Meta-analysis of computed tomography angiography versus magnetic resonance angiography for intracranial aneurysm

Chen, Xiaodan; Liu, Yun; Tong, Huazhang; Dong, Yonghai; Ma, Dongyang; Xu, Lei; Yang, Cheng‐Ta

doi:10.1097/md.0000000000010771

Cited by 32 publications

(16 citation statements)

References 24 publications

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“…is indicated that MRI diagnosis based on the LRMD algorithm had a higher detection rate of CA and had a higher clinical promotion value. Such results were consistent with the research conclusions of Chen et al [18], which suggested that the algorithm had a good denoising effect. e accuracy, sensitivity, and specificity of CT diagnosis were 92.71%, 84.94%, and 80.71%, respectively, while those of MRI diagnosis under the LRMD algorithm were 96.28%, 88.76%, and 90.62%, respectively.…”

Section: Discussionsupporting

confidence: 92%

Low-Rank Matrix Denoising Algorithm-Based Magnetic Resonance Imaging Combined with Computed Tomography Images in the Diagnosis of Cerebral Aneurysm

Zhang

Li-hua

Zhang

et al. 2021

Scientific Programming

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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.

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Section: Discussionsupporting

confidence: 92%

Low-Rank Matrix Denoising Algorithm-Based Magnetic Resonance Imaging Combined with Computed Tomography Images in the Diagnosis of Cerebral Aneurysm

Zhang

Li-hua

Zhang

et al. 2021

Scientific Programming

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“…MRA and CTA have been found to reliably and noninvasively diagnose most IAs. 15 In terms of spatial accuracy, however, Geers et al 28 revealed that significantly larger aneurysm necks and unsuccessful reconstructions of vessels smaller than 1 mm occurred more often when using CTA compared to 3D rotational angiography (3DRA), which is acquired with DSA. Though main flow characteristics could be reproduced independent of the imaging modality, the hemodynamic parameters showed relatively large quantitative differences.…”

Section: Presimulation Imaging Modalitiesmentioning

confidence: 99%

A review on the reliability of hemodynamic modeling in intracranial aneurysms: why computational fluid dynamics alone cannot solve the equation

Berg

Saalfeld²,

Voß

et al. 2019

Neurosurgical Focus

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Computational blood flow modeling in intracranial aneurysms (IAs) has enormous potential for the assessment of highly resolved hemodynamics and derived wall stresses. This results in an improved knowledge in important research fields, such as rupture risk assessment and treatment optimization. However, due to the requirement of assumptions and simplifications, its applicability in a clinical context remains limited.This review article focuses on the main aspects along the interdisciplinary modeling chain and highlights the circumstance that computational fluid dynamics (CFD) simulations are embedded in a multiprocess workflow. These aspects include imaging-related steps, the setup of realistic hemodynamic simulations, and the analysis of multidimensional computational results. To condense the broad knowledge, specific recommendations are provided at the end of each subsection.Overall, various individual substudies exist in the literature that have evaluated relevant technical aspects. In this regard, the importance of precise vessel segmentations for the simulation outcome is emphasized. Furthermore, the accuracy of the computational model strongly depends on the specific research question. Additionally, standardization in the context of flow analysis is required to enable an objective comparison of research findings and to avoid confusion within the medical community. Finally, uncertainty quantification and validation studies should always accompany numerical investigations.In conclusion, this review aims for an improved awareness among physicians regarding potential sources of error in hemodynamic modeling for IAs. Although CFD is a powerful methodology, it cannot provide reliable information, if pre- and postsimulation steps are inaccurately carried out. From this, future studies can be critically evaluated and real benefits can be differentiated from results that have been acquired based on technically inaccurate procedures.

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“…21 Analysis of the extent of enhancement and accurate diagnosis of ICAD has been greatly facilitated by the addition of vwMRI to angiographic modalities, especially in intracranial arteries with moderate-to-mild stenosis. 22,23 Although the eccentric enhancement observed on vwMRI has proven useful in the identification and assessment of ICAD, qualitative interpretation of enhancement varies significantly among reviewers. Our group advocates for quantitative measurement of postcontrast enhancement of target atherosclerotic lesions to improve inter-rater reliability of vwMRI findings.…”

Section: Intracranial Atherosclerotic Diseasementioning

confidence: 99%

Application of Vessel Wall Magnetic Resonance Imaging in Intracranial Cerebrovascular Pathology

Hamrick¹,

Havenon²,

Taussky³

et al. 2019

J Neurosonol Neuroimag

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Meta-analysis of computed tomography angiography versus magnetic resonance angiography for intracranial aneurysm

Cited by 32 publications

References 24 publications

Low-Rank Matrix Denoising Algorithm-Based Magnetic Resonance Imaging Combined with Computed Tomography Images in the Diagnosis of Cerebral Aneurysm

Low-Rank Matrix Denoising Algorithm-Based Magnetic Resonance Imaging Combined with Computed Tomography Images in the Diagnosis of Cerebral Aneurysm

A review on the reliability of hemodynamic modeling in intracranial aneurysms: why computational fluid dynamics alone cannot solve the equation

Application of Vessel Wall Magnetic Resonance Imaging in Intracranial Cerebrovascular Pathology

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