This paper proposes a two-stage method integrating visual foundation models （VFM） and diffusion models. The segment anything model （SAM） as VFM is combined with the SegRefiner diffusion model to construct the SAM-SegRefiner framework for automated segmentation of edema， inflammation， and thrombus regions in histopathological images of hemorrhoidal tissue， providing a reproducible technical tool for the objective quantification of pathological morphology and its application in traditional Chinese medicine （TCM） syndrome research. Trained and validated on multi-center retrospective data， the SAM-SegRefiner model achieved an average pixel accuracy of 95.32% and a mean intersection over union （mIoU） of 66.81% on an independent test set， significantly outperfor-ming comparative models such as U-Net， MixU-Net， and SAM-Med2D， and also demonstrating robust cross-center generalization capability. Furthermore， by correlating the quantitatively segmented results from the model with the patients' TCM syndrome types， the potential associations between pathomorphological features and TCM syndrome differentiation have been explored. The analysis revealed no statistically significant differences in the degree of inflammatory infiltration and thrombus formation among different syndrome types， suggesting a complex relationship between local pathological changes and systemic syndrome manifestations.

Objective:To study echinococcosis in the population and canine Echinococcus infection in Yushu City, Qinghai Province, and to explore the current epidemic situation and main transmission species of Echinococcus. Methods:In June 2023, a multi-stage sampling method was used to select 2 villages each in Shanglaxiu Township and Longbao Town, Yushu City, Qinghai Province. Each village included at least 100 permanent residents who had lived locally for at least 1 year and were 2 years old or older as the survey subjects. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum antibodies against Echinococcus larvae in the population, and B-mode ultrasound was used for abdominal organ scanning. Meanwhile, on the main roads of Shanglaxiu Township and Longbao Town, canine feces were collected in designated areas at intervals. ELISA was used to detect the antigen of canine fecal Echinococcus, and PCR was used to detect the types of parasites ( Echinococcus multilocularis, Echinococcus granulosus and Echinococcus shiquicus). Results:A total of 511 residents were investigated in Yushu City, and the positive rate of serum Echinococcus larvae antibodies in the population was 26.22% (134/511), and the detection rate of echinococcosis B-mode ultrasound was 1.37% (7/511). Among them, the detection rates of B-mode ultrasound for cystic echinococcosis (CE) and alveolar echinococcosis (AE) were 1.17% (6/511) and 0.20% (1/511), respectively. The positive rate of Echinococcus antigen in 543 canine feces detected by ELISA was 12.89% (70/543). PCR was used to test 497 canine feces, and the detection rate of Echinococcus was 3.02% (15/497). Among them, the detection rate of Echinococcus multilocularis was higher than that of Echinococcus granulosus [2.82% (14/497) vs 0.20% (1/497)], and the difference was statistically significant (χ 2 = 11.44, P < 0.001). No Echinococcus shiquicus was detected. Conclusions:The positive rates of Echinococcus larvae antibodies in the population and canine Echinococcus antigen in Yushu City, Qinghai Province are both relatively high. There is a mixed epidemic of CE and AE, with Echinococcus multilocularis being the main species.

Objective To evaluate the application value of the MR three-dimensional double inversion recovery(3D DIR)sequence in the diagnosis of optic neuritis(ON).Methods A retrospective analysis was conducted on MRI images from 40 patients with sus-pected ON.All patients underwent conventional T2 WI fat suppression(FS)and 3D DIR sequences.The lesion detection rate and diag-nostic accuracy of the intraorbital,intracanalicular,and intracranial segments of the optic nerve were compared between the two sequences,respectively.The receiver operating characteristic(ROC)curves were used to assess the diagnostic performance,and the intraclass correlation coefficient(ICC)were used to analyze interobserver consistency.Imaging assessments were independently performed by two senior and two junior radiologists.Results The sensitivity(SEN),specificity(SPE),and accuracy(ACC)in lesion detection of 3D DIR sequence were significantly better than those of conventional T2 WI FS sequence[odds ratio(OR)221 vs 104,P＜0.001].Notably,3D DIR sequence exhibited superior performance in detecting lesions in the intraorbital segment[area under the curve(AUC)0.915,OR=102]and intracanalicular segment(AUC 0.858,OR=51)compared with conventional T2WI FS sequence.Additionally,3D DIR sequence significantly improved diagnostic consistency among junior radiologists(ICC value increased from 0.469 to 0.655),bring-ing their diagnostic performance closer to that of senior radiologists(AUC improved to 0.883,ACC reached 90.1％).Conclusion The 3D DIR sequence has outstanding diagnostic efficacy in detecting ON lesions,significantly improving ACC and interobserver consistency,thereby offering strong support for the precise diagnosis of ON.

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 application value of the MR three-dimensional double inversion recovery(3D DIR)sequence in the diagnosis of optic neuritis(ON).Methods A retrospective analysis was conducted on MRI images from 40 patients with sus-pected ON.All patients underwent conventional T2 WI fat suppression(FS)and 3D DIR sequences.The lesion detection rate and diag-nostic accuracy of the intraorbital,intracanalicular,and intracranial segments of the optic nerve were compared between the two sequences,respectively.The receiver operating characteristic(ROC)curves were used to assess the diagnostic performance,and the intraclass correlation coefficient(ICC)were used to analyze interobserver consistency.Imaging assessments were independently performed by two senior and two junior radiologists.Results The sensitivity(SEN),specificity(SPE),and accuracy(ACC)in lesion detection of 3D DIR sequence were significantly better than those of conventional T2 WI FS sequence[odds ratio(OR)221 vs 104,P＜0.001].Notably,3D DIR sequence exhibited superior performance in detecting lesions in the intraorbital segment[area under the curve(AUC)0.915,OR=102]and intracanalicular segment(AUC 0.858,OR=51)compared with conventional T2WI FS sequence.Additionally,3D DIR sequence significantly improved diagnostic consistency among junior radiologists(ICC value increased from 0.469 to 0.655),bring-ing their diagnostic performance closer to that of senior radiologists(AUC improved to 0.883,ACC reached 90.1％).Conclusion The 3D DIR sequence has outstanding diagnostic efficacy in detecting ON lesions,significantly improving ACC and interobserver consistency,thereby offering strong support for the precise diagnosis of ON.

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 This study aims to explore the layout and optimization of management disciplines in"Double First-Class"Traditional Chinese Medicine(TCM)universities,providing talent support and management guidance for the devel-opment of TCM.Methods Based on an overview of the development of management disciplines in TCM universities,six"Doub-le First-Class"TCM universities were selected as research subjects.Data were collected and compared using web retrieval and lit-erature research methods.Results Management disciplines in TCM universities still face challenges,such as weak foundational infrastructure and difficulties in interdisciplinary integration,insufficient faculty and suboptimal curriculum systems,and a single teaching model with a disconnect between theory and practice.Conclusion This paper proposes targeted suggestions and strate-gies for optimizing the layout of management disciplines in TCM universities,including strengthening support for management dis-ciplines and deepening TCM management characteristics,optimizing curriculum design and enhancing faculty resources,and in-novating teaching models to promote the deep integration of theory and practice.

Objective:To study the comprehensive surgical treatment of brucellosis with chest wall cysts as the main manifestation.Methods:Retrospective analysis was made on the general information epidemiological characteristics, clinical manifestations, laboratory examinations, imaging examinations, treatment and outcomes of five patients with brucellosis mainly manifested by chest wall cysts admitted to the 948 Hospital of the People's Liberation Army from July 2019 to June 2022.Results:Among the 5 patients, there were 4 males and 1 female, aged between 23 and 64 years old, with a clear history of contact with cattle and sheep. The main clinical manifestation was painless cystic masses on the chest wall. Both the serum tiger red plate agglutination test (RBPT) and the test tube agglutination test (SAT) were positive. Four cases were infected with Brucella and one case was infected with Actinobacillus pleuropneumoniae (considered as Brucella infection based on the overall condition). All patients exhibited abnormal chest wall signals (manifesting as hypointense on T1-weighted imaging and hyperintense on T2-weighted imaging) on magnetic resonance imaging(MRI), and were ultimately diagnosed with brucellosis presenting predominantly as chest wall cysts. After complete removal of the chest wall cyst through surgery, a combination treatment of rifampicin capsules and doxycycline hyclate tablets was given for 6 weeks. There were no significant adverse reactions and the wound healed in one stage. During the postoperative follow-up period of 11 - 40 months, MRI reexamination demonstrated no evidence of chest wall cyst recurrence, and all SAT results were negative. Conclusions:Patients with brucellosis presenting as chest wall cysts are clinically rare and lack specific symptoms. Surgical resection of the affected lesion combined with early, standardized, combined, and full course antimicrobial therapy results in a good prognosis for the patient.

Objective To evaluate the therapeutic efficacy for surgical treatments among patients with hepatic cystic echinococcosis in Gansu Province from 2006 to 2023, so as to provide insights into optimization of the diagnosis and treatment strategies against hepatic cystic echinococcosis. Methods The demographic and clinical data of all echinococcosis cases included in central government fiscal transfer payment program for echinococcosis control and undergoing surgical treatments in Gansu Province from 2006 to 2023 were captured. Hepatic cystic echinococcosis patients with complete medical records and follow-up data were included in the study, and patients’ characteristics, including hospital where patients received diagnosis and treatment, methods of case identification, year of surgery, classification of lesions, number of lesions, size of lesions, course of disease, surgical methods, and post-surgical follow-up data. The cure and recurrence of hepatic cystic echinococcosis were evaluated according to the Guidelines for Management of Echinococcosis Patients in the Central Government Fiscal Transfer Payment Program, and the cure and recurrent rates were calculated. Results Data were collected from 1 686 surgical patients with hepatic cystic echinococcosis. According to the inclusion and exclusion criteria, 1 222 hepatic cystic echinococcosis patients undergoing surgical treatments were included during the period from 2006 to 2022, including 1 166 cured patients (95.42%) and 88 patients with postsurgical recurrence (7.20%), and the cure rate of surgical treatments appeared a tendency towards a rise among patients with hepatic cystic echinococcosis from 2008 to 2022 (χ²_trend = 19.39, P < 0.05). The cure rates of hepatic cystic echinococcosis were 100% (177/177), 94.81% (128/135) and 94.62% (861/910) among patients detected through regular physical examinations, screened by the central government fiscal transfer payment program for echinococcosis control, and those who passively sought healthcare services, respectively (χ² = 9.95, P < 0.05). The cure rates of hepatic cystic echinococcosis were 95.96% (1 046/1 090) among patients with a disease course of 2 years and less and 90.90% (120/132) among patients with a disease course of over 2 years (χ² = 6.87, P < 0.05), and there were significant differences in the cure rates among patients with hepatic cystic echinococcosis in terms of number of lesions (χ² = 24.44, P < 0.05) and surgical methods (P < 0.05). The cure rate of hepatic cystic echinococcosis patients was significantly higher following initiation of the central government fiscal transfer payment program for echinococcosis control (96.06%, 1 096/1 141) than before the program (86.42%, 70/81) (χ² = 16.06, P < 0.05), and the cure rate of hepatic cystic echinococcosis patients was significantly higher in designated hospitals (96.48%, 741/768) than in non-designated hospitals (93.37%, 366/392) (χ² = 5.78, P < 0.05). The median follow-up period was 4 (interquartile range, 7) years among 1 222 hepatic cystic echinococcosis patients undergoing surgical treatments. The recurrent rate of hepatic cystic echinococcosis appeared a tendency towards a decline from 2008 to 2022 (χ²_trend = 36.86, P < 0.05), with a reduction from 23.08% (9/39) in 2008 to 1.85% (1/54) in 2021, and the post-surgical recurrence rate of hepatic cystic echinococcosis was lower following initiation of the central government fiscal transfer payment program for echinococcosis control (5.87%, 67 / 1 141) than before the program (25.93%, 21/81) (χ² = 45.51, P < 0.05). In addition, the post-surgical recurrence rate of hepatic cystic echinococcosis was higher in non-designated hospitals (10.46%, 41/392) than in designated hospitals (5.60%, 43/768) (χ² = 9.12, P < 0.05), and there was a significant difference in the post-surgical recurrence rate among patients with hepatic cystic echinococcosis in terms of surgical methods (P < 0.05), with the highest recurrence rate (11.54%) seen among patients undergoing percutaneous fine-needle aspiration of cyst fluids-based surgical procedures (P < 0.05). Conclusion Since the initiation of the central government fiscal transfer payment program for echinococcosis control in Gansu Province in 2006, an increase in the surgical cure rate and a reduction in the recurrence of hepatic cystic echinococcosis had been found among patients with hepatic cystic echinococcosis, indicating a high overall therapeutic efficacy.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.