Objective:To investigate the value of diffusion kurtosis imaging (DKI) and 18F-prostate specific membrane antigen (PSMA)-1007 in the differential diagnosis of prostate cancer (PCa) and benign prostatic hyperplasia (BPH) by using PET/MR imaging. Methods:From June 2019 to December 2022, a retrospective analysis was conducted on 134 patients ((65.5±10.0) years) with prostate diseases who underwent 18F-PSMA-1007 PET/MR whole-body examination at Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, with the prostate specific antigen (PSA) level continuously rising to >4μg/L within 1 month and not yet receiving treatment. Patients were divided into 2 groups (PSA<10μg/L and PSA≥10μg/L). The PET/MR examination included high b-value diffusion imaging, and the ROI was delineated based on the prostate diffusion weighted imaging (DWI) high-signal area and apparent diffusion coefficient (ADC) low-signal area by the professional radiology physician. The SUV max, mean kurtosis (MK), and mean diffusivity (MD) were obtained. Spearman rank correlation analysis was performed, and ROC curve was used to analyze the diagnostic efficacy. Results:Of 134 patients, 72 were with PSA<10μg/L and 62 were with PSA≥10μg/L. There were 68 patients who obtained biopsy results, including 37 cases of BPH and 31 cases of PCa. In PSA<10μg/L group, there were no significant correlations between MK and SUV max, MK and PSA ( rs values: 0.22, 0.06, P values: 0.065, 0.603). In the PSA≥10μg/L group, there were positive correlations between MK and SUV max, MK and PSA ( rs values: 0.52, 0.40, P values: 0.008, 0.005). In the PSA<10μg/L group, SUV max, MK, and MD showed no diagnostic value (AUCs: 0.44-0.67, all P>0.05), while the AUC for combined diagnosis using these three parameters was 0.78( P=0.008). In the PSA≥10μg/L group, the AUCs of SUV max, MK, and MD were 0.81( P=0.001), 0.84( P<0.001) and 0.72( P=0.023) respectively, and the AUC for combined diagnosis using these three parameters was 0.91( P<0.001). Conclusion:The combination of MK, MD and SUV max improves the diagnostic efficacy of PCa in PET/MR examination.

As a common environmental chemical with a wide range of uses and diverse exposure pathways, barium poses potential threats to human health. Exposure to barium during pregnancy, in particular, has been found to have adverse effects on maternal and infant health and has become a major public health concern. Based on existing research findings, this article provides a comprehensive analysis of the sources of barium exposure, the association between gestational barium exposure and pregnancy complications or adverse pregnancy outcomes, its impact on birth outcomes and growth and development among children, and the possible biological mechanisms. The aim is to provide theoretical support and references needed to formulate effective public health strategies that mitigate the harm caused by barium exposure to maternal and infant health.

The diagnostic value of Mycobacterium tuberculosis(MTB)complex and rifampicin resistance test kits(fluorescence PCR method)in detecting for MTB complex and rifampicin resistancein sputum samples was evaluated.A total of 271 patients with suspected tuberculosis were prospectively and consecutively enrolled at Hunan Chest Hospital between April 1,2024,and November 30,2024.Of these,229 patients were confirmed to have tuberculosis,whereas 42 patients were not-tuberculosis samples were col-lected from all patients and subjected to fluorescence PCR,Xpert MTB/RIF(abbreviated as Xpert),and MGIT 960 culture and drug sensitivity testing.Clinical diagnosis and MTB culture results served as reference standards for TB diagnosis,whereas phenotypic drug susceptibility testing and Xpert served as reference standards to for assessment of rifampicin resistance.The sensitivity,specificity,positive predictive value,and negative predictive value of the fluorescence PCR method were analyzed.Kappa tests were performed to analyze the concordance between detection techniques.With clinical diagnosis as the gold standard,the sensitivity and specificity of the fluorescence PCR method for the diagnosis of TB were 65.1%(149/229)and 97.6%(41/42),and the consistency test for the fluo-rescence PCR and Xpert methods showed high consistency(Kappa value=0.993).With the MGIT 960 liquid culture as the reference standard,the positive detection rate of the fluorescence PCR method for the detection of patients with positive cultures was 91.9%(102/111,95%CI:85.2%-96.2%),and the positive detection rate for 147 patients with sputum culture-negative TB was 27.9%(41/147,95%CI:21.3%-35.6%).With the phenotypic drug sensitivity test as the gold standard,the sensitivity and specificity of the fluo-rescence PCR method for the detection of rifampicin resistance were 100.0%(31/31)and 96.6%(28/29)respectively,and the consis-tency between tests was high(Kappa value=0.967).With Xpert as the gold standard,the sensitivity and specificity of fluorescence PCR for the detection of rifampicin resistance were 95.8%(46/48)and 99.0%(99/100),respectively,and the consistency between tests was high(Kappa value=0.953).Finally,samples with rifampicin resistance detected with the fluorescence PCR method had a clear rpoB gene mutation type according to one-generation sequencing.In conclusion,the fluorescence PCR method showed high sen-sitivity in detecting MTB complex groups and rifampicin resistance,and had high concordance with Xpert.Therefore,this technique can serve a rapid test for TB diagnosis to increase the rate of positive TB pathology and detection of rifampicin resistance.This method is particularly suitable for use in lower-income countries and economically disadvantaged grassroots communities.

Alzheimer's disease (AD) is a kind of progressive neurodegenerative disease, which has become the leading cause of dementia in the elderly. In recent years, non-invasive brain stimulation (NIBS), including transcranial magnetic stimulation, transcranial electrical stimulation, focused ultrasound stimulation and transcranial photobiomodulation, has been widely used in AD treatment. Although NIBS can improve the clinical symptoms of AD patients, its efficacy is still controversial. This article reviews the latest research progress in role of NIBS in AD so as to provide reference for clinical workers.

Objective:To explore the capability of deep learning image reconstruction (DLIR) compared to adaptive statistical iterative reconstruction (ASiR-V) in improving the image quality and myocardial edge sharpness of dynamic stress myocardial CT perfusion imaging (CTP).Methods:Thirty subjects who underwent dynamic stress myocardial CTP at Guangdong Provincial People′s Hospital from September 2023 to February 2024 were recruited. Image data of all enrolled patients were reconstructed using ASiR-V 50%, ASiR-V 80%, medium-intensity DLIR(DLIR-M), and high-intensity DLIR(DLIR-H), respectively. Regions of interest were selected in the left ventricular cavity, interventricular septum, and left ventricular lateral wall for measurement of CT values and standard deviations (SD), and calculation of signal to noise ratio (SNR) and contrast to noise ratio (CNR). Matlab was utilized to obtain the differences (d) and slopes (s) of CT value changes at four left ventricular myocardial edges for objective edge sharpness evaluation. Two radiologists subjectively scored the images for noise, natural appearance, and edge sharpness. In case of disagreement between the two radiologists, a third senior radiologist′s score was decisive. Left ventricular myocardial blood flow (MBF) of ASiR-V and DLIR images with lower SD, higher SNR and CNR were calculated, respectively. When the normal distribution was satisfied, the independent sample t test was used for comparison between two groups, and the random block design ANOVA was used for comparison between multiple groups. And analysis was conducted using Friedman test for non-normally distributed data, and Bonferroni correction for pairwise comparisons. Results:There were statistically significant differences in SD, SNR, and CNR among the four images in the interventricular septum and left ventricular lateral wall (all P<0.05), with ASiR-V 80% and DLIR-H demonstrating the lowest SD, highest SNR and CNR, and the subjective image noise score. Statistically significant differences were observed in d and s for the four left ventricular myocardial edges (all P<0.05), with DLIR-M and DLIR-H exhibiting the best objective edge sharpness [5 (5, 5)], and ASiR-V 80% the worst [3.5 (3, 4)]. In the subjective scores for natural appearance, DLIR-M and DLIR-H received the highest scores [5 (5, 5)], while ASiR-V 80% received the lowest scores [3 (3, 4)], with statistically significant differences (all P<0.05). There was no statistically significant difference in MBF values calculated from ASiR-V 80% and DLIR-H images (all P>0.05). Conclusions:The SD value, SNR and CNR of dynamic stress myocardial CTP images reconstructed by DLIR-H are equivalent to ASiR-V 80%, and using DLIR-H can improve the edge sharpness of left ventricular myocardium without affecting the calculation of MBF.

As a common environmental chemical with a wide range of uses and diverse exposure pathways, barium poses potential threats to human health. Exposure to barium during pregnancy, in particular, has been found to have adverse effects on maternal and infant health and has become a major public health concern. Based on existing research findings, this article provides a comprehensive analysis of the sources of barium exposure, the association between gestational barium exposure and pregnancy complications or adverse pregnancy outcomes, its impact on birth outcomes and growth and development among children, and the possible biological mechanisms. The aim is to provide theoretical support and references needed to formulate effective public health strategies that mitigate the harm caused by barium exposure to maternal and infant health.

Objective:To investigate the value of diffusion kurtosis imaging (DKI) and 18F-prostate specific membrane antigen (PSMA)-1007 in the differential diagnosis of prostate cancer (PCa) and benign prostatic hyperplasia (BPH) by using PET/MR imaging. Methods:From June 2019 to December 2022, a retrospective analysis was conducted on 134 patients ((65.5±10.0) years) with prostate diseases who underwent 18F-PSMA-1007 PET/MR whole-body examination at Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, with the prostate specific antigen (PSA) level continuously rising to >4μg/L within 1 month and not yet receiving treatment. Patients were divided into 2 groups (PSA<10μg/L and PSA≥10μg/L). The PET/MR examination included high b-value diffusion imaging, and the ROI was delineated based on the prostate diffusion weighted imaging (DWI) high-signal area and apparent diffusion coefficient (ADC) low-signal area by the professional radiology physician. The SUV max, mean kurtosis (MK), and mean diffusivity (MD) were obtained. Spearman rank correlation analysis was performed, and ROC curve was used to analyze the diagnostic efficacy. Results:Of 134 patients, 72 were with PSA<10μg/L and 62 were with PSA≥10μg/L. There were 68 patients who obtained biopsy results, including 37 cases of BPH and 31 cases of PCa. In PSA<10μg/L group, there were no significant correlations between MK and SUV max, MK and PSA ( rs values: 0.22, 0.06, P values: 0.065, 0.603). In the PSA≥10μg/L group, there were positive correlations between MK and SUV max, MK and PSA ( rs values: 0.52, 0.40, P values: 0.008, 0.005). In the PSA<10μg/L group, SUV max, MK, and MD showed no diagnostic value (AUCs: 0.44-0.67, all P>0.05), while the AUC for combined diagnosis using these three parameters was 0.78( P=0.008). In the PSA≥10μg/L group, the AUCs of SUV max, MK, and MD were 0.81( P=0.001), 0.84( P<0.001) and 0.72( P=0.023) respectively, and the AUC for combined diagnosis using these three parameters was 0.91( P<0.001). Conclusion:The combination of MK, MD and SUV max improves the diagnostic efficacy of PCa in PET/MR examination.

Objective: To explore the association between negative life events and smartphone addiction among middle school students, so as to provide theoretical support and practical guidance for prevention and intervention of smartphone addiction among middle school students. Methods: Using cluster sampling, 8 890 students were selected to survey from 27 junior high schools and 3 senior high schools in a district of Shenzhen in 2022 (baseline) and 2023 (followup). Data were collected through selfresigned questionnaires on basic information, the Smartphone Addiction Scale-Short Version, and the Adolescent Selfrating Life Events Checklist. Mixedeffects models were employed to analyze the association. Results: Compared to 2022, the punishment scores of middle school students in 2023 [1.00 (0.00, 6.00) and 1.00 (0.00, 6.00)] decreased (Z=4.27), while the scores of interpersonal stress, learning stress and adaptation [4.00(0.00, 8.00), 4.00(0.00, 8.00); 4.00(1.00, 8.00), 5.00(2.00, 9.00); 2.00 (0.00, 6.00), 3.00 (0.00, 7.00)] increased (Z=-3.04, -8.36, -6.80) (P<0.01). Mixedeffects models revealed a positive doseresponse relationship between negative life events and smartphone addiction (OR=1.08-1.17, P<0.01). Stepwise regression showed independent positive effects of interpersonal stress (OR=1.05), academic stress (OR=1.03), and adaptation stress (OR=1.11) on smartphone addiction (P<0.01). Subgroup analysis of nonaddicted students in 2022 confirmed persistent associations for academic stress (OR=1.03) and adaptation (OR=1.07) (P<0.01). Conclusion Negative life events exhibit a positive doseresponse relationship with smartphone addiction, particularly interpersonal stress, academic stress, and adaptationrelated events.

Objective: To explore the longitudinal association between only-child status and smartphone addiction among middle school students, so as to provide a basis for establishing family intervention measures for smartphone addiction in middle school students. Methods: In October 2022 and October 2023, a preliminary survey and follow-up were conducted among 8 759 middle and high school students from 30 schools in a district of Shenzhen. A self-designed questionnaire was used to determine whether the students were the only-child, and the Chinese Version of the Smartphone Addiction Scale-Short Version (C-SAS-SV) was utilized to assess the students smartphone addiction status. A multilevel mixed-effects model and subgroup analysis were applied to examine the association between only-child status and smartphone addiction among middle school students. Results: During 2022 to 2023, the prevalence of smartphone addiction in the cohort of middle school students increased from 24.1% to 25.2%. Compared with only-child, non-only child were more likely to be addicted to smartphones (adjusted model: OR =1.2, 95% CI =1.1-1.4) and also scored higher on smartphone addiction (adjusted model: β =0.9, 95% CI =0.2-1.5)( P <0.05). Subgroup analysis further revealed that compared to baseline, non-only child demonstrated an increased prevalence of smartphone addiction (adjusted model: OR = 1.2 , 95% CI =1.0-1.5) and higher addiction scores (adjusted model: β =0.8, 95% CI =0.2-1.5) after one year( P <0.05). Conclusions Non-only child face higher risk of smartphone addiction. Under the current population policy, it is crucial to address smartphone addiction among middle school students who is not only child.

Objective: To explore the potential causal association between adolescent compulsive behaviour and smartphone addiction based on longitudinal data, so as to provide reference for the establishment of adolescent smartphone addiction interventions. Methods: A preliminary survey and follow-up were conducted on 8 907 middle and high school students in a district of Shenzhen in 2022 and 2023, respectively. Compulsive behaviours were measured by using the Mental Health Inventory for Middle School Students-60 Items (MMHI-60), smartphone addiction was assessed by using the Smartphone Addiction Scale-Short Version ( SAS- SV), and the associations between compulsive behaviours and smartphone addiction were analysed by using multilevel mixed-effects models and subgroup analyses. Results: Smartphone addiction detection rates among middle school students were significantly associated with genders, father s education level, mother s education level, study load subgroups, and whether or not they were single-parent families, and there were statistical differences ( χ 2=17.21-175.34, P <0.05). Students with compulsive behaviours were 2.98 times more likely to develop smartphone addiction than those without compulsive behaviours ( OR=2.98, 95%CI=2.77-3.22, P <0.05). Subgroup analysis of middle school students without smartphone addiction in the first year found that compulsive behaviours significantly predicted smartphone addiction ( OR= 1.76 , 95%CI=1.54-2.01, P <0.05). Conclusion There is a potential causal association between obsessive-compulsive behaviours and smartphone addiction in middle school students, and obsessive-compulsive behaviours in middle school students could significantly predicted the occurrence of smartphone addiction.