A novel intelligent radiomic analysis of perfusion SPECT/CT images to optimize pulmonary embolism diagnosis in COVID-19 patients

A novel intelligent radiomic analysis of perfusion SPECT/CT images to optimize pulmonary embolism diagnosis in COVID-19 patients

Abstract Background COVID-19 infection, especially in cases with pneumonia, is associated with a high rate of pulmonary embolism (PE). In patients with contraindications for CT pulmonary angiography (CTPA) or non-diagnostic CTPA, perfusion single-photon emission computed tomography/computed tomograp...

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Bibliographic Details
Main Authors: Sonia Baeza, Debora Gil, Ignasi Garcia-Olivé, Maite Salcedo-Pujantell, Jordi Deportós, Carles Sanchez, Guillermo Torres, Gloria Moragas, Antoni Rosell
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:EJNMMI Physics
Subjects:
Pulmonary embolism
SPECT
CT
COVID-19
Radiomics
Neural networks
Online Access:https://doi.org/10.1186/s40658-022-00510-x

Internet

https://doi.org/10.1186/s40658-022-00510-x

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