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抽象的
BACKGROUND AND PURPOSE:Accurate differentiation of paragangliomas and schwannomas in the jugular foramen has important clinical implications because treatment strategies may vary but differentiation is not always straightforward with conventional imaging. Our aim was to evaluate the accuracy of both qualitative and quantitative metrics derived from dynamic contrast-enhanced MR imaging using golden-angle radial sparse parallel MR imaging to differentiate paragangliomas and schwannomas in the jugular foramen.
材料和方法:对患者进行了对成像数据的回顾性研究(n= 30)使用金角径向稀疏平行的MR成像技术进行颈孔的MR成像。对成像数据进行后处理以获得时间强度曲线和定量参数。将数据标准化到硬脑膜静脉窦的相关参数,并使用学生分析统计显着性t测试。使用洗涤速率作为变量,创建了一个单变量的逻辑模型,该模型是使用二进制输出或paraganglioma或schwannoma创建的。另外,使用3年最邻居的方法,根据洗涤速率和冲洗率聚集了病变。
结果:There were 22 paragangliomas and 8 schwannomas. All paragangliomas demonstrated a type 3 time-intensity curve, and all schwannomas demonstrated a type 1 time-intensity curve. There was a statistically significant difference between paragangliomas and schwannomas when comparing their values for area under the curve, peak enhancement, wash-in rate, and washout rate. A univariate logistic model with a binary output (paraganglioma or schwannoma) using wash-in rate as a variable was able to correctly predict all observed lesions (p< .001). All 30 lesions were classified correctly by using a 3-nearest neighbors method.
结论:当成像特性不足时,使用金角径向稀疏平行的MR成像 - 动力对比成像成像时,可以可靠地与颈孔的paragangliomas可靠地与Schwannomas区分开。
缩写:
- AUC
- 曲线下的区域
- DCE
- 动态对比度增强
- EES
- 血管外细胞外空间
- 抓牢
- 金角径向稀疏平行
- kep
- 速率转移常数
- k 反式
- 体积传输常数
- ser
- 信号增强比
- 3-nn
- 3年最邻居
- 抽动
- 时间强度曲线
- TME
- 最大时间增强时间
- VE
- 血管外空间血浆体积分数
- VP
- 等离子体体积分数
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