Abstract

This study was to analyze the diagnostic effects of computed tomography (CT) and magnetic resonance imaging (MRI) in patients with cerebrovascular diseases (CVDs) based on low-rank matrix denoising (LRMD) algorithm. The LRMD algorithm was adopted for MRI diagnosis and CT diagnosis for comparative analysis. 129 CVD patients were selected as the research objects, 43 cases were diagnosed by CT, 43 cases were diagnosed by MRI under LRMD, and the other 43 cases were diagnosed by CT + MRI. The results showed that the diagnostic compliance rates (DCRs) of CT group in the cerebral hemorrhage (CH), cerebral infarction (CI), and cerebral aneurysm (CA) were 95.1%, 94.7%, and 70%, respectively, while those in the MRI group were 99.01%, 97.71%, and 100%, respectively. Thus, it was obtained that MRI diagnosis was much better than CT diagnosis, and CT + MRI showed the best diagnosis efficacy, showing statistical differences ( P < 0.05 ). The accuracy, sensitivity, and specificity of MRI diagnosis under the LRMD algorithm were 96.28%, 88.76%, and 90.62%, respectively, which were superior to those of CT diagnosis (92.71%, 84.94%, and 80.71%, respectively). The diagnosis cost per case (DC/C) (799.73 ± 100.02 yuan) and the total diagnosis cost (TDC) (58,521.67 ± 301.62 yuan) in the MRI group were higher than those in the CT group (601.42 ± 83.61 yuan and 39,819.2 ± 198.72, respectively) ( P < 0.05 ). In conclusion, CT + MRI under the LRMD algorithm showed good potential in diagnosis of CVD; MRI based on the LRMD algorithm showed a higher positive rate in the diagnosis of CA and was better than CT diagnosis, and CT + MRI showed the best diagnosis effect and could improve the clinical diagnosis rate.

Highlights

  • Cerebrovascular disease (CVD) is a brain disease with extremely high disability and fatality rate, and cerebral aneurysm (CA) is the main cause. e main clinical manifestations are cystic protrusions on the walls of cerebral blood vessels [1]

  • Selection and Grouping of Research Objects. 129 pathologically confirmed CVD patients who came to hospital from December 2018 to December 2020 were selected as the research objects, including 95 males and 34 females, aged 10∼65 years. ey were rolled into a computed tomography (CT) group, a magnetic resonance imaging (MRI) group, and a CT + MRI group according to different diagnostic methods, with 43 cases in each group. e experiment had been approved by the Medical Ethics Committee of hospital, and the patients and their families had understood and signed the informed consent forms

  • MRI Diagnosis. 43 patients were diagnosed using the 1.5 T superconducting MRI scanner produced by German Siemens. e patient was required to lie to scan the head back and forth, and the transverse T1-weighted image (T1WI), T2-weighted image (T2WI), diffusion weighted imaging (DWI), and fluid attenuated inversion recovery (FLAIR) were scanned comprehensively. e specific parameters were as follows: layer thickness was 1.0 mm, layer spacing was 0.5 mm, echo time was 6.6 ms, repetition time was set to 25 ms, scanning sequence was 3D-TOF-MRA, scanning field was 360 mm × 360 mm, and matrix was set to 256 × 196

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Summary

Introduction

Cerebrovascular disease (CVD) is a brain disease with extremely high disability and fatality rate, and cerebral aneurysm (CA) is the main cause. e main clinical manifestations are cystic protrusions on the walls of cerebral blood vessels [1]. Cerebrovascular disease (CVD) is a brain disease with extremely high disability and fatality rate, and cerebral aneurysm (CA) is the main cause. Intracranial aneurysm rupture and bleeding are the main causes of death and disability. E main symptoms are mostly caused by bleeding, and some are caused by tumor compression, arterial spasm, or embolism [3,4,5]. It is generally believed that the risk of CA is mainly related to the destruction of the arterial wall. Hypertension, arteriosclerosis, age, smoking, and other factors can cause the rupture of the cerebral artery wall, but the cause of CA is still being studied [6]. E influence of vascular hemodynamic force causes the vascular wall to bulge, which leads to the formation, development, and rupture of CA [9, 10]. Timely detection and diagnosis of CA are essential

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