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Accuracy and Prognostic Role of NCCT-ASPECTS Depend on Time from Acute Stroke Symptom-onset for both Human and Machine-learning Based Evaluation
ConclusionThe accuracy and reliability of NCCT-ASPECTS are time dependent for both human and machine-learning based evaluation, indicating reduced detectability of fast stroke progressors by NCCT. In hyperacute stroke, collateral status from CT-angiography may help for a  better prognosis on clinical outcome and explain the occurrence of futile recanalization.
Source: Klinische Neuroradiologie - October 28, 2021 Category: Radiology Source Type: research

Study: Do angio before CT in acute stroke patients
Performing angiography immediately in stroke patients improves treatment tim...Read more on AuntMinnie.comRelated Reading: CT mobile stroke units improve patient outcomes AI predicts cardiovascular risk on routine chest CT Stroke ambulances improve patient outcomes fMRI reveals info about visual conditions in stroke patients Machine learning helps find vessel occlusions on CTA
Source: AuntMinnie.com Headlines - March 19, 2021 Category: Radiology Source Type: news

Multiclass machine learning vs. conventional calculators for stroke/CVD risk assessment using carotid plaque predictors with coronary angiography scores as gold standard: a 500 participants study
AbstractMachine learning (ML)-based algorithms for cardiovascular disease (CVD) risk assessment have shown promise in clinical decisions. However, they usually predict binary events using only conventional risk factors. Our overall goal was to develop the “multiclass machine learning (MCML)-based algorithms” (labelled as AtheroEdge 3.0ML) and assess whether considering carotid ultrasound imaging fused with conventional risk factors can provide better CVD/stroke risk prediction than conventional CVD risk calculators (CCVRC). Carotid ultrasound and coronary angiography were performed on 500 participants. Stenosis in the ...
Source: The International Journal of Cardiovascular Imaging - November 12, 2020 Category: Radiology Source Type: research

LVO stroke patients benefit from going directly to angiography suite
Patients with suspected large vessel occlusion (LVO) stroke can have bette...Read more on AuntMinnie.comRelated Reading: Can radiology AI win with a bad hand? Machine learning helps find vessel occlusions on CTA Algorithm detects LVO stroke on multiphase CTA Will Medicare reimbursement propel radiology AI market? COVID-19 associated with large vessel strokes
Source: AuntMinnie.com Headlines - August 2, 2021 Category: Radiology Source Type: news

Report: reimbursement drives adoption of AI software for stroke
The start in 2020 of Medicare payments for artificial intelligence (AI) softwar...Read more on AuntMinnie.comRelated Reading: CMS renews reimbursements for Viz.ai stroke AI software LVO stroke patients benefit from going directly to angiography suite Can radiology AI win with a bad hand? How can radiologists benefit from AI in 2021? Machine learning helps find vessel occlusions on CTA
Source: AuntMinnie.com Headlines - November 16, 2021 Category: Radiology Source Type: news

Can Shape Analysis Differentiate Free-floating Internal Carotid Artery Thrombus from Atherosclerotic Plaque in Patients Evaluated with CTA for Stroke or Transient Ischemic Attack?
Conclusions: We identified five quantitative shape descriptors of carotid FFT. This shape “signature” shows potential for supplementing conventional lesion characterization in cases of suspected FFT.
Source: Academic Radiology - February 8, 2014 Category: Radiology Authors: Rebecca E. Thornhill, Cheemun Lum, Arash Jaberi, Pawel Stefanski, Carlos H. Torres, Franco Momoli, William Petrcich, Dar Dowlatshahi Tags: Original Investigations Source Type: research

Machine learning volumetry of ischemic brain lesions on CT after thrombectomy —prospective diagnostic accuracy study in ischemic stroke patients
ConclusionNCCT ILV measured automatically by the Brainomix software might be considered a valuable radiological outcome measure.
Source: Neuroradiology - April 21, 2020 Category: Radiology Source Type: research

Validation of a machine learning software tool for automated large vessel occlusion detection in patients with suspected acute stroke
ConclusionThe StrokeSENS LVO machine learning algorithm detects anterior LVO with high accuracy from a range of scans in a large dataset.
Source: Neuroradiology - November 9, 2022 Category: Radiology Source Type: research

Ischemic stroke subtyping method combining convolutional neural network and radiomics
CONCLUSION: The experimental results show that the proposed method can effectively predict the subtype of IS and has potential to assist doctors in making timely and accurate diagnoses of IS patients.PMID:36591693 | DOI:10.3233/XST-221284
Source: Journal of X-Ray Science and Technology - January 2, 2023 Category: Radiology Authors: Yang Chen Yiwen He Zhuoyun Jiang Yuanzhong Xie Shengdong Nie Source Type: research

Outcomes of middle cerebral artery angioplasty and stenting with Wingspan at a high-volume center
Conclusion Intracranial stenting of MCA stenoses may have the potential of better clinical outcomes if patients are properly selected and treated by an experienced operator at a high-volume center.
Source: Neuroradiology - October 29, 2015 Category: Radiology Source Type: research

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