Efficacy of neurointervention combined with intravenous thrombolysis in the treatment of ischemic cerebrovascular disease and its influence on neurological function and prognosis of patients

Li, Shixing; Lou, Xuelei; Chang, Zukuan; Chaoheng, Shi; Lu, Huilin; Han, Jun

doi:10.3892/etm.2020.9404

Cited by 2 publications

(2 citation statements)

References 22 publications

(17 reference statements)

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“…This study compared the short-term therapeutic efficacy, cerebral hemodynamics, VEF, and OS indexes of ICVD patients treated with conventional IVT and those with DSA-guided neurointerventional thrombolysis. The results showed a significantly higher ORR in patients receiving DSA combined with neurointerventional thrombolysis compared those with conventional IVT alone, similar to the research of Li et al [33]. Besides, we found decreased NIHSS scores in both cohorts after treatment, especially in OG.…”

Section: Discussionsupporting

confidence: 90%

Clinical Effect of Digital Subtraction Angiography Combined with Neurointerventional Thrombolysis for Acute Ischemic Cerebrovascular Disease and Its Influence on Vascular Endothelial Function and Oxidative Stress

Wang

Guan

Wang

2022

Oxidative Medicine and Cellular Longevity

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Objective. Ischemic cerebrovascular disease is a commonly seen vascular disorder in clinical practice. Given the difficulty of drug therapy to achieve ideal curative effects, interventional therapy has gradually become the preferred treatment for the disease. This research primarily discusses the short-term efficacy of digital subtraction angiography- (DSA-) guided neurointerventional thrombolysis for acute ischemic cerebrovascular disease (AICVD) and its influence on vascular endothelial function (VEF) and oxidative stress (OS). Methods. All the clinical data of 162 patients diagnosed with AICVD and treated between June 2019 and December 2021 were collected and analyzed retrospectively. They were assigned to two cohorts according to the difference in interventional methods: a conventional group (CG) given recombinant tissue plasminogen activator (rt-PA) therapy and an observation group (OG) intervened by DSA-guided neurointerventional thrombolysis. The two groups were compared with respect to short-term treatment efficacy, the National Institutes of Health Stroke Scale (NIHSS) score, cerebral hemodynamics, and VEF and OS indexes. Results. The short-term efficacy was better in OG (93.98%) than in CG (82.28%). After treatment, the NIHSS score decreased in both cohorts with obvious differences within the group at different time points, and the posttreatment NIHSS score was lower in OG as compared to CG. OG had higher Q m and V m while lower W v , Z cv , and R v than CG. Higher endothelial-dependent flow-mediated dilatation (FMD) was observed in OG, as well as lower ankle-brachial index (ABI) and pulse wave velocity (PWV). And the posttreatment MDA was lower while SOD, GSH-Px, and TAC were higher in OG compared with those on CG. All the above differences were of statistical significance ( P < 0.05 ). Conclusions. DSA-guided neurointerventional thrombolysis is highly effective in the treatment of AICVD, which can not only effectively improve patients’ neurological function and cerebral hemodynamics but also mitigate VEF injury and help to alleviate patients’ OS.

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Section: Discussionsupporting

confidence: 90%

Clinical Effect of Digital Subtraction Angiography Combined with Neurointerventional Thrombolysis for Acute Ischemic Cerebrovascular Disease and Its Influence on Vascular Endothelial Function and Oxidative Stress

Wang

Guan

Wang

2022

Oxidative Medicine and Cellular Longevity

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“…These results indicated that VCI can damage multiple sets of cognitive-related fibers and affect fiber conduction function. Li et al [ 19 ] also illustrated this point in the study on the influence of cerebrovascular diseases on neurological function. Therefore, as the severity of the disease progresses in VCI patients, the white matter fibrosis becomes more severe and the level of neurological function decreases.…”

Section: Discussionmentioning

confidence: 90%

Magnetic Resonance Image Feature Analysis under Deep Learning in Diagnosis of Neurological Rehabilitation in Patients with Cerebrovascular Diseases

Li¹,

Ji²,

Chang³

et al. 2021

Contrast Media & Molecular Imaging

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To explore the impact of magnetic resonance imaging (MRI) image features based on deep learning algorithms on the neurological rehabilitation of patients with cerebrovascular diseases, eighty patients with acute cerebrovascular disease were selected as the research objects. According to whether the patients were with vascular cognitive impairment (VCI), they were divided into VCI group (34 cases) and non-VCI group (46 cases). In addition, based on the convolutional neural network (CNN), a new multimodal CNN image segmentation algorithm was proposed. The algorithm was applied to the segmentation of MRI images of patients with vascular cognitive impairment (VCI) and compared with the segmentation results of CNN and fully CNN (FCN). As a result, the segmentation results of the three different algorithms showed that the Dice coefficient, accuracy, and recall of the multimodal CNN algorithm were 0.78 ± 0.24, 0.81 ± 0.28, and 0.88 ± 0.32, respectively, which were significantly increased compared to those of other two algorithms ( P < 0.05). The neurological evaluation results showed that the MMSE and MoCA scores of VCI patients were 15.4 and 14.6 ± 5.31, respectively, which were significantly lower than those of the non-VCI group ( P < 0.05). The TMT-a and TMT-b scores of VCI patients were 221.7 and 385.9, respectively, which were significantly higher than those of the non-VCI group ( P < 0.05). The FA and MD values of nerve function-related fibers shown in the MRI images of the VCI group were significantly different from those of the non-VCI group ( P < 0.05). Therefore, the neurological recovery process of VCI patients was affected by multiple neurocognitive-related fiber structures. To sum up, the multimodal CNN algorithm can sensitively and accurately reflect the degree of neurological impairment in patients with cerebrovascular disease and can be applied to disease diagnosis and neurological evaluation of VCI patients.

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Efficacy of neurointervention combined with intravenous thrombolysis in the treatment of ischemic cerebrovascular disease and its influence on neurological function and prognosis of patients

Cited by 2 publications

References 22 publications

Clinical Effect of Digital Subtraction Angiography Combined with Neurointerventional Thrombolysis for Acute Ischemic Cerebrovascular Disease and Its Influence on Vascular Endothelial Function and Oxidative Stress

Clinical Effect of Digital Subtraction Angiography Combined with Neurointerventional Thrombolysis for Acute Ischemic Cerebrovascular Disease and Its Influence on Vascular Endothelial Function and Oxidative Stress

Magnetic Resonance Image Feature Analysis under Deep Learning in Diagnosis of Neurological Rehabilitation in Patients with Cerebrovascular Diseases

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