LDCT Cardiovascular Automatic Biomarker Screening Study
1. Assess the performance of Zebra's automatic coronary calcium quantification algorithm upon low dose screening chest CT's.
2. Assess the performance of Zebra's automatic detection of hepatic steatosis upon low dose screening chest CT's.
3. Assess the performance of Zebra's visceral and pericardial fat quantification algorithms on low dose screening chest CT's.
4. Determine the possible predictive value of these algorithms (alone and in combination) upon risk of cardiovascular events within the NLCST cohort.
This study is at present entirely internal to Zebra Medical Vision
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Using machine learning algorithms to review computed tomography scans and assess risk for cardiovascular disease: Retrospective analysis from the National Lung Screening Trial (NLST).
Stemmer A, Shadmi R, Bregman-Amitai O, Chettrit D, Blagev D, Orlovsky M, Deutsch L, Elnekave E
PLoS ONE. 2020; Volume 15 (Issue 8): Pages e0236021 PUBMED