Objective To evaluate the diagnostic efficacy of the Kaiser score for ultrasound(US)BI-RADS 4A lesions and the potential to avoid unnecessary biopsies.Methods Data of patients who underwent breast US and magnetic resonance imaging(MRI)between May 2019 and June 2023 were retrospectively collected,and all cases were confirmed by puncture biopsy or surgical pathology.The diagnostic efficacy of Kaiser score and MRI BI-RADS classification for US BI-RADS 4A lesions was calculated and compared using pathologic findings as the gold standard.Results A total of 119 lesions(74 benign and 45 malignant lesions)were found in the 119 patients.The diagnostic efficacy of the Kaiser score was significantly better than that of the MRI BI-RADS classification(AUC:0.88 vs.0.65,P＜0.000 1).The concordance of the Kaiser score results with the pathologic findings and the inter-observer concordance were better than that of the MRI BI-RADS classification.Unnecessary biopsies could be avoided in 87.8％(65/74)and 33.8％(25/74)of the cases when the Kaiser score and the MRI BI-RADS classification were applied for the diagnosis of US BI-RADS 4A lesions,respectively.Conclusion The Kaiser score can provide a diagnostic basis for risk stratification of US BI-RADS 4A lesions,and its diagnostic efficacy and inter-observer agreement are superior to those of MRI BI-RADS classification.

Objective To explore the risk factors for portal vein thrombosis(PVT)in patients with cirrhosis in the decompensated stage and construct a risk prediction model for PVT so as to improve the early diagnosis rate of decompensated liver cirrhosis PVT.Methods The clinical data of patients with cirrhosis in the decompensated stage admitted to Department of Gastroenterology,The First Affiliated Hospital of Xi'an Jiaotong University between June 2018 and June 2023 were collected and divided into cirrhosis PVT group(n=135)and cirrhosis non-PVT group(n=225)according to whether or not portal vein thrombosis was formed.We made a univariate analysis of the general data,laboratory indexes,liver function scores and imaging findings of the patients in the two groups,and indexes with statistically significant differences were included in binary Logistic regression for multifactorial analysis to screen out independent risk factors.A predictive model of binary Logistic regression was established based on the independent risk factors.The clinical data of the validation set were incorporated into the model,the accuracy of the prediction model was evaluated by receiver operating curve(ROC),and the practicability of the model was evaluated by consistency curve to complete the validation and evaluation of the constructed prediction model.Internal stability of the model was verified with Bootstrap method.Finally,R software(4.3.1)was used to draw a nomogram of the prediction model to visualize the model.Results Univariate analysis revealed statistically significant differences between patients in the PVT and non-PVT groups in the following five aspects:history of splenectomy,history of endoscopic varicose vein treatment,portal vein diameter,and neutrophil-to-lymphocyte ratio(P＜0.05).Binary Logistics regression analysis showed that a history of splenectomy(P=0.002,OR=3.012,95％CI:1.500-6.047),a history of endoscopic varicose vein treatment(P=0.001,OR=2.276,95％CI:1.400-3.698),widening of portal vein diameter(P=0.007,OR=1.942,95％CI:1.202-3.136),increased neutrophil-to-lymphocyte ratio(P=0.009,OR=1.886,95％CI:1.170-3.041),and elevated D-dimer(P＜0.001,OR=3.725,95％CI:2.149-6.485)were independent risk factors for the formation of portal vein thrombosis in patients with cirrhosis in the decompensated stage of cirrhosis chemically presented(P＜0.05).The area under the ROC curve of the predictive model and the model after internal validation was 0.760 and 0.7494,respectively.The model still had good prediction ability and accuracy in the verification set.Conclusion A history of splenectomy,history of endoscopic varicose vein treatment,widening of portal vein diameter,increased neutrophil-to-lymphocyte ratio,and elevated D-dimer concentration are independent risk factors for the formation of portal vein thrombosis in patients with decompensated cirrhosis.The Logistic prediction model and visual nomogram constructed based on the above independent risk factors have a good ability to predict the occurrence of PVT in patients with decompensated cirrhosis and have important clinical guiding significance for early screening patients with PVT in decompensated cirrhosis.

Objective To explore the inhibitory effect of Xinhui tangerine peel polysaccharides on the mouse skin fibroblasts so as to understand the underlying molecular mechanism.Methods We separated and purified the components of tangerine peel polysaccharides from Xinhui tangerine peel.C57BL/6 mouse skin fibroblasts were isolated and cultured for the cellular experimental study.We set up a blank control group(normal culture)and low-,medium-and high-dose experimental groups(50,100 and 200 μg/mL tangerine peel polysaccharides).After 24 hours of treatment,cell survival rate was assessed by CCK-8 assay.The mRNA and protein expression levels of collagen type Ⅰ(Col1a1),collagen type Ⅲ(Col1a3),TGF-β1 and ACTA2 in fibroblasts were examined by RT-qPCR and Western blotting.Smad3 was examined by Western blotting.Results The cell survival rate in the blank control group,the medium-and high-dose experimental groups was 100％,(90.54±6.74)％,and(78.90±4.24)％,respectively.The relative expression level of Col1a1 protein was 1.13±0.15,0.57±0.16,and 0.48±0.05,respectively;the relative expression level of Col3a1 protein was 0.81±0.13,0.49±0.11 and 0.50±0.03;the relative expression level of TGF-β1 protein was 1.11±0.15,0.60±0.13,and 0.33±0.11;the relative expression level of p-Smad3/Smad3 proteins was 0.96±0.05,0.75±0.06 and 0.71±0.03.The mRNA expression level of Col1a1 was 1.01±0.17,0.58±0.11,and 0.52±0.12;the mRNA expression level of Col3a1 was 1.01±0.12,0.56±0.19,and 0.65±0.14;the expression level of ACTA2 mRNA was 1.01±0.13,0.24±0.04,and 0.22±0.07;the mRNA expression level of TGF-β1 was 1.00±0.09,0.50±0.10,and 0.49±0.15.The relative expression levels of p-Smad3/Smad3 proteins were 0.86±0.06,0.66±0.06,0.55±0.13,0.43±0.09,0.35±0.06,and 0.27±0.12,respectively,after time-related treatment with high-dose tangerine peel polysaccharides.The above indicators in medium-and high-dose tangerine peel polysaccharide groups showed statistically significant differences compared to those in the blank control group(P＜0.05).Conclusion Tangerine peel polysaccharides can inhibit the cell proliferation and the synthesis of keloid-related genes on fibroblasts by inhibiting TGF-β1/Smad3 signaling pathway.

Objective To construct a radiomics model to improve the discriminatory ability of 18 F-PSMA-1007 PET/CT for focal prostate cancer.Methods We retrospectively collected data from 74 patients diagnosed with prostate cancer by biopsy at The First Affiliated Hospital of Xi'an Jiaotong University between July 2020 and April 2024.These patients had focal radionuclide accumulation observed on 18F-PSMA-1007 PET/CT,with the median age of 71 years.Among them,42 patients had a Gleason score＜8 and 32 patients had a Gleason score ≥8.An external validation set was randomly selected based on the timing of examination,while the remaining patients were randomly divided into training and test sets at a 7∶3 ratio.Region of interest(ROI)were semi-automatically drawn on registered images,manually adjusted,and symmetrically shifted to contralateral non-tumor tissue.We made variance and correlation analyses to choose features,and built models with Logistic regression and compared the results with those of visual evaluation.Receiver operating characteristics(ROC)curves were drawn to compare model performance,and subgroup analysis was performed to identify optimal features for distinguishing tumor tissue,based on Gleason score,serum total prostate specific antigen(tPSA)levels,and lesion location.Results A total of eight features were selected.The area under the curve(AUC)for visual evaluation,testing set,and external validation set were 0.858,0.933,and 0.891,respectively.The sensitivity was 0.757,0.800 and 0.917;the specificity was 0.960,0.800 and 0.792,respectively.Subgroup analysis showed that the radiomic features 10percentile and skewness had a high value in tumor differentiation.In tumor tissues,the 10percentile values were higher than in non-tumor tissues across all groups(P-values were 0.012,0.002,＜0.001,＜0.001,＜0.001,and＜0.001).When tPSA≤10 ng/mL and Gleason score ≥8,there was no statistically significant difference in skewness between tumor and non-tumor tissues(P=0.08).When tPSA ≥20 ng/mL,the skewness of non-tumor tissue was slightly higher than that of tumor tissue,but the difference was not statistically significant(P-values were 0.285 and 0.791).When the tumor was located in the posterior part of the prostate(left posterior and right posterior),the skewness was significantly higher in tumor tissue than in non-tumor tissue(P-values＜0.001 for both).Conclusion The radiomics model had better sensitivity and accuracy than visual evaluation in distinguishing focal prostate cancer tumors from non-tumor tissues,but visual evaluation had higher specificity.Skewness and 10percentile had a high value in differential diagnosis.

Photodynamic therapy(PDT)is a precise targeted therapy that selectively treats certain benign diseases and malignant tumors by combining therapeutic light sources,photosensitizers,and oxygen molecules.The wavelength range of the light source,as a key factor in inducing PDT,has a decisive impact on the triggering and therapeutic effect of the treatment.However,there is a lack of relevant reviews on the selection of light sources for photodynamic therapy.This article reviews the PDT-related applications of commonly used light sources with different wavelength ranges of excitation,such as visible light,near-infrared,and X-ray,including the excitation characteristics of this band of light,as well as the multi-therapy combination and multi-range breakthroughs of PDT cancer treatment under the excitation of this band of light.The aim is to provide feasible directions for the development of photodynamic therapy bands and subsequent applications.

Objective To evaluate the ability of longitudinal changes in urinary extracellular domain of neurotrophin receptor p75(p75ECD)to serve as a prognostic biomarker of severity,progression and survival time in patients with amyotrophic lateral sclerosis(ALS).Methods Forty patients with ALS attended follow-up appointments at 3-to 6-month interval,and 51 healthy control(HC)volunteers were recruited.The concentrations of urinary p75ECD were tested by a sandwich ELISA.The ALSFRS-r was used to quantify the severity of ALS.The change rate of urinary p75ECD(Δp75ECD)was calculated as the average monthly change during the period between the first and the last sampling.Results The concentration of urinary p75ECD was higher at the last follow-up than at baseline(P=0.002 3).Spearman analysis showed that there was a negative correlation between urinary p75ECD and ALSFRS-r score(r=-0.35,P=0.001 3);the course of ALS in the fast-changing Δp75ECD group was shorter than that in the slow-changing group(P=0.015 8);the Δp75ECD and course of ALS showed a negative correlation(r=-0.39,P=0.014),and the Δp75ECD in the fast-progression ALS group was significantly higher than in the slow-progression group(P=0.001 6).There was a positive correlation between Δp75ECD and progression in ALS patients(r=0.34,P=0.005).Kaplan-Meier survival analysis showed a longer median survival time in those with slow-changing Δp75ECD(P=0.03).Conclusion The change rate of urinary p75ECD has shown great potential as a biomarker for the prognosis of the severity,progression and survival time of ALS.

Objective To develop an artificial intelligence(AI)diagnostic system for computed tomography angiography(CTA)images related to acute aortic syndrome(AAS)and to evaluate its efficacy in diagnosing and differentiating between AAS subtypes.Methods We collected the CTA images of patients diagnosed with aortic dissection(AD),intramural hematoma(IMH),or penetrating atherosclerotic ulcer(PAU)who were treated in the Department of Peripheral Vascular Diseases,The First Affiliated Hospital of Xi'an Jiaotong University,from June 2016 to June 2022.Based on the strict inclusion and exclusion criteria,2 057 CTA images were selected and extracted.Normal human aorta CTA images served as the control group.The YOLO v7 neural network was used to diagnose and differentiate subgroups of AAS patients in the CTA images,and its diagnostic performance was evaluated.Results The sensitivity,specificity,positive predictive value,negative predictive value,and total accuracy of the AAS diagnostic system based on the YOLO v7 were 98.72％,83.10％,97.82％,89.40％,and 96.92％,respectively.The total accuracy for differential diagnosis of the subgroups was 85.58％.The total accuracy of diagnosis results was significantly higher than that of differential diagnosis results(P＜0.05).Conclusion The AI-based AAS diagnostic system utilizing YOLO v7 meets the established standards for disease diagnosis.However,further research is warranted involving larger image databases and more advanced deep learning networks to improve the differentiation among AAS subtypes.

Objective To explore the regulation of the phosphoinositide 3-kinase(PI3K)/protein kinase B(AKT)-mediated inflammatory response in chronic obstructive pulmonary disease(COPD)by modified Shengxian Decoction through the lung-gut axis.Methods Thirty rats were divided into three groups:Control group,COPD group,and COPD+modified Shengxian Decoction(SXT)group,with 10 rats in each.The COPD model was established using passive smoking combined with intratracheal instillation of lipopolysaccharide(LPS).General symptoms and signs of the rats were monitored during the modeling and intervention periods.Hematoxylin and eosin(HE)staining and immunohistochemistry(IHC)were used to observe lung tissue structure.Enzyme-linked immunosorbent assay(ELISA)was used to detect the levels of inflammatory cytokines interleukin-6(IL-6)and tumor necrosis factor-alpha(TNF-α)in lung tissues.Flow cytometry was used to detect the number of type Ⅱ innate lymphoid cells(nILC2)and type 2 innate lymphoid cells(iILC2)in lung and intestinal tissues.Illumina MiSeq sequencing technology was used to perform 16S rRNA gene sequencing on rat feces to analyze the gut microbiota structure.Gas chromatography-mass spectrometry(GC-MS)was used to determine the content of short-chain fatty acids(SCFAs)in rat feces.Western blotting was used to detect the expressions of related proteins in the PI3K/AKT pathway.Results Compared with the Control group,the COPD group showed significantly reduced lung function indicators,increased heart rate and decreased body mass,while the SXT group showed significant improvement in lung function and general signs(P＜0.05).HE staining showed that the COPD group had lung tissue damage filled with inflammatory cells,while the SXT group had significantly fewer inflammatory cells.IHC results showed that the SXT group had significantly reduced expression of caspase-3 protein(P＜0.05).ELISA results showed that the levels of IL-6 and TNF-α were significantly increased in the COPD group,while the SXT group showed significant improvement in inflammatory damage.The ratio of nILC2 to iILC2 in lung and intestinal tissues was significantly reduced in the COPD group,indicating a significant inflammatory response,while the SXT group showed significant improvement(P＜0.05).The levels of ILC2 cytokines IL-13 and IL-4 were significantly increased in the COPD group,while the SXT group had significantly reduced IL-13 and IL-4 levels.The relative abundance of lung and gut microbiota in the SXT group was significantly higher than that in the Control and COPD groups(P＜0.05).Beta diversity index analysis showed significant differences in species diversity among the three groups(P＜0.05).GC-MS detected six types of SCFAs in rat feces:acetic acid,propionic acid,isobutyric acid,butyric acid,isovaleric acid,and valeric acid.Their levels were lower in the COPD group than in the Control group,but the levels in the SXT group were higher than those in the COPD group.Western blotting results showed that the expressions of p-PI3K,PI3K,p-AKT,AKT,p-NF-κB,and NF-κB proteins were significantly reduced in the SXT group compared to the COPD group(P＜0.05).ELISA results showed that the SXT group had significantly downregulated expression levels of IL-1β and IL-10 compared to the COPD group(P＜0.05).Conclusion Modified Shengxian Decoction can alleviate COPD inflammation.It may mediate the inflammatory response in COPD by inhibiting iILC2 cell activity and expressions of related proteins in the PI3K/AKT signaling pathway through gut microbiota metabolism.

Objective To construct an XGBoost predictive model using clinical characteristic data from patients with chronic obstructive pulmonary disease(COPD)and evaluate the efficacy of the predictive model in early risk prediction of lung cancer occurrence in COPD patients.Methods In this retrospective cross-sectional study,cluster sampling was used.We selected clinically diagnosed COPD patients admitted to The Second Affiliated Hospital of Xi'an Jiaotong University from January 1,2018,to December 31,2022.A total of 4 008 patients with complete data were included.First,the baseline of each characteristic was analyzed,and then XGBoost was used to construct the lung cancer risk prediction model for COPD patients,and SHAP(SHapley Additive exPlanation)value was used to quantify and attribute the importance of each characteristic.DC A curve was used to evaluate the clinical application value.Results After constructing a lung cancer risk model for COPD patients using 28 variables,eight variables were selected according to the importance of the variables and clinical experience,and the prediction model was reconstructed.The model efficacy in the training set and the test set was 0.948(0.938,0.958)and 0.797(0.738,0.856),respectively.SHAP diagram showed that elevated CEA,CA125,FIB,eosinophils,PLT and D-dimer and reduced TT all contributed to an increased risk of lung cancer in COPD patients.DCA curve showed that the prediction model had clinical application value,which could help doctors make more accurate prognosis prediction and treatment decisions.Conclusion The successful establishment of an XGBoost predictive model,utilizing a subset of features,enables early prediction of lung cancer occurrence in COPD patients.

Objective To investigate the expression of ferritinophagy-related gene ELAV-like RNA binding protein 1(ELAVL1)in multiple myeloma(MM)and elucidate its diagnostic and prognostic value for MM.Methods First,we analyzed ELAVL1 expression level in healthy controls and MM patients using data from the GEO and TCGA databases.Subsequently,bone marrow specimens were collected from 28 newly diagnosed MM patients and 20 healthy controls,and qRT-PCR was employed to validate ELAVL1 expression.The diagnostic and prognostic potential of ELAVL1 was assessed using ROC curve analysis and Kaplan-Meier survival curves.Additionally,univariate and multivariate COX regression analyses were performed to identify independent risk factors for MM prognosis.Finally,KEGG and GO enrichment analyses were performed using the DAVID online platform.Results The level of ELAVL1 expression was significantly higher in newly diagnosed MM patients and refractory/relapsed MM patients than in the healthy controls(P＜0.001).Moreover,ELAVL1 expression was positively correlated with the International Staging System(ISS)stage of MM(P＜0.01).Furthermore,qRT-PCR validation confirmed that ELAVL1 expression was elevated in the 28 newly diagnosed MM patients compared to the 20 healthy controls(P＜0.001).ROC curve analysis demonstrated that ELAVL1 could effectively differentiate between newly diagnosed MM patients,healthy controls,and MGUS patients(P＜0.001 and P=0.000 2,respectively).Survival analysis revealed that high ELAVL1 expression was associated with shorter progression-free survival(P=0.0141)and overall survival(P=0.008 0).Univariate and multivariate COX regression analyses identified high ELAVL1 expression as an independent risk factor for poor MM prognosis(P=0.005 0).KEGG analysis suggested that ELAVL1 might be involved in the Hippo and MAPK signaling pathways.Conclusion High ELAVL1 expression in MM may serve as a biomarker for diagnosis and poor prognosis.ELAVL1 may promote MM initiation and progression via the Hippo and MAPK signaling pathways.