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.

Autosomal dominant polycystic kidney disease （ADPKD） is a systemic hereditary renal disorder and can affect multiple organs， and congenital hepatic fibrosis is one of the manifestations of liver involvement and is an important complication of ADPKD. Symptomatic management is currently the main treatment method for this disease， and disease-specific drugs such as tolvaptan have limited indications and cannot correct the underlying genetic defect. This article reports a case of ADPKD with congenital hepatic fibrosis， and sirolimus was identified as the individualized treatment regimen based on peripheral blood functional genomic analysis and drug sensitivity prediction platform. The patient achieved significant improvements in symptoms and quality of life after treatment， with a stable kidney volume. This case shows that functional genomics has a potential value in guiding individualized treatment of rare genetic disorders， which provides new treatment ideas and practice paths for similar patients.

Objective To investigate the efficacy of preoperative nebulized indocyanine green (ICG)-assisted thoracoscopic anatomical lesion resection (TALR) in treating pediatric congenital pulmonary airway malformation (CPAM). Methods A retrospective analysis was conducted on clinical data of 45 children with CPAM who underwent thoracoscopic surgery at the Third Affiliated Hospital of Zhengzhou University between June 2023 and March 2025. The patients were divided into an ICG group (preoperative nebulized ICG 0.5 mg/kg+TALR) and a non-ICG group (TALR under white light), with perioperative and postoperative recovery parameters compared between groups. Results A total of 45 children [22 males, 23 females; median age 7.4 (1.1-75.0) months] were enrolled. The ICG group (n=22) and non-ICG group (n=23) both achieved uneventful recoveries. Compared to the non-ICG group, the ICG group demonstrated significantly shorter surgical duration [91.3 (38.0-144.0) min vs. 100.0 (50.0-175.0) min, P=0.032], reduced intraoperative blood loss [3.0 (2.0-10.0) mL vs. 5.0 (1.0-10.0) mL, P=0.049], shorter postoperative drainage duration [2.7 (1.9-3.9) d vs. 3.4 (1.8-19.9) d, P=0.003], and shortened hospital stay [4.6 (2.9-9.8) d vs. 5.0 (3.9-21.5) d, P=0.013]. Residual lesions occurred in 2 patients from the non-ICG group but none in the ICG group. Intragroup comparisons revealed significant improvements in ratio of time to peak tidal expiratory flow to expiratory time, ratio of volume to peak tidal expiratory flow to expiratory volume, and tidal volume per kilogram after surgery in both groups (P<0.05), though intergroup differences showed no statistical significance (P>0.05). Conclusion Preoperative nebulized ICG administration facilitates lesion identification in CPAM, reduces technical difficulty of TALR, enhances therapeutic outcomes, and provides valuable assistance for performing TALR procedures.

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged

Objective:To retrospectively analyze the short-term curative effects of various treatment methods for displaced femoral neck fractures in young and healthy elderly individuals aged 65 to 74 years, while also exploring the surgical treatment options available for this population.Methods:A retrospective analysis was conducted on 159 patients with displaced femoral neck fractures(Garden types Ⅲ and Ⅳ)who were treated at Zhengzhou Orthopedic Hospital from July 2019 to June 2021.Among these patients, 75 were male and 84 were female, with ages ranging from 65 to 74 years, and an average age of 69.1±2.9 years.Patients were categorized based on the treatment method received: the total hip arthroplasty(THA)group comprised 77 cases, the hemiarthroplasty(HA)group included 42 cases, and the internal fixation(IF)group contained 40 cases.We compared intraoperative blood loss, operation time, Harris hip joint function scores one-year post-operation, and the incidence of secondary surgeries across the groups.Results:All 159 patients were followed up for a duration of 36 to 60 months(mean 45.1 months)postoperatively.Intraoperative blood loss was recorded as follows: IF group(19.3±7.0 ml), HA group(303.7±33.8 ml, P<0.001), and THA group(453.6±75.6 ml), with statistically significant differences in pairwise comparisons among the three groups(all P<0.001).The operation times were: IF group(40.7±13.1 min), HA group(53.2±7.5 min), and THA group(96.8±23.6 min), again showing statistically significant differences between each pair of groups(all P<0.001).The Harris hip score at one year postoperatively was(82.1±8.0)points, with an excellent and good rate of 82.4%.Specifically, the THA group scored(82.1±8.1)points with an excellent and good rate of 83.1%; the HA group scored(82.3±7.5)points with an excellent and good rate of 83.3%; and the IF group scored(81.8±8.0)points with an excellent and good rate of 80.0%.No statistically significant differences were observed in the excellent and good rates among the three groups(all P>0.05).A chi-square test performed on the overall postoperative complications among the three groups revealed no statistically significant differences( P=0.115). Conclusions:For relatively healthy elderly patients aged 65 to 74 with femoral neck fractures, hip replacement is not the sole treatment option.Treatment plans should be individualized based on patients' health conditions, transcending age limitations, to effectively address the growing challenges posed by femoral neck fractures in an aging society.

One of the basic questions in the aging field is whether there is a fundamental difference between the aging of lower invertebrates and mammals. A major difference between the lower invertebrates and mammals is the abundancy of noncoding RNAs, most of which are not conserved. We have previously identified a noncoding RNA Terc-53 that is derived from the RNA component of telomerase Terc. To study its physiological functions, we generated two transgenic mouse models overexpressing the RNA in wild-type and early-aging Terc-/- backgrounds. Terc-53 mice showed age-related cognition decline and shortened life span, even though no developmental defects or physiological abnormality at an early age was observed, indicating its involvement in normal aging of mammals. Subsequent mechanistic study identified hyaluronan-mediated motility receptor (Hmmr) as the main effector of Terc-53. Terc-53 mediates the degradation of Hmmr, leading to an increase of inflammation in the affected tissues, accelerating organismal aging. adeno-associated virus delivered supplementation of Hmmr in the hippocampus reversed the cognition decline in Terc-53 transgenic mice. Neither Terc-53 nor Hmmr has homologs in C. elegans. Neither do arthropods express hyaluronan. These findings demonstrate the complexity of aging in mammals and open new paths for exploring noncoding RNA and Hmmr as means of treating age-related physical debilities and improving healthspan.
Animals ; Mice ; RNA, Untranslated/metabolism* ; Aging/genetics* ; Mice, Transgenic ; Telomerase/metabolism* ; RNA/genetics* ; Hippocampus/metabolism* ; Humans ; Mice, Inbred C57BL

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OBJECTIVE: To investigate the associations between eight serum per- and polyfluoroalkyl substances (PFASs) and regional fat depots, we analyzed the data from the National Health and Nutrition Examination Survey (NHANES) 2011-2018 cycles. METHODS: Multiple linear regression models were developed to explore the associations between serum PFAS concentrations and six fat compositions along with a fat distribution score created by summing the concentrations of the six fat compositions. The associations between structurally grouped PFASs and fat distribution were assessed, and a prediction model was developed to estimate the ability of PFAS exposure to predict obesity risk. RESULTS: Among females aged 39-59 years, trunk fat mass was positively associated with perfluorooctane sulfonate (PFOS). Higher concentrations of PFOS, perfluorohexane sulfonate (PFHxS), perfluorodecanoate (PFDeA), perfluorononanoate (PFNA), and n-perfluorooctanoate (n-PFOA) were linked to greater visceral adipose tissue in this group. In men, exposure to total perfluoroalkane sulfonates (PFSAs) and long-chain PFSAs was associated with reductions in abdominal fat, while higher abdominal fat in women aged 39-59 years was associated with short-chain PFSAs. The prediction model demonstrated high accuracy, with an area under the curve (AUC) of 0.9925 for predicting obesity risk. CONCLUSION PFAS exposure is associated with regional fat distribution, with varying effects based on age, sex, and PFAS structure. The findings highlight the potential role of PFAS exposure in influencing fat depots and obesity risk, with significant implications for public health. The prediction model provides a highly accurate tool for assessing obesity risk related to PFAS exposure.
Humans ; Fluorocarbons/blood* ; Female ; Adult ; Middle Aged ; Male ; Environmental Pollutants/blood* ; Abdominal Fat ; Nutrition Surveys ; Alkanesulfonic Acids/blood* ; Obesity ; Environmental Exposure

Objective:To discuss the clinical application value of echocardiography in evaluating the early outcomes of transcatheter aortic valve replacement(TAVR)via the transapical approach,and to clarify the role of echocardiography in assessing the efficacy of the surgery.Methods:The clinical data of 85 patients who received J-Valve prosthetic valves via the transapical TAVR were retrospectively analyzed.The patients were divided into AS group(simple aortic stenosis,n=20),AR group(simple aortic regurgitation,n=37),and AS&AR group(aortic stenosis with regurgitation,n=28).Echocardiographic examination was performed on all the patients before operation,1 week after operation,3 months after operation,and 6 months after operation.The parameters including left ventricular end-diastolic volume(LVEDV),left ventricular end-systolic volume(LVESV),left ventricular ejection fraction(LVEF),left ventricular fractional shortening(LVFS),interventricular septal thickness(IVST),left ventricular posterior wall thickness(LVPWT),aortic valve peak flow velocity(AV Vmax),aortic valve mean transvalvular pressure gradient(AV PGmean),and paravalvular leak(PVL)width were measured to evaluate the cardiac function and the function of the prosthetic valve;the occurrence of postoperative complications of the patients in various groups was also analyzed.Results:J-Valve prosthetic valves were successfully implanted in all 85 patients.There were no significant differences in age,gender,New York Heart Association(NYHA)heart function classification,history of hypertension,history of diabetes,history of hyperlipidemia,and history of coronary artery disease among various groups befor operation(P＞0.05),ensuring comparability.Compared with before operation,1 week after operation,the AV Vmax and AV PGmean of the patients in AS group and AS&AR group were decreased(P＜0.05);there were no significant differences in various parameters of the patients in AR group(P＞0.05).Compared with before operation,3 months after operation,the LVEF and LVFS of the patients in AS group were increased(P＜0.05),while the AV Vmax and AV PGmean were decreased(P＜0.05);the LVEDV and LVESV of the patients in AR group were decreased(P＜0.05),while the LVEF and LVFS were increased(P＜0.05);the LVEDV,LVESV,AV Vmax,and AV PGmean of the patients in AS&AR group were decreased(P＜0.05),while the LVEF and LVFS were increased(P＜0.05).Compared with before operation,LVEDV,LVESV,IVST,and LVPWT of the patients in all three groups 6 months after operation were decreased(P＜0.05),while LVEF and LVFS were increased(P＜0.05);the AV Vmax and AV PGmean of the patients in AS group and AS&AR group were decreased(P＜0.05);the AV PGmean of the patients in AR group was decreased(P＜0.05).The postoperative complications included 3 cases of permanent pacemaker implantation(2 cases in AS group,1 case in AR group),1 case of stroke(in AS group),and 13 cases of PVL(4 cases in AS group,5 cases in AR group,4 cases in AS&AR group).No deaths occurred during follow-up.Conclusion:Echocardiography can accurately and quantitatively evaluate early changes in cardiac function and the functional state of prosthetic valves after transapical TAVR,providing objective evidence for evaluating surgical outcomes and postoperative complications.