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.

Objective To analyze the relationship between the expression of ferroptosis markers in the tumor microenvironment(TME)and the prognosis of transcatheter arterial chemoembolization(TACE)for hepatocellular carcinoma(HCC).Methods This prospective observational study included 100 HCC patients who received TACE treatment at Langfang Hospital of Traditional Chinese Medicine from March 2019 to June 2021 as the study subjects.The levels of 8-isoprostaglandin F2α(8-iso-PGF2α),4-hydroxy-2-nonenal(4-HNE),8-hydroxy-2'deoxyguanosine(8-OH-dG)and hepcidin in plasma were evaluated by ELISA kit at baseline(1 day before TACE),1 day after TACE and 4～8 weeks.The changes of ferroptosis related markers during TACE treatment were compared.The difference between the level of 8-iso-PGF2α,4-HNE and the baseline 1 day after TACE treatment was recorded as △8-iso-PGF2α,△4-HNE.Results Compared with the baseline,the levels of 8-iso-PGF2α and 4-HNE increased significantly and the level of hepcidin decreased significantly one day after TACE treatment,and the differences were statistically significant(t=8.03,16.29,2.92,all P<0.05).Compared with 1 day after treatment,the levels of 8-iso-PGF2α,4-HNE decreased and the level of 8-OH-dG increased at 4～8 weeks after TACE treatment,and the differences were statistically significant(t=9.12,17.17,2.63,all P<0.05).Multivariate COX analysis showed that △8-iso-PGF2α,△4-HNE and 8-iso-PGF2α 1 day after TACE treatment were independent factors affecting the overall survival after TACE(Wald χ2=5.205,13.801,6.054,all P<0.05).The survival time of patients with △4-HNE>2.01 μg/ml was significantly longer than that of patients with △4-HNE≤2.01 μg/ml(Log-rank=5.718,P=0.017),and that of patients with△8-iso-PGF2α>1.75ng/ml was sig-nificantly longer than that of patients with△8-iso-PGF2≤1.75ng/ml(Log-rank=4.163,P=0.041).Conclusion The prognosis of HCC patients who are in a state of high ferroptosis(4-HNE and 8-iso-PGF2 increased)at 1 day after TACE treatment is better,which indicate that ferroptosis mediated HCC death induced by TACE treatment.

Objective:To explore the therapeutic mechanism of moxibustion in Crohn disease(CD)-associated intestinal fibrosis by observing its effects on the angiotensin-converting enzyme(ACE)/angiotensin Ⅱ(Ang Ⅱ)/angiotensin Ⅱ type 1 receptor(AT1R)axis in CD mouse models.Methods:Six randomly selected male C57BL/6 mice were assigned to a normal group,while the remaining mice were administered 0.1 mL of 2,4,6-trinitrobenzene sulfonic acid via enema to establish a CD intestinal fibrosis model.After successful modeling,the mice were randomly divided into a model group,a moxibustion group,and a Western medication group,with 6 rats in each group.The normal group and the model group only received grabbing without intervention.In the moxibustion group,mild moxibustion was applied to Qihai(CV6)and bilateral Tianshu(ST25)once a day for 10 min each time over 7 consecutive days.The Western medication group was administered mesalazine suspension via oral gavage once a day for 7 consecutive days.At the end of the intervention,the general condition,disease activity index(DAI)score,and gross colon score of mice in each group were evaluated.Hematoxylin-eosin staining was used to observe and score the histological changes in the colon tissue in each group.Masson staining was used to observe colonic fibrosis and the ratio of collagen-positive areas was analyzed;the expression of Ang Ⅱ in the colon tissue was detected by the enzyme-linked immunosorbent assay;immunohistochemistry and real-time quantitative reverse transcription polymerase chain reaction were used to detect the protein and mRNA expression of ACE and AT1R in the colon tissue,respectively;Western blotting was used to detect the expression of transforming growth factor(TGF)-β1 and connective tissue growth factor(CTGF)in the colon tissue.Results:Compared to the normal group,the DAI score,gross colon score,colonic histological score,collagen-positive area ratio,ACE protein and mRNA,Ang Ⅱ protein,AT1R protein and mRNA,TGF-β1 protein,and CTGF protein in the colon tissue in the model group increased significantly(P<0.01).In contrast,the above indicators in both the moxibustion group and the Western medication group reduced significantly compared to the model group(P<0.01 or P<0.05).There was no statistical difference in these indicators between the moxibustion group and the Western medication group(P>0.05).Conclusion:Moxibustion can alleviate intestinal fibrosis in CD mice,and its therapeutic mechanism may be associated with the regulation of colonic ACE/AngⅡ/AT1R axis.

BACKGROUND:Developmental dysplasia of hip causes groin pain in patients with prolonged activity or standing due to the presence of deformities of the acetabulum and femoral head in terms of structure,size and orientation,and if not effectively treated,patients' normal activities will be severely limited.OBJECTIVE:Finite element model of the hip joint of solid-liquid biphase fiber reinforced cartilage based on FEBio was established to explore the biomechanical properties of the cartilage for patients with developmental dysplasia of hip and the normal hip joint.METHODS:A patient with developmental dysplasia of hip and a normal volunteer were chosen to build their left hip models including left pelvis,left femur,and cartilage attached thereto. The solid-liquid biphase fiber reinforced cartilage of normal hip was verified to be effective. The cartilage equal contact stress,fluid pressure,solid effective stress,and fluid support rate differences between the developmental dysplasia of hip patients hip and the normal one in the case of one leg of static load (2130 N) were compared after establishing finite element models of developmental dysplasia of hip patients.RESULTS AND CONCLUSION:(1) Compared with the finite element results of the normal hip model,the cartilage contact position of developmental hip dysplasia patient hip showed obvious edge contact,the peak contact stress (3.86 Mpa) and peak fluid pressure (3.76 Mpa) were both higher than normal hip model. (2) After 1500 s (stable load-bearing capacity),peak contact stress and peak fluid pressure in both models decreased,but the cartilage contact position of developmental hip dysplasia patient hip moved from the edge of cartilage to the center,and fluid support rate decreased from 97.41％ to 91.08％. The fluid support rate in normal hip was decreased by 0.58％ from 95.24％ to 94.66％. (3) It is indicated that under the physiological load of standing on one leg,the cartilage of developmental dysplasia of hip patients showed obvious edge load,and the decrease of peak contact stress,fluid pressure,and fluid formation rate was greater than that of normal cartilage. Considering the solid-liquid biphasic fiber reinforcement characteristics of cartilage,it is of great clinical significance to evaluate the biomechanical properties of hip cartilage in developmental dysplasia of hip patients,to understand the pathophysiological mechanism of developmental dysplasia of hip,and make preoperative plan.

Objective:To analyze the predictive value of residual lipoprotein cholesterol (RLP-C) combined with three-dimensional spot tracking (3D-STE) technology for myocardial ischemia in patients with coronary heart disease (CHD).Methods:A total of 158 patients with suspected CHD myocardial ischemia admitted to the First Affiliated Hospital of Xi′an Jiaotong University from March 2021 to August 2023 were selected and divided into the observation group (patients with myocardial ischemia) and the control group (patients with non-myocardial ischemia) according to the results of coronary angiography (CAG). The levels of low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and total cholesterol (TC) of the patients were detected by the fully automatic biochemical analyzer, and the level of RLP-C was calculated. The 3D-STE technique was adopted to analyze the global long axis strain (GLS), global circumferential strain (GCS), and global radial strain (GRS) of the left ventricle of the patients. The differences of each index between the two groups were compared, the related influencing factors of myocardial ischemia in patients with CHD were analyzed, and the predictive value of RLP-C combined with 3D-STE technology for myocardial ischemia in patients with CHD was evaluated.Results:CAG revealed 39 patients (24.68%) with myocardial ischemia, with a total of 52 myocardial perfusion abnormalities, including 22 right coronary artery supply areas, 12 left coronary artery circumflex supply areas, and 18 anterior descending branch areas. The levels of cardiac function classification, GCS, GRS, GLS and RLP-C in the observation group were all better than those in the control group (all P<0.05). Binary logistic regression analysis showed that cardiac function classification grade Ⅳ, GCS, GRS, GLS, and RLP-C were the influencing factors of myocardial ischemia in patients with CHD (all P<0.05). Analysis of the receiver operating characteristic curve results showed that the sensitivities of cardiac function classification grade Ⅳ, GCS, GRS, RLP-C, GLS and the combination of the five in predicting myocardial ischemia in patients with CHD were 69.23%, 71.79%, 74.36%, 76.92%, 74.36% and 89.74%, respectively. The specificities were 68.91%, 71.43%, 75.63%, 77.31%, 76.47% and 88.24% respectively. The combined diagnosis of myocardial ischemia in patients with CHD with cardiac function classification grade Ⅳ, GCS, GRS, RLP-C and GLS had a relatively high value (all P<0.05). Conclusions:Cardiac function classification grade Ⅳ, GLS, GCS, GRS, and RLP-C are influencing factors of myocardial ischemia in patients with CHD. Combined detection is helpful to improve the diagnostic accuracy of myocardial ischemia.

Objective:To evaluate the effect of ultrasound-guided high ankle block (HAB) on the quality of postoperative recovery of patients undergoing foot and ankle surgery.Methods:In this randomized controlled trial, 90 patients of either sex, aged 18-64 yr, with a body mass index of 18-28 kg/m 2, of American Society of Anesthesiologists Physical Status classification Ⅰ-Ⅲ, scheduled for elective foot and ankle surgery, were divided into 2 groups ( n=45 each) using a random number table method: HAB group and spinal anesthesia group (SA group). Patients underwent ultrasound-guided HAB on the affected side in HAB group, while patients received spinal anesthesia in SA group. The Quality of Recovery-15 (QoR-15) scores were recorded at 24 and 48 h postoperatively. Additional data collected included anesthesia preparation and operation time, sensory and motor grading after anesthesia, anesthetic effect grading, surgery duration, intraoperative tourniquet time, block duration, time to first ambulation, and postoperative length of hospital stay. The time of first rescue analgesia and requirement for rescue algesia within 48 h postoperatively and the occurrence of adverse reactions such as hypotension, headache, nausea and vomiting, and urinary retention after anesthesia were also recorded. Results:Compared to SA group, QoR-15 scores and motor grading after anesthesia were significantly increased, the time to first ambulation and postoperative length of hospital stay were shortened, the duration of block and anesthesia preparation and operation time were prolonged at 24 h postoperatively, the rate of rescue analgesia wthin 48 h after operation and incidence of adverse reactions after anesthesia were decressed, and the time to first rescue analgesia was pronlonged in HAB group ( P<0.05). There were no significant differences between the two groups in sensory grading after anesthesia, anesthetic effect grading, intraoperative use of tourniquet time, and QoR-15 scores at 48 h postoperatively ( P>0.05). Conclusions:Ultrasound-guided HAB provides better quality of postoperative recovery than spinal anesthesia for the patients undergoing foot and ankle surgery.

Aim To analyze the incidence of major adverse cardiovascular and cerebrovascular events(MACCE)in patients with different types of acute coronary syndrome(ACS)undergoing coronary artery rotational atherec-tomy(RA)within two years.Methods 268 patients with ACS who underwent RA in the Department of Cardiology,Nanjing Drum Tower Hospital,Affiliated Hospital of Medical School of Nanjing University,between November 2011 and December 2022 were retrospectively included.According to whether ST-segment elevation myocardial infarction(STEMI)occurred,they were divided into 25 cases in the ST-segment elevation myocardial infarction(STEMI)group and 243 cases in the non-ST-segment elevation acute coronary syndrome(NSTE-ACS)group.The NSTE-ACS group included unstable angina pectoris(UAP)and non-STEMI(NSTEMI).The basic information and intraoperative data related to percutaneous coronary intervention(PCI)in the two groups were collected,and the occurrence of MACCE(including car-diovascular death,non fatal myocardial infarction,worsening heart failure,ischemic stroke and target vessel revasculariza-tion)within two years after RA was followed up and analyzed.Results Compared with the NSTE-ACS group,the STEMI group had a higher incidence of MACCE and cardiovascular mortality during the two-year follow-up period(10.3％and 0.4％vs.28.0％and 8.0％;P＜0.05).There was no statistical difference between the incidence of target vessel revascularization,nonfatal infarction,ischemic stroke and worsening heart failure between the two groups(P＞0.05).According to subgroup analysis based on enrollment periods,the results showed that over time(2011-2017 compared to 2018-2022),the incidence of MACCE in all patients within two years after RA showed a decreasing trend(18.97％vs.6.58％).Combined with previous studies,gender,hypertension,diabetes,renal insufficiency,smoking and left ven-tricular ejection fraction(LVEF)were included in the Cox regression model.It was found that the use of intravascular ul-trasound(IVUS)was an independent factor to reduce the incidence of MACCE in ACS patients within two years after RA(HR=0.333,95％CI:0.153～0.723,P＜0.01).Kaplan-Meier analysis showed that among ACS patients undergoing RA,the cumulative incidence of MACCE events was higher in the STEMI group than that in the NSTE-ACS group(P＜0.05).Conclusion STEMI patients have a higher incidence of MACCE and cardiovascular mortality within two years after RA compared to NSTE-ACS patients,and the use of IVUS during RA surgery can reduce the incidence of MACCE in ACS patients after RA.

Purpose To explore the clinicopathological features and potential clinical value of marginal zone lym-phoma(MZL)derived from T-bet positive memory B cell.Methods Clinical data of 67 cases of MZL were collected.Hematoxylin-eosin,immunohistochemistry,and multiple immunofluorescence stains,B cell receptor high throughput sequencing technology were used to study the histology,immunophenotype,and immunoglobulin heavy chain variable gene(IGHV)repertoire.Results T-bet was expressed in some MZL patients(34/67,50.75％),which was correla-ted with clinicopathological characteristics such as gender,clinical stage,and Ki67 proliferation index(P＜0.05),and also the progression-free survival was poor(P=0.012 2).T-bet positivity was a risk factor affecting the progres-sion of MZL.Microscopically,T-bet positive MZL frequently presented T-bet positive tumor B cells surrounded follicu-lar germinal center,"MALT ball"-type lymphoepithelial lesions,and IgG positive neoplastic plasma cells(P＜0.05).T-bet had no biased influence on the VH gene usage(P＞0.05).The common VH families were IGHV4 and IGHV3,and the segments were IGHV4-34 and IGHV3-30.The positivity of T-bet was associated with somatic hypermutation(SHM)state(P=0.014 9).The SHM was mainly in the range of 2％-4.9％in T-bet positive MZL,while in T-bet negative MZL the SHM was mostly greater than 5％.The VH gene usage was not correlated with the clinicopathological features of patients(P＞0.05).IGHV4 was correlated with progression-free survival in T-bet positive MZL(P=0.038 2).Conclusion The expression of T-bet in MZL is closely related to the clinicopathological features such as histology,plasma cell immunophenotype and IGHV gene repertoire,and the prognosis of patients is poor,which may be a potential molecular marker affecting the progression of MZL.

Objective:To investigate the alterations in gut microbiota diversity and inflammatory cytokine levels among patients with varying severities of insomnia, and to explore their interrelationships, in order to provide a theoretical basis for understanding the pathophysiology of insomnia.Methods:A total of 42 patients with chronic insomnia who visited the First Hospital of Hebei Medical University between March and December 2023 were enrolled in the insomnia group, and 22 age-and sex-matched healthy volunteers were recruited from the same hospital as the control group. General demographic data were collected, and Mini-International Neuropsychiatric Interview (MINI) was used to screen for comorbid psychiatric disorders. The Self-Rating Depression Scale (SDS) and the Self-Rating Anxiety Scale (SAS) were employed to evaluate individual′s depressive and anxiety symptoms. Sleep quality and insomnia severity were assessed using the Pittsburgh Sleep Quality Index (PSQI) and the Insomnia Severity Index (ISI), Participants′ gastrointestinal function and symptoms over the past week were evaluated using the Gastrointestinal Symptom Rating Scale (GSRS). Fecal and blood samples were collected from all participants. Gut microbiota diversity was analyzed using 16S rRNA sequencing. Differential taxa were identified using linear discriminant analysis effect size (LEfSe) and random forest analysis. Serum levels of inflammatory cytokines were measured by enzyme-linked immunosorbent assay (ELISA). Spearman correlation analysis was used to explore the relationships between insomnia symptoms, microbial diversity indices, key microbial taxa, and inflammatory markers. Multiple linear regression analysis was conducted to identify factors associated with insomnia severity.Results:Compared to the control group, both the mild insomnia group and the moderate-to-severe insomnia group showed significantly higher GSRS scores ( Z=-3.51, -2.72, both P<0.05). The Chao1 index was significantly lower in the mild and moderate-to-severe insomnia groups than in controls ( Z=-3.53, -3.87, both P<0.05). Similarly, the Observed species index was lower in both the mild and moderate-to-severe groups ( Z=-3.33, -3.74, both P<0.05). The Shannon index was significantly reduced in the moderate-to-severe group compared to both the mild group and controls ( Z=-2.81, -2.23, both P<0.05). The Simpson index in the moderate-to-severe group also tended to be lower than in the mild group ( Z=-1.95, P=0.051). Beta diversity differed significantly among the mild insomnia group, the moderate-to-severe insomnia group ( P<0.05), and the control group ( F=2.96, 3.12, both P<0.05). Random forest analysis identified Ruminococcus_D and Klebsiella as key microbial genera distinguishing between mild and moderate-to-severe insomnia. Inflammatory cytokine levels were significantly elevated in both insomnia groups compared to controls ( P<0.05). PSQI scores were negatively correlated with the Shannon index, the Observed species index, and the relative abundance of Ruminococcus_D ( r=-0.34, -0.30, and -0.25, respectively; all P<0.05). Multiple linear regression revealed that serum IL-1β (β=0.339, 95% CI=0.014-0.716, P=0.042) and Ruminococcus_D (β=-0.309, 95% CI=-194.591--8.318, P=0.034) were independent predictors of insomnia severity. Conclusion:Elevated inflammatory cytokine levels and reduced gut microbial richness may be closely associated with increased insomnia severity. Additionally, Ruminococcus_D and IL-1β may be important factors contributing to the severity of insomnia in affected individuals.