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 the effect of TGF? 1 on expression of MHCⅠ type antigen in human pulmonary squamous cell carcinoma.Methods Expressions of ? 2 M in primary culture cells with rhINF? and rhTGF? 1+rhINF? from human pulmonary squamous cell carcinoma were detected by FCM(Flow Cytometry Method), respectively. Results Expression of ? 2 M in all tumor cell groups was induced significantly by rhINF? ( P 0.05) Conclusion Expression of INF? induced MHCⅠ type antigen in human pulmonary squamous cell carcinoma can be inhibited by TGF? 1.

Objective To investigate the expression of TGF ? 1 in human pulmonary squamous cell carcinoma Methods TGF ? 1 in serum free conditioned medium of different differentiated degree primary cells in culture from human pulmonary squamous cell carcinoma were detected by ELISA Results TGF ? 1 in serum free conditioned medium from all tumor cell groups is significantly higher than from normal bronchial epithelial cell groups ( P 0 05) Conclusion Inhibition effect by TGF ? 1 on cell growth of human pulmonary squamous cell carcinoma is weakened

This paper is to report the result of the surgical treatment of 12 cases of carcinoma of the hypopharynx and cervical esophagus in a period of 3 years.Ten out of the 12 cases were explored and resection of the tumor was perforr med on 8 cases. In 7 cases out of the 8. the esophagus was stripped out and the stomach was transposed without thoracotomy and total pharyngolaryngectomy was performed in addition on 3 of them. In the 8th resected case, the pharynx, larynx and the cervical esophagus were resected and then a segment of jejunum was isolated ar.d transplanted to reconstruct an esophagus.All the cases stood the operation rather well. Postoperatively 3 cases developed serious complications; one died of cardiac failure, one developed salivary fistula and the third one developed partial ischemic necrosis of the transposed stomach. The last patient was treated with intraluminal intubation and he could take soft food when he was discharged. Six cases were followed up for years;two died one year after operation and 4 are living.The operative indications, the method of approach, and the postoperative complications were discussed. It is concluded that carcinoma of the hypopharynx and cervical esophagus is not an uncommon disease with high resectability and better survival rate as compared with carcinomas of other sites, but early detection and prompt operation are imperative for a cure.