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一个定量多参数MRI分析平台,用于评估临床瘤学中强大的成像生物标志物

Eve LoCastro¹, Ramesh Paudyal¹, Amaresha Shridhar Konar¹

¹Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.

Tomography (Ann Arbor, Mich.)

|November 21, 2023

概括

一个新的MATLAB工具包,MRI-QAMPER,为瘤学提供了多参数MRI的用户友好的定量生物标志物. 它在癌症检测和治疗监测的临床试验中表现出高的重复性和准确性.

科学领域:

医疗成像医学成像
量化MRI是指数量化的MRI.
在瘤学瘤学.

背景情况:

来自多参数MRI (mpMRI) 的定量生物标志物对于监测癌症治疗反应至关重要.
现有的工具往往缺乏用户友好性和供应商不可知的能力.

研究的目的:

开发一个用户友好的,无关供应商的软件工具包,用于从mpMRI估计定量生物标志物.
验证工具包在各种癌症类型和临床情景中的性能.

主要方法:

开发MRI-定量分析和多参数评估程序 (MRI-QAMPER) 工具包 (基于MATLAB).
从动态对比增强 (DCE) 和扩散权重 (DW) 的MRI和MR放松计来估计定量指标.
使用数字参考对象 (DRO) 进行验证,并参与NCI/QIN协作挑战项目 (CCP).

主要成果:

在脑转移的DCE-MRI CCP中,MRI-QAMPER显示出最佳的重复系数 (RC=0.56).
它在DW-MRI CCP (AUC) 中排名前五的前列腺癌检测工具之一.
该工具包支持来自多个癌症部位的mpMRI数据,并获得NCI/QIN对临床试验的批准.

结论:

MRI-QAMPER是一个强大的,用户友好的平台,用于从mpMRI进行定量生物标志物估计.
其经验证的性能支持其在临床试验中用于癌症治疗监测和检测.
该工具包通过NCI/QIN批准促进了瘤学的先进应用.

关键词:

癌症癌症癌症癌症癌症扩散权重的核磁共振成像动态对比增强MRI的动态对比增强多个参数的MRI.瘤学在瘤学方面.最佳模型映射最佳模型映射定量成像生物标志物生物标志物

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