Can lung airway geometry be used to predict autism? A preliminary machine learning-based study.

Autor: Islam A; Department of Computer Science, Stanford University, Stanford, California, USA., Ronco A; Department of Radiology, University of California, Davis, California, USA., Becker SM; Department of Mechanical and Aerospace Engineering, University of California, Davis, California, USA., Blackburn J; Department of Mechanical and Aerospace Engineering, University of California, Davis, California, USA., Schittny JC; Institute of Anatomy, University of Bern, Bern, Switzerland.; Center for Health and the Environment, University of California, Davis, California, USA., Kim K; Department of Public Health Science, University of California, Davis, California, USA., Stein-Wexler R; Department of Radiology, University of California, Davis, California, USA., Wexler AS; Department of Mechanical and Aerospace Engineering, University of California, Davis, California, USA.; Department of Civil and Environmental Engineering, University of California, Davis, California, USA.; Department of Land, Air and Water Resources, University of California, Davis, California, USA.; Air Quality Research Center, University of California, Davis, California, USA.
Jazyk: angličtina
Zdroj: Anatomical record (Hoboken, N.J. : 2007) [Anat Rec (Hoboken)] 2024 Feb; Vol. 307 (2), pp. 457-469. Date of Electronic Publication: 2023 Sep 28.
DOI: 10.1002/ar.25332
Abstrakt: The goal of this study is to assess the feasibility of airway geometry as a biomarker for autism spectrum disorder (ASD). Chest computed tomography images of children with a documented diagnosis of ASD as well as healthy controls were identified retrospectively. Fifty-four scans were obtained for analysis, including 31 ASD cases and 23 controls. A feature selection and classification procedure using principal component analysis and support vector machine achieved a peak cross validation accuracy of nearly 89% using a feature set of eight airway branching angles. Sensitivity was 94%, but specificity was only 78%. The results suggest a measurable difference in airway branching angles between children with ASD and the control population.
(© 2023 American Association for Anatomy.)
Databáze: MEDLINE
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