An End-to-End Integrated Clinical and CT-Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multisite Retrospective Study

ObjectiveThe disease COVID-19 has caused a widespread global pandemic with ~3. 93 million deaths worldwide. In this work, we present three models—radiomics (MRM), clinical (MCM), and combined clinical–radiomics (MRCM) nomogram to predict COVID-19-positive patients who will end up needing invasive me...

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Detalhes bibliográficos

Principais autores:	Pranjal Vaidya, Mehdi Alilou, Amogh Hiremath, Amit Gupta, Kaustav Bera, Jennifer Furin, Keith Armitage, Robert Gilkeson, Lei Yuan, Pingfu Fu, Cheng Lu, Mengyao Ji, Anant Madabhushi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2022-04-01
coleção:	Frontiers in Radiology
Assuntos:	COVID-19 radiomics nomogram prognosis severity peritumoral radiomics
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fradi.2022.781536/full
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