Objective To evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological type of pulmonary nodules, and to summarize clinical application experience. Methods A retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological type of pulmonary nodules. Results In the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate logistic regression analysis showed that age, nodule type (subsolid pulmonary nodule), average density, spicule sign, and vascular convergence sign were independent influencing factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), spicule sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The area under the receiver operating characteristic curve (AUC) of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate logistic regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological type were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians’ prediction of lung nodule pathological type indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50.0%, respectively. Conclusion This AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological type of lung nodules, especially in predicting lung nodule pathological type, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.

Objective:To describe the clinical and pathological features of patients with myofasciitis.Methods:The clinical manifestations and auxiliary examination (laboratory, electromyogram, imaging and muscle biopsy) results of 52 patients with myofasciitis diagnosed by pathology at Peking University First Hospital from August 2002 to December 2024 were collected and analyzed.Results:Among the 52 patients (33 males and 19 females), the age of disease onset was (34.4±16.4) years (6.0-73.0 years) and the disease duration was 17.7 (0.3, 120.0) months; the main symptoms included myalgia in the distal limbs (28 cases, 53.8%), diffuse cutaneous or muscle sclerosis (21 cases, 40.4%), muscle weakness (22 cases, 42.3%) and limited joint activity (23 cases, 44.2%); 12 patients (23.1%) were combined with other diseases. All patients had no history of vaccination. Laboratory examinations showed that 80.8% (21/26) of patients had elevated C-reactive protein, 80.0% (20/25) had elevated erythrocyte sedimentation rate, and 26.5% (9/34) had elevated creatine kinase. Among 19 patients undergoing electromyography, 6 cases showed myogenic changes, 4 cases showed neurogenic changes, 1 case showed both myogenic and neurogenic changes, and 8 cases showed no obvious abnormality. Myofascial edema was observed in all 15 patients who underwent muscle magnetic resonance imaging, with partial involvement of adjacent muscles in some cases. According to myopathological changes, the 52 patients were divided into macrophagic myofasciitis in 41 cases (78.8%), lymphocytic myofasciitis in 7 cases (13.5%), and eosinophilic fasciitis in 4 cases (7.7%). Among the 52 patients, fibroblast proliferation in the myofascia was present in 39 cases (75.0%), subfascial muscle fiber atrophy in 28 cases (53.8%), and scattered muscle fiber necrosis and regeneration in 15 cases (28.8%). Major histocompatibility complex class Ⅰexpression on muscle fibers was positive in 89.5% (34/38) of patients, and membrane attack complex deposition on muscle fibers and/or capillary walls was present in 39.5% (15/38) of patients. Among 25 patients with follow-up, all received low-dose oral glucocorticoids, and 7 additionally received methotrexate, intravenous immunoglobulin, or hydroxychloroquine. During follow-up, 22 patients showed clinical improvement, 1 patient remained stable, and 2 patients died.Conclusions:Non-vaccine-associated macrophagic myofasciitis is the most common pathological subtype of myofasciitis. A few patients are concomitant with other diseases. Muscle magnetic resonance imaging is helpful in the diagnosis of the disease. Most patients respond to immunosuppressive treatment.

BACKGROUND: Lung cancer is one of the most common malignant tumors worldwide and a major cause of cancer-related deaths. Early-stage lung cancer is often manifested as pulmonary nodules, and accurate assessment of the malignancy risk is crucial for prolonging survival and avoiding overtreatment. This study aims to construct a model based on image feature parameters automatically extracted by artificial intelligence (AI) to evaluate its effectiveness in predicting the malignancy of part-solid nodule (PSN). METHODS: This retrospective study analyzed 229 PSN from 222 patients who underwent pulmonary nodule resection at Lanzhou University Second Hospital between October 2020 and February 2025. According to pathological results, 45 cases of benign lesions and precursor glandular lesion were categorized into the non-malignant group, and 184 cases of pulmonary malignancies were categorized into the malignant group. All patients underwent preoperative chest computed tomography (CT), and AI software was used to extract imaging feature parameters. Univariate analysis was used to screen significant variables; variance inflation factor (VIF) was calculated to exclude highly collinear variables, and LASSO regression was further applied to identify key features. Multivariate Logistic regression was used to determine independent risk factors. Based on the selected variables, five models were constructed: Logistic regression, random forest, XGBoost, LightGBM, and support vector machine (SVM). Receiver operating characteristic (ROC) curves were used to assess the performance of the models. RESULTS: The independent risk factors for the malignancy of PSN include roughness (ngtdm), dependence variance (gldm), and short run low gray-level emphasis (glrlm). Logistic regression achieved area under the curves ( AUCs) of 0.86 and 0.89 in the training and testing sets, respectively, showing good performance. XGBoost had AUCs of 0.78 and 0.77, respectively, demonstrating relatively balanced performance, but with lower accuracy. SVM showed an AUC of 0.93 in the training set, which decreased to 0.80 in the testing set, indicating overfitting. LightGBM performed excellently in the training set with an AUC of 0.94, but its performance declined in the testing set, with an AUC of 0.88. In contrast, random forest demonstrated stable performance in both the training and testing sets, with AUCs of 0.89 and 0.91, respectively, exhibiting high stability and excellent generalizability. CONCLUSIONS The random forest model constructed based on independent risk factors demonstrated the best performance in predicting the malignancy of PSN and could provide effective auxiliary predictions for clinicians, supporting individualized treatment decisions.
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Humans ; Male ; Female ; Lung Neoplasms/pathology* ; Middle Aged ; Retrospective Studies ; Artificial Intelligence ; Aged ; Tomography, X-Ray Computed ; Adult ; Solitary Pulmonary Nodule/diagnostic imaging* ; ROC Curve

BACKGROUND: The optimal antidepressant dosages remain controversial. This study aimed to analyze the efficacy of antidepressants and characterize their dose-response relationships in the treatments of major depressive disorders (MDD). METHODS: We searched multiple databases, including the Embase, Cochrane Central Register of Controlled Trials, PubMed, and Web of Science, for the studies that were conducted between January 8, 2016, and April 30, 2023. The studies are double-blinded, randomized controlled trials (RCTs) involving the adults (≥18 years) with MDD. The primary outcomes were efficacy of antidepressant and the dose-response relationships. A frequentist network meta-analysis was conducted, treating participants with various dosages of the same antidepressant as a single therapy. We also implemented the model-based meta-analysis (MBMA) using a Bayesian method to explore the dose-response relationships. RESULTS: The network meta-analysis comprised 135,180 participants from 602 studies. All the antidepressants were more effective than the placebo; toludesvenlafaxine had the highest odds ratio (OR) of 4.52 (95% confidence interval [CI]: 2.65-7.72), and reboxetine had the lowest OR of 1.34 (95%CI: 1.14-1.57). Moreover, amitriptyline, clomipramine, and reboxetine showed a linear increase in effect size from low to high doses. The effect size of toludesvenlafaxine increased significantly up to 80 mg/day and subsequently maintained the maximal dose up to 160 mg/day while the predictive curves of nefazodone were fairly flat in different dosages. CONCLUSIONS: Although most antidepressants were more efficacious than placebo in treating MDD, no consistent dose-response relationship between any antidepressants was observed. For most antidepressants, the maximum efficacy was achieved at lower or middle prescribed doses, rather than at the upper limit. REGISTRATION No. CRD42023427480; https://www.crd.york.ac.uk/prospero/display_record.php?
Humans ; Antidepressive Agents/therapeutic use* ; Depressive Disorder, Major/drug therapy* ; Dose-Response Relationship, Drug ; Randomized Controlled Trials as Topic

Objective To establish a rat model of ovarian endometriosis(EMS)using the horn reversion method,to provide an ideal animal model for exploring the pathogenesis and treatment of EMS.Methods Fifty SPF-grade female SD rats were divided randomly into five groups:a sham group,and 1,2,3,and 4 weeks after surgery groups,respectively(n=10 rats per group).Apart from the sham group,an ovarian-type EMS model was established in the other groups by the uterine horn refracture method,and the modeling success rate,and ectopic foci volume and mass were observed in each group.The morphology of ectopic foci was observed by hematoxylin-eosin(HE),and expression of proliferating cell nuclear antigen(PCNA),Ki67,epithelial cadherin(E-cadherin),and neural cadherin(N-cadherin)in the uterus and ectopic foci tissues were detected by immunohistochemistry.The model was further evaluated and the degree of cell proliferation and epithelial mesenchymal transformation at different times after modeling were analyzed.Results The modeling success rates in the 1,2,3,and 4 weeks after surgery groups were 80%,90%,100%,and 100%,respectively(P＞0.05).The volume and mass of the ectopic foci were significantly greater in the 3 and 4 weeks after surgery groups compared with the 1 and 2 weeks after surgery groups(P＜0.01).HE staining showed endometrial epithelial cells,mesenchymal cells and a few glands in the ectopic foci tissues.Immunohistochemical staining showed that expression levels of Ki67,PCNA,and N-cadherin in uterus tissues were significantly higher(P＜0.05,P＜0.01)in all the model groups compared with the sham group,while expression levels of E-cadherin were significantly lower(P＜0.05,P＜0.01).Expression levels of Ki67,PCNA,and N-cadherin in the uterus and ectopic foci tissues were significantly higher(P＜0.05,P＜0.01)in the 2,3,and 4 weeks after surgery groups compared with the 1 week after surgery group,while expression levels of E-cadherin were significantly lower(P＜0.05,P＜0.01).Conclusion The uterine horn reversion method can be used to establish an ovarian EMS model in rats.Ectopic lesions can be observed 1 week after surgery.The success rate of modeling increases with modeling time,stabilizing at 3 weeks postoperatively.Ki67,PCNA,and N-cadherin were significantly expressed in the uterus and ectopic foci tissues,and their expression levels increased with modeling time,while E-cadherin expression in the uterus and ectopic foci tissues decreased with modeling time.These results showed good modeling success of the EMS rat model,suggesting that it could be used as a stable EMS modeling method.

Objective:To investigate the longitudinal patterns and influencing factors of platelet counts among healthy adults in Sichuan Province from 2010 to 2021, and to inform the establishment of region-specific reference intervals for platelet counts.Methods:This study is a retrospective study. A total of 7 808 healthy adults who underwent annual physical examinations at West China Hospital, Sichuan University, between January 2010 and December 2021 were included. All participants were permanent Chengdu residents and completed consecutive complete blood count tests. Group-based trajectory modeling (GBTM) was used to identify distinct trajectories of platelet count over the ten-year period. One-way analyses were then conducted to compare baseline demographic characteristics (sex and age) among the different trajectory groups.Results:Among 7 808 participants, 4 589 (58.8%) were male and 3 219 (41.2%) were female. Four platelet count trajectories were identified by GBTM: steadily increasing group [27.4% (2 139/7 808)], early increase-plateau group [44.1% (3 445/7 808)], early decrease-subsequent increase group [5.4% (422/7 808)], and steadily decreasing group [23.1% (1 802/7 808)], with an average growth rate of 3.3%, 1.6%, 0.7%, and -0.6%, respectively. There were statistically significant differences in both sex and age distributions among the four trajectory groups. Sex-distribution differed significantly across the four trajectory groups ( χ2=73.3, P<0.001). The male proportions in the four trajectory groups were 59.6% (1 275/2 139), 62.8% (2 165/3 445), 48.1% (203/422), and 52.5% (946/1 802), respectively. The baseline ages were 45 (36, 55), 43 (35, 53), 50 (40, 60), and 47 (39, 58) years, respectively (H=121.0, P<0.001). Conclusions:Healthy adults in Sichuan Province exhibit four longitudinal trajectories of platelet counts: steadily increasing, early increase-plateau, early decrease-subsequent increase, and steadily decreasing. The two trajectories characterized by rising platelet counts (steadily increasing group and early increase-plateau group) exhibited higher male predominance and lower median ages, whereas the early decrease-subsequent increase group and the steadily decreasing group exhibited lower male proportions and higher median ages. Therefore, while establishing reference intervals and developing health management strategies for platelet counts, it is essential to account for the sex, age characteristics and the population′s dynamic changes.

In patients with heart failure with reduced ejection fraction(HFrEF),some individuals demonstrate significant improvement in left ventricular ejection fraction(LVEF)during subsequent evaluations after treatment.The 2022 American Heart Association/American College of Cardiology/Heart Failure Society of America(AHA/ACC/HFSA)heart failure management guidelines introduced the term"heart failure with improved ejection fraction(HFimpEF)"to describe patients with prior LVEF≤40%that subsequently increased above 40%during follow-up.Studies indicate that HFimpEF patients exhibit lower all-cause mortalities and heart failure rehospitalization rates,with a significantly better prognosis compared to HFrEF patients,establishing HFimpEF as a staged therapeutic target for HFrEF.Current discussion on HFimpEF primarily focuses on two aspects:characteristics of the target population and effective methods for LVEF improvement,and maintenance strategies for cardiac function preservation in HFimpEF patients;particularly the latter lacks clear clinical-guideline recommendations.Therefore,reviewing existing research to systematically summarize therapeutic strategies that promote the HFrEF-to-HFimpEF transition and effective maintenance approaches for HFimpEF becomes crucial.This article comprehensively reviews the LVEF-improving effects of current pharmacological,device-based,and surgical interventions,along with monitoring and management strategies for HFimpEF patients.In HFrEF patients,clinical evidence suggests that β-blockers and cardiac resynchronization therapy can significantly improve LVEF beyond 40%.Regarding HFimpEF management,sodium-glucose cotransporter-2 inhibitors(SGLT2i)and renin-angiotensin system inhibitors(RASi)demonstrate efficacy in maintaining LVEF and cardiac function.Additionally,this review identifies current research limitations in HFimpEF and proposes potential future research directions.

Objectives:This study aims to evaluate the relationship between the triglyceride-glucose body mass index(TyG-BMI),the right pericoronary fat attenuation index(RCA-FAI),and prognosis in patients with coronary artery disease(CAD).Methods:This study included 513 CAD patients who underwent coronary computed tomography angiography(CCTA)and coronary angiography between April 2018 and June 2023.Data collection and parameter calculations were performed for all research variables.The patients were stratified into three groups based on TyG-BMI tertiles:T1 group(TyG-BMI≤207.02,n=171),T2 group(207.02

BACKGROUND:Long non-coding RNA(LncRNA)plays an important role in nervous system development and neurological diseases.Previous studies by the research team have demonstrated that human umbilical cord mesenchymal stem cells overexpressing erythropoietin(EPO-MSCs)under ischemic and hypoxic conditions have better neuroprotective functions and significantly activate the expression of LncRNA XIST.Research suggests that XIST is related to the pathogenesis of hypoxic-ischemic encephalopathy,but the role and mechanism of its regulation by EPO-MSCs in protecting ischemic-hypoxic neurons remain unclear.OBJECTIVE:To explore the new mechanism by which LncRNA XIST,in response to EPO-MSC signaling,affects the apoptosis of ischemic-hypoxic SH-SY5Y cells.METHODS:(1)SH-SY5Y cell lines with knockdown of LncRNA XIST(sh-XIST)and negative control(NC-XIST)were constructed through lentiviral transfection.Oxygen-glucose deprivation was used to induce ischemic-hypoxic injury in the cells.Transwell chambers were used to create a non-contact co-culture system with EPO-MSCs,sh-XIST,and NC-XIST ischemic-hypoxic SH-SY5Y cells.Cell proliferation ability was detected using the CCK-8 assay.Cell migration ability was assessed using the scratch assay,and cell apoptosis was measured by flow cytometry.(2)RNA-seq bioinformatics analysis was performed to screen for differentially expressed genes and pathways between sh-XIST and NC-XIST cell lines.Dual-luciferase experiments were used to verify the relationship between miR-124-3p and the target genes XIST and GRIN1.qRT-PCR was conducted to validate the expression levels of downstream miR-124-3p and GRIN1 genes.(3)miR-124-3p inhibitors and mimics were added to verify phenotypic changes in SH-SY5Y cells after ischemic-hypoxic injury and co-culture with EPO-MSCs.RESULTS AND CONCLUSION:(1)Compared with the NC-XIST group,SH-SY5Y cells in the sh-XIST group showed reduced proliferation and migration abilities and increased apoptosis after ischemic-hypoxic injury and co-culture with EPO-MSCs.(2)Dual-luciferase experiments showed that miR-124-3p interacted with the target gene XIST.SH-SY5Y cells transfected with miR-124-3p mimics and co-cultured with EPO-MSCs showed decreased apoptosis after ischemic-hypoxic injury,while SH-SY5Y cells transfected with miR-124-3p inhibitors showed increased apoptosis after co-culture with EPO-MSCs.(3)Transcriptomic sequencing and bioinformatics analysis of sh-XIST revealed significant downregulation of the neuroactive ligand-receptor pathway and the key receptor gene GRIN1 for central nervous system development.(4)Dual-luciferase experiments showed that miR-124-3p interacted with GRIN1.GRIN1 expression was significantly downregulated in the sh-XIST group after ischemic-hypoxic injury compared with the NC-XIST group.These findings indicate that LncRNA XIST promotes GRIN1 expression by upregulating miR-124-3p,thereby reducing cell apoptosis after ischemic-hypoxic injury and co-culture with EPO-MSCs and enhancing proliferation and migration.sh-XIST can block this protective function.

Objective This study aimed to investigate the relationship between malnutrition and coronary inflammation,and explore the interaction and mediating effects of coronary inflammation in the association between malnutrition and major adverse cardiovascular events(MACE).Methods A retrospective analysis was conducted on 428 patients diagnosed with coronary heart disease at the Central China Fuwai Hospital from May 2018 to July 2022.All patients underwent coronary angiography(CAG)and coronary computed tomography angiography(CCTA).The TCB index(triglycerides×total cholesterol×body weight)and the coronary fat attenuation index around the proximal right coronary artery(RCA-FAI)were used to assess patients' nutritional state and the degree of coronary inflammation,respectively.The study endpoint was MACE.We used linear regression models to analyze the correlation between TCBI and RCA-FAI,cox regression models to assess the correlation of TCBI and RCA-FAI with MACE,and mediation analysis to investigate whether RCA-FAI mediated the relationship between TCBI and MACE.Results A total of 428 patients were included in the study.There was a negative correlation between RCA-FAI and TCBI(r=-0.224,P<0.001).After adjusting for potential confounders,each standard deviation decrease in the TCBI index was associated with a 2.20 HU increase in RCA-FAI(95%CI:-3.40～-1.19,P<0.001).During a mean follow-up period of 2.15 years,51 MACE occurred.MACE risk in the low TCBI/high RCA-FAI group was 6.58 times higher than that in the high TCBI/low RCA-FAI group(adjusted HR=6.580,95%CI:2.237～19.360,P=0.001),and the interaction between TCBI and RCA-FAI was identified.Mediation analysis revealed that RCA-FAI mediated 37.5%of the associations between TCBI and MACE.Conclusions In patients with coronary artery disease,malnutrition is associated with increased coronary inflammation.There is a significant interaction between malnutrition and coronary inflammation in the risk of MACE,and coronary inflammation partially mediates the relationship between malnutrition and MACE.The combination of the TCBI index and RCA-FAI can help identify patients at high cardiovascular risk.Improving malnutrition and controlling coronary inflammation may provide addi-tional benefits for patients with coronary artery disease.