| Autor: |
Perry J Pickhardt, ProfMD, Peter M Graffy, MPH, Ryan Zea, MS, Scott J Lee, MD, Jiamin Liu, PhD, Veit Sandfort, MD, Ronald M Summers, ProfMD |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
The Lancet: Digital Health, Vol 2, Iss 4, Pp e192-e200 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2589-7500 |
| DOI: |
10.1016/S2589-7500(20)30025-X |
| Popis: |
Summary: 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 prognostic ability of automated CT-based body composition biomarkers derived from previously developed deep-learning and feature-based algorithms with that of clinical parameters (Framingham risk score [FRS] and body-mass index [BMI]) for predicting major cardiovascular events and overall survival in an adult screening cohort. Methods: In this retrospective cohort study, mature and fully automated CT-based algorithms with predefined metrics for quantifying aortic calcification, muscle density, ratio of visceral to subcutaneous fat, liver fat, and bone mineral density were applied to a generally healthy asymptomatic outpatient cohort of adults aged 18 years or older undergoing abdominal CT for routine colorectal cancer screening. To assess the association between the predictive measures (CT-based vs FRS and BMI) and downstream adverse events (death or myocardial infarction, cerebrovascular accident, or congestive heart failure subsequent to CT scanning), we used both an event-free survival analysis and logistic regression to compute receiver operating characteristic curves (ROCs) . Findings: 9223 people (mean age 57·1 years [SD 7·8]; 5152 [56%] women and 4071 [44%] men) who underwent CT scans between April, 2004, and December, 2016, were included in this analysis. In the longitudinal clinical follow-up (median 8·8 years [IQR 5·1–11·6]), subsequent major cardiovascular events or death occurred in 1831 (20%) patients. Significant differences were observed for all five automated CT-based body composition measures according to adverse events (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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