Wang Nan, Gaddam Srinivas, Wang Lixia, Xie Yibin, Fan Zhaoyang, Yang Wensha, Tuli Richard, Lo Simon, Hendifar Andrew, Pandol Stephen, Christodoulou Anthony G, Li Debiao
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California.
Department of Bioengineering, University of California, Los Angeles, California.
Magn Reson Med. 2020 Aug;84(2):928-948. doi: 10.1002/mrm.28167. Epub 2020 Jan 21.
To develop a quantitative DCE MRI technique enabling entire-abdomen coverage, free-breathing acquisition, 1-second temporal resolution, and T -based quantification of contrast agent concentration and kinetic modeling for the characterization of pancreatic ductal adenocarcinoma (PDAC).
Segmented FLASH readouts following saturation-recovery preparation with randomized 3D Cartesian undersampling was used for incoherent data acquisition. MR Multitasking was used to reconstruct 6-dimensional images with 3 spatial dimensions, 1 T recovery dimension for dynamic T quantification, 1 respiratory dimension to resolve respiratory motion, and 1 DCE time dimension to capture the contrast kinetics. Sixteen healthy subjects and 14 patients with pathologically confirmed PDAC were recruited for the in vivo studies, and kinetic parameters v , K , v , and K were evaluated for each subject. Intersession repeatability of Multitasking DCE was assessed in 8 repeat healthy subjects. One-way unbalanced analysis of variance was performed between control and patient groups.
In vivo studies demonstrated that v , K , and K of PDAC were significantly lower compared with nontumoral regions in the patient group (P = .002, .003, .004, respectively) and normal pancreas in the control group (P = .011, <.001, <.001, respectively), while v was significantly higher than nontumoral regions (P < .001) and healthy pancreas (P < .001). The kinetic parameters showed good in vivo repeatability (interclass correlation coefficient: v , 0.95; K , 0.98; v , 0.96; K , 0.99).
The proposed Multitasking DCE is promising for the quantification of vascular properties of PDAC. Quantitative DCE parameters were repeatable in vivo and showed significant differences between normal pancreas and both tumor and nontumoral regions in patients with PDAC.
开发一种定量动态对比增强磁共振成像（DCE MRI）技术，以实现全腹部覆盖、自由呼吸采集、1秒时间分辨率以及基于T的造影剂浓度定量和动力学建模，用于胰腺导管腺癌（PDAC）的特征描述。
采用饱和恢复准备后随机三维笛卡尔欠采样的分段快速小角度激发（FLASH）读出进行非相干数据采集。使用磁共振多任务处理来重建六维图像，包括3个空间维度、1个用于动态T定量的T恢复维度、1个用于解决呼吸运动的呼吸维度以及1个用于捕捉对比剂动力学的DCE时间维度。招募了16名健康受试者和14名经病理证实的PDAC患者进行体内研究，并对每个受试者评估动力学参数v、K、v和K。在8名重复测试的健康受试者中评估了多任务DCE的组内重复性。在对照组和患者组之间进行单向非平衡方差分析。
体内研究表明，患者组中PDAC的v、K和K显著低于非肿瘤区域（分别为P = 0.002、0.003、0.004）和对照组中的正常胰腺（分别为P = 0.011、<0.001、<0.001），而v显著高于非肿瘤区域（P < 0.001）和健康胰腺（P < 0.001）。动力学参数在体内显示出良好的重复性（组内相关系数：v为0.95；K为0.98；v为0.96；K为0.99）。
所提出的多任务DCE在PDAC血管特性定量方面具有前景。定量DCE参数在体内具有可重复性，并且在PDAC患者的正常胰腺与肿瘤及非肿瘤区域之间显示出显著差异。
