1.To construct a nomogram model for severe mycoplasma pneumoniae pneumonia coinfection with other pathogens in children
Wenbei XU ; Chenzi WANG ; Juan LONG ; Xiaohan LIU ; Lingjian MENG ; He ZHANG ; Xiaonan SUN ; Haiquan KANG ; Yiping MAO ; Yankai MENG ; Chunfeng HU ; Kai XU
Journal of Practical Radiology 2025;41(5):828-832
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.
2.To construct a nomogram model for severe mycoplasma pneumoniae pneumonia coinfection with other pathogens in children
Wenbei XU ; Chenzi WANG ; Juan LONG ; Xiaohan LIU ; Lingjian MENG ; He ZHANG ; Xiaonan SUN ; Haiquan KANG ; Yiping MAO ; Yankai MENG ; Chunfeng HU ; Kai XU
Journal of Practical Radiology 2025;41(5):828-832
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.
3.The preliminary application of cinematic rendering reconstruction technology in acute aortic dissection
He ZHANG ; Zhongxiao LIU ; Meng YU ; Miao YU ; Ziyou WANG ; Wenbei XU ; Xiaonan SUN ; Shenman QIU ; Lixiang XIE ; Yanchun ZHANG ; Yankai MENG ; Cunjie SUN ; Kai XU
Journal of Practical Radiology 2024;40(10):1620-1624
Objective To analyze the clinical application value of cinematic rendering(CR)reconstruction technology in acute aortic dissection(AAD),and to compare the imaging quality between CR and volume rendering(VR)reconstruction.Methods Patients with suspected A AD who underwent aortic computed tomography angiography(CTA)were analyzed retrospectively.All images were uploaded to Siemens Syngo.via post-processing workstation for VR and CR three-dimensional reconstruction,respectively.The optimized view angle,staining and transparency were selected and segmented by a radiologist to display the lesion to the full extent.All subjective evaluations of post-processing images were randomly evaluated on Siemens Syngo.via post-processing workstation by two radiologists.The two radiologists reached a consensus after consultation,and the results without consensus were evaluated by another senior radiologist.The 3-point scale was used in the subjective evaluation of post-processing images.The scores of rupture,endometrium,and true and false cavity were recorded.The diagnostic confidence was also recorded.Results A total of 21 ADD patients were enrolled,11 patients(52.3%)were Debakey Ⅲ type.The scores of rupture in CR and VR reconstruction were 2.952 points and 2.619 points,respectively,which had significant difference(P=0.016).For the endometrium of AAD,the score of all 21 patients in the CR reconstruction was 3 points,while only 7 patients(33.3%)in the VR reconstruction had 3 points,which showed significant difference between the both(P<0.001).For the true and false cavity of AAD,only 1 patient(4.8%)in the VR reconstruction was 3 points,while all 21 patients in the CR reconstruction had 3 points(P<0.001).The scores of CR reconstruction on the diagnostic confidence were significantly higher than those of VR reconstruction(P<0.001).Conclusion CR reconstruction can provide photorealistic anatomical post-processing images,and can improve the display and evaluation of AAD.

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