Anti-motion Ultrafast T Mapping Technique for Quantitative Detection of the Normal-Appearing Corticospinal Tract Changes in Subacute-Chronic Stroke Patients with Distal Lesions.

Dec 25, 2023

Experts: Yue Zhang,Xiao Wang,Ming Ye,Zongye Li,Yuchuan Zhuang,Qinqin Yang,Qichang Fu,Rui Chen,Eryuan Gao,Yanan Ren,Yong Zhang,Shuhui Cai,Zhong Chen,Congbo Cai,Yanbo Dong,Jianfeng Bao,Jingliang Cheng

Stroke patients commonly face challenges during magnetic resonance imaging (MRI) examinations due to involuntary movements. This study aims to overcome these challenges by utilizing multiple overlapping-echo detachment (MOLED) quantitative technology. Through this technology, we also seek to detect microstructural changes of the normal-appearing corticospinal tract (NA-CST) in subacute-chronic stroke patients.
79 patients underwent 3.0 T MRI scans, including routine scans and MOLED technique. A deep learning network was utilized for image reconstruction, and the accuracy, reliability, and resistance to motion of the MOLED technique were validated on phantoms and volunteers. Subsequently, we assessed motor dysfunction severity, ischemic lesion volume, T values of the bilateral NA-CST, and the T ratio (rT) between the ipsilesional and contralesional NA-CST in patients.
The MOLED technique showed high accuracy (P < 0.001) and excellent repeatability, with a mean coefficient of variation (CoV) of 1.11%. It provided reliable quantitative results even under head movement, with a mean difference (Mean)= 0.28% and a standard deviation difference (SD)= 1.34%. Additionally, the T value of the ipsilesional NA-CST was significantly higher than contralesional side (P < 0.001), and a positive correlation was observed between rT and the severity of motor dysfunction (r =0.575, P < 0.001). Furthermore, rT successfully predicted post-stroke motor impairment, with an area under the curve (AUC) was 0.883.
The MOLED technique offers significant advantages for quantitatively imaging stroke patients with involuntary movements. Additionally, T mapping from MOLED can detect microstructural changes in the NA-CST, potentially aiding in monitoring stroke-induced motor impairment.

Copyright © 2023 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

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ABOUT THE EXPERTS

Yue Zhang,Xiao Wang,Ming Ye,Zongye Li,Yuchuan Zhuang,Qinqin Yang,Qichang Fu,Rui Chen,Eryuan Gao,Yanan Ren,Yong Zhang,Shuhui Cai,Zhong Chen,Congbo Cai,Yanbo Dong,Jianfeng Bao,Jingliang Cheng

Yue Zhang

Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, China (Y.Z., X.W., Z.L., Q.F., R.C., E.G., Y.R., Y.Z., J.B., J.C.).

Xiao Wang

Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, China (Y.Z., X.W., Z.L., Q.F., R.C., E.G., Y.R., Y.Z., J.B., J.C.).

Ming Ye

Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Research, Xiamen University, Xiamen, 361000, China (M.Y., Q.Y., S.C., Z.C., C.C.).

Zongye Li

Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, China (Y.Z., X.W., Z.L., Q.F., R.C., E.G., Y.R., Y.Z., J.B., J.C.).

Yuchuan Zhuang

Department of Imaging Sciences, University of Rochester Medical Center, Rochester, 14627, USA (Y.Z.).

Qinqin Yang

Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Research, Xiamen University, Xiamen, 361000, China (M.Y., Q.Y., S.C., Z.C., C.C.).

Qichang Fu

Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, China (Y.Z., X.W., Z.L., Q.F., R.C., E.G., Y.R., Y.Z., J.B., J.C.).

Rui Chen

Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, China (Y.Z., X.W., Z.L., Q.F., R.C., E.G., Y.R., Y.Z., J.B., J.C.).

Eryuan Gao

Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, China (Y.Z., X.W., Z.L., Q.F., R.C., E.G., Y.R., Y.Z., J.B., J.C.).

Yanan Ren

Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, China (Y.Z., X.W., Z.L., Q.F., R.C., E.G., Y.R., Y.Z., J.B., J.C.).

Yong Zhang

Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, China (Y.Z., X.W., Z.L., Q.F., R.C., E.G., Y.R., Y.Z., J.B., J.C.).

Shuhui Cai

Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Research, Xiamen University, Xiamen, 361000, China (M.Y., Q.Y., S.C., Z.C., C.C.).

Zhong Chen

Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Research, Xiamen University, Xiamen, 361000, China (M.Y., Q.Y., S.C., Z.C., C.C.).

Congbo Cai

Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Research, Xiamen University, Xiamen, 361000, China (M.Y., Q.Y., S.C., Z.C., C.C.).

Yanbo Dong

Institute of Psychology, The Herzen State Pedagogical University of Russia, Saint Petersburg, 190121, Russia (Y.D.).

Jianfeng Bao

Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, China (Y.Z., X.W., Z.L., Q.F., R.C., E.G., Y.R., Y.Z., J.B., J.C.).

Jingliang Cheng

Department of Magnetic Resonance Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000, China (Y.Z., X.W., Z.L., Q.F., R.C., E.G., Y.R., Y.Z., J.B., J.C.). Electronic address: fccchengjl@zzu.edu.cn.