BACKGROUND:Scoliosis is a three-dimensional deformity characterized by lateral bending and rotation of the spine.Its onset age covers the entire life cycle,becoming an important health issue that threatens people's health.Artificial intelligence continues to advance with the development of computer science.At present,artificial intelligence has great potential for application in medical diagnosis and treatment,and is gradually being applied in screening and diagnosis of scoliosis.OBJECTIVE:To comprehensively review the application of artificial intelligence in screening and diagnosis of scoliosis,elaborate on the progress of its application in recent years from multiple aspects,and look forward to its innovative points,providing reference for the future trend of intelligence.METHODS:Search covered databases such as PubMed,IEEE Xplore,CNKI,and WanFang,using Chinese and English search terms such as"scoliosis,artificial intelligence,machine learning,screen,diagnosis."Boolean logic was used to optimize the search strategy.Articles directly related to the application of artificial intelligence in screening and diagnosis of scoliosis were included,and articles with weak correlation,outdated experimental design,or poor credibility were excluded.Finally,83 articles were included for analysis.RESULTS AND CONCLUSION:(1)Artificial intelligence has shown unique application value and development prospects in multiple fields such as early screening of scoliosis,chest X-ray screening,smartphone screening,X-ray diagnosis,CT and MRI diagnosis,and reconstruction of three-dimensional spinal images.(2)The application of artificial intelligence in the screening and diagnosis of scoliosis has improved efficiency,reduced misdiagnosis rates,and alleviated the burden on medical staff,facilitating early detection and diagnosis of scoliosis and safeguarding spinal health.

BACKGROUND:Scoliosis is a three-dimensional deformity characterized by lateral bending and rotation of the spine.Its onset age covers the entire life cycle,becoming an important health issue that threatens people's health.Artificial intelligence continues to advance with the development of computer science.At present,artificial intelligence has great potential for application in medical diagnosis and treatment,and is gradually being applied in screening and diagnosis of scoliosis.OBJECTIVE:To comprehensively review the application of artificial intelligence in screening and diagnosis of scoliosis,elaborate on the progress of its application in recent years from multiple aspects,and look forward to its innovative points,providing reference for the future trend of intelligence.METHODS:Search covered databases such as PubMed,IEEE Xplore,CNKI,and WanFang,using Chinese and English search terms such as"scoliosis,artificial intelligence,machine learning,screen,diagnosis."Boolean logic was used to optimize the search strategy.Articles directly related to the application of artificial intelligence in screening and diagnosis of scoliosis were included,and articles with weak correlation,outdated experimental design,or poor credibility were excluded.Finally,83 articles were included for analysis.RESULTS AND CONCLUSION:(1)Artificial intelligence has shown unique application value and development prospects in multiple fields such as early screening of scoliosis,chest X-ray screening,smartphone screening,X-ray diagnosis,CT and MRI diagnosis,and reconstruction of three-dimensional spinal images.(2)The application of artificial intelligence in the screening and diagnosis of scoliosis has improved efficiency,reduced misdiagnosis rates,and alleviated the burden on medical staff,facilitating early detection and diagnosis of scoliosis and safeguarding spinal health.

BACKGROUND:Cervical disc herniation can cause pain in the neck and shoulder area,as well as radiating pain in the upper limbs.The incidence rate is increasing year by year and tends to affect younger individuals.Fully understanding the biomechanical characteristics of the cervical spine in adolescents is of great significance for preventing and delaying the onset of cervical disc herniation in this age group. OBJECTIVE:To reconstruct cervical spine models for both healthy adolescents and adolescent patients with cervical disc herniation utilizing finite element analysis techniques,to analyze the motion range of the C1-T1 cervical vertebrae as well as the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and the cartilage of the small joints. METHODS:A normal adolescent's cervical spine and an adolescent patient with cervical disc herniation were selected in this study.The continuous scan cervical spine CT raw image data were imported into Mimics 21.0 in DICOM format.The C1-T1 vertebrae were reconstructed separately.Subsequently,the established models were imported into the 3-Matic software for disc reconstruction.The perfected models were then imported into Hypermesh software for meshing of the vertebrae,nucleus pulposus,annulus fibrosus,and ligaments,creating valid geometric models.After assigning material properties,the final models were imported into ABAQUS software to observe the joint motion range of the C1-C7 cervical vertebrae segments under different conditions,and to analyze the biomechanical characteristics of the annulus fibrosus,nucleus pulposus,endplates,and small joint cartilage of each cervical spine segment. RESULTS AND CONCLUSION:(1)In six different conditions,the joint motion range of the C1 vertebra in the cervical spine models of both normal adolescent and adolescent patient with cervical disc herniation was higher than that of the other vertebrae.Additionally,the joint motion range of each cervical spine segment in normal adolescent was greater than that in adolescent patient with cervical disc herniation.(2)In the cervical spine model of normal adolescent,the maximum stress values in the annulus fibrosus and nucleus pulposus were found on the left side during C2-3 flexion conditions(0.43 MPa and 0.17 MPa,respectively).In the cervical spine model of adolescent patient with cervical disc herniation,the maximum stress values were found on the left side during C7-T1 flexion conditions(0.54 MPa and 0.18 MPa,respectively).(3)In the cervical spine model of normal adolescent,the maximum stress value on the endplate was found on the left side of the upper endplate of C3 during flexion conditions(1.46 MPa).In the model of adolescent patient with cervical disc herniation,the maximum stress value on the endplate was found on the left side of the lower endplate of C7 during flexion conditions(1.32 MPa).(4)In the cervical spine model of normal adolescent,the maximum stress value in the small joint cartilage was found in the C2-3 left rotation conditions(0.98 MPa).In adolescent patient with cervical disc herniation,the stress in the small joint cartilage significantly increased under different conditions,especially in C1-2,with the maximum stress found during left flexion(3.50 MPa).(5)It is concluded that compared to normal adolescent,adolescent patient with cervical disc herniation exhibits altered cervical curvature and a decrease in overall joint motion range in the cervical spine.In adolescent with cervical disc herniation,there is a significant increase in stress on the annulus fibrosus,nucleus pulposus,and endplates in the C7-T1 segment.The stress on the left articular cartilage of the C1-2 is notable.Abnormal cervical curvature may be the primary factor causing these stress changes.

Acute respiratory distress syndrome(ARDS)is a common respiratory emergency,but current clinical treatment remains at the level of symptomatic support and there is a lack of effective targeted treatment measures.Our previous study confirmed that inhalation of hydrogen gas can reduce the acute lung injury of ARDS,but the application of hydrogen has flammable and explosive safety concerns.Drinking hydrogen-rich liquid or inhaling hydrogen gas has been shown to play an important role in scavenging reactive oxygen species and maintaining mitochondrial quality control balance,thus improving ARDS in patients and animal models.Coral calcium hydrogenation(CCH)is a new solid molecular hydrogen carrier prepared from coral calcium(CC).Whether and how CCH affects acute lung injury in ARDS re-mains unstudied.In this study,we observed the therapeutic effect of CCH on lipopolysaccharide(LPS)induced acute lung injury in ARDS mice.The survival rate of mice treated with CCH and hydrogen inhalation was found to be comparable,demonstrating a significant improvement compared to the untreated ARDS model group.CCH treatment significantly reduced pulmonary hemorrhage and edema,and improved pulmonary function and local microcirculation in ARDS mice.CCH promoted mitochon-drial peripheral division in the early course of ARDS by activating mitochondrial thioredoxin 2(Trx2),improved lung mitochondrial dysfunction induced by LPS,and reduced oxidative stress damage.The results indicate that CCH is a highly efficient hydrogen-rich agent that can attenuate acute lung injury of ARDS by improving the mitochondrial function through Trx2 activation.

Objective To investigate pharmacologically active components of Yiqi Zishen Formula(YZF)and their mechanisms for alleviating airway inflammation in mice with chronic obstructive pulmonary disease(COPD).Methods Ultra-high-performance liquid chromatography coupled with quadrupole-orbitrap mass spectrometry was employed to characterize the chemical components in YZF and YZF-medicated rat serum.A compound-disease target network was constructed based on serum components of YZF to screen the key pathways and targets using enrichment analysis.A mouse model of cigarette smoke-induced COPD was used to evaluate the anti-inflammatory effect of YZF and validate the expression of key proteins in network pharmacology-enriched pathways.Fifty male C57BL/6J mice were randomized equally into control group,COPD model group,high-and low-dose YZF treatment groups,and N-acetylcysteine treatment group.Pulmonary function of the mice was assessed using whole-body plethysmography,and lung histopathology,alveolar structure,and airway remodeling were analyzed using HE staining.The levels of IL-1β,IL-6,and TNF-α in bronchoalveolar lavage fluid(BALF)were determined with ELISA,and pulmonary expressions of PI3K,Akt,phosphorylated Akt(p-Akt),p65,and phosphorylated p65(p-p65)were detected using immunohistochemistry.Results We identified a total of 156 chemical components(including 26 flavonoids or flavonoid glycosides,27 alkaloids,and 11 saponins)in YZF and 43 prototype components in medicated rat serum.Network pharmacology revealed 704 YZF-related targets and 1199 COPD-associated targets.Integrated analysis suggested that the anti-COPD effects of YZF were associated with the PI3K-Akt signaling pathway.In mouse models of COPD,YZF treatment significantly increased mean alveolar number and peak expiratory flow(P<0.05),reduced mean linear intercept,bronchial wall thickness,lung coefficient,and BALF cytokine levels,and suppressed the expressions of PI3K,Akt,p-Akt,p65,and p-p65 in the lung tissues.Conclusion YZF alleviates COPD symptoms and airway inflammation in mice possibly by inhibiting the PI3K/Akt/NF-κB pathway through its multiple components that interact with multiple targets.

Objective:To investigate the differential impact of ultra-high-resolution photon-counting detector CT (UHR PCD-CT) and energy-integrating detector CT (EID-CT) on image quality and calcified plaque-induced luminal stenosis in coronary CT angiography (CCTA).Methods:This retrospective analysis was conducted on patients who underwent both EID-CT and UHR PCD-CT CCTA at the Geriatric Hospital of Nanjing Medical University between January 2021 and November 2024. A total of 141 patients were included in the study, within 46 patients having scans within a 12-month interval. Image quality of all coronary artery segments was subjectively evaluated. Patients with paired scans (interval≤12 months) were included for calcified plaque analysis. Subjective visualization of calcified plaques evaluated. The blooming artifact was calculated as an objective evaluation index for assessing the calcified plaques. Additionally, the degree of coronary artery lumen stenosis resulting from calcified plaques was assessed, along with the measurement of plaque volume and the Agatston score. Changes in lumen stenosis between the two scans were also evaluated. The Wilcoxon signed-rank test was used to compare the subjective scores of coronary artery image quality and calcified plaques between the two groups, and paired-sample t-tests were used to compare the blooming artifact and lumen stenosis degree. Results:The PCD-CT image quality score was significantly higher than that of EID-CT [PCD-CT : 5 (4,5), EID-CT: 4 (4,5); Z=-21.38, P<0.001]. Compared to EID-CT, PCD-CT reduced the blooming artifact (PCD-CT: 38.88%±9.09%, EID-CT: 50.11%±11.52%; t=-12.97, P<0.001), significantly improving the subjective score for visualization of calcified plaques [PCD-CT: 5 (4,5), EID-CT: 3 (2,3); Z=-9.68, P<0.001], and the measured lumen stenosis was notably lower in PCD-CT(PCD-CT:34.88%±18.20%, EID-CT:45.31%±23.42%; t=-9.93, P<0.001). Among 129 analyzed calcified plaques, luminal stenosis was reduced on PCD-CT in 110 plaques (85.3%) and increased in 19 (14.7%), including 4 plaques that had unclear boundaries with the adjacent lumen in EID-CT CCTA images, making the stenosis difficult to assess. Conclusion:Compared to EID-CT, UHR PCD-CT for CCTA significantly improves coronary artery image quality, provides clearer visualization of calcified plaques and adjacent lumen details, and it can reduce the overestimation of coronary artery caleified plaque stenosis.

Objective:To compare the efficacy of ustekinumab (UST) and vedolizumab (VDZ) in achieving transmural healing in active Crohn′s disease (CD).Methods:From March 1, 2020 to November 30, 2024, 112 patients with active CD treated with UST or VDZ at the Department of Gastroenterology, Tenth People′s Hospital of Tongji University were retrospectively enrolled. According to the medication regimen, the 112 patients were divided into UST group (61 cases) and VDZ group (51 cases). Collected the data at baseline, such as the disease phenotype, other medication history, and clinical indicators including C-creative protein (CRP), etc. Clinical disease activity and endoscopic disease activity were assessed by Harvey-Bradshaw index (HBI) and simplified endoscopic score for Crohn′s disease (SES-CD), respectively. Transmural healing was evaluated according to the intestinal wall thickness measured by intestinal imaging examination of the affected intestinal segment. Transmural healing was defined as bowel wall thickness <0.3 cm and 110 obvious signs of inflammation, clinical remission was defined as HBI≤4, and endoscopic remission was defined as a reduction in SES-CD ≥50% or a score of ≤2. The primary endpoint was transmural healing rate within one year after treatment. The secondary endpoints were endoscopic healing rate and clinical remission rate at 13 to 24th week and 30 to 52nd week after treatment. Chi-square test or Fisher′s exact test was used to compare the efficacy of the 2 medications.Results:There was no significant difference in transmural healing rate between UST group and VDZ group within 1 year after treatment (16.4% (10/61) vs. 23.5% (12/51), χ2=0.90, P=0.344). There were no significant differences in the healing rate between UST group and VDZ group in patients with specific baseline characteristics before treatment, including CD with stenosis, with perianal disease, no history of glucocorticoid use, secondary loss of response to anti-tumor necrosis factor (TNF)-α, SES-CD 7 to 15, decreased body mass index, and increased CRP (18.2%(6/33) vs. 19.4%(7/36), 17.9%(7/39) vs. 19.4%(6/31), 17.1%(6/35) vs. 24.2%(8/33), 20.0%(8/40) vs. 3/18, 14.3%(5/35) vs. 19.2%(5/26), 15.0%(3/20) vs. 3/10, 21.4%(6/28) vs. 5/16), all P>0.05). There was no significant difference in the clinical remission rate or endoscopic remission rate between the UST group and the VDZ group from 13 to 24th week (7/14 vs. 9/18, 3/14 vs. 7/18, RR=1.000 and 0.551, 95% confidence interval: 0.497to 2.011, 0.173to 1.755, χ2=<0.01, Fisher′s exact test, both P>0.05). There was no significant difference in clinical remission rate or endoscopic remission rate between UST group and VDZ group from week 30 to week 52 after treatment (68.5% (37/54) vs. 74.4% (32/43), 27.8% (15/54) vs. 32.6% (14/43), RR=0.921 and 0.853, 95% confidence interval: 0.716 to 1.184, 0.464 to 1.568, χ2=0.41 and 0.26, both P>0.05). In UST group, the proportion of patients with normal hemoglobin after transmural healing was higher than that of patients without transmural healing (9/10 vs. 45.1% (23/51), and the difference was statistically significant ( χ2=5.08, P=0.024). However, there were no significant differences in the proportion of patients with normal body mass index, CRP, platelet count, prealbumin, albumin, interleukin-6 or TNF-α levels after treatment between those who achieved transmural healing and those who did not in either UST group or VDZ group (all P>0.05). And in VDZ group there was no significant difference in the proportion of patients with normal hemoglobin between those who achieved transmural healing and who did not (all P>0.05). Conclusion:UST and VDZ exhibit similar efficacy in transmural healing within one year of treatment in patients with active CD.

Objective To develop a risk prediction model for moderate-to-severe catheter-related bladder discomfort(CRBD)after non-transurethral surgery based on various machine-learning algorithms and to compare the performance of the models,so as to provide a reference for accurately identification and prevention of the postoperative moderate-to-severe CRBD.Methods A convenience sampling method was employed to recruit 719 patients as study subjects.The patients received non-transurethral surgery and intraoperative urinary catheterisation in a Tier-ⅢA hospital in Shanxi Province between January and May 2024.The clinical data were collected,with 70％of the randomly selected data was assigned to a training dataset(n=503)for the model building and the rest of 30％of data was used as the testing dataset(n=216)for internal model validation.Predictors were determined using least absolute shrinkage and selection operators(LASSO).Seven machine learning methods of logistic regression,K-nearest neighbours,random forest,artificial neural network,decision tree,light gradient boosting machine(LightGBM)and elastic net were employed to establish the risk prediction models.Performance of the models was evaluated based on the area under receiver operating characteristic curve(AUR-ROC),accuracy,precision,recall and F1 score.Results A total of 719 patients who underwent non-transurethral surgery were included in the study.It was found that 154(21.4％)patients presented with moderate to severe CRBD and 565(78.6％)patients were without or only with a mild CRBD.The predictors were deduced to six variables:gender,abdominal surgery,type of surgery,administration of dexmedetomidine before surgery,intraoperative administration of flurbiprofenate,and use of tramadol by the completion of surgery.It was found that the LightGBM model demonstrated a high stability,with 0.793 in AUC-ROC,0.763 in accuracy,0.879 in precision,0.747 in recall and 0.808 in F1.Conclusion The risk prediction model established through LightGBM for moderate-to-severe CRBD after a non-transurethral surgery exhibits a high stability.It offers a reference for medical practitioners to identify the patients with high-risk of moderate-to-severe CRBD and prepares for relevant interventions.

Objective:To explore the expressions of calcium-activated chloride channel protein 1(ANO1)and E-cadherin in colorectal cancer(CRC)tissue and their relationships with the clinicopathological characteristics of the CRC patients,and to clarify their clinical significances.Methods:The surgical tissue specimens from 77 patients with primary CRC were collected.Immunohistochemistry(IHC)method was used to detect the protein expressions of ANO1 and E-cadherin in CRC tissue;Spearman correlation analysis method was used to analyze the correlation between their expressions;PCR fluorescence probe method was used to detect the KRAS/NRAS mutations in CRC tissue;chi-square test or Fisher's exact probability method was used to analyze the relationships between the expressions of ANO1 and E-cadherin and clinicopathological characteristics of the CRC patients.Results:The IHC results showed that the positive expression rate of ANO1 in CRC tissue was 24.7％,and the positive expression rate of E-cadherin was 63.6％.The Spearman analysis results showed that the expressions of ANO1 and E-cadherin in CRC tissue were positively correlated(r=0.458,P<0.05).Compared with the patients with tumor located in rectum,the positive expression rate of ANO1 in cancer tissue of the CRC patients with tumor located in colon was significantly increased(χ2=5.499,P=0.019);compared with the patients with TNM stageⅢ-Ⅳ,the positive expression rate of ANO1 in cancer tissue of the CRC patients with TNM stageⅠ-Ⅱ was significantly increased(χ2=4.774,P=0.029);compared with the patients with lymphnode metastasis,the positive expression rate of ANO1 in the CRC patients without lymphnode metastasis was significantly increased(P=0.034).Compared with the CRC patients with T4 stage,the positive expression rate of E-cadherin in the CRC patients with T1-T3 stage was significantly increased(P=0.024).Compared with the CRC patients with p53 positive,Ki-67≥90％,PMS2 positive and KRAS wild-type,the positive expression rate of ANO1 in cancer tissue of the CRC patients with p53 negative,Ki-67<90％,PMS2 negative and KRAS mutant was significantly increased(P=0.031,P=0.036,P=0.048,P=0.028).Conclusion:The expressions of ANO1 and E-cadherin in primary CRC tissue of the patients are positively correlated;ANO1 and E-cadherin are associated with multiple clinicopathological characteristics of the patients;ANO1 and E-cadherin may be involved in the occurrence and progression of CRC.

Objective To explore the characteristics of tumor immune microenvironment of pancreatic ductal adenocarcinoma(PDAC)based on the differentially expressed genes associated with macrophages in early and late tumor tissues of PDAC patients,so as to provide new targets for early diagnosis and treatment of PDAC.Methods Three early-stage and 4 late-stage tumor samples were collected from PDAC patients.Tissue transcriptome data were analyzed by single-cell sequencing technology.With The Cancer Genome Atlas(TCGA)database,macrophage related genes differentially expressed in early and late PDAC related to prognosis were obtained.The prognostic risk scoring model was constructed using the least absolute shrinkage and selection operator(LASSO)-Cox method.The risk genes associated with PDAC prognosis were screened using the Gene Expression Profiling Interaction Analysis 2(GEPIA2)online survival analysis tool.Their immune infiltration was analyzed using the cell-type identification by estimating relative subsets of RNA transcripts(CIBERSORT)method,and their expression in different subpopulations of macrophages at different periods was resolved by t-distributed stochastic nearest-neighbour embedding(tSNE)clustering downscaling and the Monocle package.The protein-protein interactions and immunohistochemistry were further analyzed with the help of STRING database and The Human Protein Atlas(HPA)database.Results A total of 48 differentially expressed macrophage-related genes in early and late PDAC were found to be associated with prognosis.Eleven differentially expressed macrophage genes were screened as PDAC prognostic genes,and they were used to construct a prognostic risk scoring model for PDAC.Two prognostic genes with significant risk indicators were screened:2'-5'-oligoadenylate synthetase 2(OAS2)was mainly expressed in secreted phosphoprotein 1(SPP1)-positive macrophages,and assembly factor for spindle microtubules(ASPM)was mainly expressed in proliferation marker protein Ki-67(MKI67)-positive macrophages.There were significant differences in the expression of OAS2 in PDAC macrophages at different stages.Immune infiltration studies showed that OAS2 and ASPM were highly expressed in regulatory T cells and M2-type macrophages(both P＜0.05).Protein-protein interaction network showed the expression relationship between OAS2 and ASPM and other co-expressed proteins.Immunohistochemistry results showed that the expression of OAS2 was higher in tumor tissues than in normal tissues.Conclusion OAS2 and ASPM are both poor prognostic genes that are specifically expressed and exert negative immune effects in SPP1+macrophages and MKI67+macrophages,respectively,promoting the progression of PDAC and ultimately leading to a poor prognosis,and it is expected to provide new targets for the prevention and treatment of PDAC.