cover image: Ats 2024 Highlights

Ats 2024 Highlights

2024

ATS 2024 Highlights Respiratory Structure and Function Early Career Professionals If you or someone you know would like to be featured as an ATS RSF ECP please email Katrina Tonga (katrina.tonga@sydney.edu.au) Get to know members of the RSF Assembly Alexander Bell, PhD Research Lab Specialist Department of Radiology University of Michigan Is your research clinical, basic science or translational [...] Translational Where do you see yourself in 5 years? I wish to improve our understanding of disease classification beyond arbitrary schemes based on limited measurements. I see myself having published work on, developed and popularized this concept in 5 years. Tell us about your research? [...] My background is in Mathematics and Data Science, which I use to develop and utilize advanced methods for feature extraction and analysis to contribute to the understanding and solving of complex problems faced by contemporary clinicians. In my PhD I developed CT image analysis methods to identify distinct phenotypes of asthmatics based on density change gradients in the lung. [...] In the work shown here, I used the elastic principal graph concept, see work by Gorban and Zinovyev1, with the tool ClinTrajAn2, to phenotype and model trajectories of patients with chronic obstructive pulmonary disease (COPD). [...] alejbell@med.umich.edu Please follow us on X @ATS_RSF and like our Facebook page!ATS 2024 Highlights Respiratory Structure and Function Early Career Professionals Methods: Cross-sectional data for 8972 participants from Phase 1 of the COPDGene longitudinal study were utilized for training, with 4585/8972 (51%) of participants having Phase 2 data (≈5 years later). [...] Longitudinal analysis showed most participants (69%) stayed on the same segment after 5 years, with segment displacements on average moving away from the root, and a notable increase in displacement for cases with accelerated decline leading to a COPD subtype or PRISm terminal (Figure 1 B). [...] Conclusion: We applied ClinTrajAn to a large longitudinal study population to model phenotypes and trajectories in COPD, and validated progression pathways through observation of projected displacements over 5 years. Clinical trajectory analysis with longitudinal validation in COPD: a COPDGene study If you or someone you know would like to be featured as an ATS RSF ECP please email Katrina Tonga [...] chronic bronchitis, emphysema) and trajectories of disease progression. [...] Clinical trajectory analysis (ClinTrajAn), developed by Zinovyev et al ( ), based on the concept of the branching principal tree, simultaneously phenotypes and determines patient trajectories within cross-sectional clinical data. [...] Our aim was to apply ClinTrajAn to map prominent subtypes and trajectories in a large population of participants, covering the whole range of COPD severity and at-risk profiles, and validate proposed trajectories using longitudinal data.

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