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.

Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

Based on the theory that "where yin accumulates， latent yang must exist"， the pathogenesis of burning mouth syndrome evolves from deficiency of healthy qi， to accumulation of yin， latent yang， and upward scorching of heat-toxin. The fundamental cause lies in the imbalance between yin and yang and the internal generation of yin pathogens. The retention and accumulation of turbid yin， which gradually transforms into fire， is considered the key pathogenic process， ultimately leading to the formation of latent fire that generates toxins and scorches the mouth and tongue， causing pain. Treatment follows the basic principles of "resolving accumulated yin， dispersing latent yang， and clearing heat-toxins"， with management tailored according to disease stages and syndrome characteristics. In the early stage， when yin stagnation needs to be resolved and latent fire mildly alleviated， Mahuang Fuzi Xixin Decoction （麻黄附子细辛汤） combined with Gancao Xiexin Decoction （甘草泻心汤） is used with modifications. In the middle stage， yang is activated while yin is regulated to clear and reduce latent fire， Wumei Pill （乌梅丸） combined with Fengsui Elixir （封髓丹） with modifications is employed. In the late stage， yang is warmed to attack yin and pathogens are eliminated to remove toxins， Dahuang Fuzi Decoction （大黄附子汤） combined with Shengma Biejia Decoction （升麻鳖甲汤） is used.

Objective:To explore the feasibility of using low-dose computed tomography(LDCT)with deep learning reconstruction(DLR)on the chest for the screening of lung nodules,and to compare the image quality and detection rate of nodules between LDCT and routine dose CT(RDCT)-DLR.Methods:A total of 104 overweight or obese patients[body mass index(BMI)≥25 kg/m2]who received CT examination on chest due to pulmonary nodule screening from September to December 2023 were included to conduct prospective study.All patients underwent respectively RDCT(120 kV)and LDCT(100 kV)scans,all of the two scans used the modulation of automatic tube current,and adopted deep learning AI algorithm ClearInfinity to conduct reconstruction(RDCT:CI 40%,LDCT:CI 50%).Radiation dose and nodules number of them were recorded.At the T8 vertebral level,CT values(Hounsfield Units,HU)of mediastinal fat and lung parenchyma in the right lower lobe were measured,along with image noise(standard deviation,SD).The signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)were subsequently calculated.Two radiologists independently performed subjective evaluations of image quality and pulmonary nodules using a Likert 4-point scale.Paired t-tests or Wilcoxon rank-sum test were employed to compare differences in radiation dose,objective image noise,and subjective scores between LDCT and RDCT.Results:A total of 104 patients were enrolled,including 54 males and 50 females,with a mean age of 52±13 years and a BMI of(27.77±2.64)kg/m2.The effective radiation dose of LDCT demonstrated a statistically significant reduction compared to RDCT(Z=-8.853,P<0.001),with a mean effective radiation dose reduction of 77.86%.The differences in lung CT value,lung noise,fat noise,lung parenchyma SNR,fat SNR and CNR of images between two groups were significant(Z=-3.022,-2.327,-4.785,-2.059,-3.765,-4.013,P<0.05),while there were not significant differences in the comparisons for fat CT value and lung parenchyma SNR(P>0.05).The image contrast,image noise,and subjective score for image quality of lung nodule of LDCT were lower than those of RDCT(t=2.877,2.387,5.096,P<0.05),but all subjective scores of that were>3,which can meet the requirements of clinical diagnosis.In terms of nodule detection,RDCT found out about 418 nodules,while LDCT found out about 421,the false positive rate of LDCT only was 0.72%.Conclusion:In overweight or obese patients,LDCT that combined with DLR algorithm on chest is equivalent to RDCT on image quality and the detection rate of lung nodule,and it significantly reduce radiation exposure on patients at the same time.

Arson is classified as a violent crime,and often involves accelerants that significantly increase casualties and property damage.These accelerants,typically flammable liquids with low saturated vapor pressure,present volatile characteristic components in fire residues,making evidence preservation critical for accurate forensic analysis.In this study,the preservation performance of AMPAC(American KAPAC polyester sampling bags)and polyethylene(PE)evidence bags were evaluated under simulated field conditions(40 oC)through gas chromatography-mass spectrometry(GC-MS)technique,focusing on background interference,sealing integrity,and cross-contamination.The results demonstrated that AMPAC bags exhibited minimal background interference(C12?C14 alkanes detected after 3?7 days)and effective gasoline sealing,though slight losses of C2?C3 alkylbenzenes and trace cross-contamination were observed.In contrast,PE bags showed significant background hydrocarbons(C15?C19 alkanes)and pronounced gasoline component losses,including C2?C4 alkylbenzenes,naphthalenes,and indenes.Notably,severe cross-contamination of gasoline markers was detected in adjacent blank PE bags,with characteristic components such as C2?C4 alkylbenzenes,naphthalenes,methylnaphthalenes,dimethylnaphthalenes,indenes,indanes,methylindenes,and dimethylindenes identified,indicating substantial cross-contamination issues in PE evidence bags.Microstructural analysis revealed superior sealing in AMPAC bags attributed to their smooth,dense surface morphology compared to PE's rougher,porous structure.This study established a comprehensive evaluation framework for fire residue evidence containers,and found that PE bags were unsuitable for long-term gasoline evidence preservation due to compromised integrity.These findings provided critical references for forensic container selection in fire investigations.

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

Objective:To investigate the iodine nutrition status of pregnant women in Zhejiang Province, explore the impact of salt industry system reform on iodine nutrition level of pregnant women, and provide scientific basis for prevention and treatment of iodine deficiency disorders.Methods:From 2016 to 2021, a multi-stage stratified sampling method was used to select 100 pregnant women from 90 counties (cities, districts) in Zhejiang Province each year as survey subjects. Salt samples were collected from pregnant women's families, and one random urine sample was taken for salt iodine and urinary iodine level testing, respectively.Results:A total of 56 581 samples of household edible salt were collected from pregnant women, with a median salt iodine level of 23.20 mg/kg. Among them, 7 961 were non iodized salt, 45 803 were qualified iodized salt, and 2 817 were unqualified iodized salt. The iodized salt coverage rate was 85.93% (48 620/56 581), and the qualified iodized salt consumption rate was 80.95% (45 803/56 581). The proportion of non iodized salt increased from 10.05% (897/8 928) in 2016 to 15.09% (1 461/9 679) in 2021 (χ 2trend = 95.16, P < 0.001). A total of 56 581 urine samples were collected from pregnant women, with a median urinary iodine level of 130.50 μg/L. Among them, the proportions of urinary iodine levels < 150, 150 - 249, 250 - 499, and ≥500 μg/L were 58.32% (32 996/56 581), 27.24% (15 410/56 581), 12.24% (6 926/56 581), and 2.21% (1 249/56 581), respectively. The median urinary iodine level of pregnant women in inland areas was significantly higher than that in coastal areas ( Z = 19.15, P < 0.001). Furthermore, urinary iodine levels exhibited a non-linear decline as age increased (χ 2regression = 12.65, P < 0.001; χ 2partial = 22.65, P < 0.001) and as pregnancy progressed (χ 2regression = 37.28, P < 0.001; χ 2partial = 18.89, P < 0.001). Conclusions:The overall iodine nutrition status of pregnant women in Zhejiang Province is in a state of iodine deficiency (< 150 μg/L), and there is a greater risk in coastal areas compared to inland areas. However, in the context of the reform of the salt industry system, it is still necessary to strengthen the quality supervision of iodized salt, provide scientific iodine supplementation education, promote specialized iodized salt for pregnant women, and strengthen interventions for prevention and control of iodine deficiency disorders.

OBJECTIVE: To analyze the prevalence and burden of headache disorders in China and its provinces from 1990 to 2021. METHODS: Using data from the Global Burden of Disease Study (GBD) 2021, the number of prevalent cases, prevalence rate, disability-adjusted life years (DALYs), and age-standardized DALY rates were analyzed by sex, age group, and province for headache disorders and their subtypes (migraine and tension-type headache [TTH]) between 1990 and 2021. Percentage changes during this period were also estimated. RESULTS: In 2021, approximately 426 million individuals in China were affected by headache disorders, with an age-standardized prevalence rate of 27,582.61/100,000. The age-standardized DALY rate for all headache disorders was 487.15/100,000. Between 1990 and 2021, the number of prevalent cases increased by 37.78%, while the prevalence of all headache disorders, migraine, and TTH increased by 6.92%, 7.57%, and 7.86%, respectively. The highest prevalence was observed in the 30-34 age group (39,520.60/100,000). Migraine accounted for a larger proportion of DALYs attributable to headache disorders, whereas TTH has a greater impact on its prevalence. In 2021, the highest age-standardized DALY rates for headache disorders were observed in Heilongjiang (617.85/100,000) and Shanghai (542.86/100,000). CONCLUSION The prevalence of headache disorders is increasing in China. Effective health education, improve diagnosis and treatment are essential, particularly for middle-aged working populations and women of childbearing age.
Humans ; China/epidemiology* ; Female ; Male ; Adult ; Middle Aged ; Prevalence ; Young Adult ; Adolescent ; Aged ; Child ; Headache Disorders/epidemiology* ; Disability-Adjusted Life Years ; Child, Preschool ; Cost of Illness ; Infant ; Aged, 80 and over

Objective:To compare the efficacy of O-arm navigation-assisted and conventional posterior cervical expansive open-door laminoplasty (CEOL) via the intermuscular approach in the treatment of cervical spinal cord injury without fracture-dislocation (CSCIWFD).Methods:A prospective cohort study was conducted to analyze the clinical data of 60 CSCIWFD patients who were admitted to Zhengzhou Orthopedic Hospital from May 2021 to May 2023, with compression at C3-C6. Patients were randomly divided into two groups: 30 patients underwent O-arm navigation-assisted intermuscular approach CEOL (navigation-assisted group) and 30 patients underwent conventional intermuscular approach CEOL (conventional surgery group). Surgical duration, intraoperative blood loss, postoperative drainage volume, and total surgical blood loss were compared between the two groups. At 2 weeks postoperatively, CT scan was performed to evaluate the accuracy of hinge or open-door position preparation of the surgical segments. Visual analogue scale (VAS) for neck and shoulder pain and Japanese Orthopedic Association (JOA) scores were compared between the two groups preoperatively, at 2 weeks, 6 months postoperatively, and at the last follow-up. Complication rates were also evaluated.Results:A total of 60 patients with CSCIWFD were included, comprising 35 males and 25 females, aged 35-77 years [(50.9±8.6)years]. All the patients were followed up for 12-24 months [(16.9±3.1)months]. The surgical duration and intraoperative blood loss were (121.6±17.9)minutes and (144.7±44.2)ml in the navigation-assisted group, shorter or less than (132.3±14.6)minutes and (178.7±48.7)ml in the conventional surgery group ( P<0.05). There were no statistically significant differences in postoperative drainage volume and total surgical blood loss between the two groups ( P>0.05). CT scan reviewed at 2 weeks postoperatively revealed that the accuracy rate of hinge and open-door position preparation of the surgical segments in the navigation-assisted group was 99.2% (119/120), significantly higher than 86.7% (104/120) in the conventional surgery group ( P<0.01). Before operation and at 2 weeks, 6 months postoperatively, and at the last follow-up, the VAS scores for neck and shoulder pain and JOA scores in the navigation-assisted group were 5.0(4.0, 7.0)points and (8.7±2.8)points, 3.0(2.0, 4.0)points and (10.2±2.5)points, 2.0(1.0, 2.0)points and (1 3.0±1.8)points, and 1.0(1.0, 2.0)points and (13.9±1.5)points respectively, while in the conventional surgery group, the VAS scores and JOA scores were 5.5(5.0, 6.3)points and (8.8±2.6)points, 4.0(3.0, 4.0)points and (10.4±2.5)points, 2.0(1.0, 3.0)points and (12.9±2.2)points, and 2.0(1.0, 2.0)points and (13.8±2.0)points ( P>0.05). Both groups showed improvement in neck and shoulder VAS scores and JOA scores at 2 weeks, 6 months postoperatively, and at the last follow-up, compared to preoperative scores ( P<0.05); further improvement was observed at 6 months postoperatively and at the last follow-up compared to that at 2 weeks postoperatively ( P<0.05). There were no significant differences between neck and shoulder VAS scores or JOA scores at 6 months postoperatively and at the last follow-up ( P>0.05). In the navigation-assisted group, 2 patients had axial neck-shoulder pain postoperatively, with a complication rate of 7% (2/30); while in the conventional surgery group, 7 patients had axial neck-shoulder pain and one patient developed cerebrospinal fluid leakage and low-pressure headache, with a complication rate of 27% (8/30) ( P<0.05). Conclusion:Compared to the conventional intermuscular approach, O-arm navigation-assisted intermuscular approach CEOL for CSCIWFD reduces surgical duration and intraoperative blood loss, improves the accuracy of hinge and open-door position preparation, and lowers complication rates.