4 results match your criteria: "Department of Radiology and Feil Family Brain and Mind Research Institute[Affiliation]"

Motivation: This study presents a novel nonlinear model which can predict 10-year carotid ultrasound image-based phenotypes by fusing nine traditional cardiovascular risk factors (ethnicity, gender, age, artery type, body mass index, hemoglobin A1c, hypertension, low-density lipoprotein, and smoking) with five types of carotid automated image phenotypes (three types of carotid intima-media thickness (IMT), wall variability, and total plaque area).

Methodology: Two-step process was adapted: First, five baseline carotid image-based phenotypes were automatically measured using AtheroEdge (AtheroPoint , CA, USA) system by two operators (novice and experienced) and an expert. Second, based on the annual progression rates of cIMT due to nine traditional cardiovascular risk factors, a novel nonlinear model was adapted for 10-year predictions of carotid phenotypes.

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Echolucency-based phenotype in carotid atherosclerosis disease for risk stratification of diabetes patients.

Diabetes Res Clin Pract

September 2018

Stroke Monitoring and Diagnostic Division, AtheroPoint(TM), Roseville, CA, USA. Electronic address:

Aim: The study investigated the association of carotid ultrasound echolucent plaque-based biomarker with HbA1c, measured as age-adjusted grayscale median (AAGSM) as a function of chronological age, total plaque area, and conventional grayscale median (GSM).

Methods: Two stages were developed: (a) automated measurement of carotid parameters such as total plaque area (TPA); (b) computing the AAGSM as a function of GSM, age, and TPA. Intra-operator (novice and experienced) analysis was conducted.

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Multimodal Diagnostic Imaging for Hyperacute Stroke.

AJNR Am J Neuroradiol

December 2015

Interventional Neuroradiology (C.L.), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontaria, Canada.

In April 2015, the American Roentgen Ray Society and the American Society of Neuroradiology cosponsored a unique program designed to evaluate the state of the art in the imaging work-up of acute stroke. This topic has grown in importance because of the recent randomized controlled trials demonstrating the clear efficacy of endovascular stroke treatment. The authors, who were participants in that symposium, will highlight the points of emphasis in this article.

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