Background Per- and polyfluoroalkyl substances (PFAS) are a class of persistent organic pollutants that possess potential toxicity to the human body. The production and utilization of diverse emerging PFAS have resulted in widespread human exposure. Therefore, it is imperative to establish a quantitative methodology encompassing a wide range of PFAS for a comprehensive assessment of human exposure to these compounds. Objective To establish a high-throughput quantitative method for the simultaneous determination of 53 PFAS in human serum based on ultra-high-performance liquid chromatography-Q Exactive high resolution mass spectrometry (UPLC-Q Exactive HRMS). Methods The extraction recoveries of hydrophilic-lipophilic balance (HLB) column, weak anionexchange (WAX) column, and 96-well WAX μElution plate were compared to select the SPE column with the highest recovery. The retention time and peak shape of the target compounds were compared between ACQUITY UPLC BEH C₁₈ column and Accucore aQ column, and the more cost-effective column was chosen. The effects of adding different levels of ammonium formate (0, 2, 5 and 10 mmol·L⁻¹) in mobile phase on peak shape and target response were compared to determine the optimal buffer salt concentration. The optimal spray voltage was obtained by comparing −2 kV and −4 kV. The proposed method was validated from the aspects of selectivity, standard curve, limits of detection, precision, accuracy, and matrix effect. The method was applied to 142 umbilical serum samples. Results The best recovery rate (64%-118%) was achieved by using 96-well WAX μElution plate. The optimal separation and peak shape were obtained by utilizing Accucore aQ column with H₂O-methanol (containing 5 mmol·L⁻¹ ammonium formate) as the mobile phase. Less in-source collision and better target response were observed when the spray voltage was set to −2 kV. All target analytes had a good linearity, with R² > 0.99. The limits of detection ranged from 0.01 to 0.50 μg·L⁻¹, and the recovery ranged from 69% to 127% with the precision less than 26%. A total of 31 PFAS were detected in the 142 actual samples, among which 14 PFAS had a detection frequency over 50%. Perfluorooctanoic acid showed the highest median concentration of 4.16 μg·L⁻¹, followed by 6:2 chlorinated polyfluorinated ether sulfonate and perfluorooctane sulfonates (3.50 μg·L⁻¹ and 1.59 μg·L⁻¹, respectively). Conclusion In this study, we establish a UPLC-Q Excative HRMS method for simutanious determination of 53 PFAS concentrations in serum. This method has the advantages of wide coverage of PFAS, good selectivity, and easy operation, and is suitable for biological detection with a large sample size.

Objective: To analyze the impact of persistent obesity on their lung function, so as to offer insights for implementing intervention measures to increase lung function in obese school age children. Methods: A total of 335 children from the Sheyang Mini Birth Cohort established in 2009 in Yancheng City, Jiangsu Province, who participated in the follow up at the ages of 7 years (2016) and 10 years (2019), were selected as the study participants. Physical measurements including height, weight, and lung function were recorded. According to the World Health Organization standard, that is, gender and age specific to correct the body mass index to calculate the body mass index Z score, was used to evaluate the obesity status of children at the age of 7 and 10. Children were divided into four groups, including sustained non obesity group, restored obesity group, newly classified obesity group, and persistent obesity group. Meanwhile, the lung function prediction equations recommended by the Global Lung Function Initiative were used to standardize the lung function indexes of children. Pulmonary function differences among these groups were examined, and the relationship between childhood obesity and pulmonary function was longitudinally analyzed using generalized estimating equations. Results: The prevalence of obesity were 9.0% and 16.1% at the age of 7 and 10 years, respectively. The proportion of both newly classified and persistent obesity group were 8.1%, respectively. The forced expiratory volume in one second (FEV 1) and forced vital capacity (FVC) were (1 269.90±202.70) and (1 415.70±230.00) mL, respectively, at the age of 7 years. FEV 1 and FVC at the age of 10 years were (1 440.80±403.20) and (1 555.60±517.60) mL, respectively. Cross sectional analysis at age 7 showed that forced expiratory flow at 75% vital capacity (FEF 75 ) ( β=-0.52, 95%CI =-0.96--0.07) and maximal mid expiratary flow (MMEF) ( β=-0.45, 95%CI =-0.89--0.00) were significantly lower in obese children compared to their non obese peers ( P < 0.05). Longitudinal analysis indicated that obese children had lower levels of lung pulmonary function, with a statistically significant difference in FEV 1 ( β=-0.44, 95%CI=-0.85--0.02, P <0.05). There was no significant difference among the various obesity groups ( P >0.05), while gender stratified results revealed significant reductions in FEV 1/FVC in newly classified obese girls at age 10 years ( β=-1.76, 95%CI =-3.13--0.38) and in MMEF in persistently obese girls at age 10 years ( β=-1.44, 95%CI = -2.79- -0.09) ( P <0.05). Conclusion Obesity may contribute to reduced lung function levels in school aged children, with newly classified and persistent obesity having more pronounced effects on lung function in girls.

Background Perfluorinated and polyfluoroalkyl substances (PFAS), a large group of emerging pollutants, are ubiquitous in the ecological environment. Their multiple organ toxic effects on human body are reported. Understanding the exposure level of PFAS in cord serum and associated influencing factors can provide scientific evidence for studying maternal and newborn health effects and risk regulation. Objective To explore the exposure levels of PFAS in cord serum and potential impact factors. Methods This study was based on the maternal and infant database and the cord serum sample bank of the Sheyang Mini Birth Cohort Study (SMBCS) established in 2009. A self-designed questionnaire was used to collect information on sociodemographic characteristics, living environment, and lifestyle of mothers during pregnancy. A total of 1097 cord serum samples were measured utilizing ultra-high performance liquid chromatography-Q-Exactive Orbitrap high-resolution mass spectrometry. Multiple linear regression models were used to identify influencing factors related to PFAS exposure level in cord serum. Results A total of 38 types of PFAS were detected in the cord serum samples, including 20 perfluorocarboxylic acids (PFCA), 14 perfluorosulfonic acids (PFSA), and 4 other types of PFAS. The detection rates of 14 PFAS compounds were above 50%. The detection rates of perfluoro-1-hexanesulfonic acid (PFHxS), perfluoro-1-octanesulfonic acid (PFOS), perfluorononanoic acid (PFNA), perfluorooctanoic acid (PFOA), perfluorodecanoic acid (PFDA), and perfluoroundecanoic acid (PFUdA) were in the range of 99.18%-100.00%. The median concentrations of PFOA and 6∶2 chlorinated polyfluorinated ether sulfonic acid (6∶2CI-PFESA) were higher than those of the other compounds, which were 3.76 µg·L⁻¹ and 2.61 µg·L⁻¹, respectively. The correlation coefficients among cord serum PFAS were in the wide range of 0.0911-0.8429 (P < 0.05). The associations between PFHxS and perfluoro-1-heptanesulfonic acid (PFHpS) (r=0.8429, P < 0.05), PFOS and PFHpS (r=0.7012, P < 0.05), and PFUdA and perfluorododecanoic acid (PFDoA) (r=0.7875, P < 0.05) were positive. The proportions of PFCA and PFSA in the cord serum samples were 60.1% and 38.4%, respectively. PFOA and 6∶2 Cl-PFESA were the predominant compounds in the cord serum samples, whose proportions were 37.8% and 19.3%, respectively. The concentrations of specific types of cord serum PFAS had varied associations with the following demographic variables of pregnant women: age, parity, education level, gestational age, and occupation. The multiple linear regression analysis found that the concentrations of 8 PFAS (PFHxS, PFHpS, PFNA, PFOS, PFDA, PFUdA, PFDoA, and 6∶2 CI-PFESA) in umbilical cord serum were lower in pregnant women aged 25 years and older than in those under the age of 25 years; compared to pregnant women with education levels at or below junior middle school, those with education levels at or above high school had lower concentrations of perfluoroheptanoic acid (PFHpA); the concentration of PFHpA in cord serum was negatively correlated with household annual income; multiparous women had higher concentrations of PFNA, PFUdA, and PFDoA than primiparous women; compared to mothers engaged in manual labor, the concentration of perfluoro-1-butanesulfonic acid (PFBS) in umbilical cord serum was lower in mothers engaged in mental labor, while the concentrations of PFBS and PFOA were lower and the concentrations of perfluorotridecanoic acid (PFTrDA) and 8∶2 chlorinated polyfluorinated ether sulfonic acid (8∶2CI-PFESA) were higher in mothers of other occupational types; the concentrations of umbilical cord serum PFOA, PFOS, PFUdA, and PFDoA were positively correlated with the gestational age of pregnant women, while N-methylperfluoro-1-octanesulfonamido acetic acid (N-MeFOSAA) was negatively correlated with the gestational age of pregnant women; PFTrDA was negatively correlated with the birth weight of newborns; compared with those with insufficient gestational weight gain, those with adequate gestational weight gain had lower PFDoA, while those with excess gestational weight gain had higher N-MeFOSAA. Conclusion PFAS compounds exposure is common in the mothers and infants in the study area. PFOA and 6∶2 CI-PFESA are the two main compounds in cord serum. Cord serum PFAS are associated with several demographic characteristics of the pregnant women. Future research needs to pay more attention to PFAS alternatives and other emerging contaminants.

Objective To explore the expression levels of serum glycerophospholipid metabolites lysophosphatidylcholine(LPC)18∶3 and lysophosphatidylethanolamine(LPE)16∶1 in patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD)and their correlation with clinical prognosis.Methods A total of 112 AECOPD patients diagnosed and treated in Tangshan People's Hospital from January 2019 to January 2022 were selected as the AECOPD group.According to the 3-month follow-up prognosis of the AECOPD group patients,they were divided into survival group(n=90)and death group(n=22).During the same period,60 stable COPD patients were selected as the stable period group,while 60 healthy individuals in the same period were selected as the control group.High performance liquid chromatography tandem mass spectrometry(HPLC-MS/MS)was used to detect serum LPC18∶3 and LPE16∶1 levels in each group.Pearson method was used to analyze their correlation.Logistic regression analysis was used to analyze factors affecting the prognosis of AECOPD patients.Receiver operating characteristic curve was drawn to evaluate the prognostic value of LPC18∶3 and LPE16∶1 in AECOPD patients.The prognosis of AECOPD patients with different serum LPC18∶3 and LPE16∶1 expression groups was compared by K-M curve.Results Serum LPC18∶3(21.67±4.35 μ mol/L),LPE16∶1(16.20±5.17 μ mol/L),PEF％pred,FEV1％pred,and FEV1/FVC％in AECOPD group were lower than those of stable phase group(43.24±6.17 μ mol/L,32.19±5.98 μmol/L)and the control group(68.14±8.78 μ mol/L,44.82±7.44 μ mol/L),with significant differences(F=461.240～1 102.534,all P＜0.05).The serum LPC18:3 and LPE16:1 levels in the AECOPD group were positively correlated with lung function indicators such as PEF％pred,FEV1％pred,and FEV1/FVC％(r=0.603～0.756,allP＜0.05).The course of COPD and PCT of AECOPD patients in the death group were higher than those in the survival group(t=3.961,2.509),while the PEF％pred,FEV1％pred,FEV1/FVC％,serum LPC18∶3(17.20±4.11μ mol/L),and LPE16∶1(10.15±3.03 μ mol/L)in the death group were lower than those in the survival group(22.76±4.35 μ mol/L,17.68±5.22 μ mol/L),with significant differences(t=4.141～6.490,all P＜0.05).Serum LPC18∶3(OR=0.691,95％CI:0.519～0.920)and LPE16∶1(OR=0.586,95％CI:0.382～0.901)were independent protective factors,while the course of COPD(OR=1.510,95％CI:1.203～1.895)and procalcitonin(OR=1.759,95％CI:1.159～2.671)were risk factors affecting the prognosis of AECOPD patients.The area under the curve(95％CI)of combined serum LPC18∶3 and LPE16∶1 for prognosis evaluation of AECOPD patients was better than that of serum LPC18∶3 and LPE16∶1 predicted separately[0.866(0.822～0.907)vs 0.794(0.748～0.830),0.786(0.739～0.836)](Z=3.957,4.195,P=0.002,＜0.001).The mortality risk of AECOPD patients in the low expression group of LPC18∶3 and LPE16∶1 was higher than that in the high expression group of LPC18∶3 and LPE16∶1(log rankx2=4.475,5.763,P=0.034,0.016).Conclusion The serum levels of glycerophospholipid metabolites LPC18∶3 and LPE16∶1 in AECOPD patients were decreased,which were related to lung function status.The combination of the two may effectively evaluate the prognosis of AECOPD patients.

Objective To observe the impact of age and menstrual status on semi-quantitative parameters of breast dynamic enhanced MRI(DCE-MRI)in healthy adult women.Methods A total of 283 adult females who underwent MR examinations due to suspected breast mass or breast discomfort but no breast tumor was detected after 1 year's clinical follow-up were retrospectively collected.Meanwhile,49 healthy adult female subjects in the menstrual period(menstruating subgroup)were prospectively recruited.All the above 332 subjects were divided into low age group(n=107),middle age group(n=114)and high age group(n=111)according to age,while into postmenopausal group(n=112)and premenopausal group(n=220,including 49 in menstruating subgroup,77 in proliferating subgroup and 94 in secreting subgroup).DCE-MRI semi-quantitative parameters,including maximum enhancement rate(ERmax)and maximum slope of increasing(Slopemax)were compared among different groups and subgroups,and the variations were observed.Results Significant differences of ERmax and Slopemax were found between high and low age groups(both P＜0.05),while no significant difference of ERmax and Slopemax was found between middle and low age group,nor between middle and high age group(all P＞0.05).Both ERmax and Slopemax in postmenopausal group were lower than those in premenopausal group(both P＜0.05),while no significant difference of DCE-MRI semi-quantitative parameters was found among different menstrual cycle subgroups(all P＞0.05).The coefficient of variance(CV)of normal breast ERmax in low,middle and high age groups was 56.20％,44.02％and 50.97％,respectively,of Slopemax was 54.74％,81.78％and 76.93％,respectively.CV of normal breast ERmax was 50.12％and 46.02％in postmenopausal and premenopausal groups,respectively,while CV of Slopemax was 72.84％and 62.04％,respectively.Among different subgroups,CV of ERmax and Slopemax in proliferative period were both the largest(61.39％,82.54％),which in menstrual period were both the smallest(33.99％,42.33％).Conclusion Semi-quantitative parameters of breast DCE-MRI were different among healthy women of different age and menstrual status,and the individual variations were large.

Objective:To explore the value of machine-learning models based on magnetic resonance imaging(MRI)radiomics features for the preoperative prediction of the blood supply in pituitary neuroendocrine tumors.Methods:A retrospective analysis was performed on the clinical and imaging data of 136 patients with pathologically confirmed pituitary neuroendocrine tumors(diameter>10 mm)from April 2013 to April 2023 at Yi Jishan Hospital of Wannan Medical College.Based on the intraoperative findings,the patients were assigned into richly vascularized(n=50)and normally vascularized(n=86)groups.All patients were allocated randomly in a 7:3 ratio into a training(n=96)or a validation group(n=40).Three machine-learning algorithms,multivariate Logistic regression(LR),random forest(RF),and support vec-tor machine(SVM),were used to establish radiomics prediction models.Receiver operating characteristic(ROC)curves were plotted to eval-uate the diagnostic performance of the models;decision curve analysis(DCA)was used to assess the net clinical benefit of the models.Res-ults:The clinical model achieved areas under the ROC curve(AUC)of 0.74 and 0.82 in the training and validation groups,respectively.The radiomics models using T1-weighted imaging(WI),T2WI,T1WI-enhanced,and combined sequences achieved AUCs of 0.80,0.84,0.82,and 0.84 in the training group and 0.82,0.80,0.85,and 0.83 in the validation group,respectively.The LR,RF,and SVM models had AUCs of 0.85,0.87,and 0.84 in the training group and 0.85,0.85,and 0.83 in the validation group,respectively.All radiomics models demonstrated great-er diagnostic efficacy than the clinical model.DCA indicated that the LR,SVM,and combined-sequence models achieved good net clinical be-nefits;the LR model showed the best results.Conclusions:Machine-learning models based on MRI radiomics exhibit high predictive value,surpassing the clinical judgment of radiologists based on MRI images alone,and offer a favorable net clinical benefit.

Objective:To identify the dosimetric and radiobiological differences of three radiotherapy techniques of whole breast irradiation with simultaneous integrated boost (WBI-SIB) following breast-conserving surgery for early breast cancer (EBC).Methods:The data of 20 patients with early left-sided breast cancer who received radiotherapy following breast-conserving surgery were retrospectively analyzed. Three radiotherapy techniques, namely hybrid intensity-modulated radiotherapy (HIMRT), intensity-modulated radiotherapy (IMRT) and volumetric modulated arc therapy (VMAT), were redesigned with the same prescription dose and target conditions. Then, doses to target volume (TV) and organs at risk (OAR), along with the normal tissue complication probability (NTCP) and secondary cancer risk (SCR) for specific organs, were compared.Results:Compared to HIMRT and IMRT, VMAT led to significant decreases in various dosimetric indices of the affected lung and heart and increases in the Dmean doses to the healthy lung and healthy breast and V5 Gy doses to the healthy breast, with the differences being significantly different ( P < 0.05). The average NTCP values of cardiac death, radiation pneumonitis, and pulmonary fibrosis induced by VMAT were 0.41%, 1.62%, and 23.59%, respectively, significantly lower than those caused by other two techniques ( P < 0.05). No statistical differences were found in 10 dosimetric indices of OAR between IMRT and HIMRT, while the NTCP analysis suggested that the risks of cardiac death ( t = 2.70, P < 0.05) and pulmonary fibrosis ( t =4.11, P < 0.05) induced by IMRT were slightly lower than those caused by HIMRT. In addition, the excess absolute risk (EAR) to the healthy lung posed by VMAT was 1.65 and 1.83 times those induced by HIMRT and IMRT, respectively ( z = -3.92, t = -6.43, P < 0.05). In contrast, the EAR to the healthy breast induced by VMAT was 2.79 and 2.65 times those posed by HIMRT and IMRT, respectively ( z = -3.21, -3.70, P < 0.05). Conclusions:Among three intensive-modulated radiotherapy techniques of WBI-SIB for EBC, VMAT provides the optimal protection for the heart and affected lung but leads to the highest SCR to the healthy lung and breast. When VMAT is employed for young EBC patients or those with normal cardiopulmonary function, special attention should be paid to reducing low-dose irradiations to the healthy breast and thereby minimizing SCR. In contrast, VMAT might be more favorable for patients with pronounced cardiopulmonary risks or aged patients.

Objective To investigate the changes in the levels of serum visinin-like protein-1(VILIP-1)and soluble triggering receptor expressed on myeloid cells-1(sTREM-1)in patients with acute cerebral hem-orrhage(ACH)and their correlation with the degree of neurological deficits and prognosis.Methods Totally 115 cases of ACH patients admitted to this hospital from January 2021 to January 2023 were selected as the ACH group,and another 115 healthy volunteers with physical examination in the same period were selected as the control group.The ACH patients were divided into mild deficit group(39 cases),moderate deficit group(46 cases)and severe deficit group(30 cases)according to the degree of neurological deficit assessed by the national institutes of health stroke scale(NIHSS).Patients with ACH were divided into a poor prognosis group(27 cases)and a good prognosis group(88 cases)after 90 d of follow-up according to the prognosis as-sessed by the modified Rankin scale.Serum VILIP-1 and sTREM-1 levels were measured by enzyme-linked immunosorbent assay.Spearman correlation was used to analyze the correlation between NIHSS scores and se-rum VILIP-1 and sTREM-1 levels in ACH patients,a multifactorial Logistic regression model was set up to analyze the factors affecting the prognosis of ACH patients,and the predictive value of serum VILIP-1 and sTREM-1 levels in poor prognosis in ACH patients was analyzed by plotting the receiver operating character-istic(ROC)curve.Results Compared with the control group,serum VILIP-1 and sTREM-1 levels were ele-vated in the ACH group(P＜0.05).Serum VILIP-1 and sTREM-1 levels increased sequentially in the mild-deficiency,moderate-deficiency,and severe-deficiency groups(P＜0.05).Spearman correlation analysis showed a positive correlation between NIHSS scores and serum VILIP-1 and sTREM-1 levels in ACH patients(r=0.792 and 0.781,both P＜0.001).After 90 d of follow-up,the incidence of poor prognosis in 115 ACH patients was 23.48％(27/115).Multifactorial Logistic regression analysis showed that increased hematoma volume and elevated NIHSS score,VILIP-1,and sTREM-1 were independent risk factors affecting the progno-sis of patients with ACH(P＜0.05).ROC curve analysis showed that the area under the curve of serum VIL-IP-1 and sTREM-1 levels combined to predict poor prognosis in ACH patients was 0.872,which was greater than that of serum VILIP-1 and sTREM-1 levels alone,which were 0.784 and 0.772(P＜0.05).Conclusion Ele-vated serum VILIP-1 and sTREM-1 levels in ACH patients are closely associated with increased degree of neurological deficit and poor prognosis,and the combined detection of serum VILIP-1 and sTREM-1 has high predictive value for poor prognosis in ACH patients.

Background Parabens, a widely used class of preservatives, are suspected to be potential obesogens as emerging endocrine disrupting chemicals with reproductive and developmental toxicity. Objective To analyze five urinary parabens (PBs) and estimate the associations of exposure to PBs with adiposity measures in 10-year-old school-age children. Methods A total of 471 school-age children aged 10 years from the Sheyang Mini Birth Cohort were enrolled in this study. A questionnaire survey was conducted to collect socio-demographic information, physical activity, and dietary intake. Weight, height, and waist circumference of children were measured, and age- and sex-adjusted body mass index (BMI-Z score) was calculated. Spot urine samples were collected during the follow-up visits. Urinary concentrations of five PBs including methyl-paraben (MeP), ethyl-paraben (EtP), propyl-paraben (PrP), butyl-paraben (BuP), and benzyl-paraben (BzP) were detected by gas chromatography-tandem mass spectrometry (GC-MS/MS). Generalized linear models (GLMs) and Bayesian kernel machine regression (BKMR) models were applied to estimate associations of individual/overall urinary PBs concentrations with BMI Z-score and waist circumference. Results The positive rates of selected five urinary PBs were in the range from 78.98% to 98.94%. The urinary PBs concentrations (geometric mean) were in the range of 0.31-5.43 μg·L⁻¹. The children's BMI Z-score and waist circumference (mean ± standard deviation) were (0.56±1.40) and (67.62±10.07) cm respectively. The GLMs results showed that the urinary BzP concentration was negatively associated with waist circumference (b=−0.08, 95%CI: −0.14, −0.02; P=0.01). In sex-stratified analysis, the urinary concentration of BzP was negatively associated with BMI-Z score (b=−0.59, 95%CI: −0.88, −0.30; P<0.001) and waist circumference (b=−0.80, 95%CI: −1.23, −0.37; P<0.001) in boys, but not in girls. The BKMR results also found significant negative correlations of urinary BzP concentrations with BMI-Z score and waist circumference, which were consistent with the GLM results. Conclusion The selected 10-year-old children are extensively exposed to PBs in the study area. Furthermore, childhood PBs exposure may have potential impacts on childhood adiposity measures with sex-specific effects.

Objection To investigate the value of CT based radiomics in predicting progression of early acute pancreatitis (AP). Methods:From November 2013 to February 2021, 109 patients diagnosed with AP according to the new revised Atlanta classification in Yijishan Hospital of Wannan Medical College were retrospectively analyzed. The patients were divided into progressive group (40 cases) and non-progressive group (69 cases) according to the follow-up results. All patients underwent plain and enhanced abdominal CT scan within a week of onset. The patients were divided into training set (77 cases, including 28 cases in progressive group and 49 cases in non-progressive group) and validation set (32 cases, including 12 cases in progressive group and 20 cases in non-progressive group) in a ratio of 7∶3 using a computer completely random method. Manual region of interest mapping was performed on all levels of pancreas on the plain scan, arterial phase, venous phase and delayed phase CT images, then performed 3D fusion. AK software was used to extract texture features. The minimum redundancy maximum relevance and minimum absolute shrinkage and selection operator regression analysis were used to select features and establish radiomics labels of the plain scan, arterial phase, venous phase, delayed phase and combining the 4 sequences. The multiple logistic regression analysis was used to establish the clinical model by combining clinical features and CT features, and the comprehensive model was established by combining clinical features, CT features and imaging radiomics label. The receiver operating characteristic (ROC) curve was used to evaluate the efficacy of each model in predicting early AP progression and the decision curve analysis (DCA) was used to evaluate the clinical application value of each model.Results:In the training set, logistic regression results showed that edge was an independent predictor (OR=0.16, P=0.033). The clinical model was established using edge and serum calcium level, and its areas under the ROC curve (AUC) in the training set and validation set were 0.69 and 0.70, respectively. Totally 14, 11, 13, 13 and 9 optimal texture features were extracted from the plain scan, arterial phase, venous phase, delayed phase and combined sequence images, respectively. The delay phase image radiomics label had relatively better predictive performance in training set and validation set, and the AUC were both 0.85. The comprehensive model was established based on the delayed phase image radiomics label (OR=2.22, P<0.001) and edge (OR=0.02, P=0.042), and the AUC in the training set and validation set was 0.90 and 0.86, respectively. DCA showed that both the comprehensive model and the delayed phase radiomics label had better benefits. Conclusions:CT radiomics model has high value for predicting progression of AP, and its clinical benefits exhibited superior performance of clinical model.