Objective To construct a clinical-radiological nomo-gram model for severe mycoplasma pneumoniae pneumonia coinfec-tion with other pathogens(Co-SMPP)in children.Methods The clinical and radiological data of children with severe mycoplasma pneumoniae pneumonia(SMPP)who underwent nucleic acid testing or bronchoalveolar lavage(BAL)were analyzed retrospectively.The data analysis were performed by using SPSS 27.0 software.The group comparison between simple SMPP and Co-SMPP children was conducted by using t-tests,Mann-Whitney U tests,or chi-square tests.Nomogram analysis was performed by using R software and rms packages.The predictive performance of the model was evaluated by using the receiver operating characteristic(ROC)curve.Results A total of 194 SMPP children were included in the study,including 136 cases(70.1％)with simple SMPP,58 cases(29.9％)with Co-SMPP.The fibrinogen and albumin levels were lower in Co-SMPP children[(3.53±0.85)g/L,41.00(39.03,43.68)g/L]than in simple SMPP children[(3.79±0.80)g/L,42.80(41.00,44.40)g/L],with P values of 0.047 and 0.036,respec-tively.The probability of bronchial stenosis and grid shadow were higher in Co-SMPP children than in simple SMPP children,and there were significant differences between the two groups(P＜0.001,P=0.010).The odds ratio of bronchial stenosis in predicting Co-SMPP children was 14.085.The clinical-radiological nomogram model had an area under the curve(AUC)of 0.840,with sensi-tivity and specificity of 0.756 and 0.848,respectively.Conclusion The nomogram model based on clinical-radiological features can effectively predict Co-SMPP.

Objectives:This study aims to explore the relationship between the pericoronary fat attenuation index(FAI)and triglyceride-glucose(TyG)index and atrial fibrillation recurrence after radiofrequency catheter ablation(RFCA)in patients with atrial fibrillation(AF).Methods:This retrospective study enrolled consecutive AF patients who underwent their first successful RFCA at the Affiliated Hospital of Xuzhou Medical University from 2019 to 2023.Pericoronary FAI was quantitatively measured,and the TyG index was calculated.Patients were divided into three groups according to the TyG index quartile:T1 group(TyG index<8.45,n=114);T2 group(8.45≤TyG index≤8.93,n=114);T3 group(TyG index>8.93,n=120).Linear regression was used to analyze the correlation between the TyG index and proximal FAI of three coronary arteries.Logistic regression was employed to explore the correlation between pericoronary FAI,TyG index,and AF recurrence post-RFCA,restrictive cubic splines(RCS)were plotted.Additive interaction and mediation analyses were used to explore the role of pericoronary FAI in the relationship between the TyG index and post-RFCA AF recurrence.Subgroup analysis was performed to explore the predictive value of the TyG index for postoperative recurrence in different patient subgroups.Results:A total of 348 patients were included.After adjusting for confounding factors using linear regression analysis,each unit increase in the TyG index was associated with a 5.389 HU increase in left circumfleex artery(LCX-FAI)(95%CI:3.874-6.904,P<0.001).During one-year follow-up,90 cases(25.86%)experienced AF recurrence.RCS analysis indicated that there was no significant nonlinear relationship between LCX-FAI,TyG index,and AF recurrence after RFCA(Pnon-linear=0.378,Pnon-linear=0.469).The recurrence rate of AF in patients with TyG index>9.08 and LCX-FAI>-83.65 HU was about 57.737 times higher than those with TyG index≤9.08 and LCX-FAI≤-83.65 HU(OR=57.737,95%CI:23.755-155.656,P<0.001).There was an additive interaction between the TyG index and LCX-FAI:relative excess risk due to interaction(RERI)was 50.901(95%CI:0.215-101.587),attributable proportion due to interaction(AP)was 0.882(95%CI:0.769-0.994),and the synergy index(S)was 9.713(95%CI:3.380-27.910).Mediation analysis indicated that LCX-FAI mediated 22%of the relationship between the TyG index and AF recurrence.Subgroup analysis revealed no multiplicative interaction between the type of atrial fibrillation and the TyG index in terms of AF recurrence risk(Pinteraction=0.562).Conclusions:In patients with atrial fibrillation,the TyG index is positively correlated with LCX-FAI,patients with TyG index>9.08 and LCX-FAI>-83.65 HU have significantly increased risk of AF recurrence after RFCA.LCX-FAI partially mediates the relationship between the TyG index and post-RFCA recurrence.Furthermore,the TyG index can effectively predict AF recurrence in both persistent and paroxysmal atrial fibrillation patients.

Objective To explore the prediction efficiency of Ki-67 expression status in pituitary adenoma(PA)based on a joint model of siamese network and transfer learning.Methods The preoperative MR T1WI enhanced sequence images of 370 patients with PA diagnosed by surgery and pathology were retrospectively collected.According to the results of immunohistochemical,all patients were divided into high proliferation index group(Ki-67≥3,n=97)and low proliferation index group(Ki-67＜3,n=273),and all the sample data were randomly divided into training set and test set according to the ratio of 7∶3.Two single predictive models,ResNet-50 and VGGNet-16 and combined them with the siamese network and transfer learning were built.The prediction efficiency of different models were evaluated via accuracy rate,precision rate,recall rate,F1 score and receiver operating characteristic(ROC)curve as the main criteria.Results Compared with a single predictive model,the model combined with siamese network and transfer learning showed a better performance for predicting the Ki-67 of PA.Additionally,the ResNet-50 joint model exhibited the superior predictive performance.The accuracy rate was 0.872 7,the precision rate was 0.812 5,the recall rate was 0.764 7,the F1 score was 0.787 9,and the area under the curve(AUC)was 0.841 6.Conclusion The joint model based on siamese network and transfer learning exhibits a higher efficiency for predicting the Ki-67 expression status in PA,which can help the clinicians to formulate more personalized treatment for the patients.

Objective To investigate the correlation between dual-energy computed tomography angiography(CTA)parameters of carotid plaques and acute stroke events.Methods A retrospective analysis was conducted on the clinical and imaging data of patients who underwent dual-energy head and neck CTA and brain MRI scans.Utilizing the Siemens workstation(Syngo.Via VB40B),region of interest(ROI)were placed on the thickest slice of the carotid plaque in the axial plane to obtain parameters such as fat fraction(FF),virtual non-contrast(VNC)value,iodine concentration(IC),electron density(Rho),effective atomic number(Zeff),dual energy index(DEI),spectral curve,and corresponding CT values at 40 keV(40 keVHU)and 90 keV(90 keVHU).The slope of the energy spectrum curve(λ)was calculated within the 40 keV-90 keV range.Patients with acute cerebral infarction(ACI)in the ipsilateral anterior circulation territory were classified into the ACI group,while those without were classified into the non-acute cerebral infarction(NACI)(NACI group).Qualitative data were analyzed using the x2 test,and quantitative data were analyzed using the t-test.The predictive performance was assessed using the area under the curve(AUC)of the receiver operating characteristic(ROC)curve,and the differences between different ROC curves were compared using the DeLong test.Results A total of 72 patients were included,with 21 in the ACI group and 51 in the NACI group.The mean values of FF,Zeff,and 40 keVHU in the ACI group were greater than those in the NACI group.Statistically significant differences were observed between the groups for Zeff,DEI,40 keVHU,and λ(P＜0.05).40 keVHU demonstrated the highest predictive performance,and the AUC,sensitivity,and specificity was 0.789,81.0％,and 74.5％,respectively.A combined variable constructed through logistic regression analysis yielded an AUC,sensitivity,and specificity of 0.796,85.7％,and 70.6％,respectively,with no significant statistical differences compared to single factor variables.Conclusion Dual-energy CTA parameters of carotid plaques may aid in predicting intraplaque hemorrhage(IPH)and the occurrence of acute stroke events.

Objective:To investigate the training mode of outstanding talents in medical imaging in the context of "new medicine".Methods:Aiming at the 138 undergraduate students of medical imaging in the class of 2019, this study proposed a new model of "1+Medicine+X" based on "emphasis on ideology and politics", "strengthening practice", and "interdisciplinary training", which targeted the problems in the traditional teaching process, and the methods such as self-made course satisfaction questionnaires and achievements data collection were used to evaluate the effectiveness of teaching reform.Results:Through five years of reform practice, landmark accomplishments had been achieved in the construction of majors and courses (national and provincial first-class undergraduate majors), with significant improvements in the comprehensive ability and teaching satisfaction of students (process evaluation increased to 50.00%, teaching satisfaction increased to 96.20%), and the teaching reform had been widely recognized by the society.Conclusions:The "1+Medicine+X" model can effectively improve the training quality of medical imaging talents and thus provides a new paradigm for the disciplinary development of imaging and the cultivation of outstanding talents in the context of new medicine.

Objective:Papillary thyroid carcinoma with a maximum tumor diameter of ≤1 cm was defined as papillary thyroid carcinoma (PTC). To explore the clinical risk factors of central lymph node metastasis (CLNM) in PTC at different locations.Methods:The clinical and pathological data of 1383 cases with solitary PTC in Hangzhou First People’s Hospital were retrospectively analyzed, and they were divided into isthmus group (175 cases), near-isthmus group (95 cases) and lateral lobe group (1113 cases) according to their tumor location. Univariate and multivariate analyses were used to analyze the relationship between gender, age, tumor maximum diameter, Hashimoto’s thyroiditis (HT) and CLNM, and the threshold for the occurrence of CLNM in each group of age and tumor maximum diameter was determined by the area under the receiver operating characteristic (ROC) .Results:The proportion of CLNM in the isthmus group, near-isthmus group and the lateral lobe group were 39.4% (69/175), 35.8% (34/95) and 29.6% (329/1113), respectively ( χ2=7.84, P=0.020). The intra-group comparison showed that there were statistical differences between the isthmus group and the lateral lobe group ( χ2=6.90, P=0.011), and there were no statistical differences between the isthmus group and near-isthmus group ( χ2=0.35, P=0.601), and near-isthmus group and the lateral leaf group ( χ2=1.62, P=0.313). Univariate and multivariate analysis showed that male ( OR: 3.697) and age < 38.5 years ( OR: 4.727) were independent risk factors for CLNM in PTC in the Isthmus Group, while male ( OR: 2.193), without HT ( OR: 1.702), tumor maximum diameter > 6.5 mm ( OR: 2.535) and age < 45.5 years ( OR: 3.030) were independent risk factors for CLNM in PTC in the lateral lobe group. Conclusions:Male sex and age are independent risk factors for CLNM in isthmus and lateral lobe PTC, and uncomplicated HT and tumor maximum diameter are also independent risk factors for CLNM in lateral lobe PTC. The incidence of CLNM in PTC in the isthmus, near-isthmus and lateral lobes decreased sequentially, and PTC in the near isthmus can not be simply regarded as the isthmus or lateral lobe PTC, and the lymph nodes in the central area should be fully evaluated before surgery to provide individualized treatment.

Objective:To investigate the training mode of outstanding talents in medical imaging in the context of "new medicine".Methods:Aiming at the 138 undergraduate students of medical imaging in the class of 2019, this study proposed a new model of "1+Medicine+X" based on "emphasis on ideology and politics", "strengthening practice", and "interdisciplinary training", which targeted the problems in the traditional teaching process, and the methods such as self-made course satisfaction questionnaires and achievements data collection were used to evaluate the effectiveness of teaching reform.Results:Through five years of reform practice, landmark accomplishments had been achieved in the construction of majors and courses (national and provincial first-class undergraduate majors), with significant improvements in the comprehensive ability and teaching satisfaction of students (process evaluation increased to 50.00%, teaching satisfaction increased to 96.20%), and the teaching reform had been widely recognized by the society.Conclusions:The "1+Medicine+X" model can effectively improve the training quality of medical imaging talents and thus provides a new paradigm for the disciplinary development of imaging and the cultivation of outstanding talents in the context of new medicine.

Objectives:This study aims to explore the relationship between the pericoronary fat attenuation index(FAI)and triglyceride-glucose(TyG)index and atrial fibrillation recurrence after radiofrequency catheter ablation(RFCA)in patients with atrial fibrillation(AF).Methods:This retrospective study enrolled consecutive AF patients who underwent their first successful RFCA at the Affiliated Hospital of Xuzhou Medical University from 2019 to 2023.Pericoronary FAI was quantitatively measured,and the TyG index was calculated.Patients were divided into three groups according to the TyG index quartile:T1 group(TyG index<8.45,n=114);T2 group(8.45≤TyG index≤8.93,n=114);T3 group(TyG index>8.93,n=120).Linear regression was used to analyze the correlation between the TyG index and proximal FAI of three coronary arteries.Logistic regression was employed to explore the correlation between pericoronary FAI,TyG index,and AF recurrence post-RFCA,restrictive cubic splines(RCS)were plotted.Additive interaction and mediation analyses were used to explore the role of pericoronary FAI in the relationship between the TyG index and post-RFCA AF recurrence.Subgroup analysis was performed to explore the predictive value of the TyG index for postoperative recurrence in different patient subgroups.Results:A total of 348 patients were included.After adjusting for confounding factors using linear regression analysis,each unit increase in the TyG index was associated with a 5.389 HU increase in left circumfleex artery(LCX-FAI)(95%CI:3.874-6.904,P<0.001).During one-year follow-up,90 cases(25.86%)experienced AF recurrence.RCS analysis indicated that there was no significant nonlinear relationship between LCX-FAI,TyG index,and AF recurrence after RFCA(Pnon-linear=0.378,Pnon-linear=0.469).The recurrence rate of AF in patients with TyG index>9.08 and LCX-FAI>-83.65 HU was about 57.737 times higher than those with TyG index≤9.08 and LCX-FAI≤-83.65 HU(OR=57.737,95%CI:23.755-155.656,P<0.001).There was an additive interaction between the TyG index and LCX-FAI:relative excess risk due to interaction(RERI)was 50.901(95%CI:0.215-101.587),attributable proportion due to interaction(AP)was 0.882(95%CI:0.769-0.994),and the synergy index(S)was 9.713(95%CI:3.380-27.910).Mediation analysis indicated that LCX-FAI mediated 22%of the relationship between the TyG index and AF recurrence.Subgroup analysis revealed no multiplicative interaction between the type of atrial fibrillation and the TyG index in terms of AF recurrence risk(Pinteraction=0.562).Conclusions:In patients with atrial fibrillation,the TyG index is positively correlated with LCX-FAI,patients with TyG index>9.08 and LCX-FAI>-83.65 HU have significantly increased risk of AF recurrence after RFCA.LCX-FAI partially mediates the relationship between the TyG index and post-RFCA recurrence.Furthermore,the TyG index can effectively predict AF recurrence in both persistent and paroxysmal atrial fibrillation patients.

Objective To investigate the correlation between dual-energy computed tomography angiography(CTA)parameters of carotid plaques and acute stroke events.Methods A retrospective analysis was conducted on the clinical and imaging data of patients who underwent dual-energy head and neck CTA and brain MRI scans.Utilizing the Siemens workstation(Syngo.Via VB40B),region of interest(ROI)were placed on the thickest slice of the carotid plaque in the axial plane to obtain parameters such as fat fraction(FF),virtual non-contrast(VNC)value,iodine concentration(IC),electron density(Rho),effective atomic number(Zeff),dual energy index(DEI),spectral curve,and corresponding CT values at 40 keV(40 keVHU)and 90 keV(90 keVHU).The slope of the energy spectrum curve(λ)was calculated within the 40 keV-90 keV range.Patients with acute cerebral infarction(ACI)in the ipsilateral anterior circulation territory were classified into the ACI group,while those without were classified into the non-acute cerebral infarction(NACI)(NACI group).Qualitative data were analyzed using the x2 test,and quantitative data were analyzed using the t-test.The predictive performance was assessed using the area under the curve(AUC)of the receiver operating characteristic(ROC)curve,and the differences between different ROC curves were compared using the DeLong test.Results A total of 72 patients were included,with 21 in the ACI group and 51 in the NACI group.The mean values of FF,Zeff,and 40 keVHU in the ACI group were greater than those in the NACI group.Statistically significant differences were observed between the groups for Zeff,DEI,40 keVHU,and λ(P＜0.05).40 keVHU demonstrated the highest predictive performance,and the AUC,sensitivity,and specificity was 0.789,81.0％,and 74.5％,respectively.A combined variable constructed through logistic regression analysis yielded an AUC,sensitivity,and specificity of 0.796,85.7％,and 70.6％,respectively,with no significant statistical differences compared to single factor variables.Conclusion Dual-energy CTA parameters of carotid plaques may aid in predicting intraplaque hemorrhage(IPH)and the occurrence of acute stroke events.

Objective To explore the prediction efficiency of Ki-67 expression status in pituitary adenoma(PA)based on a joint model of siamese network and transfer learning.Methods The preoperative MR T1WI enhanced sequence images of 370 patients with PA diagnosed by surgery and pathology were retrospectively collected.According to the results of immunohistochemical,all patients were divided into high proliferation index group(Ki-67≥3,n=97)and low proliferation index group(Ki-67＜3,n=273),and all the sample data were randomly divided into training set and test set according to the ratio of 7∶3.Two single predictive models,ResNet-50 and VGGNet-16 and combined them with the siamese network and transfer learning were built.The prediction efficiency of different models were evaluated via accuracy rate,precision rate,recall rate,F1 score and receiver operating characteristic(ROC)curve as the main criteria.Results Compared with a single predictive model,the model combined with siamese network and transfer learning showed a better performance for predicting the Ki-67 of PA.Additionally,the ResNet-50 joint model exhibited the superior predictive performance.The accuracy rate was 0.872 7,the precision rate was 0.812 5,the recall rate was 0.764 7,the F1 score was 0.787 9,and the area under the curve(AUC)was 0.841 6.Conclusion The joint model based on siamese network and transfer learning exhibits a higher efficiency for predicting the Ki-67 expression status in PA,which can help the clinicians to formulate more personalized treatment for the patients.