scholarly journals Machine Learning–Enabled Automated Determination of Acute Ischemic Core From Computed Tomography Angiography

Stroke ◽  
2019 ◽  
Vol 50 (11) ◽  
pp. 3093-3100 ◽  
Author(s):  
Sunil A. Sheth ◽  
Victor Lopez-Rivera ◽  
Arko Barman ◽  
James C. Grotta ◽  
Albert J. Yoo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computed Tomography ◽  
Computed Tomography Angiography ◽  
Ischemic Core ◽  
Automated Determination

scholarly journals Automated determination of hybrid particle-field parameters by machine learning

2020 ◽  
Vol 118 (19-20) ◽  
pp. e1785571 ◽  
Author(s):  
Morten Ledum ◽  
Sigbjørn Løland Bore ◽  
Michele Cascella
Keyword(s):  
Machine Learning ◽  
Particle Field ◽  
Hybrid Particle ◽  
Automated Determination

Computed tomography angiography accuracy in brain death diagnosis

2020 ◽  
Vol 133 (4) ◽  
pp. 1220-1228
Author(s):  
Sergio Brasil ◽  
Edson Bor-Seng-Shu ◽  
Marcelo de-Lima-Oliveira ◽  
Fabio Silvio Taccone ◽  
Gabriel Gattás ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Brain Death ◽  
Computed Tomography Angiography ◽  
Circulatory Arrest ◽  
Cerebral Veins ◽  
Clinical Trial Registration ◽  
Bilateral Absence ◽  
Internal Cerebral Veins ◽  
Cerebral Circulatory Arrest

OBJECTIVEThe present study was designed to answer several concerns disclosed by systematic reviews indicating no evidence to support the use of computed tomography angiography (CTA) in the diagnosis of brain death (BD). Therefore, the aim of this study was to assess the effectiveness of CTA for the diagnosis of BD and to define the optimal tomographic criteria of intracranial circulatory arrest.METHODSA unicenter, prospective, observational case-control study was undertaken. Comatose patients (Glasgow Coma Scale score ≤ 5), even those presenting with the first signs of BD, were included. CTA scanning of arterial and venous vasculature and transcranial Doppler (TCD) were performed. A neurological determination of BD and consequently determination of case (BD group) or control (no-BD group) was conducted. All personnel involved with assessing patients were blinded to further tests results. Accuracy of BD diagnosis determined by using CTA was calculated based on the criteria of bilateral absence of visualization of the internal cerebral veins and the distal middle cerebral arteries, the 4-point score (4PS), and an exclusive criterion of absence of deep brain venous drainage as indicated by the absence of deep venous opacification on CTA, the venous score (VS), which considers only the internal cerebral veins bilaterally.RESULTSA total of 106 patients were enrolled in this study; 52 patients did not have BD, and none of these patients had circulatory arrest observed by CTA or TCD (100% specificity). Of the 54 patients with a clinical diagnosis of BD, 33 met the 4PS (61.1% sensitivity), whereas 47 met the VS (87% sensitivity). The accuracy of CTA was time related, with greater accuracy when scanning was performed less than 12 hours prior to the neurological assessment, reaching 95.5% sensitivity with the VS.CONCLUSIONSCTA can reliably support a diagnosis of BD. The criterion of the absence of deep venous opacification, which can be assessed by use of the VS criteria investigated in this study, can confirm the occurrence of cerebral circulatory arrest.Clinical trial registration no.: 12500913400000068 (clinicaltrials.gov)

Determination of Porto-Azygos Shunt Anatomy in Dogs by Computed Tomography Angiography

2016 ◽  
Vol 45 (8) ◽  
pp. 1005-1012 ◽  
Author(s):  
Matan Or ◽  
Kumiko Ishigaki ◽  
Hilde de Rooster ◽  
Kenji Kutara ◽  
Kazushi Asano
Keyword(s):  
Computed Tomography ◽  
Computed Tomography Angiography
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