Neuroimaging patterns of cerebral hyperperfusion

Семенов, С. Е.; Portnov, Yu. M.; Semenov, Alexander; Короткевич, Анастасия Александровна; Kokov, А. N.

doi:10.1088/1742-6596/886/1/012014

Cited by 8 publications

(5 citation statements)

References 6 publications

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“…Notwithstanding, we anticipate that a transition to three dimensions in realizable antenna array systems would benefit from the utilization of a greater number of antennas, thus capturing 3D spatial detail such as that arising from a 3D hemorrhage volume within the head. While past studies have demonstrated that large head-encircling arrays (> 30 antennas) together with electromagnetic field simulations can be used for stroke detection 46 , 47 , the benefits of machine learning approaches applied to large cohorts, including with broadband frequency interrogation, remain untested.…”

Section: Discussionmentioning

confidence: 99%

A stroke detection and discrimination framework using broadband microwave scattering on stochastic models with deep learning

Alon

Dehkharghani

2021

Sci Rep

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Stroke poses an immense public health burden and remains among the primary causes of death and disability worldwide. Emergent therapy is often precluded by late or indeterminate times of onset before initial clinical presentation. Rapid, mobile, safe and low-cost stroke detection technology remains a deeply unmet clinical need. Past studies have explored the use of microwave and other small form-factor strategies for rapid stroke detection; however, widespread clinical adoption remains unrealized. Here, we investigated the use of microwave scattering perturbations from ultra wide-band antenna arrays to learn dielectric signatures of disease. Two deep neural networks (DNNs) were used for: (1) stroke detection (“classification network”), and (2) characterization of the hemorrhage location and size (“discrimination network”). Dielectric signatures were learned on a simulated cohort of 666 hemorrhagic stroke and control subjects using 2D stochastic head models. The classification network yielded a stratified K-fold stroke detection accuracy > 94% with an AUC of 0.996, while the discrimination network resulted in a mean squared error of < 0.004 cm and < 0.02 cm, for the stroke localization and size estimation, respectively. We report a novel approach to intelligent diagnostics using microwave wide-band scattering information thus circumventing conventional image-formation.

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Section: Discussionmentioning

confidence: 99%

A stroke detection and discrimination framework using broadband microwave scattering on stochastic models with deep learning

Alon

Dehkharghani

2021

Sci Rep

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“…Therefore in Russia, for example, PCT is included in the national standard of examination for TIA [55]. The complex of lesion patterns in VIS indicates primary moderate hyperperfusion or venous plethora with an increase in all perfusion parameters (CBF, CBV, MTT) in the range from 27% to 48% (on average 30%) in the damaged area without the development of necrosis or perifocal in cases when necrosis with aperfusion already takes place [7]. In cases of the stroke associated with CVT without or before infarction/necrosis of the brain tissue the changes in perfusion reach only the damage threshold, that is, a 30% difference from the conventionally healthy tissue on the opposite side.…”

Section: The Native Ct Of the Brain Is Performed Everywhere Immediate...mentioning

confidence: 99%

“…Today a new non-invasive method for determining CVP using Doppler ultrasonography has appeared in the arsenal of instrumental methods. The pilot study has been performed to identify Moderate hyperemia according to CT perfusion data and vasogenic edema according to MR diffusion data and intracranial venous congestion rather than oligemia, are the primary damaging factors in the pathogenesis of the venous stroke in contrast to the arterial stroke [7]. It is known that the venous stroke (VIS) accounts for 0.5-1% of all the ischemic strokes [8,9].…”

Section: Introductionmentioning

confidence: 99%

“…Venous outflow disorders are often associated with and contribute to the development of edema as well as possible increased risk of bleeding [12]. The venous stroke associated with cerebral venous sinus thrombosis is prone to secondary hemorrhages in 36-40% of cases, which is significantly more likely than arterial [13,14] and due to the severity of vasogenic edema [7,15]. It is important that the main approach to the treatment of VIS which is more prone to secondary hemorrhage [16] is anticoagulant therapy, the safety of which in this group of the patients has not been completely determined [17,18].…”

Section: Introductionmentioning

confidence: 99%

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Clinical and instrumental indicators of intracranial venous stasis and secondary ischemia in cerebral sinus thrombosis. A review

SE¹,

EA²,

IV³

et al. 2021

Med Case Rep Rev

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The purpose of the narrative review is to search for confirmation or controversy of the hypothesis according to which venous ischemia developing in cerebral venous sinustrombosis is secondary as a result of mechanical narrowing of arterioles in the area of vasogenic edema. This review discusses the issues of multimodal radiological diagnosis of a rare disease of a non-hemorrhagic ischemic venous stroke based on expert opinion, current recommendations and our experience. As a result of the review no contradictions to this hypothesis have been found, and the most characteristic symptoms of CVT, secondary ischemia, intracranial venous congestion can be identified in the order of their probable clinical manifestation from patient complaints to the results of instrumental studies: headache, subacute development and course of the disease, papilledema optic disc, increase of central venous pressure, hypodensity of the ischemic foci and hyperdensity signs of sinus on CT, earlier development of vasogenic edema on diffusion MRI, symptoms of stop-contrast and filling defect thrombosed sinuses on contrast enhancement CTA or MRA, dilatation of venous regional collaterals, moderate hyperperfusion on CT-or MR-perfusion, elevated maximum blood flow velocity Rosenthal veins; Galen's vein and rectus sinus, decreased cerebrovascular reactivity index, increased peripheral resistance index on Transcranial Doppler, clot visualization on brachiocephalic veins ultrasound duplex scanning, decreasing of brachiocephalic vessels ultrasound index of arteriovenous ratio.

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“…It is known that venous stroke (VIS) accounts for 0.5-1% of all ischemic strokes [5]. Strokes associated with cerebral venous sinus thrombosis are prone to secondary hemorrhages in 40% of cases, which is significantly more likely than arterial [6,7] and due to the severity of vasogenic edema in VIS [8,9]. It is important that the main approach to the treatment of VIS, which is more prone to secondary hemorrhage [10], is anticoagulant therapy, the safety of which in this group of patients has not been completely determined [11,12].…”

Section: Introductionmentioning

confidence: 99%

Brachiocephalic Vessels Ultrasound Index of Arteriovenous Ratio (IAVR) and Headache as a Diagnostic Tool for Intracranial Venous Stasis in Arterial/Venous Ischemic Stroke’s Differentiation

Semenov¹,

Elena²,

Alexey³

et al. 2019

J Neuroimaging Psychiatry Neurol

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Identification of signs of intracranial venous stasis using ultrasound methods in combination with determination of headache intensity according to the visual-analogue scale allows us to suspect the venous genesis of ischemic stroke before using neuroimaging methods, which can contribute to the selection of adequate therapy and to improve the prognosis and long-term outcomes of the disease. Objective: To study the prognostic value of a complex of clinical demographic and instrumental indicators for developing a model for early differential diagnosis of ischemic stroke of arterial and venous origin. Material and Methods: Examined 124 patients with ischemic stroke: 22 with venous stroke due cerebral venous sinus thrombosis (VIS), 53.5±16.7y and 102 with atherothrombotic stroke (AIS), 68.3±12.1y which were verified by native CT; CT-angiography, PCT (perfusion CT: CBF, CBV, MTT), brachiocephalic vessels ultrasound index of arteriovenous ratio (IAVR) and transcranial duplex scanning for all. IAVR was obtained due duplex scanning of carotid common arteries (CCA) and internal jugular veins (IJV) according to the formula: V max IJV optimal =2S CCA × Vps CCA/ 3S IJV……… (1) IAVR = max IJV actual / V max IJV optimal × 100%, where……… (2) IAVR-index of arteriovenous ratio, (%) Vps CCA-peak systolic velocity of the CCA, cm/s Vmax IJV-maximum blood flow velocity, cm/s. S-vessel cross-sectional area, cm 2 , as well as. To assess the neurological status of patients, rating scales were used, including a visually analog headache intensity scale. Results: The greatest prognostic significance was possessed by such parameters as the indicator of arteriovenous blood flow ratio and the value of headache intensity on a visual-analogue scale. A model for the differential diagnosis of AIS and VIS, which has high specificity and sensitivity, has been developed. Velocity indicators in the veins of Rosenthal and the vein of Galen are additional signs of intracranial venous stasis.

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Neuroimaging patterns of cerebral hyperperfusion

Cited by 8 publications

References 6 publications

A stroke detection and discrimination framework using broadband microwave scattering on stochastic models with deep learning

A stroke detection and discrimination framework using broadband microwave scattering on stochastic models with deep learning

Clinical and instrumental indicators of intracranial venous stasis and secondary ischemia in cerebral sinus thrombosis. A review

Brachiocephalic Vessels Ultrasound Index of Arteriovenous Ratio (IAVR) and Headache as a Diagnostic Tool for Intracranial Venous Stasis in Arterial/Venous Ischemic Stroke’s Differentiation

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