Share：
Share this content in WeChat
X
[Chinese][PDF]5254
• Clinical Articles •
Application value of DTI in short-term prognosis of patients with branch athero-matous disease
JING Yanping  GUO Zhen'an  SUN Liuyan  WU Lianqiang  WANG Xi  JING Yiwen  CHEN Liwei  WU Xiaofeng  XUE Huiyuan 

Cite this article as: JING Y P, GUO Z A, SUN L Y, et al. Application value of DTI in short-term prognosis of patients with branch athero-matous disease[J]. Chin J Magn Reson Imaging, 2023, 14(7): 32-36, 72. DOI:10.12015/issn.1674-8034.2023.07.006.


[Abstract] Objective To investigate the value of diffusion tensor imaging (DTI) technology in evaluating the integrity and damage degree of perforator atherosclerotic cerebral infarction branch athero-matous disease (BAD) and corticospinal tract (CST), and to help predict clinical prognosis.Materials and Methods A total of 31 cases of patients with BAD from July 2020 to September 2022 were analyzed. According to the National Institutes of Health Stroke Scale (NIHSS) score and Manual Muscle Test (MMT) score, the patients were divided into prediction groups (recovery group, partial recovery group and paralysis group). At the same time, the fractional anisotropy (FA) of the key region of interest (ROI) and the relative position (adjacent, partially through, through) of CST and BAD infarction site were obtained by DTI, patients were predicted as recovery (relative adjacent), partial recovery (relative partial crossing) and paralysis (relative through); NIHSS score and MMT score were performed at 1, 2, and 4 weeks after treatment, and the evaluation results were taken as the actual values. Pearson correlation analysis and partial correlation analysis were performed to explore the correlation between FA value, CST extent of damage and NIHSS and MMT score, and multivariate linear stepwise regression analysis was used to verify the linear quantitative relationship.Results The FA and apparent diffusion coefficient (ADC) images of 31 patients showed good structure and clear structure. The FA value of the infarct and the corresponding normal brain tissue on the mirror side decreased, and the ADC value decreased, t values were 2.836 and 2.107, and P values were 0.015 and 0.010, respectively, and the differences were significant (P＜0.05). The reconstruction of the corticospinal tract was good, and the visualization rate of the left and right corticospinal tracts was 100%. After fiber bundle reconstruction, 10 patients showed CST adjacent to the infarct but did not cross the infarct. These patients had a good prognosis, and their muscle strength recovered quickly and the recovery degree was obvious. In 11 patients, CST partially passed through the infarct. The prognosis of these patients was slightly worse, and the recovery of muscle strength was slightly worse. All the 10 patients had CST through the infarct. The prognosis of these patients was poor, the course of disease was long, and the muscle strength decreased significantly. Correlation analysis showed that NIHSS score, MMT predicted score and actual score after treatment were positively correlated with FA value of the affected side (all P＜0.05). Multiple linear stepwise regression was performed. The relative position of the affected side CST and the BAD infarct site (adjacent, partially through, and through) had a linear regression relationship with the score of the recovery group, partial recovery group, and paralysis group.Conclusions DTI technology can effectively evaluate the integrity of BAD and CST, and the evaluation results are highly positively correlated with clinical prediction and actual prognosis, which can provide a basis for clinical treatment and prognosis assessment.
[Keywords] branch athero-matous disease；diffusion tensor imaging；magnetic resonance imaging；corticospinal tract；National Institutes of Health Stroke Scale

JING Yanping1*   GUO Zhen'an1   SUN Liuyan1   WU Lianqiang1   WANG Xi1   JING Yiwen1   CHEN Liwei2   WU Xiaofeng2   XUE Huiyuan2  

1 Image Center, Yellow River Sanmenxia Hospital Affiliated to Henan University of Science and Technology, Sanmenxia 472000, China

2 Department of Neurology, Yellow River Sanmenxia Hospital Affiliated to Henan University of Science and Technology, Sanmenxia 472000, China

Corresponding author: Jing YP, E-mail: jingyanping5858@126.com

Conflicts of interest   None.

ACKNOWLEDGMENTS Medical and Health Industry Fund Project of Power China Construction Group (No. 2022036).
Received  2022-10-28
Accepted  2023-06-25
DOI: 10.12015/issn.1674-8034.2023.07.006
Cite this article as: JING Y P, GUO Z A, SUN L Y, et al. Application value of DTI in short-term prognosis of patients with branch athero-matous disease[J]. Chin J Magn Reson Imaging, 2023, 14(7): 32-36, 72. DOI:10.12015/issn.1674-8034.2023.07.006.

[1]
SUI L, DONG Z, PENG J, et al. An efficient iterative cerebral perfusion CT reconstruction via low-rank tensor decomposition with spatial-temporal total variation regularization[J]. IEEE Trans Med Imaging, 2019, 38(2): 360-370. DOI: 10.1109/TMI.2018.2865198.
[2]
DAI Z Y, CHEN F, YAO L Z, et al. The combined application of magnetic resonance DTI and 3D-pcASL in differential diagnosis of hyper-acute and acute ischemic cerebral infarction[J]. Natl Med J China, 2018, 98(17): 1327-1332. DOI: 10.3760/cma.j.issn.0376-2491.
[3]
ZHANG J. Clinical application of diffusion tensor imaging in the diagnosis of acute ischemic cerebral infarction[J]. Journal of Imaging Research and Medical Applications, 2020, 4(22): 85-86. DOI: 10.3969/j.issn.2096-3807.2020.22.038.
[4]
RUTMAN A M, PETERSON D J, COHEN W A, et al. Diffusion Tensor Imaging of the Spinal Cord: Clinical Value, Investigational Applications, and Technical Limitations[J]. Curr Probl Diagn Radiol, 2018, 47(4): 257-269. DOI: 10.1067/j.cpradiol.2017.07.005.
[5]
ROGALSKA M, ANTKOWIAK L, MANDERA M. Clinical application of diffusion tensor imaging and fiber tractography in the management of brainstem cavernous malformations: a systematic review[J]. Neurosurg Rev, 2022, 45(3): 2027-2040. DOI: 10.1007/s10143-022-01759-7.
[6]
Neurology Branch of Chinese Medical Association, Cerebrovascular Disease Group of Neurology Branch of Chinese Medical Association. Chinese guidelines for the diagnosis and treatment of acute Ischemic Stroke 2018[J]. Chin J Neurol, 2018, 51(9): 666-682. DOI: 10.3760/cma.j.issn.1006-7876.2018.09.004.
[7]
YU B, DING Z, WANG L Y, et al. Application of diffusion tensor imaging based on automatic fiber quantification in Alzheimer's disease[J]. Curr Alzheimer Res, 2022, 18(7): 32-39. DOI: 10.2174/1567205019666220718142130.
[8]
POWER M C, SU D, WU A, et al. Association of white matter microstructural integrity with cognition and dementia[J]. Neurobiol Aging, 2019, 83(7): 63-72. DOI: 10.11909/j.issn.1671-5411.2019.03.006.
[9]
ZHENG W, CHEN H, WANG N, et al. Application of Diffusion Tensor Imaging Cutoff Value to Evaluate the Severity and Postoperative Neurologic Recovery of Cervical Spondylotic Myelopathy[J/OL]. World Neurosurg, 2018, 118(10): e849-e855 [2022-10-27]. https://pubmed.ncbi.nlm.nih.gov/30026160/. DOI: 10.1016/j.wneu.2018.07.067.
[10]
GU N, XIE C M. Research progress of diffusion tensor imaging in acute ischemic stroke[J]. Journal of Clinical Neurology, 2021, 34(4): 314-317. DOI: 10.3969/j.issn.1004-1648.2021.04.021.
[11]
AURIEL E, EDLOW B L, REIJMER Y D, et al. Microinfarct disruption of white matter structure: a longitudinal diffusion tensor analysis[J]. Neurology, 2014, 83(2): 182-188. DOI: 10.1212/WNL.0000000000000579.
[12]
LIANG Z P, YAO L Z, DAI Z Y, et al. Differential diagnosis by diffusion tensor magnetic resonance imaging Hyperacute and acute ischemic cerebral infarction[J]. Chin J Med Imaging Technol, 2016, 32(2): 195-199. DOI: 10.13929/j.1003-3289.2016.02.009.
[13]
SHENTON M E, PRICE B H, LEVIN L, et al. Mild traumatic brain injury: Is DTI ready for the courtroom?[J]. Int J Law Psychiatry, 2018, 61(12): 50-63. DOI: 10.1016/j.ijlp.2018.09.002.
[14]
NANDA G, JAIN P, SUMAN A, et al. Role of diffusion tensor imaging and tractography in spinal cord injury[J]. Journal of Clinical Orthopaedics and Trauma, 2022, 33(4): 1156-1162. DOI: 10.1016/J.JCOT.2022.101997.
[15]
SONI N, SRINDHARAN K, KUMAR S, et al. Application of diffusion tensor imaging in brain lesions: A comparative study of neoplastic and non-neoplastic brain lesions[J]. Neurol India, 2018, 66(6): 1667-1671. DOI: 10.4103/0028-3886.246270.
[16]
ZHANG L H, MI L X, GUO L J, et al. Correlation between fractional anisotropy of corticospinal tract and motor function in patients with stroke using diffusion tensor imaging[J]. Chinese Journal of Rehabilitation Theory and Practice, 2017, 23(7): 802-806. DOI: 10.3969/j.issn.1006-9771.2017.07.014.
[17]
NAEL K, TROUARD T P, LAFLEUR S R, et al. White matter ischemic changes in hyperacute ischemic stroke: voxel-based analysis using diffusion tensor imaging and MR perfusion[J]. Stroke, 2015, 46(3): 413-418. DOI: 10.1161/STROKEAHA.114.007000.
[18]
LING Q, XIN X Y, TANG H D. The relationship between cognitive dysfunction and white matter fiber tract integrity after subcortical infarction by diffusion tensor imaging[J]. Chinese Journal of Contemporary Neurological Diseases, 2021, 21(5): 406-410. DOI: 10.3969/j.issn.1672-6731.2021.05.013.
[19]
CHEN H F, HUANG L L, LI H Y, et al. Microstructural disruption of the right inferior fronto-occipital and inferior longitudinal fasciculus contributes to WMH - related cognitive impairment[J]. CNS Neurosci Ther, 2020, 26(2): 576-588. DOI: 10.1111/cns.13283.
[20]
HUANG E S, LIANG Y Q, LI R X, et al. Application of diffusion tensor imaging in the evaluation of early cerebral infarction and the correlation of muscle strength function after treatment[J]. Journal of Applied Medical Imaging, 2021, 22(1): 8-11. DOI: 10.16106/j.cnki.cn14-1281/r.2021.01.003.
[21]
JIN Z, LI Z. Clinical Application of Diffusion Tensor Imaging in Diagnosis and Prognosis of Hemifacial Spasm[J]. World Neurosurg, 2021, 145(1): 14-20. DOI: 10.1016/j.wneu.2020.08.049.
[22]
ANTKOWIAK L, ROGALSKA M, STOGOWSKI P, et al. Clinical Application of Diffusion Tensor Imaging in Chiari Malformation Type Ⅰ- Advances and Perspectives. A Systematic Review[J]. World Neurosurg, 2021, 152(8): 124-136. DOI: 10.1016/j.wneu.2021.06.052.
[23]
MA J, YANG X, XU F, et al. Application of Diffusion Tensor Imaging (DTI) in the Diagnosis of HIV-Associated Neurocognitive Disorder (HAND): A Meta-Analysis and a System Review[J]. Front Neurol, 2022, 13(7): 8-19. DOI: 10.3389/fneur.2022.898191.
[24]
GOLUB M, NETO HENRIQUES R, GOUVEIA NUNES R. Free-water DTI estimates from single b-value data might seem plausible but must be interpreted with care[J]. Magn Reson Med, 2021, 85(5): 2537-2551. DOI: 10.1002/mrm.28599.
[25]
CHEN F, ZHOU S Y. MRI examination of DTI sequence in the diagnosis and prognosis evaluation of acute cerebral infarction value research[J]. Chin J CT & MRI, 2020, 18(12): 15-17. DOI: 10.3969/j.issn.1672-5131.2020.12.006.
[26]
ZHANG H, FENG Y, CHENG L, et al. Application of diffusion tensor tractography in the surgical treatment of brain tumors located in functional areas[J]. Oncol Lett, 2020, 19(1): 615-622. DOI: 10.3892/0l.2019.11167.
[27]
JAYWANT A, TOGLIA J, GUNNING F M, et al. The diagnostic accuracy of the Montreal Cognitive Assessment in inpatient stroke rehabilitation[J]. Neuropsychol Rehabil, 2019, 29(6): 1163 -1176. DOI: 10.1080/09602011.2017.1372297.

PREV ASL in childhood brain tumors: A Meta-analysis
NEXT Prediction of recurrence of craniopharyngioma within 5 years after operation based on preoperative MR radiomics model
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn