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 investigate corneal transparency alteration in patients with type 2 diabetes and its influencing factors.Methods:A case-control study was conducted.A total of 52 patients with type 2 diabetes mellitus (DM) (104 eyes) and 23 age-matched healthy controls (46 eyes) were enrolled as DM group and normal control group in the Second Affiliated Hospital of Anhui Medical University from October 1, 2020 to October 30, 2021.Patients with DM were further divided into non-diabetic retinopathy (non-DR) and DR groups according to their fundus conditions.Corneal densitometry (CD) was evaluated using the Pentacam.According to its built-in program, the cornea was divided into anterior, intermediate, and posterior layers and subdivided into 0-2 mm, >2-6 mm, >6-10 mm, and >10-12 mm annular regions with the corneal apex as the center of the circle.Pentacam automatically calculated the CD value of each corneal layer and region as well as the total CD value.The influencing factors of total CD value in diabetes group were analyzed by a multivariate linear regression analysis model.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of the Second Affiliated Hospital of Anhui Medical University (No.YX2023-129[F1]).Written informed consent was obtained from each subject before any medical examination.Results:The total CD value of diabetes group was 20.24±3.10, which was significantly higher than 18.79±3.31 of normal control group ( t=-2.583, P=0.011).The CD values of the anterior layer, intermediate layer, 0-2 mm, and >2-6 mm regions were significantly higher in diabetes group than in normal control group (all at P<0.05).The CD values in the anterior layer were higher in non-DR and DR groups than in normal control group, and the CD values and total CD values in the middle and posterior layers were higher in non-DR group than in normal control group and DR group, and the differences were statistically significant (all at P<0.05).The CD values in the 0-2 mm and >2-6 mm regions were significantly higher in non-DR group than in normal control group, and the CD value in the >6-10 mm annular region was significantly higher in non-DR group than in DR group and normal control group (all at P<0.05).Multivariate linear regression analysis showed that age and glycosylated hemoglobin (HbA1c) level were the main influencing factors for the increase in CD values in diabetic patients ( β=0.266, P<0.001; β=0.423, P=0.003). Conclusions:The decrease of corneal transparency precedes the appearance of DR in patients with diabetes.Poor control of HbA1c level in diabetic patients may cause the decline of corneal transparency.

Pulmonary blast injury has become the main type of trauma in modern warfare, characterized by externally mild injuries but internally severe injuries, rapid disease progression, and a high rate of early death. The injury is complicated in clinical practice, often with multiple and compound injuries. Currently, there is a lack of effective protective materials, accurate injury detection instrument and portable monitoring and transportation equipment, standardized clinical treatment guidelines in various medical centers, and evidence-based guidelines at home and abroad, resulting in a high mortality in clinlcal practice. Therefore, the Trauma Branch of Chinese Medical Association and the Editorial Committee of Chinese Journal of Trauma organized military and civilian experts in related fields such as thoracic surgery and traumatic surgery to jointly develop the Clinical treatment guideline for pulmonary blast injury ( version 2023) by combining evidence for effectiveness and clinical first-line treatment experience. This guideline provided 16 recommended opinions surrounding definition, characteristics, pre-hospital diagnosis and treatment, and in-hospital treatment of pulmonary blast injury, hoping to provide a basis for the clinical treatment in hospitals at different levels.

Objective: A preliminary study on the Mental Health Test Modified. Methods: According to regionalism of Zhejiang Province, 2084 middle school students were sampled from 36 classes of 6 junior middle schools and 6 senior middle schools from 8 cities and towns. Results: The norm of the Mental Health Test Modified toward Zhejiang Province was made. The scores of students in junior middle school of Learning Anxiety, Sensitivity Tendency, Body Symptom, Hor- ror Tendency and Impulsion Tendency are higher than those of students in senior middle school. Among students of junior middle schools, the state of Self- accusation Tendency of Grade Two is more serious. Among students in senior middle school, the state of Learning Anxiety and Self- accusation Tendency, Sensitivity Tendency and Horror Tendency of Grade One are also more serious. Conclusion: There should be different emphases in the process of Mental Health Education for students of different grades.