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:To explore the value of quantitative perfusion histogram parameters of dynamic contrast-enhanced magnetic resonance imaging DCE-MRI in pathological classification of uterine leiomyoma and its correlation with Ki-67 protein expression. Thirty five patients with uterine leiomyoma confirmed by operation and pathology at Shaoxing People's Hospital from October 2015 to September 2017 were analyzed retrospectivelyincluding 15 cases of ordinary type8 cases of cellular type and 12 cases of degenerative type. All patients were examined by pelvic DCE-MRI before operationand the histogram parameters medianmeanskewnesskurtosisenergyentropy of various quantitative perfusion parametersincluding volume transport constant Krate constant Kextravascular extracellular space distribute volume per unit tissue volume Vblood plasma volume per unit volume of tissue V were calculatedand the efficacy of different parameters in pathological classification of uterine leiomyoma was evaluated by ROC curve. The expression of Ki-67 protein in uterine leiomyoma was detected by immunohistochemical methodand the correlation between histogram parameters and Ki-67 protein expression was analyzed by Pearson and Spearman correlation analysis. The median and mean values of KKV and V in the cellular group were higher than those in the degenerative group and the ordinary group&lt;0.05 or &lt;0.01while the skewness of Vthe skewness and kurtosis of K in the cellular group were lower than those in the ordinary group all &lt;0.05. The entropy of K in the cellular group was higher than that in the degenerative group and the ordinary group all &lt; 0.05. The entropy of V in the cellular group was higher than that in the ordinary group &lt;0.01. The medianmeanskewness of Kmedian and mean of Kmedian and mean of Vmedianmeanenergy and entropy of V were correlated with Ki-67 expressionall &lt;0.05. The results of ROC curve analysis showed that the median threshold of K was 0.994/minthe sensitivity and specificity for the diagnosis of cellular uterine leiomyoma were 100.0% and 77.8% respectivelyand the area under the ROC curve was 0.949. When the mean threshold of K was 1.170/minthe sensitivity and specificity for diagnosing cellular uterine leiomyoma were 100.0% and 77.8% respectivelyand the area under the ROC curve was 0.958. The area under the ROC curve of K entropyK medianmeanV medianmeanentropy in the diagnosis of cellular uterine leiomyoma were 0.755-0.907. :DCE-MRI quantitative perfusion histogram parameters have high diagnostic value in differentiating pathological types of uterine leiomyomaespecially for cellular uterine leiomyoma.

Quantitative perfusion histogram parameters of dynamic contrast-enhanced MRI to identify different pathological types of uterine leiomyoma