ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

To analyze global trends and research hotspots in exercise intervention for overweight and obesity from 2010 to 2024, to provide novel perspectives for comprehensive management research on overweight and obesity.

AIM To evaluate the quality of Gegen Formula Granules.METHODS Linear calibration with two reference substances(LCTRS)was adopted in the predicting of retention time with puerarin and daidzein as internal standards.UPLC characteristic chromatograms were established.The contents of 3'-hydroxy puerarin,puerarin(internal standard),3'-methoxy puerarin,puerarin 6"-O-xyloside,puerarin apioside and daidzin were determined by quantitative determination analysis multi-components by a single marker(QAMS),after which their transfer rates were calculated.RESULTS Compared with relative retention time method,LCTRS demonstrated higher positional accuracy for characteristic peaks and wider application range for columns.There were 9 characteristic peaks in the characteristic chromatograms for 14 batches of formula granules and 15 batches of standard decoctions with the similarities of more than 0.95.The contents and transfer rates of various constituents in formula granules and standard decoctions were basically consistent.CONCLUSION The chemical constituents in formula granules and their standard decoctions of Puerariae lobatae Radix display good consistency,reliable preparation process is observable in the former.

OBJECTIVE To investigate the auditory characteristics of patients with congenital unilateral cochlear nerve deficiency(CND).METHODS This study enrolled 21 patients(21 ears)with unilateral auditory nerve dysplasia confirmed by inner ear MRI,including 9 males and 12 females,aged 10 months to 7 years,(1.91±1.38)years.A retrospective analysis was performed on the correlation between behavioral audiometry and auditory steady-state response(ASSR)thresholds,chirp-evoked auditory brainstem response(chirp-ABR),otoacoustic emission(OAE),and other results to analyze the audiological characteristics of unilateral auditory nerve dysplasia.RESULTS In all 21 patients(21 ears)with auditory nerve dysplasia,behavioral audiometry,chirp-ABR,and ASSR results all indicated severe to profound hearing loss in the affected ears.There was a high correlation between behavioral audiometry thresholds and ASSR thresholds,with small differences observed between ASSR and behavioral audiometry results.CONCLUSION The difference between ASSR and behavioral audiometry is small in patients with CND.A-ABR can't be elicited.OAE has a certain false negative rate.The ABR often predominantly shows wave III,with prolonged latency,and a threshold indicative of profound hearing loss.These audiological characteristics can improve the early detection and diagnosis of CND and enhance the effect of intervention.

Objective To investigate the causal relationship between abnormal placental lipid metabolism and trophoblast dysfunction in patients with preeclampsia(PE),and to explore the regulatory effects of PPARγ on trophoblast function under hypoxic conditions.Methods Placental tissues were collected from 30 patients with PE and 30 individuals with normal pregnancies at the General Hospital of Ningxia Medical University between October 2020 and November 2021 for the analysis of lipid deposition.A rat model of PE was established,comprising a sham-operated(Sham)group and a reduced uterine perfusion pressure(Rupp)group,with six rats in each group(n=12 total).Human trophoblast cells(HTR-8/SVneo)were cultured in vitro and randomly assigned to four experimental groups:normoxic control,hypoxia,hypoxia+PPARγ agonist(Rosiglitazone),and hypoxia+PPARγ antagonist(T0070907).The expression levels of lipid metabolism-related genes and transcription factors(FASN,FABP4,PPARγ,LXRα)were assessed using RT-qPCR.Western blotting was performed to determine the protein expression levels of PPARγ.Cell migration and invasion capacities were evaluated using scratch wound healing and Transwell assays,respectively.Results Placental lipid deposition in the PE group was significantly higher than that in the control group,particularly in the Rupp model mice(P<0.001).Under hypoxic conditions,the expression levels of FASN and FABP4 were upregulated in trophoblast cells(P<0.001),whereas the expression of PPARγ and LXRα was downregulated(P<0.001).Furthermore,treatment with the PPARγ antagonist T0070907 exacerbated the inhibitory effects of hypoxia on cell function(P<0.001),significantly reducing cell invasion and migration capacity(P<0.001).Additional siRNA-mediated knockdown experiments confirmed that PPARγ deficiency further aggravated hypoxia-induced impairments in cell migration and invasion,and this detrimental effect could not be reversed by Rosiglitazone.Conclusions Abnormal placental lipid metabolism in PE is closely linked to PPARγ-mediated enhancement of lipid synthesis and metabolic dysregulation under hypoxic conditions,which may subsequently impair trophoblast invasion and migration.

Purpose To evaluate the value of preoperative MRI-based radiomic models for assessing tumor-infiltrating CD8+T-cell expression in glioblastoma patients,and to identify the most stable and efficient radiomic feature region for predicting prognosis following immunotherapy.Materials and Methods This retrospective study included 150 patients with histopathologically confirmed glioblastoma from Lanzhou University Second Hospital(January 2018 to April 2022).Tumor-infiltrating CD8+T-cell expression was quantitatively assessed using immunohistochemical staining,with patients stratified into CD8-high and CD8-low expression groups based on overall survival.A total of 1 185 radiomic features were extracted from each patient's contrast-enhanced T1C and T2WI images,covering the original tumor region and sequentially expanded peritumoral regions(2.5 mm,5.0 mm,7.5 mm,10.0 mm,12.5 mm,15.0 mm morphological dilation of tumor core+peritumoral area).Feature selection was performed using variance threshold,minimum redundancy maximum relevance,and least absolute shrinkage and selection operator methods.XGBoost classifier was employed to construct clinical,radiomic,and clinical-radiomic multimodal combined prediction models.Diagnostic performance was evaluated using receiver operating characteristic curve analysis.Results The radiomic model based on tumor expansion of 7.5 mm(tumor+peritumoral region)demonstrated optimal predictive performance.The clinical-radiomic multimodal combined model showed superior predictive capability compared to clinical and radiomic models alone,achieving an area under the curve of 0.991 and accuracy of 99.0%in the training set,and area under the curve of 0.840 with accuracy of 80.0%in the validation set.Conclusion MRI radiomics provides a feasible approach for evaluating tumor-infiltrating CD8+T-cell expression in glioblastoma patients,offering potential for preoperative prognosis prediction.

Objective:To explore the risk factors for recurrence of thyroid cancer after radical resection via areola endoscopy,and to construct a visual risk prediction model.Methods:The clinical data of 350 thyroid cancer patients who underwent radical surgery via areola endoscopy in our hospital from January 2016 to October 2018 were retro-spectively analyzed,and they were randomly divided into the modeling group(233 cases)and the internal validation group(117 cases)in a 2:1 ratio.All patients were followed up for 3 years after surgery,and the patients of modeling group were further divided into recurrent group(51)and non recurrent group(182)according to whether they with or not recurrence.Another 163 patients with thyroid cancer who underwent laparoscopic radical mastectomy at our hos-pital from January 2019 to May 2020 were selected as the external validation group.The risk factors for recurrence of thyroid cancer after radical surgery via areola endoscopy was analyzed by using Cox regression method,and a risk prediction nomogram model was established based on this.Internal validation of the nomogram model was conducted by using the Bootstrap method,and the calibration,predictive efficacy and clinical net benefit of the nomogram model were evaluated by the calibration curve,receiver operating characteristic(ROC)curve and decision curve analysis(DCA).The external validation group data was used for external validation.Results:The recurrence rate of thyroid cancer patients after 5 years of radical surgery via areola endoscopy was 21.64％(111/513).The proportions of multiple le-sions,preoperative lymph node metastasis,TNM stages Ⅲ-Ⅳ and maximum tumor diameter,the levels of thyro-globulin(TG),triiodothyronine(T3),thyroxine(T4),free triiodothyronine(FT3),free thyroxine(FT4)and thyroid stimulating hormone(TSH)in the recurrence group were higher than those in the non recurrence group(P<0.05).The Cox regres-sion analysis results showed that the maximum tumor diameter,multiple lesions,preoperative lymph node metasta-sis,TNM stage Ⅲ-Ⅳ and TG,T3,T4,FT3,FT4 and TSH levels were all risk factors for recurrence of thyroid cancer after radical surgery via areola endoscopy(P<0.05).The risk prediction nomogram model of recurrence of thyroid cancer af-ter radical surgery under areola endoscopy was constructed based on the above influencing factors.After internal and external validation,the consistency indices of the modeling group,internal verification group and external verification group were 0.832,0.825 and 0.41 respectively,and the calibration curves of three groups were close to the standard curve.The ROC curve analysis and verification showed that the area under the curve predicted by the nomogram model of the modeling group,internal verification group and external verification group were 0.859,0.847 and 0.853 respectively.The DCA curve showed that the nomogram model had good clinical net benefits when the threshold probability of the modeling group,internal verification group and external verification group were 0.03-0.82,0.02-0.78 and 0.06-0.88 respectively.Conclusion:The maximum tumor diameter,multiple lesions,preoperative lymph node metastasis,TNM staging stage Ⅲ-Ⅳ and levels of TG,T3,T4,FT3,FT4 and TSH are all risk factors for recurrence of thy-roid cancer after radical surgery via areola endoscopy,and the risk prediction visualization nomogram model con-structed based on this is helpful for clinical screening of high-risk patients to guide early intervention and reduce the risk of recurrence.

Objective:To explore the structural relationship between WMSDs in the upper limbs and various risk factors in the occupational population in China, based on a large sample epidemiological survey and structural equation analysis, and to establish a structural equation model, so as to lay a foundation for the prevention and control of such diseases.Methods:The Chinese version of the Musculoskeletal Disorders Electronic Questionnaire was used to conduct a nationwide survey on the prevalence of WMSDs in the upper extremity. Six factors related to WMSDs in the upper extremity were extracted by the classification standard of adverse ergonomic factors and their source and confirmatory factor analysis, including work organization, work type, upper extremity work posture, individual factors, upper extremity fatigue and upper extremity WMSDs. The structural equation analysis was carried out and the structural equation model was established.Results:The incidence of WMSDs and fatigue in the upper limbs was 24.44% and 43.76%, respectively. The adjusted structural equation model fitting indicators were generally up to the standard (GFI=1.000, AGFI=1.000, RMSEA=0.043, NFI=0.808, TLI=0.784) . The four exogenous latent variables of work organization, work type, upper limb work posture and individual factors were correlated. There was a strong positive correlation between job type and upper limb work posture ( r=0.865) , a moderate positive correlation between work organization and job type and upper limb work posture ( r=0.570, 0.490) , and a weak negative correlation between individual factors and the other three exogenous latent variables. Upper limb work posture and individual factors had direct effects on upper limb WMSDs, and the effect coefficients were 0.10 and 0.06, respectively. Upper limb fatigue played a mediating role between work organization, work type, upper limb work posture and upper limb WMSDs. The effect coefficient was 0.46, and the composition ratios of indirect effects were 100.0%, 100.0%, and 38.3%, respectively. The direct path effect of upper limb work posture, individual factors and upper limb WMSDs was weaker than the mediating path through upper limb fatigue. Conclusion:When carrying out the prevention and control of upper limbWMSDs, it is necessary to comprehensively consider the pathogenesis path of upper limb muscle fatigue and upper limb WMSDs caused by work organization, work type, and upper limb work posture, so as to provide theoretical reference for improving the prevention and control level of such diseases.

Objective:To explore the clinical characteristics and prognostic factors of patients with extranasal NK/T-cell lymphoma(NKTCL).Methods:The clinical data of 138 patients with NKTCL diagnosed in 10 medical centers of Huaihai Lymphoma Working Group from June 2015 to April 2021 were collected and analyzed retrospectively.The differences in clinicopathological characteristics of patients with different involvement and efficacy of pegaspargase regimen were compared,as well as perform survival analysis.Results:A total of 138 extranasal NKTCL patients were included,with a median age of 46 years,and the ratio of males to females was approximately 2∶1.There were 39 patients with gastrointestinal involvement,32 patients with oropharyngeal involvement,17 patients with skin involvement,11 patients with lymph node involvement,11 patients with orbital involvement,and 28 patients with other parts involvement.Patients with skin involvement had a higher proportion of advanced disease and a lower proportion of CD56 positive rate compared to those with oropharyngeal involvement.Among the patients with gastrointestinal involvement,the survival rate of patients who received pegaspargase regimen was significantly higher than those who were treated without pegaspargase(P＜0.01).Multivariate analysis showed that serum creatinine was an independent prognostic factor for patients with skin involvement(HR=1.027,95％CI:1.001-1.054,P=0.040),ECOG PS and EBV DNA were independent prognostic factors for patients with gastrointestinal involvement(HR=2.635,95％CI:1.096-6.338,P=0.030;HR=4.772,95％CI:1.092-20.854,P=0.038),and ECOG PS and CA stage were independent prognostic factors for patients with oropharyngeal involvement(HR=13.875,95％CI:2.517-76.496,P=0.002;HR=20.261,95％CI:2.466-166.470,P=0.005).Conclusion:The clinicopathological characteristics of extranasal NKTCL patients with different sites of involvement are vary,and effective individualized treatment need to be further explored.