1.Expert consensus on the construction of integrated outpatient clinic for cervical cancer prevention and treatment in General Hospitals
Nan YU ; Dongli KONG ; Lei WANG ; Yihan LU ; Hongbo WANG ; Dongru LIU ; Ling PENG
Journal of Public Health and Preventive Medicine 2026;37(2):1-6
Objective To implement the disease prevention and control strategy of being "proactive and grassroots-focused," and to enhance the overall effectiveness of general hospitals in the tertiary prevention of cervical cancer, this consensus aims to provide an actionable guiding framework for the standardized construction of "Integrated Outpatient Clinics for Cervical Cancer Prevention and Control" in general hospitals at all levels. Methods This consensus systematically elaborates on the specific elements for establishing such integrated clinics and formulates the corresponding standards. Results It is anticipated that the consensus will promote the establishment of standardized, homogeneous, and high-efficiency frontline positions for cervical cancer prevention and control within general hospitals, thereby contributing to the strategic vision of accelerating the elimination of cervical cancer. Conclusion The formulation and promotion of the consensus aim to provide robust clinical practice support for accelerating the realization of China's strategic vision of eliminating cervical cancer.
2.Exploring Mechanism of Action of Tuoli Xiaodu San in Treating Ulcerative Colitis Based on Integrated Pharmacology and Transcriptomics
Longke MA ; Linzhen LI ; Haimei YANG ; Juan WANG ; Xudong WEN ; Yihan MA ; Xiaoxiang WANG ; Fating LU ; Qiaobo YE
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(14):205-215
ObjectiveTo investigate the material basis and mechanism of action of Tuoli Xiaodu San in treating ulcerative colitis (UC) by integrating transcriptomics, network pharmacology, and experimental validation. MethodsNetwork pharmacology was initially employed to screen the active components and potential mechanisms of Tuoli Xiaodu San for treating UC. A UC mouse model was established by dextran sulfate sodium (DSS) induction. The mice were divided into the following groups: normal, model, high-dose (11.3 g·kg-1) Tuoli Xiaodu San, low-dose (5.7 g·kg-1) Tuoli Xiaodu San, and positive control (mesalazine, 0.4 g·kg-1). Intragastric administration commenced on day 1 of modeling and continued for 7 consecutive days. The disease activity index (DAI) was assessed daily. Hematoxylin-eosin (HE) staining was used to observe colonic pathological changes. Serum levels of tumor necrosis factor-alpha (TNF-α), interleukin-1 beta (IL-1β) and interleukin-6 (IL-6) were measured by enzyme-linked immunosorbent assay (ELISA). Transcriptome sequencing was performed on mouse colonic tissues, and the results were integrated with network pharmacology findings for in-depth analysis of Tuoli Xiaodu San's potential mechanisms in treating UC. Finally, the expression of key genes and proteins in the identified signaling pathways were detected using Western blot and Real-time polymerase chain reaction (Real-time PCR). ResultsThe combined analysis of network pharmacology and transcriptomics results showed that the multi-pathway network with phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt) signaling pathway as its core was the key mechanism of Tuoli Xiaodu San in the treatment of UC. Tuoli Xiaodu San administration significantly ameliorated weight loss, diarrhea, and bloody stools in UC mice, reduced the DAI scores (P<0.05, P<0.01), lowered the colonic histopathological scores (P<0.01), alleviated colon shortening (P<0.01), and downregulated serum levels of TNF-α, IL-1β, and IL-6 (P<0.05, P<0.01). Molecular biology experiments confirmed that Tuoli Xiaodu San significantly inhibited the mRNA and protein expression, as well as the phosphorylation levels, of PI3K, Akt, and p65 in colonic tissues (P<0.05, P<0.01). ConclusionTuoli Xiaodu San can regulate the multi-pathway network with PI3K/Akt as its core through multi-component synergy, thereby reducing colonic inflammatory damage and exerting a therapeutic effect on UC.
3.Epidemiological characteristics of other infectious diarrheal diseases and their pathogens in Yangpu District of Shanghai from 2005 to 2024
Shen CAO ; Lu ZHOU ; Qiaoli SUN ; Zhengxi ZHANG ; Zhiping XIAO ; Yihan LU
Shanghai Journal of Preventive Medicine 2026;38(6):432-439
ObjectiveTo elucidate the epidemiological characteristics, evolution of the pathogen spectrum, and spatial distribution patterns of other infectious diarrheal diseases (excluding cholera, typhoid fever, paratyphoid fever, and bacillary dysentery) in Yangpu District of Shanghai from 2005 to 2024, thereby providing a scientific basis for the formulation of targeted prevention and control strategies. MethodsInformation on other infectious diarrhea cases with a current address in Yangpu District of Shanghai, and onset dates from January 1, 2005 to December 31, 2024, was extracted from the Chinese Center for Disease Control and Prevention Information System. Data on cases, including gender, age, occupation, and pathogen testing results, were collected. Descriptive epidemiological methods were employed to analyze the temporal, spatial, and demographic distribution of reported incidence rates and the epidemiological characteristics of pathogens for other infectious diarrheal diseases in Yangpu District from 2005 to 2024. Spatial autocorrelation analyses of reported incidence rates for viral and bacterial diarrhea were conducted using Moran’s Index (Moran’s I). Local spatial autocorrelation analyses were performed using local indicators of spatial association (LISA), with a first-order Queen contiguity spatial weight matrix, and significance was tested via 999 random permutations. Time-series and radar chart analyses were used to examine the temporal patterns of other infectious diarrhea cases caused by major pathogens. ResultsFrom 2005 to 2024, a total of 5 211 cases of other infectious diarrhea were reported in Yangpu District. The cases were predominantly males (2 714 cases, accounting for 52.08%) and children under 5 years of age (1 639 cases, accounting for 31.45%). The primary occupational groups were scattered children (1 433 cases, accounting for 27.50%) and retired personnel (1 403 cases, accounting for 26.92%). The annual average reported incidence rate was 20.36/100 000, showing an overall fluctuating trend with peaks around 2009 and 2024. Peak incidence occurred in summer and autumn (July‒September), with the highest reported incidence rate observed in summer (June‒August) (7.31/100 000). Children under 5 years of age (116.00/100 000) and adults aged 60 and older (21.39/100 000) were the top two age groups in terms of reported incidence. Global spatial autocorrelation analyses showed that the reported incidence rates of viral diarrhea across the sub-districts in Yangpu District in 2020 exhibited a significant positive spatial correlation (Moran’s I =0.30, P=0.016). The spatial autocorrelation of reported incidence rates of viral diarrhea in each sub-district for the periods 2008‒2019 and 2021‒2024 was not statistically significant (all P>0.05). Local spatial autocorrelation analyses of viral diarrhea incidence in 2020 revealed that Xinjiangwancheng Sub-district exhibited a low‑low clustering trend (local Moran’s I =0.49, P=0.018), while Dinghai Road Sub-district exhibited a high‑high clustering trend (local Moran’s I =1.33, P=0.024). The global spatial autocorrelation of reported incidence rates of bacterial diarrhea across the sub-districts of Yangpu District from 2005 to 2024 was not statistically significant (all P>0.05). Among the 5 211 cases, 4 049 had definitive pathogen test results. Bacterial diarrhea accounted for a relatively high proportion (55.52%, 2 248/4 049). The pathogens with the highest proportions were rotavirus (32.33%, 1 309/4 049), Vibrio spp. (31.69%, 1 283/4 049), Salmonella spp. (19.63%, 795/4 049), and norovirus (9.16%, 371/4 049). The radar chart showed that diarrhea cases caused by norovirus had no obvious seasonality, rotavirus cases were mainly concentrated in winter, and cases caused by Salmonella spp. and Vibrio spp. were mainly concentrated in summer and autumn. Among cases under 20 years of age, rotavirus accounted for a relatively high proportion, especially in children under 5 years of age. Among cases aged 20 years and older, Vibrio spp. and Salmonella spp. accounted for relatively high proportions. ConclusionFrom 2005 to 2024, other infectious diarrhea in Yangpu District of Shanghai was most prevalent in summer and autumn. Children under 5 years of age and adults aged 60 years and older were high-risk groups. In 2020, Dinghai Road Sub-district was a high-risk area for viral diarrhea. Rotavirus, Vibrio spp., Salmonella spp., and norovirus were the dominant pathogens. Prevention and control efforts for other infectious diarrhea should be strengthened among key populations (e.g., children under 5 years of age and adults aged 60 years and older) and in high-risk areas such as Dinghai Road Sub-district. During summer and autumn, priority should be given to the prevention and control of bacterial diarrhea caused by Salmonella spp. and Vibrio spp., especially among individuals aged 20 years and older (particularly those aged 60 and above). During winter, priority should be given to the prevention and control of diarrhea caused by rotavirus infection among individuals under 20 years of age, particularly children under 5 years of age.
4.Association between incidence of hand-foot-mouth disease and meteorological factors
YANG Ya ; FEI Jie ; YANG Yiwei ; ZHANG Bing ; ZHANG Qian ; LU Yihan
Journal of Preventive Medicine 2025;37(4):346-349,355
Objective:
To examine the association between incidence of hand-foot-mouth disease (HFMD) and meteorological factors, so as to provide the basis for the prevention and control of HFMD.
Methods:
The number of HFMD cases in Jiading District, Shanghai Municipality from 2016 to 2023 were collected through the Chinese Disease Prevention and Control Information System, and meteorological data were obtained from the Shanghai Meteorological Bureau. The associations of daily average temperature, daily average relative humidity, and daily average atmospheric pressure with the daily number of HFMD cases were analyzed using a distributed lag non-linear model (DLNM).
Results:
A total of 21 555 HFMD cases were reported in Jiading District from 2016 to 2023, with an average annual incidence of 132.57/100 000. There were 12 762 male cases (59.21%) and 8 793 female cases (40.79%). The main peak of incidence occurred from June to August, and the secondary peak was from October to December. DLNM analysis showed that the incidence risk of HFMD first increased and then decreased with the increase of daily average temperature, and first decreased and then increased with the prolongation of the lag time. The cumulative lag risk was higher when the daily average temperature ranged from 18.4 to 35.1 ℃, and the maximum cumulative lag effect was observed at 27.8 ℃ (RR=5.522, 95%CI: 4.751-6.370). The incidence risk of HFMD first increased and then decreased with the increase of daily average relative humidity, and first decreased, then increased and then decreased again with the prolongation of the lag time. The cumulative lag risk was higher when the daily average relative humidity ranged from 71.7% and 90.8%, and the maximum cumulative lag effect was observed at 81.8% (RR=1.603, 95%CI: 1.321-1.995). The incidence risk of HFMD decreased with the increase of daily average atmospheric pressure, and decreased with the prolongation of the lag time when the daily average atmospheric pressure was greater than 1 015.80 hPa. When the daily average atmospheric pressure was less than 1 015.80 hPa, the incidence risk of HFMD increased with the prolongation of the lag time. The maximum cumulative lag effect was observed at 986.80 hPa (RR=8.513, 95%CI: 1.401-36.625).
Conclusion
The incidence risk of HFMD in Jiading District initially increases and then decreases with increasing temperature and relative humidity, while it decreases with increasing atmospheric pressure, and these effects exhibit a lagged response.
5.Imaging poly(ADP-ribose) polymerase-1 (PARP1) in vivo with 18F-labeled brain penetrant positron emission tomography (PET) ligand.
Xin ZHOU ; Jiahui CHEN ; Jimmy S PATEL ; Wenqing RAN ; Yinlong LI ; Richard S VAN ; Mostafa M H IBRAHIM ; Chunyu ZHAO ; Yabiao GAO ; Jian RONG ; Ahmad F CHAUDHARY ; Guocong LI ; Junqi HU ; April T DAVENPORT ; James B DAUNAIS ; Yihan SHAO ; Chongzhao RAN ; Thomas L COLLIER ; Achi HAIDER ; David M SCHUSTER ; Allan I LEVEY ; Lu WANG ; Gabriel CORFAS ; Steven H LIANG
Acta Pharmaceutica Sinica B 2025;15(10):5036-5049
Poly(ADP-ribose) polymerase 1 (PARP1) is a multifunctional protein involved in diverse cellular functions, notably DNA damage repair. Pharmacological inhibition of PARP1 has therapeutic benefits for various pathologies. Despite the increased use of PARP inhibitors, challenges persist in achieving PARP1 selectivity and effective blood-brain barrier (BBB) penetration. The development of a PARP1-specific positron emission tomography (PET) radioligand is crucial for understanding disease biology and performing target occupancy studies, which may aid in the development of PARP1-specific inhibitors. In this study, we leverage the recently identified PARP1 inhibitor, AZD9574, to introduce the design and development of its 18F-isotopologue ([18F]AZD9574). Our comprehensive approach, encompassing pharmacological, cellular, autoradiographic, and in vivo PET imaging evaluations in non-human primates, demonstrates the capacity of [18F]AZD9574 to specifically bind to PARP1 and to successfully penetrate the BBB. These findings position [18F]AZD9574 as a viable molecular imaging tool, poised to facilitate the exploration of pathophysiological changes in PARP1 tissue abundance across various diseases.
6.A flavin-containing monooxygenase from Schizosaccharomyces pombe: characterization and application in the synthesis of S-methyl-L-cysteine sulfoxide.
Mengka LIAN ; Zhaolin SONG ; Wenjing GAO ; Gang ZHU ; Mengjun DONG ; Yu LI ; Yihan LIU ; Fenghua WANG ; Fuping LU
Chinese Journal of Biotechnology 2025;41(1):474-485
S-methyl-L-cysteine sulfoxide (SMCO) is a non-protein sulfur-containing amino acid with a variety of functions. There are few reports on the enzymes catalyzing the biosynthesis of SMCO from S-methyl-L-cysteine (SMC). In this study, the flavin-containing monooxygenase gene derived from Schizosaccharomyces pombe (spfmo) was heterologously expressed in Escherichia coli BL21(DE3) and the enzymatic properties of the expressed protein were analyzed. The optimum catalytic conditions of the recombinant SpFMO were 30 ℃ and pH 8.0, under which the enzyme activity reached 72.77 U/g. An appropriate amount of Mg2+ improved the enzyme activity. The enzyme kinetic analysis showed that the Km and kcat/Km of SpFMO on the substrate SMC were 23.89 μmol/L and 61.71 L/(min·mmol), respectively. Under the optimal reaction conditions, the yield of SMCO synthesized from SMC catalyzed by SpFMO was 12.31% within 9 h. This study provides reference for the enzymatic synthesis of SMCO.
Schizosaccharomyces/genetics*
;
Escherichia coli/metabolism*
;
Recombinant Proteins/metabolism*
;
Cysteine/biosynthesis*
;
Mixed Function Oxygenases/metabolism*
;
Schizosaccharomyces pombe Proteins/metabolism*
;
Oxygenases/metabolism*
;
Kinetics
7.Ultrasound radiomics combined with machine learning for early diagnosis of seronegative hashimoto’s thyroiditis
Wenjun WU ; Chang LIU ; Shengsheng YAO ; Daming LIU ; Yuan LUO ; Yihan SUN ; Ting RUAN ; Mengyou LIU ; Li SHI ; Mingming XIAO ; Qi ZHANG ; Zhengshuai LIU ; Xingai JU ; Jiahao WANG ; Xiang FEI ; Li LU ; Yang GAO ; Ying ZHANG ; Liying GONG ; Xuanyu CHEN ; Wanli ZHENG ; Xiali NIU ; Xiao YANG ; Huimei CAO ; Shijie CHANG ; Zuoxin MA ; Jianchun CUI
Chinese Journal of Endocrine Surgery 2025;19(3):313-319
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.
8.Panoramic and local histological observations of biotinylated dextran amine neural tracer labeling in the motor cortex of rat brain
Jiaying LU ; Dongsheng XU ; Jingjing CUI ; Yuqing WANG ; Yuxin SU ; Yihan LIU ; Jia WANG ; Wanzhu BAI
Journal of Capital Medical University 2025;46(1):83-90
Objective To reveal the detailed histological characteristics of pyramidal neuron cell bodies and their axonal projections along the corticospinal tract in the primary motor cortex(M1)of the brain,by using the biotinylated dextran amine(BDA)neural tracing technique combined with panoramic and local microscopic imaging technologies.Methods A total of 100 nL of 10%BDA(10,000 molecular weight)was injected into M1 region using stereotaxic system.The distribution of BDA labeling along the corticospinal tract was continuously tracked with panoramic tissue scanning analysis system.Detailed observations of the histological characteristics of BDA labeling were carried out with laser confocal microscope.Results It is more convenient to observe the overall distribution of BDA neural labeling by using the panoramic tissue scanning analysis system.Around the injection site in M1,the BDA labeling was shown in the somas of pyramidal neurons in layer V.In the M1 region corresponding to the contralateral site of the injection site and ipsilateral primary sensory cortex,BDA showed predominantly the anterograde labeled nerve fibers accompanied by a few retrograde labeled neurons.Besides,BDA labeled nerve fibers-including bundles and terminals-projecting to regions such as the ipsilateral striatum,thalamus,internal capsule,cerebral peduncle,and pons,and further reaching the contralateral spinal cord via the brainstem pyramidal decussation.Confocal microscopy and its 3D reconstruction system facilitated detailed analysis of the local microscopic features of BDA labeling,revealing retrograde labeled neuron cell bodies,dendrites and their spines,as well as anterograde labeled nerve fibers and their terminals.Conclusions These findings demonstrated that the integration of traditional BDA neural tracing with panoramic tissue scanning analysis and confocal microscopy provided an effective approach to the observation and analysis of long-projection neural circuits from panoramic to local perspectives,with broad application prospects.
9.Yiqi-Yangyin-Quyu prescription attenuates skeletal muscle injury and related metabolic disorders in mice with Sj?gren syndrome by targeting Hadhb
Ting ZHAO ; Yue SHEN ; Wenyue JIAO ; Xinyi YAO ; Dingqi LU ; Yating REN ; Liying CHEN ; Yihan WANG ; Wenhan HUANG ; Runrun ZHANG ; Xinchang WANG
Chinese Journal of Pathophysiology 2025;41(9):1793-1806
AIM:The aim of this study was to explore the effects of Yiqi-Yangyin-Quyu prescription(YP)on skeletal muscle injury and related metabolic disorders in mice with Sj?gren syndrome(SS),and to clarify the role of hy-droxyacyl-CoA dehydrogenase trifunctional multienzyme complex subunit beta(Hadhb)in mediating the effect of YP on skeletal muscle in SS.METHODS:The SS mice underwent YP treatment for 8 weeks.The morphological changes of the submandibular gland and muscle tissue were examined using hematoxylin-eosin staining.The mitochondrial status in mus-cle tissue was assessed through transmission electron microscopy.Additionally,combined transcriptome and proteome se-quencing was conducted on skeletal muscle samples.The omics sequencing results were validated by RT-qPCR.Immuno-fluorescence was used to confirm the levels of key proteins involved in the P53/peroxisome proliferator-activated receptor gamma(PPARG)signaling pathway.Immunohistochemistry and Western blot were employed to determine the levels of Hadhb key targets.RESULTS:Combined transcriptome and proteome analysis identified 1 523 differentially expressed genes(DEGs)and 182 differentially expressed proteins(DEPs)between the muscle tissue of SS mice(model group)and that of control animals(ICR group),12 of which showed co-differential expression at both transcriptomic and proteomic levels.Compared with model group,1 232 genes and 432 proteins were found to be differentially expressed in the muscle tissue of the mice in YP group.Among these,23 exhibited co-differential expression at both mRNA and protein levels.Gene Ontology(GO)analysis showed that the DEGs and DEPs between ICR and model groups were mainly involved in ener-gy metabolism and fatty acid oxidation,while the DEGs and DEPs between YP and model groups were primarily associated with sarcomere tissue and actin structure.Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis indi-cated that the DEGs and DEPs between ICR and model groups and between model and YP groups were enriched in the com-plement and coagulation cascade and lipid and pyruvate metabolism.The RT-qPCR validation results were consistent with those of the transcriptome analysis.Furthermore,the protein expression of the tumor suppressor P53 was significantly de-creased in YP group compared with model group,whereas that of PPARG was significantly increased.Western blot analy-sis showed that compared with ICR group,Hadhb protein expression was significantly decreased in model group,whereas the opposite trend was detected in YP group.CONCLUSION:The SS-related skeletal muscle damage is closely related to amino acid metabolism disorder and fatty acid degradation.Treatment with YP modulates innate immune defenses,lipid metabolism and energy metabolism in SS,and Hadhb is the key target of YP in SS-related skeletal muscle.
10.Ultrasound radiomics combined with machine learning for early diagnosis of seronegative hashimoto’s thyroiditis
Wenjun WU ; Chang LIU ; Shengsheng YAO ; Daming LIU ; Yuan LUO ; Yihan SUN ; Ting RUAN ; Mengyou LIU ; Li SHI ; Mingming XIAO ; Qi ZHANG ; Zhengshuai LIU ; Xingai JU ; Jiahao WANG ; Xiang FEI ; Li LU ; Yang GAO ; Ying ZHANG ; Liying GONG ; Xuanyu CHEN ; Wanli ZHENG ; Xiali NIU ; Xiao YANG ; Huimei CAO ; Shijie CHANG ; Zuoxin MA ; Jianchun CUI
Chinese Journal of Endocrine Surgery 2025;19(3):313-319
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.


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