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 explore the therapeutic effect of drug-coated balloon(DCB)combined drug-eluting stent(DES)on coronary bifurcation lesions.Methods:A total of 108 patients with coronary bifurcation lesions admitted in Shanghai Ninth People's Hospital Huangpu Branch,Shanghai Jiaotong University School of Medicine between February 2021 and March 2023 were enrolled in this randomized controlled study.Patients were randomly divided into combined treatment group(n=54,DCB was implanted in the sub-branch,and DES was implanted in the main branch)and DES group(n=54,DES were implanted in both main branch and sub-branch).Clinical therapeutic effect,coronary angiography quantitative parameters before,instant and 9 months after operation and clinical out-comes during 1-year follow-up after operation were compared between two groups.Results:The total effective rate of combined treatment group was significantly higher than that of DES group(96.30％vs.87.04％,P=0.030).Compared to those in DES group,instant and 9 months after operation,patients in the combined treatment group had significant higher diameters of main branch vessel[(3.13±0.31)mm vs.(3.01±0.25)mm,(2.99±0.33)mm vs.(2.84±0.23)mm],sub-branch vessel[(2.51±0.26)mm vs.(2.42±0.13)mm,(2.44±0.24)mm vs.(2.29±0.36)mm],and significant lower main branch stenosis rate[(6.05±0.21)％vs.(6.24±0.31)％,(9.06±0.23)％vs.(10.12±0.12)％]and sub-branch stenosis rate[(7.38±0.42)％vs.(7.63±0.18)％,(8.07±0.39)％vs.(11.25±0.22)％](P＜0.05 or＜0.01).There were no significant difference in incidence of target lesion revascularization,cardiogenic death and major adverse cardiovascular events between two groups(P＞0.05 all).Conclusion:Drug-eluting stent combined drug-coated balloon may promote vascular branch dilation of coro-nary artery lesions,increase the minimum lumen diameter of sub-branch vessels,and reduce the occurrence of ste-nosis in the treatment of coronary bifurcation lesion,which had similar effectiveness and safety with drug-eluting stent technique.

Objective:To explore the therapeutic effect of drug-coated balloon(DCB)combined drug-eluting stent(DES)on coronary bifurcation lesions.Methods:A total of 108 patients with coronary bifurcation lesions admitted in Shanghai Ninth People's Hospital Huangpu Branch,Shanghai Jiaotong University School of Medicine between February 2021 and March 2023 were enrolled in this randomized controlled study.Patients were randomly divided into combined treatment group(n=54,DCB was implanted in the sub-branch,and DES was implanted in the main branch)and DES group(n=54,DES were implanted in both main branch and sub-branch).Clinical therapeutic effect,coronary angiography quantitative parameters before,instant and 9 months after operation and clinical out-comes during 1-year follow-up after operation were compared between two groups.Results:The total effective rate of combined treatment group was significantly higher than that of DES group(96.30％vs.87.04％,P=0.030).Compared to those in DES group,instant and 9 months after operation,patients in the combined treatment group had significant higher diameters of main branch vessel[(3.13±0.31)mm vs.(3.01±0.25)mm,(2.99±0.33)mm vs.(2.84±0.23)mm],sub-branch vessel[(2.51±0.26)mm vs.(2.42±0.13)mm,(2.44±0.24)mm vs.(2.29±0.36)mm],and significant lower main branch stenosis rate[(6.05±0.21)％vs.(6.24±0.31)％,(9.06±0.23)％vs.(10.12±0.12)％]and sub-branch stenosis rate[(7.38±0.42)％vs.(7.63±0.18)％,(8.07±0.39)％vs.(11.25±0.22)％](P＜0.05 or＜0.01).There were no significant difference in incidence of target lesion revascularization,cardiogenic death and major adverse cardiovascular events between two groups(P＞0.05 all).Conclusion:Drug-eluting stent combined drug-coated balloon may promote vascular branch dilation of coro-nary artery lesions,increase the minimum lumen diameter of sub-branch vessels,and reduce the occurrence of ste-nosis in the treatment of coronary bifurcation lesion,which had similar effectiveness and safety with drug-eluting stent technique.

Genetic risk factors have been shown to contribute to the development of sexual dysfunction. However, the role of methylenetetrahydrofolate reductase (MTHFR) gene variants in the risk of erectile dysfunction (ED) remains unclear. In this study, we recruited 1254 participants who underwent ED assessed by the International Index of Erectile Function-5. The MTHFR c.677C>T variant was also measured by fluorescence polymerase chain reaction (PCR). No significant difference in the genotypic frequency of the MTHFR C677T polymorphism (CC, CT, and TT) was observed between men from the ED and non-ED groups. In addition, on binary logistic regression analysis, both crude and adjusted models showed that the risk of ED was not significantly associated with the C677T polymorphism. Interestingly, a significantly higher frequency of the 677TT polymorphism was found in severe and moderate ED (P = 0.02). The positive correlation between the MTHFR 677TT polymorphism and severe ED was confirmed by logistic regression analysis, even after adjusting for potential confounders (odds ratio [OR] = 2.46, 95% confidence interval [CI]: 1.15-5.50, P = 0.02). These findings suggest a positive correlation between the MTHFR 677TT polymorphism and the risk of severe ED. Identification of MTHFR gene polymorphisms may provide complementary information for ED patients during routine clinical diagnosis.

OBJECTIVE: To explore the characteristics and clinical phenotypes of rheumatoid arthritis (RA) and provide the basis for further understanding, interventions and outcomes of this disease. METHODS: RA patients attended at Peking University People's Hospital from 2018 to 2021 were enrolled in the study. Data collection included demographic data, the sites and numbers of joints involved, extra-articular manifestations (EAM), comorbidities and laboratory variables. Statistical and bioinformatical analysis was performed to establish clinical subtypes by clustering analysis based on the type of joint involved, EAM involvement and other autoimmune diseases overlapped. The characteristics of each subtype were analyzed. RESULTS: A total of 411 patients with RA were enrolled. The mean age was (48.84±15.17) years, and 346 (84.2%) were females. The patients were classified into 4 subtypes: small joint subtype (74, 18.0%), total joint subtype (154, 37.5%), systemic subtype (100, 24.3%), and overlapping subtype (83, 20.2%). The small joint subtype had no medium or large joint involvement, and 35.1% had systemic involvement. The erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) levels and platelet count (PLT) were lower than those in other subtypes, and the rates of positive rheumatoid factors (RF-IgA and RF-IgG) were significantly higher in the small joint subtype. The total joint subtype had both large and small joint involvement but no systemic involvement. The rate of morning stiffness and positive antinuclear antibodies (ANA) in this subtype were lower than those in other subtypes. In the systemic subtype, interstitial lung disease and secondary Sjögren syndrome were the most common systemic involvements, with prominent levels of disease activity score 28-joint count (DAS28-ESR and DAS28-CRP). The overlapping subtype was commonly combined with Hashimoto's thyroiditis or primary Sjögren syndrome. Female in the overlapping subtype was more common than in other subtypes. This subtype was characterized by hyperglobulinemia, hypocomplementemia and high rate of positive ANA, especially spotting type. CONCLUSION Based on the clinical features, RA patients could be classified into 4 subtypes: small joint subtype, total joint subtype, systemic subtype, and overlapping subtype. Each subtype had its own clinical characteristics. They help for further understanding and a more individualized treatment strategy of RA.
Female ; Male ; Humans ; Cross-Sectional Studies ; Sjogren's Syndrome ; Rheumatoid Factor ; Arthritis, Rheumatoid ; Blood Sedimentation ; Phenotype

OBJECTIVE: To build bridges between anti-α enolase antibody (anti-enolase 1 antibody, anti-ENO1 antibody) and common clinical and laboratory characteristics of systemic lupus erythematosus (SLE) and to analyze the role of anti-ENO1 antibody in the evaluation of SLE disease activity. METHODS: The SLE patients with retinopathy and without retinopathy were enrolled in the study, as well as healthy individuals whose gender and age matched with those of the SLE patients. Serum anti-ENO1 antibodies were measured using enzyme-linked immunosorbent assay (ELISA), presenting as intra-group positive rate and arbitrary units (AU) value. Clinical and laboratory data were obtained from medical records. RESULTS: The SLE retinopathy patients represented various fundus abnormalities. Ranked by percentage, the top three retinopathies were retinal hemorrhage (14/32, 43.75%), cotton-wool spots (8/32, 25.00%) and retinal vein occlusion (3/32, 9.38%). Among the 32 SLE retinopathy patients, 13 (40.63%) suffered from two or more fundus abnormalities. The positive rate and AU value of the SLE patients were higher than of the SLE patients without retinopathy (68.75% vs. 46.00%, P=0.043; 16.11%±10.35% vs. 12.06%±6.47%, P=0.045). Besides, the positive rate and AU value of the two SLE groups were both significantly higher than those of the healthy control group (P < 0.001). Compared with the SLE-without-retinopathy group, the systemic lupus erythematosus disease activity index (SLEDAI)-2000 of the SLE retinopathy patients were significantly higher than those of the SLE patients without retinopathy (17.41±4.25 vs. 9.48±5.35, P < 0.001). Dividing all the SLE patients into an anti-ENO1-positive group and an anti-ENO1-negative group, we found that anti-ENO1-positive was more likely to be correlated to developing fever and positive result of urine occult blood (P=0.011, P=0.042). Comparing with the patients with negative anti-ENO1 antibodies, the patients with positive anti-ENO1 antibodies had significantly higher erythrocyte sedimentation rate (ESR) [the median (range) was 29.50 (1.52-110.00) mg/L vs. 12.00 (4.00-101.00) mg/L, P=0.001], higher immunoglobulin G (IgG) [the median (range) was 14.30 (4.02-37.80) g/L vs. 10.46 (2.50-25.73) g/L, P=0.000 3], and higher blood platelet count (PLT) [(205.87×10⁹±67.98×10⁹) /L vs. (164.57×10⁹±69.57×10⁹) /L, P=0.008], as well as higher immunoglobulin A (IgA) [the median (range) was 2.85 (0.07-27.00) g/L vs. 2.05 (0.42-4.36) g/L, P=0.014]. CONCLUSION The positive rate and AU value of anti-ENO1 antibody suggested higher SLE disease activity and they were elevated in SLE and SLE retinopathy.
Humans ; Autoantibodies ; Lupus Erythematosus, Systemic ; Enzyme-Linked Immunosorbent Assay ; Retinal Diseases/etiology* ; Immunoglobulin G

Objective Coronavirus disease 2019 (COVID-19) and tuberculosis (TB) are major public health and social issues worldwide. The long-term follow-up of COVID-19 with pulmonary TB (PTB) survivors after discharge is unclear. This study aimed to comprehensively describe clinical outcomes, including sequela and recurrence at 3, 12, and 24 months after discharge, among COVID-19 with PTB survivors. Methods From January 22, 2020 to May 6, 2022, with a follow-up by August 26, 2022, a prospective, multicenter follow-up study was conducted on COVID-19 with PTB survivors after discharge in 13hospitals from four provinces in China. Clinical outcomes, including sequela, recurrence of COVID-19, and PTB survivors, were collected via telephone and face-to-face interviews at 3, 12, and 24 months after discharge. Results Thirty-two COVID-19 with PTB survivors were included. The median age was 52 (45, 59) years, and 23 (71.9％) were men. Among them, nearly two-thirds (62.5％) of the survivors were moderate, three (9.4％) were severe, and more than half (59.4％) had at least one comorbidity (PTB excluded). The proportion of COVID-19 survivors with at least one sequela symptom decreased from 40.6％ at 3 months to 15.8％ at 24 months, with anxiety having a higher proportion over a follow-up. Cough and amnesia recovered at the 12-month follow-up, while anxiety, fatigue, and trouble sleeping remained after 24 months. Additionally, one (3.1％) case presented two recurrences of PTB and no re-positive COVID-19 during the follow-up period. Conclusion The proportion of long symptoms in COVID-19 with PTB survivors decreased over time, while nearly one in six still experience persistent symptoms with a higher proportion of anxiety. The recurrence of PTB and the psychological support of COVID-19 with PTB after discharge require more attention.

ObjectiveTo explore the mechanism of Cervi Cornu Pantotrichumin in the treatment of osteoarthritis by network pharmacology. MethodThe active ingredients and the corresponding targets of Cervi Cornu Pantotrichumin were screened out by a Bioinformatics Analysis Tool of Molecular mechANism of Traditional Chinese Medicine （BATMAN-TCM）. The targets related to osteoarthritis were obtained through GeneCards and Online Mendelian Inheritance in Man （OMIM）. The targets corresponding to the active ingredients and those related to osteoarthritis were intersected to reveal the common targets， and STRING was adopted to build a protein-protein interaction （PPI） network. DAVID was used for gene ontology （GO） annotation and Kyoto encyclopedia of genes and genomes （KEGG） pathway enrichment on the anti-osteoarthritis targets of Cervi Cornu Pantotrichumin， and R x64 3.6.3 was employed to produce the advanced bubble charts of GO terms and KEGG pathways. Cytoscape 3.7.2 was used to establish the “Chinese medicinal herb-active ingredient-target-signaling pathway” network. In vitro experiments were performed to detect the viability of RAW 264.7 cells exposed to oxidative stress and the tumor necrosis factor （TNF）-α level in RAW 264.7 cells with inflammation under the treatment by Cervi Cornu Pantotrichumin. ResultA total of 20 active ingredients of Cervi Cornu Pantotrichum were obtained， of which ceramide， 6'-O-β-D-glucosylgentiopicroside， cerebroside， oleuropein， sphingomyelin， and cholesterol ferulate did not meet the screening conditions. Therefore， a total of 14 active ingredients were finally screened out， and 303 and 3 093 targets of active ingredients and osteoarthritis were respectively obtained. The two target sets were taken to intersect， which revealed 92 common targets. GO annotation and KEGG pathway enrichment showed that the targets were mainly involved in redox process， positive regulation of RNA polymerase Ⅱ promoter transcription， inflammatory response， protein synthesis， osteoclast differentiation， TNF signaling pathway， signaling pathways in cancer， mammalian target of rapamycin （mTOR） signaling pathway， mitogen-activated protein kinase （MAPK） signaling pathway， and cyclic adenosine monophosphate （cAMP） signaling pathway. The results of in vitro experiments showed that a certain concentration of protein in Cervi Cornu Pantotrichum significantly increased the viability of RAW 264.7 cells exposed to H₂O₂-induced oxidative damage （P<0.05， P<0.01） and reduced the level of TNF-α in the RAW 264.7 cells experiencing lipopolysaccharide （LPS）-induced inflammation （P<0.05）. ConclusionBased on the network pharmacology method， the mechanism of the multi-component， multi-target and multi-pathway treatment of OA by antler antler was explained， and the anti-inflammatory and antioxidant activities of antler antler were confirmed， which provided theoretical guidance and scientific basis for further research on the treatment of OA by antler antler.

The Singapore Health Services cluster (SingHealth) radiology film archives are a valuable repository of local radiological cases dating back to the 1950s. Some of the cases in the archives are of historical medical interest, i.e. cerebral angiography in the workup of patients with hemiplegia. Other cases are of historical social interest, being conditions seen during earlier stages of Singapore's development, i.e. bound feet. The archives form a unique portal into the development of local radiology as well as the national development of Singapore. A selection from the archives is published in commemoration of the International Day of Radiology in 2020, as well as the 200th anniversary of the Singapore General Hospital in 2021. This pictorial essay comprises gastroenterology, musculoskeletal and obstetrics and gynaecology cases from the archives.