Multiparametric flow analysis using four-dimensional flow magnetic resonance imaging can detect cerebral hemodynamic impairment in patients with internal carotid artery stenosis

Ando, Takahiro; Sekine, Tetsuro; Murai, Yasuo; Orita, Erika; Takagi, Ryo; Amano, Yasuo; Iwata, Kotomi; Nakaza, Masatoki; Ogawa, Masashi; Obara, Makoto; Kumita, Shin‐ichiro

doi:10.1007/s00234-020-02464-2

Cited by 11 publications

(16 citation statements)

References 40 publications

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“…The PC-MR imaging technique has been widely used in quantitatively analyzing vascular diseases and evaluating hemodynamic status. 17,18 The hemodynamic characteristics of intracranial vessels in patients with MMD have been evaluated in previous studies using PC-MR imaging, and most of them explored the hemodynamic change of the anterior and posterior circulation before and after the operation. 10,11,19 However, few studies focused on the hemodynamic status of the STA.…”

Section: Discussionmentioning

confidence: 99%

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The Value of Preoperative Phase-Contrast MRI in Predicting the Clinical Outcome of Moyamoya Disease after Encephalo-Duro-Arterial Synangiosis Surgery

Liu

Han

et al. 2022

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE:In patients with Moyamoya disease, the relationship between preoperative hemodynamic status and prognosis after encephalo-duro-arterial synangiosis (EDAS) surgery was unclear. We aimed to explore the value of the preoperative hemodynamic status acquired by cine phase-contrast MR imaging in predicting collateral formation and clinical outcomes after EDAS surgery in patients with Moyamoya disease.

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Section: Discussionmentioning

confidence: 99%

“…Among the 45 participants (23 women and 22 men; mean age, 33.89 [SD, 18.04] years), 17 had hypertension (38%), 20 had hyperlipidemia (44%), 5 had diabetes (11%), and 1 (2%) had coronary heart disease. Three (7%) participants had a history of smoking, and the posterior cerebral arteries in 6 (13%) participants were involved.…”

Section: Patient Characteristicsmentioning

confidence: 99%

The Value of Preoperative Phase-Contrast MRI in Predicting the Clinical Outcome of Moyamoya Disease after Encephalo-Duro-Arterial Synangiosis Surgery

Liu

Han

et al. 2022

AJNR Am J Neuroradiol

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“…Estimations of relative pressure within the entire vasculature of patients with a stenosis can be obtained by combining 4D flow MRI with computational fluid dynamics [42]. Additional 4D flow MRI flow-related biomarkers, including pulsatility and flow asymmetry to contralateral hemisphere, has been linked to reduced vascular reserve [59]. Also, a direct 4D flow MRI hemodynamic biomarker of vascular reserve with the potential for evaluating cerebrovascular disease has been developed using the hypercapnic challenge [60,61].…”

Section: Stroke and Cerebral Small Vessel Diseasementioning

confidence: 99%

“…Recent work has also shown the usefulness of 4D flow MRI in detecting collateral blood supply, another indication of a hemodynamic disturbance in the stroke patient [59, 62]. Such collateral blood flow patterns were described in carotid stenosis patients prior to [63] and after surgery [64].…”

Section: Clinical Applicationsmentioning

confidence: 99%

4D flow MRI hemodynamic biomarkers for cerebrovascular diseases

2021

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Alterations in cerebral blood flow are common in several neurological diseases among the elderly including stroke, cerebral small vessel disease, vascular dementia, and Alzheimer's disease. 4D flow magnetic resonance imaging (MRI) is a relatively new technique to investigate cerebrovascular disease, and makes it possible to obtain time‐resolved blood flow measurements of the entire cerebral arterial venous vasculature and can be used to derive a repertoire of hemodynamic biomarkers indicative of cerebrovascular health. The information that can be obtained from one single 4D flow MRI scan allows both the investigation of aberrant flow patterns at a focal location in the vasculature as well as estimations of brain‐wide disturbances in blood flow. Such focal and global hemodynamic biomarkers show the potential of being sensitive to impending cerebrovascular disease and disease progression and can also become useful during planning and follow‐up of interventions aiming to restore a normal cerebral circulation. Here, we describe 4D flow MRI approaches for analyzing the cerebral vasculature. We then survey key hemodynamic biomarkers that can be reliably assessed using the technique. Finally, we highlight cerebrovascular diseases where one or multiple hemodynamic biomarkers are of central interest.

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“…Intracranial aneurysm is usually found in the arteries at the base of the brain, and the location here is generally called the ring of the arteries at the base of the brain, also known as the Willis ring. It involves anterior communicating artery, bilateral anterior cerebral artery beginning segment, bilateral internal carotid artery end segment, bilateral posterior communicating artery, and bilateral posterior cerebral artery beginning segment [ 5 – 7 ]. 80% of the aneurysms occur in the posterior Willis ring.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning-Based Magnetic Resonance Imaging in Diagnosis and Treatment of Intracranial Aneurysm

Lei

Yang

2022

Computational and Mathematical Methods in Medicine

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This study was focused on the positioning of the intracranial aneurysm in the magnetic resonance imaging (MRI) images using the deep learning-based U-Net model, to realize the computer-aided diagnosis of the intracranial aneurysm. First, a network was established based on the three-dimensional (3D) U-Net model, and the collected image data were input into the network to realize the automatic location and segmentation of the aneurysm. The 3D convolutional neural network (CNN) network can extract the aneurysm blood vessels to locate and identify the areas of possible aneurysms. Next, 40 patients highly suspected of intracranial aneurysm were selected as research subjects, and they were subjected to magnetic resonance angiography (MRA) and digital subtraction angiography (DSA) examinations. The results showed that based on the U-Net algorithm model, 40 patients’ hemangiomas were completely contained in the labeling bounding box, one patient’s hemangioma was at the edge of the labeling bounding box, and 4 patients’ hemangiomas were outside the labeling box. The final accuracy coefficient was 88.9%, and it was in good agreement with the doctor’s manual labelling results. Under the 3D CNN network test, the sensitivity, specificity, and accuracy of DSA for intracranial aneurysm were 91.46%, 86.01%, and 90.2%, respectively; the sensitivity, specificity, and accuracy of MRA for intracranial aneurysm were 95.87%, 100%, and 97.19%, respectively. In conclusion, the 3D CNN can successfully realize the positioning of intracranial aneurysm in MRA images, providing a certain theoretical basis for subsequent imaging diagnosis of aneurysm.

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Multiparametric flow analysis using four-dimensional flow magnetic resonance imaging can detect cerebral hemodynamic impairment in patients with internal carotid artery stenosis

Cited by 11 publications

References 40 publications

The Value of Preoperative Phase-Contrast MRI in Predicting the Clinical Outcome of Moyamoya Disease after Encephalo-Duro-Arterial Synangiosis Surgery

The Value of Preoperative Phase-Contrast MRI in Predicting the Clinical Outcome of Moyamoya Disease after Encephalo-Duro-Arterial Synangiosis Surgery

4D flow MRI hemodynamic biomarkers for cerebrovascular diseases

Deep Learning-Based Magnetic Resonance Imaging in Diagnosis and Treatment of Intracranial Aneurysm

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