Dynamic ⁃ contrast enhanced MRI combined diffusion ⁃ weighted image in differentiating malignant uterine mesenchymal tumours from leiomyomas with restricted diffusion on diffusion weighted imaging
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R445.2

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    Abstract:

    Objective:To evaluate the diagnostic ability of dynamic-contrast enhanced magnetic resonance imaging(DCE-MRI)and apparent diffusion coefficient(ADC)in differentiating smooth muscle tumours of uncertain malignant potential(STUMP)or malignant uterine mesenchymal tumours from leiomyomas that manifests restricted diffusion on diffusion-weighted imaging(DWI). Methods:A total of 68 patients with pathologically confirmed uterine mesenchymal tumors that manifest restricted diffusion on DWI(b=800 s/mm2 ) were included between January 2016 and September 2021. We assessed conventional MR features of the lesions. Histogram analysis was performed based on ADC and DCE -MRI,and the derived quantitative parameters were compared between STUMP or malignant uterine mesenchymal tumours(n=23)and leiomyomas that manifest restricted diffusion on DWI(n=45). Receiver operating characteristic(ROC)curve was used for evaluating diagnostic performance. Results:The incidence of cystic necrosis in the STUMP or malignant group was higher than that in the non -malignant group(34.8% vs. 8.9%,P=0.016). ADCmedian and Ve median of the STUMP or malignant group were significantly lower than nonmalignant group(P < 0.001,P=0.012),with the highest area under the curve(AUC) for distinguishing STUMP or malignant uterine mesenchymal tumours reaching 0.795 and 0.713. ADCmedian+ Ve median improved AUC to 0.850. ADCmedian+Ve median+with or without cystic necrosis yield the highest AUC(0.883). Conclusion:The combination of ADC,DCE-MRI parameters and conventional MR features may serve as sensitive indicators for differentiating malignant uterine mesenchymal tumours from leiomyomas showing restricted diffusion on DWI.

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蒋晓婷,宋佳成,张爱宁,罗成燕,陈婷,刘希胜.动态对比增强磁共振结合表观弥散系数鉴别恶性子宫间叶性肿瘤与弥散受限的子宫肌瘤[J].南京医科大学学报(自然科学版英文版),2023,(5):626-633.

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  • Received:January 27,2023
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  • Online: May 18,2023
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