Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans

Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans

Abstract Background To assess the potential of radiomic features to quantify components of blood in intraaortic vessels to non-invasively predict moderate-to-severe anemia in non-contrast enhanced CT scans. Methods One hundred patients (median age, 69 years; range, 19–94 years) who received CT scans...

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Bibliographic Details
Main Authors: Scherwin Mahmoudi, Simon S. Martin, Jörg Ackermann, Yauheniya Zhdanovich, Ina Koch, Thomas J. Vogl, Moritz H. Albrecht, Lukas Lenga, Simon Bernatz
Format: Article
Language:English
Published: BMC 2021-08-01
Series:BMC Medical Imaging
Subjects:
Radiomics
Blood
Anemia
Artificial intelligence
CT
Online Access:https://doi.org/10.1186/s12880-021-00654-9

Internet

https://doi.org/10.1186/s12880-021-00654-9

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