To explore the accuracy of controlled attenuation parameter(CAP)in assessing liver steatosis in chronic hepatitis B,and to analyze factors affecting the diagnostic accuracy of CAP.The clinical data of 215 patients with chronic hepatitis B were retrospectively collected,the diagnostic performance of CAP was analyzed using the receiver operating characteristic(ROC)curve,and the optimal cutoff value of CAP to evaluate different degrees of hepatic steatosis was obtained to distinguish different degrees of hepatic steatosis.To analyze the inconsistency between CAP and magnetic resonance proton density fat fraction(MRI-PDFF)in assessing the stage of hepatic steatosis.Logistic regression was used to analyze risk factors for CAP misdiagnosis.The results showed that in the entire study population,CAP had good diagnostic performance in diagnosing steatosis with or without steatosis,mild steatosis,and moderate to severe steatosis.According to the inconsistency in the diagnosis of steatosis stage between CAP and MRI-PDFF,patients were divided into a diagnostic consistency group and a diagnostic inconsistency group.Logistic regression results showed that age and BMI were independent risk factors for misdiagnosis of CAP.Although CAP has a certain misdiagnosis rate in assessing hepatic steatosis in chronic hepatitis B,it still has good diagnostic accuracy.
The purpose of this study was to investigate the role of CT signs in the perforation of acute appendicitis in the elderly,so as to improve the diagnosis level of the disease.The CT imaging data of 36 cases of acute appendicitis perforated by laparoscopic appendectomy and pathologically confirmed were retrospectively analyzed and compared with 102 cases of acute appendicitis without perforation.Appendiceal diameter,appendiceal fecalith,air accumulation in appendiceal cavity,air accumulation outside appendiceal cavity,peritoneal thickening and abdominal and pelvic effusion were clearly shown,with statistical differences(P＜0.05).There was no significant difference in fat density around the appendix(P＞0.05).The most direct sign in the qualitative diagnosis of perforation of appendicitis was extravehicular gas(100％).Binary Logistic regression analysis showed that appendix diameter,peritoneal thickening and abdominal and pelvic effusion were the risk factors for appendix perforation(P＜0.05).The ROC curve showed that the diameter of the appendix increased(AUC=0.769),the peritoneum thickened(AUC=0.696)and the abdominal pelvic effusion(AUC=0.601).When appendectomy diameter thickened ≥12.35 mm,peritoneal thickening combined with abdominal and pelvic effusion combined diagnosis,the area under ROC curve was up to 0.840.It can be seen that CT image features can provide reliable imaging indicators for the perforation of acute appendicitis in the elderly,and have guiding significance for clinical treatment.
Multivariate Logistic regression analysis was used to construct an MRI multiparametric diagnostic prediction model of breast nodules and to verify the diagnostic efficacy of this model.A total of 205 lesions were retrospective analysis in patients with breast lesions,including 113 malignant lesions and 92 benign lesions.The morphological and kinetic characteristics of the benign and malignant lesions were observed.Using the malignant group as the experimental group and the benign group as the control group,205 lesions were randomly divided into 174 samples in the training set and 31 samples in the external validation test set.Through statistical analysis,build the prediction model with the training set data and draw its nomogram;use the external verification test set sample to verify the consistency of model diagnosis;draw the receiver operator characteristic(ROC)curve and verify the differentiation of the model by calculating the area under the curve(AUC)to evaluate the sensitivity,specificity and accuracy of the model in the differential diagnosis of benign and malignant breast nodules.After screening,the independent risk factors included in the prediction model were patient age and lesion ADC value,TIC curve,lesion size.and enhancement characteristics.After the study,the prediction accuracy of the prediction model for benign and malignant breast nodules reached 92.2％in this sample.Therefore,the nomogram based on Logistic regression analysis has a high reference value for the prediction of benign and malignant breast nodules.
Studying the diagnostic sensitivity of abdominal ultrasound combined with dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)in ovarian tumor-like lesions.In patients with clinically suspected ovarian tumor-like lesions.All patients underwent abdominal ultrasound DOS combined with DCE-MRI,with the postoperative pathological results as the"gold standard".To explore the positive and negative findings of abdominal ultrasound combined with DCE-MRI.Compare the diagnostic efficacy of abdominal ultrasound combined with DCE-MRI(specificity,sensitivity).Also compare the resistance index(RI)of abdominal ultrasound combined with DCE-MRI examination.Automatic calculation of volume transfer constant(Ktrans),rate constant(Kep)and the vascular extracellular space volume ratio(Ve)using matching software.Receiver operator characteristic(ROC)curve analysis model diagnostic value.The results found that the sensitivity of abdominal ultrasound combined with DCE-MRI(96.77％)and specificity(98.55％)were higher than those of single abdominal ultrasound and DCE-MRI(P＜0.05).The RI index of ovarian tumor group was higher than that of ovarian tumor group,and Ktrans,Kep and Ve levels were lower than that of ovarian tumor group(P＜0.05).The optimal cut-off value of drawing ROC curve prediction model was 0.088,suggesting that the diagnostic value of abdominal ultrasound combined with DCE-MRI in ovarian tumor lesions was high.
To explore the risk factors affecting intraoperative bleeding volume in cesarean scar pregnancy(CSP)after cesarean section,and to search for clinical and ultrasound indicators that can predict intraoperative bleeding volume in CSP.A retrospective study was conducted to analyze the clinical and ultrasound data of 133 patients with CSP,and the patients were divided into group A(bleeding volume＜100 mL)and group B(bleeding volume≥100 mL)based on whether the intraoperative bleeding volume was more than 100 mL.Logistic regression model was used to analyze the risk factors related to intraoperative bleeding volume in patients.Logistic regression model screened the maximum diameter of gestational sac and the residual myometrial thickness as independent risk factors for predicting intraoperative bleeding volume,with cutoff values of 32.5 mm and 2.45 mm,respectively.In this study,we concluded that residual myometrial thickness and the maximum diameter of gestational sac are independent risk factors for predicting intraoperative bleeding volume during CSP.
