AIM:To investigate the prevalence and associated factors of comorbid myopia and scoliosis among primary and junior school students in Binhu District, Wuxi, China.METHODS:A stratified cluster random sampling method was used to select students from 10 primary and junior schools in Binhu District for visual acuity testing, scoliosis examination, and a questionnaire survey on related factors. The relationship between scoliosis and myopia was detected using univariate analysis. A binary multivariable logistic regression model was applied to analyze the risk factors associated with comorbid myopia and scoliosis.RESULTS: A total of 17 951 students were selected, including 8948(49.85%)boys and 9003(50.15%)girls; 9784(54.50%)primary school students and 8167(45.50%)junior school students. The detection rates of myopia, scoliosis, and comorbidity were 68.30%, 2.95%, and 2.76%, respectively. The comorbidity rate was higher in girls(3.78%)than in boys(1.74%). Junior school students(3.67% in Grade 7-9)had a higher total comorbidity detection rate than primary school students(2.00% in Grade 4-6; all P<0.001). Logistic regression analysis showed that being in Grade 7-9 [odds ratio(OR)=4.43, 95% confidence interval(CI): 2.36-7.85], spending 2-3 h(OR=1.46, 95%CI: 1.02-2.16)or ≥3 h(OR=1.5, 95%CI: 1.21-2.55)on homework or reading after school, engaging in >60 min of moderate-to-vigorous physical activity >6 days per week(OR=1.39, 95%CI: 1.08-1.7), and not adjusting desk and chair height to match the student's height(OR=1.73, 95%CI: 1.2-2.25)were positively associated with comorbidity(all P<0.05).CONCLUSION: The prevalence of comorbid myopia and scoliosis among primary and junior school students in Binhu District of Wuxi is concerning. Reducing the time ofhomework or reading and writing after school and engaging in ≥60 min of moderate-to-vigorous physical activity at least three days per week may help lower the risk of comorbid myopia and scoliosis in this population.

Objective To externally validate a prediction model based on clinical and CT imaging features for the preoperative identification of high-grade patterns (HGP), such as micropapillary and solid subtypes, in early-stage lung adenocarcinoma, in order to guide clinical treatment decisions. Methods This study conducted an external validation of a previously developed prediction model using a cohort of patients with clinical stage ⅠA lung adenocarcinoma from the Fourth Hospital of Hebei Medical University. The model, which incorporated factors including tumor size, density, and lobulation, was assessed for its discrimination, calibration performance, and clinical impact. Results A total of 650 patients (293 males, 357 females; age range: 30-82 years) were included. The validation showed that the model demonstrated good performance in discriminating HGP (area under the curve>0.7). After recalibration, the model's calibration performance was improved. Decision curve analysis (DCA) indicated that at a threshold probability>0.6, the number of HGP patients predicted by the model closely approximated the actual number of cases. Conclusion This study confirms the effectiveness of a clinical and imaging feature-based prediction model for identifying HGP in stage ⅠA lung adenocarcinoma in a clinical setting. Successful application of this model may be significant for determining surgical strategies and improving patients' prognosis. Despite certain limitations, these findings provide new directions for future research.

OBJECTIVES: Near vision loss (NVL) is one of the leading causes of visual impairment worldwide, exerting a profound impact on individual quality of life and socio-economic development. This study aims to analyze the burden of NVL in China by sex and age groups from 1990 to 2021 and to project trends over the next 15 years. METHODS: Using data from the Global Burden of Disease (GBD) 2021 database, we conducted descriptive analyses of NVL prevalence in China, calculated age-standardized prevalence rates (ASPR) and age-standardized disability-adjusted life years rates (ASDR) to compare burden differences between sexes and age groups, and applied an autoregressive integrated moving average (ARIMA) model to predict NVL trends for the next 15 years. The model selection was based on best-fit criteria to ensure reliable projections. RESULTS: From 1990 to 2021, China's ASPR of NVL rose from 10 096.24/100 000 to 15 624.54/100 000, and ASDR increased from 101.75/100 000 to 158.75/100 000. In 2021, ASPR (16 551.70/100 000) and ASDR (167.69/100 000) were higher among females than males (14 686.21/100 000 and 149.76/100 000, respectively). China ranked highest globally in both NVL cases and disability-adjusted life years (DALYs), with female burden significantly exceeding male burden. Projections indicated this trend and sex gap will persist until 2036. Compared with 1990, the prevalence cases and DALYs increased by 239.20% and 238.82%, respectively in 2021, with the highest burden among females and the 55-59 age group. The ARIMA model predicted continued increases in prevalence and DALYs by 2036, with females maintaining a higher burden than males. CONCLUSIONS This study reveals a marked increase in the NVL burden in China and predicts continued growth in the coming years. Public health policies should prioritize NVL prevention and control, with special attention to women and middle-aged populations to mitigate long-term societal and health impacts.
Humans ; China/epidemiology* ; Male ; Female ; Prevalence ; Middle Aged ; Disability-Adjusted Life Years ; Adult ; Global Burden of Disease ; Adolescent ; Quality-Adjusted Life Years ; Aged ; Sex Factors ; Child ; Young Adult ; Child, Preschool ; Cost of Illness ; Infant ; Aged, 80 and over ; Vision Disorders/epidemiology*

Objective This study aims to explore the application value of spectral CT and perfusion CT parameters in the pathological classification and prognostic assessment of lung cancer.Methods A total of 94 lung cancer patients confirmed by pathology at Shanghai Chest Hospital from January 2023 to November 2024 were included in the study,including 49 cases of lung adenocarcinoma(LUAD),30 cases of lung squamous cell carci-noma(LUSC),and 15 cases of small cell lung cancer(SCLC).All patients underwent spectral CT combined with perfusion scanning using a 256-slice Revolution Apex from GE.Two radiologists independently measured the spectral and perfusion parameters of the three groups of images,including spectral curve slope(K),iodine concentration in the lesion area(ICL),effective atomic number(Zeff),surface permeability(PS),and perfusion index(PI),and established a lung cancer pathological subtype discrimination prediction model based on spectral CT radiomics features.All subjects were randomly divided into a training group and a validation group at a ratio of 3∶1.The discrimination efficacy of the spectral discrimination model between different pathological subtypes and the discrimination efficacy of arterial and venous phase images were compared in multiple dimensions.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve.Results Statistical analysis showed that the spectral curve slope,ICL,NIC,and Zeff of LUAD patients were significantly higher than those of LUSC and SCLC patients(P<0.05),while there were no significant differences in these parameters between LUSC and SCLC patients(P>0.05).Among the perfusion CT parameters,surface permeability(PS)showed significant differences among the three groups(P<0.05),while blood volume(BV),blood flow(BF),perfusion index(PI),time to peak(TTP),and mean transit time(MTT)did not show statistical differences.The multi-factor logistic regression model based on spectral parameters showed strong discriminatory performance:the area under the curve(AUC)of the LUAD and LUSC discrimination model was 0.806/0.77(training group/test group)in the arterial phase and 0.867/0.9(training group/test group)in the venous phase;the AUC of the LUAD and SCLC discrimination model was 0.885/0.883(training group/test group)in the arterial phase and 0.851/0.776(training group/test group)in the venous phase.Conclusion This study indicates that the multi-dimensional functional metabolic analysis indicators of spectral and perfusion CT imaging have significant value in the differential diagnosis of lung cancer pathological subtypes.The diagnostic model constructed by combining multiple spectral parameters can significantly improve the discrimination efficacy of lung adenocarcinoma,squamous cell carcinoma,and small cell lung cancer,providing precise imaging evidence for the formulation of individualized treatment plans.

Objective To investigate the feasibility of non-ECG-gated scan using wide-body detector in left atrial computed tomo-graphy angiography(CTA)and to assess its value in evaluating left atrial appendage closure(LAAC)outcomes.Methods Patients who underwent LAAC and completed left atrial CTA were prospectively selected.Participants were randomly divided into groups A and B.In group A,the heart rate was measured using a finger clip oximeter before the examination,and the heart rate was set as the simula-ted heart rate.The simulated signal was generated by the CT equipment to complete the examination.In group B,the conventional ECG-gated scan was adopted.The residual leakage of left atrial appendage occluder,image quality,patient comfort and radiation dose of the two groups were compared,and statistical analysis was performed for these indicators.Results Both groups completed the evaluation of the endothelialization degree of the left atrial appendage occluder,and there was no significant difference in the objective image quality evaluation or subjective image score between the two groups(P＞0.05).The total scores of the physiological dimension,psy-chological dimension,social cultural dimension and environmental dimension of patients in group A were higher than those in group B(P＜0.001),and the volume CT dose index(CTDIvol)and dose length product(DLP)decreased by 25％and 25.36％respectively,with statistically significant differences(P＜0.001).Conclusion During the left atrial CTA examination,the wide-body detector with non-ECG-gated scan mode can provide good image quality for clinical use and observe the embolization of the left atrial appendage after LAAC surgery.At the same time,it can effectively reduce the radiation dose for patients and improve patient comfort dur-ing the examination,showing high clinical feasibility and appli-cation value.

Objective To investigate the utility of dual-energy computed tomography(DECT)virtual non-contrast(VNC)images instead of true non-contrast(TNC)images in the quantitative analysis of emphysema.Methods A retrospective selection was con-ducted on 59 patients who underwent chest CT plain scan plus dual-phase enhanced scan on APEX-CT.VNC images of arterial phase(VNCart)and venous phase(VNCven)were generated on AW4.7 workstation.Volume CT dose index(CTDIvol)and dose length product(DLP)were recorded respectively.In a double-blind manner,two physicians graded the severity of each patient's emphysema according to the Fleischner Society's emphysema visual classification system.The"digital lung"detection and analysis platform was used to quantitatively measure emphysema at three thresholds(-950 HU,-930 HU and-910 HU),and the difference in meas-urement results between VNC images and TNC images was compared.Quantitative differences in low attenuation volume(LAV),percentage of low attenuation area(LAA%)and mean lung density(MLD)at the-950 HU threshold were compared using Bland-Altman plots.Results Using TNC images as the standard,there was no significant difference in the results of the visual classifica-tion evaluation of emphysema between TNC and VNC images(χ2=2.80,P=0.247).In quantitative measurement,there was no significant difference in total lung volume(TLV)(χ2=3.26,P=0.196)between the three groups images.Compared to TNC ima-ges,there were no statistically significant differences in LAV,LAA%and MLD of VNCven images at 15th percentile lung density(Perc 15%)and different thresholds(P>0.05).Compared to the TNC mode,the VNC mode could reduce the effective dose(ED)by approximately 32.6%.Conclusion The use of DECT VNCven images on chest has the potential to replace TNC for the quantitative analysis of emphysema,thereby streamlining scans and reducing radiation dose.

Objective This study aims to explore the application value of spectral CT and perfusion CT parameters in the pathological classification and prognostic assessment of lung cancer.Methods A total of 94 lung cancer patients confirmed by pathology at Shanghai Chest Hospital from January 2023 to November 2024 were included in the study,including 49 cases of lung adenocarcinoma(LUAD),30 cases of lung squamous cell carci-noma(LUSC),and 15 cases of small cell lung cancer(SCLC).All patients underwent spectral CT combined with perfusion scanning using a 256-slice Revolution Apex from GE.Two radiologists independently measured the spectral and perfusion parameters of the three groups of images,including spectral curve slope(K),iodine concentration in the lesion area(ICL),effective atomic number(Zeff),surface permeability(PS),and perfusion index(PI),and established a lung cancer pathological subtype discrimination prediction model based on spectral CT radiomics features.All subjects were randomly divided into a training group and a validation group at a ratio of 3∶1.The discrimination efficacy of the spectral discrimination model between different pathological subtypes and the discrimination efficacy of arterial and venous phase images were compared in multiple dimensions.The performance of the model was evaluated using the receiver operating characteristic(ROC)curve.Results Statistical analysis showed that the spectral curve slope,ICL,NIC,and Zeff of LUAD patients were significantly higher than those of LUSC and SCLC patients(P<0.05),while there were no significant differences in these parameters between LUSC and SCLC patients(P>0.05).Among the perfusion CT parameters,surface permeability(PS)showed significant differences among the three groups(P<0.05),while blood volume(BV),blood flow(BF),perfusion index(PI),time to peak(TTP),and mean transit time(MTT)did not show statistical differences.The multi-factor logistic regression model based on spectral parameters showed strong discriminatory performance:the area under the curve(AUC)of the LUAD and LUSC discrimination model was 0.806/0.77(training group/test group)in the arterial phase and 0.867/0.9(training group/test group)in the venous phase;the AUC of the LUAD and SCLC discrimination model was 0.885/0.883(training group/test group)in the arterial phase and 0.851/0.776(training group/test group)in the venous phase.Conclusion This study indicates that the multi-dimensional functional metabolic analysis indicators of spectral and perfusion CT imaging have significant value in the differential diagnosis of lung cancer pathological subtypes.The diagnostic model constructed by combining multiple spectral parameters can significantly improve the discrimination efficacy of lung adenocarcinoma,squamous cell carcinoma,and small cell lung cancer,providing precise imaging evidence for the formulation of individualized treatment plans.

Objective To investigate the feasibility of non-ECG-gated scan using wide-body detector in left atrial computed tomo-graphy angiography(CTA)and to assess its value in evaluating left atrial appendage closure(LAAC)outcomes.Methods Patients who underwent LAAC and completed left atrial CTA were prospectively selected.Participants were randomly divided into groups A and B.In group A,the heart rate was measured using a finger clip oximeter before the examination,and the heart rate was set as the simula-ted heart rate.The simulated signal was generated by the CT equipment to complete the examination.In group B,the conventional ECG-gated scan was adopted.The residual leakage of left atrial appendage occluder,image quality,patient comfort and radiation dose of the two groups were compared,and statistical analysis was performed for these indicators.Results Both groups completed the evaluation of the endothelialization degree of the left atrial appendage occluder,and there was no significant difference in the objective image quality evaluation or subjective image score between the two groups(P＞0.05).The total scores of the physiological dimension,psy-chological dimension,social cultural dimension and environmental dimension of patients in group A were higher than those in group B(P＜0.001),and the volume CT dose index(CTDIvol)and dose length product(DLP)decreased by 25％and 25.36％respectively,with statistically significant differences(P＜0.001).Conclusion During the left atrial CTA examination,the wide-body detector with non-ECG-gated scan mode can provide good image quality for clinical use and observe the embolization of the left atrial appendage after LAAC surgery.At the same time,it can effectively reduce the radiation dose for patients and improve patient comfort dur-ing the examination,showing high clinical feasibility and appli-cation value.

BACKGROUND:Neurodegenerative diseases are closely related to the imbalance of mitochondrial autophagy regulation.Previous studies by the research group have shown that lycium barbarum polysaccharide has neuroprotective effects,but whether it can improve the damage of SH-SY5Y cells induced byβ-amyloid protein 1-42 by regulating mitochondrial autophagy is still unclear.OBJECTIVE:To explore the protective effect and mechanism of Lycium barbarum polysaccharide on SH-SY5Y cells induced by β-amyloid protein 1-42.METHODS:An Alzheimer's disease cell model was established by inducing SH-SY5Y cells with β-amyloid protein 1-42,and then intervening with Lycium barbarum polysaccharide.SH-SY5Y cells were divided into three groups:control group,β-amyloid protein 1-42 group(20 μmol/L β-amyloid protein 1-42 for 24 hours),and Lycium barbarum polysaccharide group(1 g/L Lycium barbarum polysaccharide was added 1 hour in advance to form a protective effect,and then 20 μmol/L β-amyloid protein 1-42 was added to intervene with Lycium barbarum polysaccharide for 24 hours).CCK8 assay was used to detect cell viability.Mitochondrial membrane potential was detected by JC-1.TUNEL staining was used to detect cell apoptosis.Immunofluorescence and western blot assay were used to detect the expression of synaptic,apoptosis,and mitophagy-related indicators.RESULTS AND CONCLUSION:(1)Compared with the control group,the cell viability of the β-amyloid protein 1-42 group decreased(P＜0.05);cell apoptosis rate increased(P＜0.05);mitochondrial membrane potential decreased(P＜0.05);the expressions of pro-apoptotic proteins Bax and Caspase3 increased(P＜0.05);the expression of anti-apoptotic protein Bcl-2 decreased(P＜0.05);the expression levels of synaptic-related proteins Syn and PSD-95 decreased(P＜0.05);the expression levels of mitochondrial autophagy-related proteins Pink1,LC3A/B,Parkin,and Beclin-1 decreased(P＜0.05);and the expression of P62 increased(P＜0.05).(2)Compared with the β-amyloid protein 1-42 group,the cell viability in the Lycium barbarum polysaccharide group was increased(P＜0.05);the apoptosis rate was decreased(P＜0.05);the mitochondrial membrane potential was increased(P＜0.05);the expression levels of Bax and Caspase3 were decreased(P＜0.05);the expression of Bcl-2 was increased(P＜0.05);the expressions of Syn and PSD-95 were increased(P＜0.05);the expression levels of Pink1,LC3A/B,Parkin,and Beclin-1 were increased(P＜0.05),and the expression of P62 was decreased(P＜0.05).These findings indicate that Lycium barbarum polysaccharide may inhibit β-amyloid protein 1-42-induced damage to SH-SY5Y cells by regulating mitophagy,reduce cell apoptosis,and increase neuronal synaptic plasticity.