Objective:To explore the application value of radiomics models based on MRI of vertebrae and paravertebral muscles in identifying potential vertebral fragility fracture risk in osteoporosis and osteopenia.Methods:This cross-sectional study collected data from patients who underwent both dual-energy X-ray absorptiometry (DXA) and lumbar MRI at the Third Affiliated Hospital of Southern Medical University between January 2014 and December 2023,retrospectively. Based on DXA results, patients were categorized into osteoporosis group ( n=302) and osteopenia group ( n=264), with fracture and non-fracture patients matched at 1∶1 ratio by propensity score matching based on age, gender, and body mass index. The fourth lumbar vertebra was selected as the region of interest (ROI) for the vertebral body, and the bilateral psoas major, erector spinae, and multifidus muscles were selected as the ROIs for the paraspinal muscles. A total of 7 259 radiomics features were extracted from these ROIs. The dataset was divided into a training set and a test set in an 8∶2 ratio by simple random sampling (osteoporosis group 241 and 61 cases, osteopenia group 211 and 53 cases). The T-score was used to establish the clinical model. After feature normalization and dimensionality reduction, logistic regression was applied to build three radiomics models: vertebral model, paraspinal muscle model, and vertebral-paraspinal muscle model. The T-score was then combined with the radiomics model that achieved the highest area under the receiver operating characteristic curve (AUC) in the test set to construct a clinical-radiomics combined model. Model performance was evaluated using the AUC. The DeLong test was used to compare the diagnostic efficacy between models. Results:In the test set, the vertebral-paravertebral muscle model achieved the highest AUC among radiomics models and was selected for combination with the T-score. In identifying potential vertebral fragility fractures of osteoporosis group, the AUC (95% CI) of the clinical model, vertebral model, paraspinal muscle model, vertebral-paraspinal muscle model, and clinical-radiomics model were 0.523 (0.373-0.672), 0.869 (0.779-0.959), 0.608 (0.464-0.752), 0.876 (0.791-0.961), and 0.860 (0.769-0.952), respectively. For osteopenia group, the corresponding AUC(95% CI) were 0.625 (0.467-0.783), 0.696 (0.547-0.845), 0.706 (0.563-0.848), 0.816 (0.702-0.930), and 0.820 (0.710-0.930). The DeLong test showed that the vertebral model for identifying the potential vertebral fracture risk in osteoporosis group had better performance than the paraspinal muscle model ( Z=3.28, P=0.001). While for osteopenia group, there was no significant difference in diagnostic performance between the vertebral model and the paraspinal muscle model ( Z=0.09, P=0.932). The recognition efficacy of the clinical model and the vertebral-paraspinal muscle model was significantly different ( Z=3.69, 1.98; P<0.001, P=0.047), while there was no significant difference between the clinical-radiomics combined model and the vertebral-paraspinal muscle model ( Z=1.51, 0.12; P=0.131, 0.904). Conclusion:The MRI-based vertebral-paraspinal muscle radiomics model can effectively identify osteoporosis or osteopenia patients with potential fragility fracture risk. In osteopenia group, the efficacy of the MRI radiomics models based on the vertebra and paraspinal muscles in identifying potential vertebral fragility fracture risk is comparable.

One of the significant hurdles in telemedicine, particularly in ophthalmology, is the absence of direct physical examination. This specialty depends extensively on specialized instruments that typically require proficient operators. Visual function tests are crucial for both outpatient and inpatient ophthalmic services, playing a vital role in screening, diagnosing, monitoring treatment effectiveness, and managing follow-ups for various eye conditions. The progress in mobile technology has paved the way for expanding these tests beyond traditional clinic settings, promoting the creation of patient-focused, straightforward, cost-effective, and efficient measurement tools. In light of the swift advancement of digital technologies, this article reviews the characteristics, and reliability of self-administered visual function tests tools, including visual acuity, refractive error assessment, visual field, contrast sensitivity, and color vision, along with other pertinent diagnostic tools that have been developed and validated for accuracy and repeatability through research, with a view to providing ophthalmologists and patients with scientific and practical references when selecting and using these tools, further promoting efficiency and efficacy of teleophthalmology.

Objective:To explore the application value of radiomics models based on MRI of vertebrae and paravertebral muscles in identifying potential vertebral fragility fracture risk in osteoporosis and osteopenia.Methods:This cross-sectional study collected data from patients who underwent both dual-energy X-ray absorptiometry (DXA) and lumbar MRI at the Third Affiliated Hospital of Southern Medical University between January 2014 and December 2023,retrospectively. Based on DXA results, patients were categorized into osteoporosis group ( n=302) and osteopenia group ( n=264), with fracture and non-fracture patients matched at 1∶1 ratio by propensity score matching based on age, gender, and body mass index. The fourth lumbar vertebra was selected as the region of interest (ROI) for the vertebral body, and the bilateral psoas major, erector spinae, and multifidus muscles were selected as the ROIs for the paraspinal muscles. A total of 7 259 radiomics features were extracted from these ROIs. The dataset was divided into a training set and a test set in an 8∶2 ratio by simple random sampling (osteoporosis group 241 and 61 cases, osteopenia group 211 and 53 cases). The T-score was used to establish the clinical model. After feature normalization and dimensionality reduction, logistic regression was applied to build three radiomics models: vertebral model, paraspinal muscle model, and vertebral-paraspinal muscle model. The T-score was then combined with the radiomics model that achieved the highest area under the receiver operating characteristic curve (AUC) in the test set to construct a clinical-radiomics combined model. Model performance was evaluated using the AUC. The DeLong test was used to compare the diagnostic efficacy between models. Results:In the test set, the vertebral-paravertebral muscle model achieved the highest AUC among radiomics models and was selected for combination with the T-score. In identifying potential vertebral fragility fractures of osteoporosis group, the AUC (95% CI) of the clinical model, vertebral model, paraspinal muscle model, vertebral-paraspinal muscle model, and clinical-radiomics model were 0.523 (0.373-0.672), 0.869 (0.779-0.959), 0.608 (0.464-0.752), 0.876 (0.791-0.961), and 0.860 (0.769-0.952), respectively. For osteopenia group, the corresponding AUC(95% CI) were 0.625 (0.467-0.783), 0.696 (0.547-0.845), 0.706 (0.563-0.848), 0.816 (0.702-0.930), and 0.820 (0.710-0.930). The DeLong test showed that the vertebral model for identifying the potential vertebral fracture risk in osteoporosis group had better performance than the paraspinal muscle model ( Z=3.28, P=0.001). While for osteopenia group, there was no significant difference in diagnostic performance between the vertebral model and the paraspinal muscle model ( Z=0.09, P=0.932). The recognition efficacy of the clinical model and the vertebral-paraspinal muscle model was significantly different ( Z=3.69, 1.98; P<0.001, P=0.047), while there was no significant difference between the clinical-radiomics combined model and the vertebral-paraspinal muscle model ( Z=1.51, 0.12; P=0.131, 0.904). Conclusion:The MRI-based vertebral-paraspinal muscle radiomics model can effectively identify osteoporosis or osteopenia patients with potential fragility fracture risk. In osteopenia group, the efficacy of the MRI radiomics models based on the vertebra and paraspinal muscles in identifying potential vertebral fragility fracture risk is comparable.

Objective:To systematically review the profile of lymph node dissection (LND) for patients with intrahepatic cholangiocarcinoma (ICC) in China.Methods:Using the key words "intrahepatic cholangiocarcinoma" "intrahepatic cholangiocellular carcinoma" "lymph node dissection" "lymphadenec-tomy" "lymph node metastasis", the databases including China Zhiwang, Wanfang, Weipu, Sinomed, PubMed, Embase, Web of Science, Scopus, Cochrane Library were systematically searched. Cohort studies or randomized controlled clinical trials with intraoperative LND documentation and with analysis on the clinicopathologic characteristics or prognostic influences on patients with ICC were included into this meta-analysis from the date of database creation to April 20, 2022. The risk of bias in non-randomized controlled trials was evaluated using the Newcastle-Ottawa scale. A meta-analysis of preoperative imaging lymph node enlargement rates, LND rates, and pathological lymph node metastasis rates were performed using R software.Results:Thirty-three relevant studies that met the systematic evaluation criteria were included, all of which were retrospective cohort studies. All these publications were of medium to high quality. Patients’ enrollment ranged from 1993 to 2020. Patients were enrolled from 20 provinces/autonomous regions/municipalities with a total of 39 medical centers and 4 278 patients. The meta-analysis indicated that the LND rate, preoperative imaging lymph node enlargement rate, pathological lymph node metastasis rate were 47.8%(95% CI: 41.3%-54.3%), 18.5%(95% CI: 7.5%-29.6%) and 51.2%(95% CI: 43.8%-58.6%), respectively. Subgroup analysis showed the LND rate was 36.0%(95% CI: 27.0%-45.0%) in studies with a median year of enrollment before 2010, 48.3% (95% CI: 38.1%-58.6%) in studies from 2010 to 2017, and 53.3%(95% CI: 43.3%-63.2%) in studies after 2017. The LND rates were statistically different in the studies in the different periods of patient enrollment ( P=0.032). Conclusion:The meta-analysis indicated that the overall LND rate for ICC in China was not high but showed an increasing tendency.

Humans ; Parkinson Disease/diagnosis* ; Machine Learning

Objective:To comparatively study the similarities and differences between the clinical, pathological, and risk factors of advanced fibrosis in men and women with non-alcoholic fatty liver disease (NAFLD).Methods:267 patients with NAFLD diagnosed by liver biopsy were retrospectively included, and were divided into male and female groups. The difference of clinical and pathological indexes were compared between the two groups. The measurement data were in accordance with normal distribution. The comparison between the two groups was performed by independent sample t-test. The non-parametric test was used for non-normal distribution. The classification data were expressed as a percentage, and the chi-square test was used for comparison between groups. Logistic regression analysis was used to analyze the risk factors.Results:The age of onset of NAFLD was significantly lower in male than female patients ( P < 0.01). There was no statistically significant difference between the male and female groups in terms of body mass index and the prevalence of type 2 diabetes ( P > 0.05). Biochemical index: The levels of alanine aminotransferase, albumin, total bilirubin and uric acid were significantly higher in male than female patients ( P < 0.01). Liver pathology: The proportion of ballooning degeneration was significantly lower in male than female patients ( P < 0.01). There was not statistically significant difference between the two groups in the proportion of steatohepatitis score, non-alcoholic steatohepatitis (52.0% vs. 61.5%, P = 0.283) and advanced liver fibrosis (14.3% vs. 17.8%, P = 0.162). Thrombocytopenia was a common independent risk factor for advanced stage liver fibrosis ( OR = 0.984, 0.978~0.989, P < 0.01). Type 2 diabetes was only an independent risk factor for advanced stage liver fibrosis in men ( OR = 6.557, 1.667~25.782), P < 0.01). Elevated AST was only an independent risk factor for advanced stage liver fibrosis in women ( OR = 1.016, 1.003~1.028, P = 0.012). Conclusion:In NAFLD patients, there are some clinical and pathological differences between genders. Platelets are a common predictor of advanced liver fibrosis in men and women. Type 2 diabetes in men and elevated aspartate aminotransferase in women can be regarded as independent risk factors for advanced liver fibrosis.

Objective:This study aims to study the mental health status of people with different identities during the fight against COVID-19. Further, we propose psychological intervention strategies for people with different identities.Methods:857 participants from Guangdong province (215 identified as first-level population referring to the impact severity of the outbreak, 91 as second-level population, 120 as third-level population, and 431 as fourth level population) were cross-sectionally surveyed online from January 30 to February 28, 2020. The Generalized Anxiety Disorder Scale (GAD-7), the Patient Health Questionnaire-9 (PHQ-9), and the Perceived Stress Scale (PSS-10) were used to evaluate the mental health status of different populations. The Kruskal-Wallis H test was used to test the differences of the total scores of these three scales across populations at different levels, and the groups were compared pairwise with the Bonferroni method. Finally, the Wilcoxon rank sum test was used to further analyze the dimensions between the scales. Results:In all 857 subjects, the total scores of GAD-7, PHQ-9, and PSS-10 were 4(1,8), 4(1,9), and 16(11,19), respectively. There were statistically significant differences in the scores of GAD-7 ( H=15.235, P<0.01), PHQ-9 ( H=9.265, P=0.026), and PSS-10 ( H=8.435, P=0.049) among different levels of the population. For the score of GAD-7, the anxiety severity of the first-level crowd was higher than that of the second-level crowd and the fourth-level crowd. The pairwise comparisons were statistically significant ( Z=-2.932, -4.012, -2.949, P<0.005); there were significant between-group differences in domains of "becoming easily annoyed or irritable" and "seemingly terrible things will happen". For the score of PHQ-9, the depression severity of the first-level crowd and the second-level crowd was higher than that of the fourth-level crowd, and the pairwise comparisons were statistically significant ( Z=-3.387, -2.682, P<0.005). There were significant between-group differences in domains of "difficult to fall asleep or not awake", "feeling depressed" and other related domains. For the score of PSS-10, the stress severity of the third-level crowd was higher than that of the first-level crowd and the fourth-level crowd ( Z=-2.702, -3.693, -2.735, P<0.005). There were significant between-group differences in domains of "feel confident", "life is as expected", "the ability to control anger", "the things are all under control", and other related domains. Conclusion:The impact of the COVID-19 on mental health in people with different identities is different, and appropriate psychological interventions should be provided for different populations according to their mental health status.

Objective:This study aims to study the mental health status of people with different identities during the fight against COVID-19. Further, we propose psychological intervention strategies for people with different identities.Methods:857 participants from Guangdong province (215 identified as first-level population referring to the impact severity of the outbreak, 91 as second-level population, 120 as third-level population, and 431 as fourth level population) were cross-sectionally surveyed online from January 30 to February 28, 2020. The Generalized Anxiety Disorder Scale (GAD-7), the Patient Health Questionnaire-9 (PHQ-9), and the Perceived Stress Scale (PSS-10) were used to evaluate the mental health status of different populations. The Kruskal-Wallis H test was used to test the differences of the total scores of these three scales across populations at different levels, and the groups were compared pairwise with the Bonferroni method. Finally, the Wilcoxon rank sum test was used to further analyze the dimensions between the scales. Results:In all 857 subjects, the total scores of GAD-7, PHQ-9, and PSS-10 were 4(1,8), 4(1,9), and 16(11,19), respectively. There were statistically significant differences in the scores of GAD-7 ( H=15.235, P<0.01), PHQ-9 ( H=9.265, P=0.026), and PSS-10 ( H=8.435, P=0.049) among different levels of the population. For the score of GAD-7, the anxiety severity of the first-level crowd was higher than that of the second-level crowd and the fourth-level crowd. The pairwise comparisons were statistically significant ( Z=-2.932, -4.012, -2.949, P<0.005); there were significant between-group differences in domains of "becoming easily annoyed or irritable" and "seemingly terrible things will happen". For the score of PHQ-9, the depression severity of the first-level crowd and the second-level crowd was higher than that of the fourth-level crowd, and the pairwise comparisons were statistically significant ( Z=-3.387, -2.682, P<0.005). There were significant between-group differences in domains of "difficult to fall asleep or not awake", "feeling depressed" and other related domains. For the score of PSS-10, the stress severity of the third-level crowd was higher than that of the first-level crowd and the fourth-level crowd ( Z=-2.702, -3.693, -2.735, P<0.005). There were significant between-group differences in domains of "feel confident", "life is as expected", "the ability to control anger", "the things are all under control", and other related domains. Conclusion:The impact of the COVID-19 on mental health in people with different identities is different, and appropriate psychological interventions should be provided for different populations according to their mental health status.

Objective:To study the expression and regulation of TLR2/4 in mycobacterium tuberculosis heat shock proteins 16. 3 (mycobacterium tuberculosis heat shock proteins 16. 3,MTB Hsp16. 3) effect on mouse bone marrow-derived macrophages in vitro. Methods:Bone marrow cells were isolated from tibia and femurs of BALB/c mice and incubated with GM-CSF,then detected the expression of CD11b and F4/80 with flow cytometry and observed morphology. The M0 macrophages were stimulated with MTB Hsp16. 3 for 0 h,12 h,24 h,36 h,48 h and 72 h. Real-time PCR detected the expression of TLR2/4 in intracellular at different time point. Silencing macrophages cell surface TLR2/4 molecules by siRNA technology which stimulated with MTB Hsp16. 3 for 0 h,12 h,24 h,36 h,48 h and 72 h. Real-time PCR detected the expression of TLR2/4,Ym-1,Fizz1,IL-10,TNF-α,iNOS and TGF-βin intracellular at different time point. Results:Morphology analysis showed that MTB Hsp16. 3 stimulated macrophages were round cells stretching out pseudopodia,whereas MTB Hsp16. 3 stimulated silencing TLR2/4 macrophages had elongated fibroblastoid. Real time PCR detected the expression of TLR2/4 were upregulated after MTB Hsp16. 3 stimulated M0 macrophages. MTB Hsp16. 3 stimulated silencing TLR2/4 macrophages the expression of IL-6, TNF-α, iNOS were upregulated, whereas IL-10, TGF-β, Ym-1 and Fizz1 were downregulated. Conclusion:MTB Hsp16. 3 may stimulated M0 macrophages to M2 macrophages and suppress M1 macrophages through binding with TLR2/4 receptor,which may be involved the progresss of MTB evaded macrophage phagocytosis.

Objective To observe the dynamic changes of Th17/Treg balance in patients following surgical intervention for intracranial aneurysm rupture. Methods The percentage of Th cells and the intracellular IL-17 level, Treg cell percentage and transforming growth factor-β1 (TGF-β1) levels were examined in 73 patients with rupture of aneurysms before and at 24 h, 72 h and 1 week after operation, with 62 patients with unruptured aneurysms and 65 healthy volunteers as the control. The correlations among the immune cells, cytokines and clinical characteristics of the patients (NIHSS, ADL and hospitalization stay) were analyzed. Results Th17 percentage and intracellular IL-17 levels were significantly higher in the patients with ruptured and unruptured aneurysms than in the healthy volunteers, and were significantly higher in patients with ruptured aneurysms than in those with unruptured aneurysms. Treg cell percentage and TGF-β1 level were significantly lower in patients with aneurysms than in the healthy volunteers, and were lower in patients with ruptured aneurysms than in those with uruptured aneurysms (P<0.05). Patients with intracranial aneurysm rupture showed significantly increased Th17 cell percentage and IL-17 level but significantly lowered Treg cell percentage and TGF-β1 at 24 h following the surgery (P<0.05);these changes were reversed significantly at 72 h and 1 week after the surgery. Th17 cell percentage and IL-17 level were positively correlated with NIHSS and the length of postoperative hospital stay but inversely correlated with ADL; Treg cell percentage and TGF-β1 were inversely correlated with NIHSS and hospital stay but positively with ADL (P<0.05). Conclusion In patients with intracranial aneurysms, the systemic immune inflammatory response is highlighted by excessive Th17 cells and insufficient Treg cells, which are closely related with the outcomes of the patients following surgical intervention. Evaluation of Th17/Treg balance and the cytokine levels can help to assess the prognosis of patients with aneurysm rupture.