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Dataset Information

Chest CT for triage during COVID-19 on the emergency department: myth or truth?


ABSTRACT:

Purpose

We aimed to investigate the diagnostic performance of chest CT compared with first RT-PCR results in adult patients suspected of COVID-19 infection in an ED setting. We also constructed a predictive machine learning model based on chest CT and additional data to improve the diagnostic accuracy of chest CT.

Methods

This study's cohort consisted of 319 patients who underwent chest CT and RT-PCR testing at the ED. Patient characteristics, demographics, symptoms, vital signs, laboratory tests, and chest CT results (CO-RADS) were collected. With first RT-PCR as reference standard, the diagnostic performance of chest CT using the CO-RADS score was assessed. Additionally, a predictive machine learning model was constructed using logistic regression.

Results

Chest CT,

SUBMITTER: Hermans JJR 

PROVIDER: S-EPMC7369539 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature