Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To analyze the clinical characteristics and influencing factors of non-small cell lung cancer (NSCLC) patients with chronic obstructive pulmonary disease (COPD) in Hubei province, and to provide a theoretical basis for the diagnosis and treatment of NSCLC patients with COPD. Methods A total of 246 NSCLC patients admitted to our hospital from 2018 to 2020 were selected and divided into control group (without COPD, n=125) and observation group (with COPD, n=121) according to COPD. The clinical characteristics of chest pain, hemoptysis, emasculation, atelectasis and pleural effusion were compared between the two groups. The values of FEV1/FVC, RV/TLC and DLCO in the two groups were measured by pulmonary function detector. The age, gender, smoking, smoking history, proportion of lung squamous cell carcinoma, TNM stage and other clinical data of all subjects were analyzed by self-made survey scale of our hospital. Univariate analysis and logistic regression were used to analyze the risk factors of COPD in NSCLC patients. Results Among 246 NSCLC patients, 121 patients (49.19%) were complicated with COPD, including 76 males and 45 females, and there was a statistical difference between the two groups (χ²=4.891, P>0.05). The average age of the observation group (61.02±4.82) was significantly higher than that of the control group (59.76±4.73) (t=2.069, P<0.05). The proportion of chest pain, hemoptysis, emaciation, atelectasis, pleural effusion and fatigue in the observation group were significantly higher than those in the control group (P<0.05). The values of FEV1/FVC, RV/TLC and DLCO in the observation group were significantly lower than those in the control group (P<0.05). There were significant differences in smoking history, proportion of lung squamous cell carcinoma and TNM score between the two groups (P>0.05). Male (OR=2.982), smoking history (OR=2.623) and lung squamous cell carcinoma (OR=3.147) were risk factors for COPD in NSCLC patients (P<0.05). Conclusions NSCLC patients with COPD are more common in male smokers in Hubei Province, often accompanied by pleural effusion , severe hemoptysis and other symptoms , and their lung function is decreased. Early detection and standardized treatment of COPD in the treatment of NSCLC can improve the prognosis of patients.

Objective Reliability and validity of the Chinese version of disability attitude scales(DAS-CN)toward disabled persons were created and tested to provide an assessment instrument for measuring the attitude of medical staff toward disabled persons in China.Methods Authorised by the author of DAS in August 2020,based on BRISLIN translation model,the English version of DAS was translated into Chinese followed by back translation,cultural debugging and then put it into pre-experiment in September 2020.The reliability and validity of the finalised DAS-CN were further tested in a survey with 400 randomly selected medical staff in rehabilitation from 8 general hospitals in Jinzhou,Panjin,Yingkou and Fushun in Liaoning Province,China by using the convenience sampling method in March 2021.Results A total of 357 surveyees completed the survey.The localised DSA-CN was composed of 4 dimensions with a total of 20 items,including 4 items in clinical knowledge and skills,4 in clinical responsibility,8 in clinical behaviour and 4 in emotional response.The Cronbach α coefficient of the scales was 0.943,with the split-half reliability and test-retest reliability at 0.824 and 0.899,respectively.The Cronbach α coefficient of each dimension was 0.843～0.944,and the split half reliability was 0.854～0.904.The test-retest reliability ranged from 0.701 to 0.913.The KMO value of exploratory factor analysis was 0.921.The Bartrett spherical test value was 5534.981(P<0.01).The total explanatory rate of variation was 73.050%.Conclusion The Chinese version of Disability Attitude Scales(DSA-CN)has good reliability and validity.Therefore,DSA-CN can be used as an instrument in investigation of the current status about the attitudes towards the disabled persons among the medical staff in China.

Objective:To investigate the induction effect of NPPB,a chloride channel blocker,on the apoptosis of human glioma SHG-44 cells,and to explore its mechanism. Methods:The SHG-44 cells were cultured in vitro and divided into control group and NPPB groups (50,100,200 μmol· L-1 ).The cell viability was detected by MTT assay.The apoptotic rates were detected by flow cytometry.The expression levels of Bax, Bcl-2 and caspase-3 were detected by immunohistochemical analysis and Western blotting method.Results:Compared with control group,the cell viabilities of SHG-44 cells in 100 and 200 μmol·L-1 NPPB groups after treated for 24 and 48 h were decreased significantly (P < 0.01).The results of flow cytometry showed that the apoptotic rates of SHG-44 cells in 100 and 200 μmol·L-1 NPPB groups were 24.64% and 41.85%,and they were higher than that in control group (4.17%) (P <0. 01).The immunohistochemical analysis and Western blotting results showed that the expression levels of caspase-3 and Bax proteins in SHG-44 cells in 100 μmol · L-1 NPPB group were increased (P < 0.05 or P < 0. 01 ), and the expression level of Bcl-2 protein was decreased (P < 0.05 ). Conclusion:NPPB could induce the apoptosis of human glioma SHG-44 cells by the down-regulation of the expression of Bcl-2 and the up-regulation of the expression of Bax,and the activation of caspase-3.

Objective To study the clinical manifestation and MRI feature of toxic encephalopathy after inhaling caffeine and sodium benzoate. Methods Three patients with toxic encephalopathy induced by inhaling caffeine and sodium benzoate were observed clinically and with MRI. Results The 3 patients were male. They all had definite addiction histories (the time of addiction for 3 years to 7 years ). There were special language and retropulsive dystonia besides the common characteristics of toxic encephalopathy:reaction retardation and disturbance of intelligence. MRI showed the change of generalized demyelination in bilateral symmetrical cerebral hemisphere, posterior limbs of internal capsule, corpus callosum, medial lemniscus, and cerebellum hemisphere dentate nucleus. The clinical symptoms of 3 patients were significantly improved 40 days after the adrenocortical steroid and neurotrophic treatment. The mild mood disorder remained in case 1. Conclusion Clinical manifestation and MRI of toxic encephalopathy after inhaling caffeine and sodium benzoate are known, so we could diagnose the patients of the disease in time.