扩散加重成像和动态对比增强MRI在腺瘤囊性癌症的病理分级的诊断值
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在PubMed上查看摘要
概括
此摘要是机器生成的。动态对比增强MRI (DCE-MRI) 和明显扩散系数 (ADC) 预测腺囊性癌 (ACC) 的瘤等级. Ktrans,iAUC和ADC值显示出强大的诊断潜力,用于非侵入性分级.
科学领域
- 癌症学
- 放射学
- 医学成像
背景情况
- 腺囊性癌症 (ACC) 需要精确的病理分类来治疗.
- 目前的分类方法可能具有侵入性或缺乏精度.
- 需要非侵入性成像生物标志物来更好地描述瘤.
研究的目的
- 评估DCE-MRI和ADC参数在区分ACC的组织病理学等级的联合实用性.
- 评估个人和联合成像参数的诊断性能.
主要方法
- 对23名耳部和部ACC患者的回顾性分析.
- 获得常规的MRI,DWI和DCE-MRI扫描.
- 测量ADC值和DCE-MRI输液参数 (Ve,Kep,Ktrans,iAUC).
- 病理等级之间的参数比较和与等级的相关性分析.
- 用于诊断准确性的接收器操作特征 (ROC) 曲线分析.
主要成果
- 两个观察者之间测量的高一致性 (ICC > 0.9).
- 不同ACC病理级别的Ktrans,iAUC和ADC值存在显著差异 (P < .01,P < .05).
- Ktrans,Kep,Ve和iAUC与分级有正相关性;Ktrans显示出最强的相关性 (r = .578,P < .01).
- 与分级负相关的ADC值 (r = -470,P < .05).
- 在ROC分析中,Ktrans的曲线下面面积 (AUC) 是最高的 (0. 841),其次是iAUC (0. 790) 和ADC (0. 778).
结论
- 结合DCE-MRI和ADC参数提供了一个非侵入性的手术前ACC分级方法.
- 对于区分ACC等级,Ktrans,IAUC和ADC具有显著的诊断潜力.
- 这些成像生物标志物可以帮助更准确的瘤特征和个性化治疗计划.
- 需要在更大的前性研究中进行进一步验证.
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