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 explore the clinical and molecular basis for a Chinese pedigree affected with Complete androgen insensitivity syndrome (CAIS).Methods:A CAIS pedigree presented at Tianjin Medical University General Hospital between 2019 and 2021 was selected as the study subject. Clinical data of the proband was collected, along with peripheral blood samples from the proband and her family members. Chromosomal karyotyping, sex-determining region of the Y chromosome ( SRY) testing, and next-generation sequencing (NGS) were carried out for the proband, and candidate variant was verified by Sanger sequencing of her family members. Prenatal diagnosis was provided for the sister of the proband. This study was approved by Medical Ethics Committee of the Tianjin Medical University General Hospital (Ethics No. IRB2023-WZ-070). Results:The 18-year-old proband, who has a social gender of female, underwent laparoscopic examination, which showed no presence of uterus and ovaries. The karyotype of peripheral blood sample was 46, XY, with SRY gene detected. NGS indicated that the proband has harbored a heterozygous c. 1988C>G (p.Ser663Ter) variant of the AR gene. Sanger sequencing confirmed that her mother and sister had both harbored the same variant, whilst her father and younger sister were of the wild-type. Prenatal diagnosis revealed that her sister′s first fetus had harbored carried the same variant, which had led to termination of pregnancy. Her second fetus did not carry the variant, and a healthy boy was born. Based on guidelines from the American College of Medical Genetics and Genomics (ACMG), the variant was classified as likely pathogenic (PM2_Supporting+ PM4+ PP3_Moderate+ PP4). Conclusion:The c. 1988C>G (p.Ser663Ter) variant of the AR gene probably underlay the CAIS in the proband. The accurate diagnosis of sex development disorders will rely on the physicians′ thorough understanding of the clinical symptoms and pathogenic genes. Genetic testing and counseling can enable precise diagnosis, prenatal diagnosis, and guidance for reproduction

Objective To investigate changes in nutritional status in senile dementia patients with malnutrition treated with enteral nutrition combined with rehabilitation therapy evaluated by using the Mini Nutritional Assessment-Short Form(MNA-SF).Methods Fifty hospitalized patients with senile dementia and malnutrition at the internal medicine department of our hospital from July 2014 to July 2017 were enrolled and further divided into an enteral nutrition group(a control group,n =25)and an enteral nutrition combined with rehabilitation therapy group(an observation group,n=25).Anthropometric parameters including body mass index,biceps circumference,calf circumference,triceps skin-fold thickness,and blood biochemical parameters including hemoglobin,total cholesterol,triacylglycerol,albumin,lymphocyte count before and after treatment were compared between the groups.Results Anthropometric parameters such as body mass index,biceps circumference,calf circumference and triceps skin-fold thickness had no significant difference between the two groups before treatment (P ＞ 0.05),while after 30 days of treatment,anthropometric parameters saw improvement in both groups compared with those before treatment,and the improvement was greater in the observation group than in the control group(P ＜0.01).Blood biochemical parameters had no significant difference between the two groups before treatment(P＞0.05).After 30 days of treatment,levels of total cholesterol and triacylglycerol had no significant difference compared with those before treatment or between the two groups(P ＞0.05),while levels of hemoglobin,albumin and lymphocyte count improved compared with those before treatment (t =2.645,2.843,2.967,respectively,P ＜0.01),and had significant differences between the groups (t =2.548,2.864,2.976,respectively,P＜0.01).Conclusions Enteral nutrition combined with rehabilitation therapy has a measurable,positive influence on nutritional status in senile dementia patients with malnutrition.

Filamentous fungi are widely used in industrial fermentation. Particular fungal morphology acts as a critical index for a successful fermentation. To break the bottleneck of morphological analysis, we have developed a reliable method for fungal morphological analysis. By this method, we can prepare hundreds of pellet samples simultaneously and obtain quantitative morphological information at large scale quickly. This method can largely increase the accuracy and reliability of morphological analysis result. Based on that, the studies of Aspergillus niger morphology under different oxygen supply conditions and shear rate conditions were carried out. As a result, the morphological responding patterns of A. niger morphology to these conditions were quantitatively demonstrated, which laid a solid foundation for the further scale-up.
Aspergillus niger ; cytology ; Fermentation ; Industrial Microbiology ; Reproducibility of Results

Background and Purpose:dPET/CT is very expensive,so although the accuracy of hPET/CT is less than dPET/CT,it is better than CT,and is useful for guiding the tumor staging before operation.This paper is evaluate the role of ~(18)F-fluorodeoxyglucose(FDG) hPET/CT in primary carcinoma of gastric cardia detection.Methods:26 patients with histologically proven primary carcinoma of gastric cardia underwent whole body hPET/CT imaging.Visual and semiquantitative analysis and standardized uptake value(SUV) were used to analyze the images.The results of hPET/CT study were compared with those of CT.Results:1.The sensitivity of hPET/CT in primary carcinoma of gastric cardia detection was 92.3%(24/26);two cases of signet ring cell carcinoma gave false negative results,and the primary lesions were small(