Suppr超能文献

从乳腺癌定量缩写 DCE-MRI 数据分析中分析药代动力学参数中的误差特征。

Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer.

机构信息

Department of Physics, The University of Texas at Austin, Austin, TX 78712, USA.

Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712, USA.

出版信息

Tomography. 2021 Jun 23;7(3):253-267. doi: 10.3390/tomography7030023.

Abstract

This study characterizes the error that results when performing quantitative analysis of abbreviated dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data of the breast with the Standard Kety-Tofts (SKT) model and its Patlak variant. More specifically, we used simulations and patient data to determine the accuracy with which abbreviated time course data could reproduce the pharmacokinetic parameters, (volume transfer constant) and (extravascular/extracellular volume fraction), when compared to the full time course data. SKT analysis of simulated abbreviated time courses (ATCs) based on the imaging parameters from two available datasets (collected with a 3T MRI scanner) at a temporal resolution of 15 s (N = 15) and 7.23 s (N = 15) found a concordance correlation coefficient (CCC) greater than 0.80 for ATCs of length 3.0 and 2.5 min, respectively, for the parameter. Analysis of the experimental data found that at least 90% of patients met this CCC cut-off of 0.80 for the ATCs of the aforementioned lengths. Patlak analysis of experimental data found that 80% of patients from the 15 s resolution dataset and 90% of patients from the 7.27 s resolution dataset met the 0.80 CCC cut-off for ATC lengths of 1.25 and 1.09 min, respectively. This study provides evidence for both the feasibility and potential utility of performing a quantitative analysis of abbreviated breast DCE-MRI in conjunction with acquisition of current standard-of-care high resolution scans without significant loss of information in the community setting.

摘要

本研究对使用标准 Kety-Tofts (SKT) 模型及其 Patlak 变体对缩短的动态对比增强磁共振成像 (DCE-MRI) 乳腺数据进行定量分析时产生的误差进行了特征描述。更具体地说,我们使用模拟和患者数据来确定缩短的时间过程数据在与完整时间过程数据相比时,能够重现药代动力学参数,(体积转移常数)和(血管外/细胞外体积分数)的准确性。基于两个可用数据集(在 3T MRI 扫描仪上采集)的成像参数,对模拟缩短时间过程 (ATC) 进行 SKT 分析,时间分辨率为 15 s(N = 15)和 7.23 s(N = 15),分别发现参数的 ATC 长度为 3.0 和 2.5 分钟时的一致性相关系数 (CCC) 大于 0.80。对实验数据的分析发现,至少 90%的患者在上述长度的 ATC 中满足 CCC 截止值 0.80。对实验数据的 Patlak 分析发现,15 s 分辨率数据集的 80%患者和 7.27 s 分辨率数据集的 90%患者分别满足 ATC 长度为 1.25 和 1.09 分钟时的 0.80 CCC 截止值。本研究为在社区环境中结合当前标准护理高分辨率扫描进行缩短的乳腺 DCE-MRI 定量分析提供了证据,证明了这种方法不仅可行,而且具有潜在的实用性,而不会导致信息大量丢失。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a751/8293327/aedf9cb1fa8b/tomography-07-00023-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验