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Objective@#To evaluate the value of MRI-T2WI texture analysis in the differentiation of atypical medulloblastoma and ependymoma of the fourth ventricle.@*Methods@#Preoperative MRI data of 36 cases of fourth ventricle tumor (19 cases of medulloblastoma and 17 cases of ependymoma) confirmed by the Central Theater General Hospital of the Chinese People′s Liberation Army were retrospectively analyzed. Manually sketch areas of interest (ROI) were made using texture analysis software to get histogram parameters, including mean, median, standard deviation, skewness, kurtosis, maximum, minimum, heterogeneity, entropy, the 5th percentile (T2WI5th), the 10th percentile (T2WI10th), the 25th percentile (T2WI25th), the 50th percentile (T2WI50th), the 75th percentile(T2WI75th), the 95th percentile(T2WI95th). Independent sample t test or mann-whitney U test was used for statistical analysis of each parameter value between the two groups. Logistic regression analysis was used to perform multiparameter joint analysis on meaningful parameters. The area under the curve (AUC) was obtained by using the subject operating characteristic (ROC) curve to determine the threshold and diagnostic efficacy for distinguishing the two group.@*Results@#The mean, median, T2WI5th, T2WI10th, T2WI25th, T2WI50th, T2WI75th values of the medulloblastoma group were smaller than those of the ependymoma group, and difference was statistically significant (P<0.05). The T2WI5th had the best diagnostic performance. When the critical value was 1 343, the diagnostic specificity was 75.0% and the sensitivity was 92.9%. Logistic regression was used to predict the joint analysis of probability parameters. T2WI5th+T2WI10th had the best performance, and AUC was 0.928. When the critical value was 0.75, the diagnostic specificity was 75.0% and the sensitivity was 100.0%.@*Conclusions@#MRI-T2WI texture analysis can provide quantitative information for preoperative diagnosis of atypical medulloblastoma and ependymoma and improve the accuracy of preoperative diagnosis, which has obvious clinical value.
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Objective To evaluate the value of MRI-T2WI texture analysis in the differentiation of atypical medulloblastoma and ependymoma of the fourth ventricle.Methods Preoperative MRI data of 36 cases of fourth ventricle tumor (19 cases of medulloblastoma and 17 cases of ependymoma) confirmed by the Central Theater General Hospital of the Chinese People's Liberation Army were retrospectively analyzed.Manually sketch areas of interest (ROI) were made using texture analysis software to get histogram parameters,including mean,median,standard deviation,skewness,kurtosis,maximum,minimum,heterogeneity,entropy,the 5th percentile (T2WI5th),the 10th percentile (T2WI10th),the 25th percentile (T2WI25th),the 50th percentile (T2WI50th),the 75th percentile(T2WI75th),the 95th percentile (T2WI95th).Independent sample t test or mann-whitney U test was used for statistical analysis of each parameter value between the two groups.Logistic regression analysis was used to perform multiparameter joint analysis on meaningful parameters.The area under the curve (AUC) was obtained by using the subject operating characteristic (ROC) curve to determine the threshold and diagnostic efficacy for distinguishing the two group.Results The mean,median,T2WI5th,T2W10th,T2WI25th,T2WI50th,T2WI75th values of the medulloblastoma group were smaller than those of the ependymoma group,and difference was statistically significant (P ＜ 0.05).The T2WI5th had the best diagnostic performance.When the critical value was 1 343,the diagnostic specificity was 75.0％ and the sensitivity was 92.9％.Logistic regression was used to predict the joint analysis of probability parameters.T2WI15th+T2WI10th had the best performance,and AUC was 0.928.When the critical value was 0.75,the diagnostic specificity was 75.0％ and the sensitivity was 100.0％.Conclusions MRI-T2WI texture analysis can provide quantitative information for preoperative diagnosis of atypical medulloblastoma and ependymoma and improve the accuracy of preoperative diagnosis,which has obvious clinical value.
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Objective To evaluate the imaging performance and characteristics of peripheral primitive neuroectodermal tumors (pPNET), in order to raise awareness of the disease and the diagnostic accuracy. Methods Thirteen patients with pPNET who confirmed by puncture or pathology were enrolled in this study. The CT and MRI features were retrospectively analyzed. Four patients received simple routine CT examination, and 9 patients had MRI examination based on X-ray, CT examination. Results The part of body involved was more widely.Two patients occurred in the sinuses, 1 patient in the chest wall, 1 patient in the lung, and 3 patients in the abdominal and pelvic(1 patient involved the pelvic floor through the pelvic wall lesions to basins), 1 patient in the spine, and 5 patients located in the extremities. The characteristics of pPNET by CT and MRI in soft tissue of 8 patients showed single large soft tissue mass, and the biggest was 11.2 cm × 10.6 cm. In bonds and joints of 5 patients, CT and MRI showed wide range of soft tissue mass, mixed internal signal/density with obviously uneven enhancement, significant bone destruction and dissolvable osseous changes, and no obvious tumor bone and calcification. Conclusions Each site has its relative imaging characteristics of pPNET. CT and MRI can show lesions involving the scope, internal structure, with or without adjacent tissue invasion and metastasis, and provide guidance for clinical treatment and selecting treatment regimen. But in the end, it depends on the diagnosis of pathological and immunohistochemical examination.