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应用动态对比增强的MRI追踪器动态模型来区分良性和恶性软组织瘤

Aixin Gao¹, Hexiang Wang¹, Xiuyun Zhang²

¹Department of Radiology, The Affiliated Hospital of Qingdao University, 16 Jiangsu Road, Qingdao, Shandong, China.

Cancer imaging : the official publication of the International Cancer Imaging Society

|May 22, 2024

概括

量化动态对比增强的MRI追踪器动态模型可以区分良性和恶性软组织瘤. 综合图像特征和qDCE参数的综合模型显示出卓越的诊断性能.

科学领域:

放射学放射学是一门学科.
医疗成像医学成像
在瘤学瘤学.

背景情况:

软组织瘤 (STT) 需要准确地区分良性和恶性类型,以进行适当的临床治疗.
量化动态对比增强MRI (qDCE-MRI) 提供了非侵入性瘤表征的潜力.

研究的目的:

评估各种定量动态增强对比度MRI追踪器动力学 (TK) 模型和参数在区分良性和恶性软组织瘤方面的有效性.
为了比较不同TCK模型的诊断性能,并确定STT分类的最佳参数.

主要方法:

92名患有性传播疾病的患者接受了qDCE-MRI.
使用托夫特,扩展托夫特,ATH,常规隔间和分布式参数模型估计了标记器的动力参数 (例如,Ktrans,Kep,Ve,Vp).
一个综合的模型整合了形态特征,信号强度曲线形状和最佳qDCE参数,并使用AUC和精度进行了开发和评估.

主要成果:

一些qDCE参数,包括来自不同模型的Ktrans和Vp,显示出良好的诊断性能.
与其他TK模型相比,分布式参数 (DP) 模型的AUC和准确性更高.
综合模型实现了0.936的优异AUC,超过单个qDCE模型 (AUC0.899-0.915) 和传统成像 (AUC0.802).

结论:

各种TK模型可以有效地区分良性和恶性性传播感染.
综合形态成像和qDCE参数的综合模型为STT歧视提供了一个有希望的非侵入性方法.
这种综合模型的进一步开发具有在软组织瘤诊断中临床应用的巨大潜力.

关键词:

诊断诊断诊断诊断是一个动态对比增强MRI的动态对比增强.软组织瘤软组织瘤

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