Myopic traction maculopathy(MTM)is a common vision-threatening complication in patients with high myopia. With the global increase in high myopia, the prevalence of MTM has been rising worldwide, leading to a growing burden of disease, economic costs,and social impact. The emergence and development of optical coherence tomography(OCT)have provided robust technical support for the staging of MTM. Based on the evolving understanding of its pathological mechanisms and natural course, various staging systems have been proposed and applied in clinical practice, offering crucial guidance for the personalized management of MTM patients. Additionally, innovations and refinements in surgical techniques and materials, such as pars plana vitrectomy(PPV), posterior scleral reinforcement, and macular buckling(MB), have expanded the therapeutic options for MTM. This article systematically reviews the staging systems and treatment strategies for MTM, focusing on the role of OCT-based staging in guiding individualized treatment plans. It also summarizes the current evidence on the efficacy and safety of existing and emerging surgical approaches, including PPV, MB, and their combined procedures. The review further proposes that future research should focus on developing predictive models integrating multimodal data to clarify surgical timing and indications, as well as conducting large-scale, multicenter randomized controlled trials to explore the selection of PPV, MB, or combined surgeries. The review aims to discuss personalized treatment for MTM, providing theoretical foundations and practical directions for optimizing clinical management and improving patient prognosis for MTM patients.

Objective To evaluate the effects of transcatheter aortic valve replacement(TAVR)on left ventricular reverse remodeling(LVRR)and outcomes in patients with mixed aortic valve disease(MAVD)and predominant aortic stenosis(AS).Methods Patients undergoing TAVR at our center between January 2020 and December 2022 were enrolled consecutively.Propensity score matching(PSM)(1∶1 ratio)was used to reduce selection bias.Transthoracic echocardiography(TTE)was used to monitor left ventricular ejection fraction(LVEF)and other structural parameters over time.The study outcome was a composite of cardiovascular death and rehospitalization due to cardiovascular causes.Linear mixed-effects models and logistic regression were utilized for comparing echocardiographic changes across groups and identifying independent risk factors for no-LVRR,respectively.Results After PSM,126 patients were included.MAVD group exhibited larger structural parameters(left ventricular end-systolic/end-diastolic diameter and volume,left ventricular mass index)and a lower left ventricular ejection fraction(LVEF)(all P＜0.05).However,more pronounced improvements in left ventricular structure and hemodynamics were observed during follow-up.Multivariate logistic regression analysis indicated that the left ventricular mass index(LVMI)was an independent predictor of left ventricular reverse remodeling(LVRR)after TAVR,whereas persistent moderate or greater mitral regurgitation(MR)and paravalvular leak(PVL)significantly reduced the incidence of LVRR.During a median follow-up period of 23 months,a total of 31 endpoint events occurred,and there was no statistically significant difference in long-term prognosis between the two groups(Log-rank P=0.330).Conclusions Compared to patients in the AS group,those in the MAVD group exhibited more severe left ventricular remodeling before TAVR.However,more significant LVRR was observed during postoperative follow-up.Additionally,the long-term prognosis was comparable between the two groups.

BACKGROUND:Lifespan of prosthetic joint was being influenced by periprosthetic infection after total hip arthroplasty. Combination of debridement,antibiotics,and implant retention with the replacement of assembled components represents a novel approach in the management of acute prosthetic joint infection after total hip arthroplasty.OBJECTIVE:To observe the efficacy of debridement,antibiotics,and implant retention combined with the replacement of assembled components in the treatment of acute prosthetic joint infection after total hip arthroplasty.METHODS:Twenty-two patients with acute prosthetic joint infection after initial total hip arthroplasty at the Department of Orthopedics,Huangshi Central Hospital,China,between July 2018 and February 2022 were enrolled. The infection time of all patients was less than 3 weeks after the initial arthroplasty. Intraoperative joint fluid extraction and bacterial culture of infected synovium proved to be acute stage infection. They were treated using debridement,antibiotics,and implant retention combined with the replacement of assembled components. Infections were assessed using leukocyte count,erythrocyte sedimentation rate,and C-reactive protein levels before,3 and 6 months after surgery. Improvements in hip joint function were evaluated using Harris hip score. Pain relief was assessed using visual analog scale score. Paired sample t-test was used to analyze the improvement of each index before and after operation.RESULTS AND CONCLUSION:(1) One patient died of non-periprosthesis infection and was subsequently lost to follow-up,which was excluded. The remaining 21 patients received clinical follow-up,and the follow-up time was more than 1 year,with a mean follow-up time of (19.52±3.88) months. Among them,20 patients were successfully treated with surgery and 1 patient failed,and the infection control rate was 95％. (2) The levels of leukocyte count,erythrocyte sedimentation rate,and C-reactive protein were lower in 3 and 6 months after surgery (P<0.05);Harris hip function scores were higher than those before surgery (P<0.05);pain visual analog scale scores were lower than those before surgery (P<0.05),and the differences were significant (P<0.05). (3) It is indicated that debridement,antibiotics,and implant retention combined with the replacement of assembled components after total hip arthroplasty in patients with acute prosthetic joint infection can effectively control prosthetic joint infection,improve hip function,and relieve hip pain caused by infection.

With the rapid advancement of artificial intelligence(AI)technology,its applications in the medical field have been expanding significantly.In the realm of hematopathological diagnosis,the advent of whole slide imaging(WSI)technology has paved the way for AI-based automatic slide reading,which is gradually transforming traditional diagnostic approaches.By establishing and training sophisticated algorithm models,AI,particularly deep learning and machine learning,can accurately and swiftly identify and analyze abnormal cells or tissues,as well as correctly inter-pret immunohistochemical staining results.This not only alleviates the workload of hematopathologists but also shortens the reporting cycle.As a result,it holds substantial application value in the fields of bone marrow pathology and bone marrow cell morphology diagnosis.Moreover,AI also demonstrates broad potential in the analysis of results from flow cytometry,chromosome karyotyping,and next-generation sequencing.Overall,the integration of AI technology is of great significance in propelling the development of intelligent diagnosis in hematopathology.This article aims to provide a comprehensive review of the application of AI in hematopathological diagnosis,and to explore its current status and future prospects.

Objective To investigate the effects of kaempferol on the oxidative damage and apoptosis of human lens epithelial cells induced by hydrogen peroxide(H2O2),as well as its regulatory role in the Janus kinase 2/signal transducer and activator of transcription 3(JAK2/STAT3)signaling pathway.Methods Human lens epithelial cells HLE-B3 were cultured in vitro and divided into the blank group(no intervention),the model group(400 pmol?L-1 H2O2),the kaempferol group(400 μmol?L-1 H2O2+40 pmol?L-1 kaempferol),the AG490 group(400 pmol?L-1 H2O2+50 μmol?L-1 JAK2/STAT3 signaling pathway inhibitor AG490),the inhibitor group(400 pmol?L-1 H2O2+40 pmol?L-1 kaempferol+50 μmol?L-1 AG490),and the activator group(400 pmol?L-1 H2O2+40 pmol?L-1 kaempferol+0.5 μmol?L-1 JAK2/STAT3 signaling pathway activator C-A1).After 24 h of intervention,Hoechst 33258 staining was used to determine the ap-optosis rate of these cells.Malondialdehyde(MDA)and superoxide dismutase(SOD)kits were used to detect the levels of MDA and SOD.The protein expression levels of Cysteine aspartic protease 3(Caspase-3),B-cell lymphoma-2(Bcl-2),JAK2,STAT3,p-JAK2,and p-STAT3 were detected by Western blot.Results Compared with the blank group,the apop-tosis rate,the MDA level,and the protein expression levels of Caspase-3,p-JAK2,and p-STAT3 increased(all P＜0.05)in the model group,while the protein expression levels of SOD and Bcl-2 decreased(all P＜0.05).Compared with the model group,the apoptosis rate,the MDA level,and the protein expression levels of Caspase-3,p-JAK2,and p-STAT3 decreased in the kaempferol and AG490 groups(all P＜0.05),while the protein expression levels of SOD and Bcl-2 increased(all P＜0.05).Compared with the kaempferol group,the apoptosis rate,the MDA level,and the protein expression levels of Caspase-3,p-JAK2,and p-STAT3 decreased in the inhibitor group,while the protein expression levels of SOD and Bcl-2 in-creased(all P＜0.05);the changes in the above indicators in the activator group were opposite to those in the inhibitor group(all P＜0.05).Conclusion Kaempferol can protect HLE-B3 cells from H2O2-induced oxidative damage and inhibit their apoptosis by inhibiting JAK2/STAT3 signaling pathway.

Objective:To develop and assess a deep learning-based model for automatic segmentation of organs at risk (OARs) in postoperative brachytherapy for endometrial carcinoma (EC).Methods:A retrospective study was conducted on the computed tomography (CT) images of 108 EC patients who received high-dose-rate (HDR) 192Ir intracavitary vaginal-cuff brachytherapy (VCB) at the Peking University Third Hospital from November 2021 to October 2022. Then, the rectum, colon, small intestine, and bladder in these images were manually segmented. These patients were randomly divided into two groups using a random number table: 90 cases for training the 3D no-new-U-Net (nnU-Net) segmentation model and 18 cases for model testing. The precision and clinical applicability of the automatic segmentation model were assessed using geometric indexes including Dice similarity coefficient (DSC), Hausdorff distance (HD), and mean surface distance (MSD), as well as dose-volume parameters (DVPs) including the minimum dose to 0.1, 1.0, and 2.0 cm 3 of OARs that received the highest irradiation doses ( D0.1 cm 3, D1.0 cm 3, and D2.0 cm 3). Results:The 3D nnU-Net model yielded mean DSC values of 0.90, 0.85, 0.88, and 0.95, respectively for the segmentations of the rectum, colon, small bowel, and bladder, all of which were better than those of the 3D U-Net and V-Net models. The differences among the three models were statistically significant ( F = 21.78, 24.33, 36.00, 20.11, P < 0.001). The 3D nnU-Net exhibited statistically significant differences in HD values for the colon, small intestine, and bladder segmentations among the three method ( F = 17.33, 24.11, 6.33, P < 0.05). The 3D nnU-Net model yielded lower MSD values for the segmentations of all organs compared to the control model, with statistically significant differences ( F = 29.78, 27.11, 27.11, 14.78, P < 0.001). No statistically significant difference was found in all DVPs between the 3D nnU-Net model-based and manual segmentations ( P > 0.05). Bland-Altman analysis demonstrated great consistency between the 3D nnU-Net and manual segmentations. Conclusions:The 3D nnU-Net-based model exhibits high geometric accuracy and dosimetric consistency with manual segmentation of OARs in brachytherapy, holding potential to improve clinical efficiency.

Objective To investigate the influence of helical tomographic radiotherapy plans with different combinations of lead gate width,pitch and algorithms on threading effects.Methods A target model was established with a Cheese Phantom used as the simulated human body,then three lead gate widths(1.0,2.5,and 5.0 cm),six screw pitches(0.143,0.172,0.215,0.287,0.430,and 0.500)and two computational grids(Fine algorithm and Normal algorithm)were respectively combined for designing the helical tomography radiotherapy plans.The radiotherapy plans with a pitch of 0.143,0.172,0.215,0.287 or 0.430 were enrolled into an experimental group,and the plans with a pitch of 0.500 were divided into a control group.The dosimetric parameters including maximum dose(Dmax),minimum dose(Dmin)and mean dose(Dmean)of the target area PTV1 and PTV2 were evaluated by the dose volume histogram(DVH).The dose homogeneity index(HI)of the target area was calculated,and the single rotation time and total treatment time of each plan were recorded and counted.SPSS 27.0 software was used for statistical analysis.Results No significant threading effect appeared regardless of the pitch value when the lead gate width was 1.0 cm.The threading effects in the experimental group were weaker than those in the control group when the lead gate width was 2.5 or 5.0 cm.The threading effect gradually rose with the pitch increased when the lead gate width was 5.0 cm.The most significant difference was found between the threading effect in case of the screw pitch being 0.500 and that with the screw pitch being 0.143,with the differenes being statistically obvious(P<0.05).The lead gate width had significant effects on the Dmax,Dmin,Dmean and HI of PTV1 and PTV2.When the lead gate width was 5.0 cm,high HI value and uneven dose distribution were detected and lowered screw pitch weakened the threading effect.The single rotation time first remained constant and then increased with the screw pitch was enlarged,with the changing points occurring in case of the screw pitches of 0.287 and 0.430.With a certain lead gate width,the treatment time for plans was shortened with the decrease of the pitches in case of the pritches lower than 0.287,and tended to be constant after the screw pitches reached 0.287.The changes of the computational grid had no significant effects on the results of radiotherapy plans when the lead gate width and screw pitch were kept constant.Conclusion When designing a spiral tomotherapy plan with conventional doses,a lead gate width of 1.0 or 2.5 cm and a screw pitch of 0.287 or 0.430 should be selected in order to minimize the threading effect while ensuring the efficiency of plan implementation.[Chinese Medical Equipment Journal,2025,46(8):58-66]

With the rapid advancement of artificial intelligence(AI)technology,its applications in the medical field have been expanding significantly.In the realm of hematopathological diagnosis,the advent of whole slide imaging(WSI)technology has paved the way for AI-based automatic slide reading,which is gradually transforming traditional diagnostic approaches.By establishing and training sophisticated algorithm models,AI,particularly deep learning and machine learning,can accurately and swiftly identify and analyze abnormal cells or tissues,as well as correctly inter-pret immunohistochemical staining results.This not only alleviates the workload of hematopathologists but also shortens the reporting cycle.As a result,it holds substantial application value in the fields of bone marrow pathology and bone marrow cell morphology diagnosis.Moreover,AI also demonstrates broad potential in the analysis of results from flow cytometry,chromosome karyotyping,and next-generation sequencing.Overall,the integration of AI technology is of great significance in propelling the development of intelligent diagnosis in hematopathology.This article aims to provide a comprehensive review of the application of AI in hematopathological diagnosis,and to explore its current status and future prospects.

OBJECTIVE To develop a pharmaceutical service model for discharge medication order review and medication education （hereinafter referred to as the “proactive pharmaceutical service model”）， and evaluate its effects. METHODS The data of discharged patients were collected retrospectively from Rheumatology and Immunology Department of our hospital during January to June 2023 and January to June 2024. Patients discharged from January to June 2024 were classified as the intervention group （489 cases）， while patients discharged from January to June 2023 were classified as the control group （535 cases） based on the different pharmaceutical service models they received. The control group received traditional service model， and the intervention group additionally got proactive pharmaceutical service model based on the control group. The primary outcome measures [the number of discharge medications， the number of medication errors， and the occurrence of adverse drug-drug interaction （DDI）] and follow-up outcome measures （the adjustment of medication regimen due to intolerance， unplanned hospital admissions， and proactive seeking of pharmaceutical services after discharge） were compared between the two groups. The discharge medication order review status， the occurrence of adverse DDI in patients with polypharmacy， and bedside medication education status for patients receiving the proactive pharmaceutical service model were all recorded. RESULTS From January to June 2024， a total of 1 052 discharge medication order review for inpatients were reviewed， and 174 instances of medication errors were identified. Polypharmacy was observed in 579 patients， with an incidence rate of 55.04%. The incidence of adverse DDI was significantly higher in patients with polypharmacy compared to those without polypharmacy （P＜0.001）. Pharmacists completed medication guidance for 394 instances of high-risk patients prone to the incidence rate of medication errors at home. The number of discharge medications， the incidence rate of medication errors， instances of medication not matching the diagnosis， dosage and administration errors， adverse DDI， and the incidence rate of patients who required adjustment of medication regimen due to intolerance were all significantly lower in the intervention group compared to the control group （P＜0.05）. Additionally， the incidence rate of patients who proactive seeking of pharmaceutical services after discharge was significantly higher in the intervention group compared to the control group （P＜0.05）. However， there was no significant difference in the incidence rate of unplanned hospital admissions between the two groups （P＞0.05）. CONCLUSIONS The established proactive pharmaceutical service model can reduce medication errors， enhance patient recognition of pharmaceutical services， and ensure medication safety for discharged patients at home.

OBJECTIVE: To investigate the variability of bone metabolism levels among different populations and its association with knee osteoarthritis (KOA) pain. METHODS: A total of 50 people (control group) who participated in physical examination from January 2023 to June 2023 were selected, including 26 males and 24 females, wtih a mean aged of (52.14±9.04) years old ranging 41 to 65 years old. The other 50 patients with knee osteoarthritis(case group) who attended the outpatient clinic of the Orthopedics and Traumatology Department in the same time period, including 19 males and 31 females, with a mean age of (53.60±7.76) years old ranging 40 to 65 years. The two groups of Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC) and bone metabolism markers, such as 25-hydroxy-cholecalciferol[25(OH)D], β-isomerized typeⅠcollagen C-telopeptide breakdown products (β-CTX), total typeⅠprocollagen N-terminal propeptide (t-PINP), osteocalcin (OC), parathormone (PTH) levels were compared. Pearson correlation analysis was used to compare the correlation between two groups of bone metabolism related markers and WOMAC. RESULTS: The WOMAC score of the case group (39.90±2.34) was higher than that of the control group (3.60±0.57), with significant difference (P<0.05). There was no significant difference between the two groups of 25 (OH)D, β-CTX and PTH (P>0.05). The t-PINP and OC of the case group were (62.90±52.40) and (19.88±10.15) ng·ml-1, respectively, and those of the control group were (38.86±10.82) and (14.90±3.62) ng·ml^-1, respectively;the t-PINP and OC of the case group were higher than those of the control group, with significant difference (P<0.05). Pearson correlation analysis showed that t-PINP was positively correlated with WOMAC pain score in the case group (r²=0.045, P<0.01). CONCLUSION Bone metabolism levels in the serum of patients with knee osteoarthritis are different from those of healthy people, and the difference between OC and t-PINP is the most obvious, and the concentration of t-PINP levels is positively correlated with pain symptoms in patients with KOA. However, the specific mechanism of correlation between the bone metabolism levels of patients with KOA and their pain symptoms needs to be further elucidated by basic experimental research as well as by enlarging the samples.
Humans ; Female ; Male ; Middle Aged ; Osteoarthritis, Knee/metabolism* ; Aged ; Adult ; Bone and Bones/metabolism* ; Pain/etiology* ; Biomarkers/metabolism*