Publikationsdatenbank

Assessment of bronchial blocking success in patients with destructive forms of tuberculosis using decision trees (2021)

Art

Poster

Autoren

Veselsky, Artem

Pavel, Gavrilov

Ivan, Baulin

Belik, Vitaly (WE 16)

Lavrova, Anastasia

Kongress

6th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS)

Oita, 25. – 27.11.2021

Quelle

ICIIBMS 2021 : 6th International Conference on Intelligent Informatics and Biomedical Sciences : November 25-27, 2021, Oita, Japan — Institute of Electrical and Electronics Engineers (Hrsg.)

[Piscataway, NJ]: IEEE, 2021 — S. 135–136

ISBN: 978-1-7281-6714-5

Sprache

Englisch

Verweise

URL (Volltext): https://ieeexplore.ieee.org/document/9651602

DOI: 10.1109/ICIIBMS52876.2021.9651602

Kontakt

Institut für Veterinär-Epidemiologie und Biometrie

Königsweg 67
14163 Berlin
+49 30 838 56034
epi@vetmed.fu-berlin.de

Abstract / Zusammenfassung

We have investigated the importance of various lung characteristics extracted from computer tomography (CT) in combination with other factors for the outcome of the endobronchial valve (BV) therapy in patients with destructive pulmonary pathology due to tuberculosis. We have devised prognostic models on the basis of the decision tree method implemented in R programming language. This allowed us to reveal key characteristics and interactions between them as well as to estimate the success of the endobronchial valve treatment. These models make predictions for changes in the lobe volume and cavity closure at BV therapy. We have found that pleural integrity is a good predictor of lobe volume reduction after BV treatment as well as lobe volume reduction during BV therapy is a prognostic marker for cavity's closure.