ObjectiveTo explore the clinical application value of CIE 1976 L*a*b*（Lab） color space in the differential diagnosis of early esophageal cancer and non-cancerous lesions. MethodsWe selected the endoscopic images of patients with esophageal lesions confirmed by pathology who underwent white light imaging endoscopy （WLI） and narrow band imaging endoscopy （NBI）. Five regions of interest （ROI） were selected respectively from the mucosa of the lesion area and the mucosa of the surrounding normal area for labeling. The Lab color space parameters were extracted and counted， and the color difference values（ΔE*）were calculated. ResultsA total of 213 eligible patients were included for analysis in the study. In WLI and NBI modes， there were differences in mucosal color between the early esophageal cancer group and the non-cancer group （P<0.05）. Compared with WLI mode， NBI mode could significantly increase the color difference between early esophageal cancer and non-cancerous lesions （P<0.05）. The lightness component value （L* value） of the early esophageal cancer lesion area was lower than that of the non-cancerous lesion area， and this color difference was more significant in the NBI mode （P<0.05）. In WLI mode， there was no significant difference in yellow-blue component value （b* value） between the mucosa of early esophageal cancer and non-cancerous lesions. However， in the NBI mode， the b* value of the mucosa in the non-cancerous lesion area was higher than that in the early esophageal cancer lesion area （P<0.05）. On the red-green axis， the mucosa of the early esophageal cancer and non-cancerous lesions was red in WLI mode and green in NBI mode. There was no significant difference in red-green component value （a* value） between the two groups. ConclusionThere are color differences between early esophageal cancer and non-cancerous lesions under WLI and NBI. The color of early esophageal cancer is darker under WLI， and the color of non-cancerous lesions is yellower under non-magnified NBI mode. Lab color space is helpful to identify early esophageal cancer and non-cancerous lesions.

Objective To prepare Xuanyang Jiedu cream and to study its pharmacodynamics.Methods The herbal decoction process of Xuanyang Jiedu cream was optimized by orthogonal design method.The prescription of the cream preparation was screened according to the external properties,malleability and stability of cream.Forty normal guinea pig were randomly divided into four groups(10 in each group):blank group,model group,ketoconazole cream group,and Xuanyang Jiedu cream group.The guinea pig model of tinea corporis was established to investigate the efficacy of Xuanyang Jiedu cream in the treatment of superficial fungal disease.Results The optimal extraction conditions were 3 extractions,water added for 20 times,and 1.5 h of extraction time.The number of extractions and the amount of water significantly affected on the extraction process of the liquid extract.The optimized Xuanyang Jiedu cream looked smooth and creamy,with moderate viscosity and good stabilities of centrifuge,cold and heat resistance.After 14 d treatment,there were still obvious erythema,scales and papules on the lesions in the model group.The scores of erythema,scales and papules in the Xuanyang Jiedu cream group and the ketoconazole cream group were lower than those in the model group(P<0.05).Conclusion Xuanyang Jiedu cream has antifungal activity and may be a new treatment for skin superficial mycosis.

The number of patients with eye diseases in China is enormous,and the negative effects of these conditions,such as impaired visual function,psychological burdens,and restricted social participation,are becoming increasingly severe.Due to the limited and unevenly distributed ophthalmic resources,and the significant limitations of traditional diagnostic and therapeutic approaches in terms of accuracy and efficiency,there is an urgent need for more sensitive and efficient modalities.With the rapid advancement of artificial intelligence technology,ophthalmic diagnosis has entered a new stage of intelligent transformation.Facial photos,as a noninvasive and convenient medium,show unique advantages in eye disease diagnosis.Artificial intelligence systems based on facial photo analysis have been applied to the screening and diagnosis of conditions such as myopia,strabismus,ptosis,and thyroid eye disease,showing promising results.This review introduces the workflow of intelligent diagnosis for ocular diseases based on facial photographs,with a focus on recapitulating relevant research findings both domestically and internationally in recent years.It summarizes the innovative features and application advantages of intelligent diagnosis systems for eye diseases based on facial photos,analyzes the current technical bottlenecks and challenges in application,proposes corresponding countermeasures,and discusses future development directions,aiming to provide references and new insights for the intelligent screening and diagnosis of eye diseases.

Systemic vascular diseases characterized by a common pathological feature of atherosclerosis are referred to as pan-vascular disease, the incidence and mortality of which are increasing currently. Apolipoproteins are closely related to the occurrence of atherosclerosis due to their genetic polymorphism, and expected to become new biomarkers for prediction and intervention of the disease. This article reviews the research progress on the biological functions of apolipoproteins, and the association of the apolipoprotein B (ApoB)/apolipoprotein A1 (ApoA1) ratio with the pathogenesis and progress of atherosclerosis. Understanding the ApoB/ApoA1 ratio in different populations with pan-vascular diseases and its effects on different interventions will be conducive to precise and personalized disease management, and to improve clinical outcomes and the quality of life of patients.

BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical decision support system (CDSS) with accurate semantic recognition of colonoscopy reports and guideline-based is helpful to relieve the increasing medical burden and standardize the healthcare. In this study, the CDSS was built under a hierarchical-label interpretable classification framework, trained by a state-of-the-art transformer-based model, and validated in a multi-center style. METHODS: We conducted stratified sampling on a previously established dataset containing 302,965 electronic colonoscopy reports with pathology, identified 2041 patients' records representative of overall features, and randomly divided into the training and testing sets (7:3). A total of five main labels and 22 sublabels were applied to annotate each record on a network platform, and the data were trained respectively by three pre-training models on Chinese corpus website, including bidirectional encoder representations from transformers (BERT)-base-Chinese (BC), the BERT-wwm-ext-Chinese (BWEC), and ernie-3.0-base-zh (E3BZ). The performance of trained models was subsequently compared with a randomly initialized model, and the preferred model was selected. Model fine-tuning was applied to further enhance the capacity. The system was validated in five other hospitals with 3177 consecutive colonoscopy cases. RESULTS: The E3BZ pre-trained model exhibited the best performance, with a 90.18% accuracy and a 69.14% Macro-F1 score overall. The model achieved 100% accuracy in identifying cancer cases and 99.16% for normal cases. In external validation, the model exhibited favorable consistency and good performance among five hospitals. CONCLUSIONS The novel CDSS possesses high-level semantic recognition of colonoscopy reports, provides appropriate recommendations, and holds the potential to be a powerful tool for physicians and patients. The hierarchical multi-label strategy and pre-training method should be amendable to manage more medical text in the future.
Humans ; Colonoscopy/methods* ; Deep Learning ; Decision Support Systems, Clinical ; Female ; Male

Systemic vascular diseases characterized by a common pathological feature of atherosclerosis are referred to as pan-vascular disease, the incidence and mortality of which are increasing currently. Apolipoproteins are closely related to the occurrence of atherosclerosis due to their genetic polymorphism, and expected to become new biomarkers for prediction and intervention of the disease. This article reviews the research progress on the biological functions of apolipoproteins, and the association of the apolipoprotein B (ApoB)/apolipoprotein A1 (ApoA1) ratio with the pathogenesis and progress of atherosclerosis. Understanding the ApoB/ApoA1 ratio in different populations with pan-vascular diseases and its effects on different interventions will be conducive to precise and personalized disease management, and to improve clinical outcomes and the quality of life of patients.

The number of patients with eye diseases in China is enormous,and the negative effects of these conditions,such as impaired visual function,psychological burdens,and restricted social participation,are becoming increasingly severe.Due to the limited and unevenly distributed ophthalmic resources,and the significant limitations of traditional diagnostic and therapeutic approaches in terms of accuracy and efficiency,there is an urgent need for more sensitive and efficient modalities.With the rapid advancement of artificial intelligence technology,ophthalmic diagnosis has entered a new stage of intelligent transformation.Facial photos,as a noninvasive and convenient medium,show unique advantages in eye disease diagnosis.Artificial intelligence systems based on facial photo analysis have been applied to the screening and diagnosis of conditions such as myopia,strabismus,ptosis,and thyroid eye disease,showing promising results.This review introduces the workflow of intelligent diagnosis for ocular diseases based on facial photographs,with a focus on recapitulating relevant research findings both domestically and internationally in recent years.It summarizes the innovative features and application advantages of intelligent diagnosis systems for eye diseases based on facial photos,analyzes the current technical bottlenecks and challenges in application,proposes corresponding countermeasures,and discusses future development directions,aiming to provide references and new insights for the intelligent screening and diagnosis of eye diseases.

Objective:To investigate the clinical efficacy of femoral component revision surgery in addressing polyethylene sleeve wear in rotating hinge knee joints.Methods:A retrospective analysis was conducted on 21 patients who underwent treatment for polyethylene sleeve wear in rotating hinge knee joints at the Department of Orthopaedics, the Fourth Medical Center, PLA General Hospital, spanning from August 2008 to April 2023. There were 8 males and 13 females with a median age of 63(38, 76) years. Among them, 11 cases involved the left side, and 10 cases involved the right side. The average body mass index (BMI) was 25.0(22.5, 31.0) kg/m 2, and all cases underwent unilateral knee joint revision. The time interval from receiving the hinge knee joint prosthesis to revision was 10.5(6.0, 17.0) years, with 18 cases undergoing primary revision and 3 cases undergoing revision for the second time. Revision surgery of the femoral component sleeve was performed in all patients due to polyethylene sleeve wear. Visual analogue scale (VAS), range of motion (ROM) of the knee joint, changes in hip-knee-ankle angle (HKA), and Knee Society score (KSS) were collected and recorded to assess the surgical outcomes. Results:All patients were followed up for a median duration of 12.5(11.7, 13.4) months. Preoperatively, the VAS score was 5(3, 7) points, which significantly decreased to 0(0, 1) points at the last follow-up ( Z=5.721, P<0.001). At the last follow-up, the KSS scores decreased from 41.19±13.65 points preoperatively to 79.81±7.80 points, indicating a statistically significant difference ( t=12.560, P<0.001). HKA increased from 174.65°±5.20° preoperatively to 178.71°±2.79°, with a statistically significant difference ( t=5.533, P<0.001). Knee joint ROM increased from 69.05°±34.37° preoperatively to 110.00°±10.12°, also demonstrating a significant improvement ( t=5.960, P<0.001). Notably, patients exhibited knee joint stability with no passive flexion or extension laxity. Conclusion:Femoral component sleeve revision surgery effectively addresses polyethylene sleeve wear in rotating hinge knee joint prostheses, thereby mitigating the substantial loss of bone and soft tissue associated with overall revision procedures. The early postoperative clinical outcomes are promising and indicative of the efficacy of this surgical intervention.

Objective To investigate the effect of berberine(BBR)on chronic renal failure(CRF)rats and its mechanism.Methods CRF rat model was established by removing 5/6 kidneys and all rats were randomly divided into sham group,chronic renal failure model group,berberine treatment group and uremic clearance granules(UCG)treatment group with 10 in each.Renal function indexes in each group were examined by an automated bio-chemistry instrument.The level of MMP-2 and MMP-9 were detected by ELISA.The degree of renal fibrosis was observed by PAS and Masson staining microscopy.The expression of NF-κB p65 and IL-6 were detected by immu-nohistochemistry method.Expression of fibrosis-related proteins and TGF-β1/ERK signaling pathway proteins in re-nal tissues was detected by Western blot.Results Compared with sham group,renal function and renal histopatho-logical damage was significantly increased in the model group,and BBR improved renal function and histopathological damage in CRF rats.Compared with the sham group,the serum level of MMP-2 and MMP-9 was significantly de-creased(P＜0.05),the expression of IL-6 and NF-κB p65 was up-regulated(P＜0.05).The expression of FN,α-SMA,Col-Ⅰ,Col-Ⅲ,TGF-β1,and p-ERK1/2 proteins was up-regulated in the model group of rats(P＜0.05),while the BBR treatment significantly reversed the expression of these molecules(P＜0.05).Conclusions BBR may improve inflammation and fibrosis by inhibiting TGF-β1/ERK1/2 pathway,and play a protective role in the kidney of CRF rat.

Objective To investigate whether there are sex differences in inflammatory bowel disease(IBD)among the offspring of mice with IBD.Methods BALB/c female mice were randomly divided into Na?ve and DSS groups.The mice in the Na?ve group drank autoclaved water freely,and the DSS group freely drank 2％dextran sodium sulfate(DSS)for 7 days before it was replaced with autoclaved water for 10 days.A total of 3～4 cycles were applied,and the IBD female mice were paired with healthy male mice in cages.When the pups were 8 weeks old,they were divided into the Con group and IBD group.The Con group drank autoclaved water freely for 7 days,and the IBD group drank 3％DSS for 7 days.During the modeling period,disease activity index was scored by monitoring body weight,fecal consistency,and the presence of blood in stool every day.Pathological sections were taken to observe changes in goblet cells and the mucus layer of colon tissues.The concentrations of interleukin(IL)-6,IL-1β,IL-33,and IL-10 in the colon were detected by enzyme-linked immunosorbent assay.Real-time quantitative PCR was used to determine the mRNA expression levels of tight-junction proteins and MUC-2 in the colon.Results Compared with female IBD mice,male IBD mice had higher DAI scores,significantly shorter colons,larger amounts of inflammatory infiltrate,more crypt abnormalities,and a higher absence of goblet cells in the colon;their relative mRNA expression of occludin mRNA was significantly reduced,levels of IL-6 and IL-33 were significantly increased,and level of IL-10 was significantly decreased.Conclusions The symptoms of colitis in the offspring of IBD mice were more severe in male than in female mice,a result that was mainly attributed to the more severely impaired intestinal epithelial barrier function in males.