pathogenesis of PFAS. Association rule mining and network map analysis revealed direct associations between peanut and tree combination allergy and symptom severity, as well as potential links between other inhaled allergens and specific food allergies. Ragweed and peach allergy are independent risk factors for the aggravation of PFAS symptoms, which can be used as early warning indicators. These results help to improve the screening of high-risk patients and the construction of regional allergen databases.
Humans ; Food Hypersensitivity/immunology* ; Allergens/immunology* ; Retrospective Studies ; Pollen/immunology* ; Cross Reactions ; Immunoglobulin E/blood* ; Rhinitis, Allergic, Seasonal/immunology* ; Artemisia/immunology* ; Male ; Female ; Adult ; Prunus persica/immunology* ; Arachis/immunology* ; Middle Aged ; Surveys and Questionnaires ; Oral Allergy Syndrome

Objective:Middle ear cholesteatoma is a common otolaryngological disease, and traditional diagnostic methods have certain limitations. This study aims to construct a computer-aided diagnosis model for middle ear cholesteatoma based on integrated convolutional neural networks (CNNs) to improve diagnostic accuracy and efficiency.Methods:Firstly, Data were collected from patients who visited the Department of Otorhinolaryngology Head and Neck Surgery at the First People′s Hospital of Yinchuan between January 2020 and December 2021. 8 000 temporal bone CT images were collected, including 5 000 images diagnosed pathologically as middle ear cholesteatoma and 3 000 normal images. A five-fold cross-validation method was used to divide the dataset into training and testing sets. Next, a transfer learning approach was used to initialize model parameters, and the AlexNet, GoogleNet, and ResNet networks were pre-trained to extract deep features from the images. Then, the Softmax classification algorithm was applied to classify the features, resulting in three independent classifiers. These classifiers were combined using an ensemble learning method with a weighted voting approach to obtain the final diagnostic results. Finally, the model was evaluated by comparing the ensemble classifier with individual classifiers to assess its accuracy, precision, sensitivity, specificity, and diagnostic time, and a comparison with low-mid-and high-experience physician groups was conducted to comprehensively evaluate the model′s diagnostic performance.Results:The experimental results showed that the model achieved an accuracy of 88.8%(178/200), precision of 92.9%,(112/120) sensitivity of 89.8%(108/120), and specificity of 88.1%(70/80). The average diagnostic time for individual patient temporal bone CT images was reduced to 2-3 seconds. Compared to the diagnostic results from low-mid-and high-experience physician groups, the model demonstrated significant advantages and effectively assisted clinicians in making rapid and accurate middle ear cholesteatoma diagnoses.Conclusion:The proposed middle ear cholesteatoma diagnostic model based on integrated convolutional neural networks exhibits high recognition accuracy and rapid diagnostic speed, significantly improving clinical diagnostic efficiency, especially in early screening and auxiliary diagnosis, making it of considerable value in clinical practice.

Objective:Middle ear cholesteatoma is a common otolaryngological disease, and traditional diagnostic methods have certain limitations. This study aims to construct a computer-aided diagnosis model for middle ear cholesteatoma based on integrated convolutional neural networks (CNNs) to improve diagnostic accuracy and efficiency.Methods:Firstly, Data were collected from patients who visited the Department of Otorhinolaryngology Head and Neck Surgery at the First People′s Hospital of Yinchuan between January 2020 and December 2021. 8 000 temporal bone CT images were collected, including 5 000 images diagnosed pathologically as middle ear cholesteatoma and 3 000 normal images. A five-fold cross-validation method was used to divide the dataset into training and testing sets. Next, a transfer learning approach was used to initialize model parameters, and the AlexNet, GoogleNet, and ResNet networks were pre-trained to extract deep features from the images. Then, the Softmax classification algorithm was applied to classify the features, resulting in three independent classifiers. These classifiers were combined using an ensemble learning method with a weighted voting approach to obtain the final diagnostic results. Finally, the model was evaluated by comparing the ensemble classifier with individual classifiers to assess its accuracy, precision, sensitivity, specificity, and diagnostic time, and a comparison with low-mid-and high-experience physician groups was conducted to comprehensively evaluate the model′s diagnostic performance.Results:The experimental results showed that the model achieved an accuracy of 88.8%(178/200), precision of 92.9%,(112/120) sensitivity of 89.8%(108/120), and specificity of 88.1%(70/80). The average diagnostic time for individual patient temporal bone CT images was reduced to 2-3 seconds. Compared to the diagnostic results from low-mid-and high-experience physician groups, the model demonstrated significant advantages and effectively assisted clinicians in making rapid and accurate middle ear cholesteatoma diagnoses.Conclusion:The proposed middle ear cholesteatoma diagnostic model based on integrated convolutional neural networks exhibits high recognition accuracy and rapid diagnostic speed, significantly improving clinical diagnostic efficiency, especially in early screening and auxiliary diagnosis, making it of considerable value in clinical practice.

BACKGROUND:Premature birth is a major global health problem associated with high mortality and morbidity.White matter injury is the most common brain injury in preterm infants.Salvia miltiorrhiza is a traditional herbal plant that is commonly used to treat cardiovascular and cerebrovascular diseases in Asian countries. OBJECTIVE:To investigate the therapeutic effect of Salvia miltiorrhiza on white matter injury in preterm infants. METHODS:Eighteen neonatal male Sprague-Dawley rats at 3-day gestational age were selected and randomized into normal group,white matter injury group,and Salvia miltiorrhiza group.Animal models of preterm white matter injury were established by permanent ligation of the right common carotid artery in the latter two groups.Rats in the Salvia miltiorrhiza group were given intraperitoneal injection of Salvia miltiorrhiza(5 mg/kg·d)for 7 consecutive days.Normal group and white matter injury group were given the same volume of PBS for intervention.On the 14th day after modeling,the rats were sacrificed.Brains were pathologically observed by hematoxylin-eosin staining under microscope,and the expression levels of myelin basic protein and CC1 in brain tissue were visualized using immunofluorescence.Furthermore,liquid chromatography-tandem mass spectrometry was used to analyze possible pathways for the action of Salvia miltiorrhiza. RESULTS AND CONCLUSION:In the white matter injury group,the structure of the corpus callosum was irregular and the cells appeared swollen and necrotic.In addition,induction of white matter injury resulted in significantly reduced myelin formation,with irregular and loosely arranged nerve fibers and significantly decreased myelin sheaths.Interestingly,white matter injury rats treated with Salvia miltiorrhiza had reduced cellular swelling,reduced lesions,and increased myelin sheaths.The expression of myelin basic protein was closely related to myelin formation,and CC1 was a marker of myelin oligodendrocytes.Salvia miltiorrhiza significantly up-regulated the expressions of myelin basic protein and CC1 in white matter injury rats(P＜0.000 1),indicating that Salvia miltiorrhiza alleviated white matter injury.Liquid chromatography-tandem mass spectrometry analysis showed that the therapeutic effect of Salvia miltiorrhiza in the rat model of white matter injury was closely related to the regulation of complement and coagulation cascades.To conclude,Salvia miltiorrhiza may be a potential therapeutic agent for treating preterm white matter injury.

Objective:To investigate the clinical characteristics and correlation of sleep disturbances(SD)with cognitive impairment-associated cerebral small vascular disease(CSVD-CI)in elderly patients.Methods:In this cross-sectional study, 261 elderly CSVD-CI patients admitted to the Department of Neurology, Second Hospital of Tianjin Medical University between December 2019 and December 2021 were continuously enrolled.The Pittsburgh Sleep Index Scale(PSQI)was used to evaluate the overall sleep quality.Those with a PSQI score ≥7 was assigned to the CSVD-CI with sleep disturbances(CSVD-CI-SD)group, while those with a PSQI score <7 was assigned to the CSVD-CI without SD(CSVD-CI-NSD)group.The Montreal Cognitive Assessment(MoCA)was used to evaluate the cognitive function of patients with CSVD-CI, and scores on the overall cognitive function and various cognitive domains were compared between the CSVD-CI-SD group and the CSVD-CI-NSD group.Results:There were no significant differences between the CSVD-CI-SD group and the CSVD-CI-NSD group in sex ratio, age, education level and comorbidities( P>0.05). Compared with the CSVD-CI-NSD group, patients in the CSVD-CI-SD group took longer to fall asleep, had worse sleep efficiency, a shorter sleep duration, more obvious SD at night, worse sleep quality, more use of sleeping drugs, and more obvious daytime dysfunction(all P<0.05). Compared with the CSVD-CI-NSD group, the total MoCA score, attention score and orientation score in the CSVD-CI-SD group were significantly decreased( P<0.01). Correlation analysis results showed that the total MoCA score and attention in the CSVD-CI-SD group were negatively correlated with SD at night( r=-0.198, r=-0.115, P<0.05 for both), and orientation was negatively correlated with sleep quality( r=-0.170, P<0.05). Conclusions:The prevalence of SD is high in CSVD-CI patients, with CSVD-CI-SD patients showing more obvious overall cognitive, attention and orientation impairment in MoCA.Additionally, the total MoCA score and attention are negatively correlated with nighttime SD, and orientation is negatively correlated with sleep quality in CSVD-CI-SD patients.

Objective:To establish a machine learning model for the diagnosis of clinically significant prostate cancer based on transrectal contrast-enhanced ultrasound parameters and clinically relevant data.Methods:A retrospective analysis was performed on 151 patients in Chongqing University Cancer Hospital who underwent transrectal contrast-enhanced ultrasonography and transrectal ultrasound-guided needle biopsy from November 2018 to September 2021. The time intensity curve was drawn using VueBox software and 12 parameters such as rise time, peak time, average transit time, peak intensity, and rising slope were quantitatively analyzed. Age, total prostate-specific antigen, free prostate-specific antigen, free prostate-specific antigen ratio, volume, prostate-specific antigen density, and transrectal contrast-enhanced ultrasonography parameters, a total of 18 characteristic parameters, were analyzed and screened through relevant attribute values and information gain attribute values. The screening features were trained and tested by the machine learning single algorithm and integrated algorithm, and then the model was evaluated by the F1 value and the area under the ROC curve(AUC).Results:Using the related attribute value and the information gain attribute value, 12 variables and 5 variables were screened out respectively to establish a machine learning model. The model established by the ensemble algorithm was better than the single algorithm. For the two variable selection methods, the AUC (0.810 vs 0.789) and F1 values (0.748 vs 0.742) of the Bagging ensemble algorithm model, which basic algorithm was decision tree, were the highest, followed by Logistic regression and support vector machine(SVM) in order of AUC and F1 values.Conclusions:Based on transrectal contrast-enhanced ultrasound parameters and clinical data, the Bagging ensemble model based on decision tree has the best performance in diagnosing clinically significant prostate cancer.

Objective:For tympanosclerosis patients with ossicular chain fixation, we use ossicular chain bypass technique and evaluate its long-term effects. Methods:From June 2017 to June 2019, 147 patients with tympanosclerosis who underwent middle ear surgery with otoscopy in Yinchuan First People's Hospital were reviewed. The subjects were divided into three groups according to the implemented operation plan, 51 cases in the ossicular chain mobilization group（OCM）, 56 cases in the ossicular chain bypass reconstruction group（OCB）, and 40 cases in the malleus-incus complex resection reconstruction group（MICR）. Through a three-year follow-up, the medium and long-term effects of different operation plans were compared and analyzed. Results:There was no significant difference among the three groups in the incidence of tympanic membrane perforation, delayed facial nerve palsy, and the dispatch and displacement of PORP. The incidence of tympanic membrane retraction pocket or cholesteatoma after operation in OCB group（0） was significantly lower than that in OCM group（11.76%） and MICR group（7.5%）（P<0.05）. At 12 months after operation, ΔABG of OCB group and MICR group were better than that in the OCM group（P<0.05）. At 36 months after operation, ΔABG of OCB group was better than that in the OCM group（P<0.05）, and there was no significant difference between OCB group and MICR group. The audiological performance of patients with epitympanic sclerosis（ETS） at 12, 24 and 36 months after operation was better than that of patients with posterior tympanosclerosis（PTS） and total tympanosclerosis（TTS）（P<0.05）. Conclusion:Compared with patients undergoing ossicular chain mobilization and malleus-incus complex resection for ossicular chain reconstruction, patients with tympanosclerosis undergoing bypass technique have better and stable hearing prognosis in medium and long term. This technique can effectively prevent the formation of retracted pocket and cholesteatoma in patients with tympanosclerosis after operation.
Humans ; Tympanosclerosis ; Ear Ossicles/surgery* ; Ear, Middle ; Malleus/surgery* ; Cholesteatoma ; Retrospective Studies ; Ossicular Prosthesis ; Treatment Outcome

Objective:To understand the influencing factors of death of epidemic Japanese encephalitis (EJE) cases in Longnan City of Gansu Province.Methods:In the EJE Monitoring Information Report Management System of the Chinese Disease Prevention and Control Information System, data on EJE cases with onset from 2014 to 2018 and current address in Longnan City were derived. An "Individual Questionnaire of Epidemic Japanese Encephalitis in Longnan City" was designed, retrospective study was conducted on enrolled cases, their information on demographic data, consultation, onset, clinical classification, and chronic underlying diseases were collected, characteristics of EJE cases and death-related factors were analyzed.Results:From 2014 to 2018, a total of 260 EJE cases were reported in Longnan City, and 259 cases completed the questionnaire. Among them, 70 cases (27.0%) were aged ≥60 years old, 67 cases (25.9%) were severe and extremely severe, and 55 cases (21.2%) had chronic underlying diseases. Among 259 EJE cases, 46 cases died, with a fatality rate of 17.8%. After multivariate unconditional logistic regression analysis, age ≥60 years old [odds ratio ( OR)=2.667, 95% confidence interval ( CI): 1.140-6.237], severe and extremely severe ( OR = 2.762, 61.820, 95% CI: 1.053-7.091, 5.149-742.239), and chronic underlying diseases ( OR = 2.489, 95% CI: 1.038-5.964) were risk factors for death in EJE cases. Conclusions:The influencing factors of death of EJE cases in Longnan City are age, clinical classification and chronic underlying diseases. Therefore, we should focus on patients over 60 years old, clinically classified as severe or extremely severe, and suffering from chronic underlying diseases, and strengthen the immunization of EJE vaccine for key populations.

Objective:To investigate the reoperation and perioperative management of residual cyst wall with perineal intractable sinus after resection of presacral cyst tumors.Methods:The clinical data of 29 patients with residual cyst wall and perineal intractable sinus after resection of presacral cyst tumors in Affiliated Cancer Hospital of Zhengzhou University from January 2014 to August 2019 were reviewed, including the characteristics of the residual cyst wall with perineal intractable sinus after resection of presacral cyst tumors, surgical method, and perioperative management.Results:Twenty-nine patients with residual cyst wall and perineal intractable sinus after resection of presacral cyst tumors, including 9 cases of epidermoid cysts, 7 cases of dermoid cysts, 10 cases of mature teratomas and 3 cases of malignant cysts (including malignant transformation of caudate cyst and teratoma); The 29 patients underwent posterior approaches for cyst resection in other hospital before, of whom 1 patient underwent posterior combined with transabdominal approach. All of thes patients underwent resection of residual presacral cyst wall and perineal intractable sinus in our hospital, of whom 25 patients underwent a transperineal approach through an arc-shaped incision anterior to the apex of the coccyx, and the other 4 patients underwent transperineal arc-shaped incision combined with transabdominal approach. All of the patients were cured without serious complications occurring, postoperative pathological and the magnetic resonance imaging diagnosis showed that the residual cyst wall and perineal intractable sinus were all completely removed.Conclusion:Appropriate surgical approache and perioperative treatment for the patients with residual cyst wall and perineal intractable sinus are very important to promote the resection of residual cyst wall and the healing of perineal intractable sinus.