Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort …
Background Body CT scans are frequently done for a wide range of clinical indications, but
potentially valuable biometric information typically goes unused. We aimed to compare the …
potentially valuable biometric information typically goes unused. We aimed to compare the …
Abdominal CT body composition thresholds using automated AI tools for predicting 10-year adverse outcomes
Background CT-based body composition measures derived from fully automated artificial
intelligence tools are promising for opportunistic screening. However, body composition …
intelligence tools are promising for opportunistic screening. However, body composition …
Population-scale CT-based body composition analysis of a large outpatient population using deep learning to derive age-, sex-, and race-specific reference curves
Background Although CT-based body composition (BC) metrics may inform disease risk and
outcomes, obtaining these metrics has been too resource intensive for large-scale use …
outcomes, obtaining these metrics has been too resource intensive for large-scale use …
AI-based opportunistic CT screening of incidental cardiovascular disease, osteoporosis, and sarcopenia: cost-effectiveness analysis
PJ Pickhardt, L Correale, C Hassan - Abdominal Radiology, 2023 - Springer
Purpose To assess the cost-effectiveness and clinical efficacy of AI-assisted abdominal CT-
based opportunistic screening for atherosclerotic cardiovascular (CV) disease, osteoporosis …
based opportunistic screening for atherosclerotic cardiovascular (CV) disease, osteoporosis …
Opportunistic screening at abdominal CT: use of automated body composition biomarkers for added cardiometabolic value
PJ Pickhardt, PM Graffy, AA Perez, MG Lubner… - Radiographics, 2021 - pubs.rsna.org
Abdominal CT is a frequently performed imaging examination for a wide variety of clinical
indications. In addition to the immediate reason for scanning, each CT examination contains …
indications. In addition to the immediate reason for scanning, each CT examination contains …
Multimodality strategy for cardiovascular risk assessment: performance in 2 population-based cohorts
Background: Current strategies for cardiovascular disease (CVD) risk assessment among
adults without known CVD are limited by suboptimal performance and a narrow focus on …
adults without known CVD are limited by suboptimal performance and a narrow focus on …
Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study
BK Tamarappoo, A Lin, F Commandeur… - Atherosclerosis, 2021 - Elsevier
Background and aims We sought to assess the performance of a comprehensive machine
learning (ML) risk score integrating circulating biomarkers and computed tomography (CT) …
learning (ML) risk score integrating circulating biomarkers and computed tomography (CT) …
[HTML][HTML] Body composition analysis of computed tomography scans in clinical populations: the role of deep learning
MT Paris - Lifestyle genomics, 2020 - karger.com
Background: Body composition is increasingly being recognized as an important prognostic
factor for health outcomes across cancer, liver cirrhosis, and critically ill patients. Computed …
factor for health outcomes across cancer, liver cirrhosis, and critically ill patients. Computed …
Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts
Background Binary diagnosis of coronary artery disease does not preserve the complexity of
disease or quantify its severity or its associated risk with death; hence, a quantitative marker …
disease or quantify its severity or its associated risk with death; hence, a quantitative marker …
Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial …
Current risk scores using clinical risk factors for predicting ischemic heart disease (IHD)
events—the leading cause of global mortality—have known limitations and may be …
events—the leading cause of global mortality—have known limitations and may be …