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.

In March 2024, three male and two female specimens of the genus Lispe were intercepted on cargo ships inbound for Wan Zai Port under Gongbei Customs. Based on morphological characteristics and molecular analysis, the specimens were identified as Lispe pumila. In this study, we describe the morphological features, diagnostic characteristics, and geographical distribution of L. pumila, with the aim of providing a reference for the identification of this species when intercepted at ports.

Objective:To construct a competency-oriented assessment index system based on entrustable professional activities (EPAs) for 5-year undergraduate clinical medical students in oncology internship.Methods:From June to December 2023, the scoping review approach and Bicomb 2.0 were used to construct and manage an item pool. The draft of EPAs and competencies was designed based on truncated word frequency. SPSS 25.0 was used for cluster analysis and UCINET 6.0 was used for visualization. Combining the characteristics and consensus of oncology, a multi-center expert group used the KJ method to draft the framework of EPAs and competencies. Subsequently, the expert group defined milestones and mapped the milestones to the framework to establish the assessment system.Results:Based on 26 included studies, a draft was created containing 19 EPA indicators and 72 competency characteristic indicators. After cluster analysis, 13 experts from 6 medical institutions established a framework including 13 EPAs and 10 competencies as well as 50 milestones, leading to the construction of the "EPAs-competencies-milestones" assessment system.Conclusions:The "EPAs-competencies-milestones" assessment system aligns with the trend of reform, demonstrating universality, specificity, and scientificity. It provides a reference for the development and assessment of oncology internship courses in medical universities.

Objective To compare the application value of coronary computed tomography angiography(CCTA)based plaque characteristics and computed tomography(CT)derived parameters in predicting future major adverse cardiovascular events(MACE)between patients with and without diabetes mellitus.Methods A total of 425 patients who underwent CCTA in Shunde Hospital Affiliated to Southern Medical University from June 2016 to November 2016 were retrospectively analyzed.Patients were divided into DM group(n=120)and non-DM group(n=305)for follow-up.According to the occurrence of MACE during follow-up,patients were divided into DM group(n=81),DM+MACE group(n=39),non-DM group(n=39),non-DM group(n=244)and non-DM+MACE group(n=61).The differences in general characteristics,biochemical index and parameters in imaging were compared among the four groups.Cox proportional hazards regression analysis was used to analyze the influencing factors for MACE in the two populations.The receiver operating characteristic(ROC)curve was used to analyze the difference in the predictive value of different plaque characteristics and CT-derived parameters for MACE.Results The levels of coronary artery calcification score(CACS),and the proportion of low-attenuation plaque(LAP)were higher in the DM+MACE group than in the DM group(P<0.05).The levels of positive reconstruction(PR),the proportion of antihypertensive drugs,CAD-RADS,CACS,residual cholesterol and apolipoprotein B were higher in the non-DM+MACE group than in the non-DM group(P<0.05).Cox proportional hazards regression analysis showed that CACS≥100(HR 2.151,95%CI 1.128～4.102,P=0.020)and LAP(HR 2.337,95%CI 1.032～5.290,P=0.042)were the influencing factors for MACE in patients with DM.PR(HR 124.305,95%CI 42.883～360.326,P<0.001)was the influencing factor for MACE in patients without DM.ROC curve analysis showed that the AUC of CACS combined with LAP were 0.606,0.609 and 0.660 for predicting MACE in DM patients within 1,3 and 5 years respectively.The AUC of PR for predicting MACE were 0.862,0.927,and 0.806 in the non-DM population within 1,3,and 5 years respectively.The predictive value of CACS and LAP for MACE in the DM patients was stable during the 5 years,while the predictive value of PR for MACE in the non-DM population decreased significantly after 4 years.Conclusions The predictive values of different plaque characteristics and CT derived parameters for future MACE are different between population with and without diabetes.The combination of CACS and low-attenuation plaques can effectively evaluate the risk of MACE in diabetic patients,while PR has a higher predictive value for MACE in non-diabetic patients.

This study was aimed at determining the genetic characteristics of Yersinia pestis in Subei County through differ-ential region(DFR),clustered regularly interspaced short palindromic repeats(CRISPR),and variable number tandem repeat(VNTR)analyses,to guide the tracing of plague outbreaks.The DNA of 89 Yersinia pestis strains isolated from various ani-mal in foci of Subei County from 1973 to 2017 was extracted.Primers for genotyping by DFR,CRISPR,and MLVA were used in PCR,and agarose electrophoresis was used to determine whether the amplified products were present.Genotypes were deter-mined through comparison against the DFR database of Yersinia pestis in China.The PCR products were sequenced and com-pared against the online CRISPR database for Yersinia pestis to determine the genotype.The number of VNTR repeats in each strain was calculated through capillary electrophoresis,and the minimum spanning tree was constructed with BioNumerics 7.6 according to the numbers of VNTR repeats from 89 Yersinia pestis strains in Subei County and 11 strains from a Marmota hi-malayana focus in Qinghai Province.The Yersinia pestis strains in Subei County were divided into six main genotypes by DFR:8,7,lb,5,32,and 44.The Yersinia pestis strains were divided into three gene clusters and three genotypes by CRISPR.Ca35'was the main gene cluster in Subei County;the genotype was 26';and the distribution was primarily in Dangchengwan Town,Yuerhong Township,and Shibaocheng Township.Ca7 and CaΔ5'comprised secondary gene clusters,with genotypes 22 and 24,and were distributed in Dangchengwan Town,Yuerhong Township,and Shibaocheng Township.The Yersinia pes-tis strains in Subei County were divided primarily into three clusters:the Dangchengwan Machang cluster,Yuerhong Township cluster and Dangchengwan Town cluster.Therefore,the Yersinia pestis strains in Subei County,divided into major and minor genotypes according to DFR,CRISPR and MLVA,showed different regional distribution characteristics,highly diverse geno-types,and complex population characteristics.These aspects are particularly important in tracing the sources of plague out-breaks.

Objective To analyze the application value of 3D Slicer software in endoscopic transsphenoidal surgery for pituitary adenoma resection.Methods A retrospective analysis was made on the clinical data of 36 patients with pituitary adenomas treated with 3D Slicer-assisted endoscopic transsphenoidal surgery(3D Slicer group)in the Department of Neurosurgery,The Second Affiliated Hospital of Xi'an Jiaotong University,from January 2024 to December 2024.Preoperatively,multimodal images were fused and reconstructed using 3D Slicer software to systematically evaluate bony anatomical structures such as sphenoid sinus ostia,intrasphenoidal septa,and sellar floor structures,design the size of pedicled nasoseptal flaps,and clarify the positional relationships between pituitary adenomas and surrounding vital structures including the internal carotid artery,pituitary gland,and optic chiasm,so as to provide real-time guidance for intraoperative procedures.Meanwhile,45 patients with pituitary adenomas treated with neuronavigation-assisted endoscopic transsphenoidal surgery from January 2023 to December 2023 were included as the control group(neuronavigation group).The surgical outcomes and postoperative complications were compared between the two groups.Results Compared with the neuronavigation group,the 3D Slicer group demonstrated higher identification rates of the optic nerve groove and carotid artery impression(94.4％vs.77.8％),shorter operative time[(2.9±0.6)h vs.(3.5±0.9)h],less intraoperative bleeding[(159.7±70.5)mL vs.(237.8±96.0)mL],and a lower incidence of postoperative olfactory dysfunction(8.3％vs.26.7％),with statistically significant differences(P＜0.05).However,there were no statistically significant differences between the two groups in the identification rate of the sphenoid sinus ostium(100.0％vs.97.8％),gross total resection rate(75.0％vs.64.4％),and the incidence of other postoperative complications,including cerebrospinal fluid leakage(0.0％vs.6.7％),intracranial infection(2.8％vs.11.1％),transient diabetes insipidus(30.6％vs.22.2％),and hypopituitarism(38.9％vs.37.8％,P＞0.05).Conclusion 3D Slicer software helps improve the mastery of anatomical basics in endoscopic transsphenoidal approach among junior and primary physicians,enhancing the clinical efficacy and safety of pituitary adenoma resection,and thus is worthy of clinical promotion.

Objective:To analyze intestinal microecological differences and their correlation with psychological status in patients with constipated irritable bowel syndrome(IBS-C)and functional constipation(FC).Methods:A total of 160 patients with IBS-C and FC attending the outpatient and inpatient departments of the Department of Gastroenterology at the General Hospital of Ningxia Medical University from January 2021 to January 2024 were selected and grouped according to the type of disease into the IBS-C group(80 patients)and the FC group(80 patients),and 80 patients who had a health checkup during the same period were selected as the control group.Fresh fecal specimens were taken from all subjects,and 16S rRNA sequencing was used to detect the intestinal flora,and the indices of intestinal microecological diversity(Ace index,Chao index,Shannon index,and Sobs index)were detected,and the psychological state of the subjects was assessed by using the Self-Assessment Scale for Anxiety(SAS)and the Self-Depression Scale(SDS).Pearson's correlation method was used to analyze the correlation between intestinal microecology and correlation with psychological state in IBS-C and FC patients.Result:Bifidobacteria and Lactobacillus levels were lower in both the FC and IBS-C groups compared with the control group,and the decrease was more pronounced in the IBS-C group(P＜0.05).Enterobacteriaceae and Enterococci contents were higher in patients in the FC and IBS-C groups(P＜0.05),with the greatest increase in the IBS-C group(P＜0.05);Microbial diversity analysis showed that there were differences in Ace,Chao,Shannon and Sobs indices among the three groups(P＜0.05).All diversity indices were lower in the FC and IBS-C groups than in the control group,and the degree of reduction was more pronounced in the IBS-C group than in the FC group(P＜0.05);The SAS and SDS scores of both FC and IBS-C groups were higher than those of the control group,and the scores of the IBS-C group were higher than those of the FC group(P＜0.05);correlation analysis showed that,in the IBS-C and FC groups,Bifidobacterium and Lactobacillus,Ace index,Chao index,Shannon index,and Sobs index were negatively correlated with SAS and SDS scores.Enterobacteriaceae and Enterococci were positively correlated with SAS and SDS scores(P＜0.05).Conclusion:There are possible differences in the gut microbiota between IBS-C and FC patients.The imbalance of gut microbiota is more significant in IBS-C patients,and gut microbiota is closely related to psychological status.Clinical treatment of IBS-C and FC should pay attention to the regulation of gut microbiota and intervention of psychological status.

Objective:To analyze intestinal microecological differences and their correlation with psychological status in patients with constipated irritable bowel syndrome(IBS-C)and functional constipation(FC).Methods:A total of 160 patients with IBS-C and FC attending the outpatient and inpatient departments of the Department of Gastroenterology at the General Hospital of Ningxia Medical University from January 2021 to January 2024 were selected and grouped according to the type of disease into the IBS-C group(80 patients)and the FC group(80 patients),and 80 patients who had a health checkup during the same period were selected as the control group.Fresh fecal specimens were taken from all subjects,and 16S rRNA sequencing was used to detect the intestinal flora,and the indices of intestinal microecological diversity(Ace index,Chao index,Shannon index,and Sobs index)were detected,and the psychological state of the subjects was assessed by using the Self-Assessment Scale for Anxiety(SAS)and the Self-Depression Scale(SDS).Pearson's correlation method was used to analyze the correlation between intestinal microecology and correlation with psychological state in IBS-C and FC patients.Result:Bifidobacteria and Lactobacillus levels were lower in both the FC and IBS-C groups compared with the control group,and the decrease was more pronounced in the IBS-C group(P＜0.05).Enterobacteriaceae and Enterococci contents were higher in patients in the FC and IBS-C groups(P＜0.05),with the greatest increase in the IBS-C group(P＜0.05);Microbial diversity analysis showed that there were differences in Ace,Chao,Shannon and Sobs indices among the three groups(P＜0.05).All diversity indices were lower in the FC and IBS-C groups than in the control group,and the degree of reduction was more pronounced in the IBS-C group than in the FC group(P＜0.05);The SAS and SDS scores of both FC and IBS-C groups were higher than those of the control group,and the scores of the IBS-C group were higher than those of the FC group(P＜0.05);correlation analysis showed that,in the IBS-C and FC groups,Bifidobacterium and Lactobacillus,Ace index,Chao index,Shannon index,and Sobs index were negatively correlated with SAS and SDS scores.Enterobacteriaceae and Enterococci were positively correlated with SAS and SDS scores(P＜0.05).Conclusion:There are possible differences in the gut microbiota between IBS-C and FC patients.The imbalance of gut microbiota is more significant in IBS-C patients,and gut microbiota is closely related to psychological status.Clinical treatment of IBS-C and FC should pay attention to the regulation of gut microbiota and intervention of psychological status.

Aim To investigate the protective effect of Shengmai Yin on myocardial ischemia/reperfusion in-jury(MI/RI)in vitro and in vivo and to unravel the underlying mechanism.Methods SD rats were divid-ed into the sham group,model group,and Shengmai Yin group(SM).Rat MI/RI model was established.Cardiac function,infarct area,pathological changes,cardiomyocyte apoptosis,macrophage infiltration,and serum cTnT and CK-MB levels were measured.The mRNA and protein expressions of Calpain-1 and Cal-pain-2 were assessed.The hypoxia/reoxygenation(H/R)model was constructed in H9c2 cells.The active ingredients of Shengmai Yin were screened using net-work pharmacology and verified by CCK-8.In the car-diomyocytes H/R model,Fluo-4 AM staining was used to detect the changes of Ca2+levels.Results Com-pared with model group,LVEF and LVFS of Shengmai Yin-treated rats increased,myocardial infarction area was reduced,while myocardial tissue injury was allevi-ated.Myocardial apoptosis rate and the number of macrophages were reduced.Similarly,cTnT and CK-MB levels decreased.In addition,the expression lev-els of Calpain-1 and Calpain-2 mRNA and protein de-creased in the SM treatment group.Under the H/R model,all the active ingredients of Shengmai decoction had protective effects on cardiomyocytes,and the treat-ment could reduce the level of Ca2+in cardiomyocytes.Conclusions Shengmai Yin has protective effects on MI/RI in rats.This effect may be related to the de-crease in Ca2+levels,as well as Calpain-1 and Calap-in-2 mRNA and protein expression.