Literature DB >> 28386368

Diffusional kurtosis imaging in evaluating the secondary change of corticospinal tract after unilateral cerebral infarction.

Shun Zhang1, Wenjie Zhu1, Yan Zhang1, Yihao Yao1, Jingjing Shi1, Cong-Yi Wang2, Wenzhen Zhu1.   

Abstract

We investigated to evaluate whether diffusional kurtosis imaging (DKI) can early detect the microstructure change of corticospinal tract (CST) after unilateral cerebral infarction solely in middle cerebral artery (MCA) territory. Seventy-seven patients with MCA territory infarct consisting of 10 subjects of hyperacute phase, 22 subjects of acute phase, 28 subjects of subacute phase and 17 subjects of chronic phase were enrolled in this study. ROI method was performed to measure the mean value of the infarcted area and the areas which belongs to CST [including the posterior limb of internal capsule (PLIC), cerebral peduncle (CP), pons, and medulla] in both ipsilateral and contralateral mirror side in all the DKI-derived parametric maps. Compared with the contralateral mirror side, MK, K║, K┴ in the infarcted area sharply increased to a peak in acute phase, and then gradually fell down. MD, D║ and D┴ decreased till acute phase and then started to increase gradually. FA decreased more and more seriously from hyperacute to chronic phase. K║ and D║ were more helpful to detect the subtle changes of CST after infarction as they both had significant changes in all phases. Moreover, there were more locations that had significant changes with time going on. To conclude, DKI, especially the variable K║ and D║, may serve as a new biomarker to observe the microstructure change of the descending CST, which may reflect the extent of Wallerian degeneration and be helpful for clinical decision making.

Entities:  

Keywords:  Diffusional kurtosis imaging; Wallerian degeneration; corticospinal tract; middle cerebral artery occlusion

Year:  2017        PMID: 28386368      PMCID: PMC5376033     

Source DB:  PubMed          Journal:  Am J Transl Res        ISSN: 1943-8141            Impact factor:   4.060


  20 in total

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