Detection of early-stage lung cancer in sputum using automated flow cytometry and machine learning

Detection of early-stage lung cancer in sputum using automated flow cytometry and machine learning

Abstract Background Low-dose spiral computed tomography (LDCT) may not lead to a clear treatment path when small to intermediate-sized lung nodules are identified. We have combined flow cytometry and machine learning to develop a sputum-based test (CyPath Lung) that can assist physicians in decision...

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Bibliographic Details
Main Authors: Madeleine E. Lemieux, Xavier T. Reveles, Jennifer Rebeles, Lydia H. Bederka, Patricia R. Araujo, Jamila R. Sanchez, Marcia Grayson, Shao-Chiang Lai, Louis R. DePalo, Sheila A. Habib, David G. Hill, Kathleen Lopez, Lara Patriquin, Robert Sussman, Roby P. Joyce, Vivienne I. Rebel
Format: Article
Language:English
Published: BMC 2023-01-01
Series:Respiratory Research
Subjects:
Sputum
Automated flow cytometry
Machine learning
Porphyrin
Early-stage lung cancer
Online Access:https://doi.org/10.1186/s12931-023-02327-3

Internet

https://doi.org/10.1186/s12931-023-02327-3

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