Predicting endobronchial valve treatment response in emphysema patients using the lung fissure integrity score extracted from chest CT scans

Dallas K. Tada; Grace H. Kim; Pangyu Teng; Kalyani Vyapari; Ashley Banola; Fereidoun Abtin; Jonathan G. Goldin; Michael McNitt-Gray; Matthew S. Brown

doi:10.1117/12.3008764

3 April 2024 Predicting endobronchial valve treatment response in emphysema patients using the lung fissure integrity score extracted from chest CT scans

Dallas K. Tada, Grace H. Kim, Pangyu Teng, Kalyani Vyapari, Ashley Banola, Fereidoun Abtin, Jonathan G. Goldin, Michael McNitt-Gray, Matthew S. Brown

Author Affiliations +

Proceedings Volume 12927, Medical Imaging 2024: Computer-Aided Diagnosis; 129270M (2024) https://doi.org/10.1117/12.3008764
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Abstract

We propose to develop a prediction model that uses the quantitative lung fissure integrity score from chest CT scans that can identify emphysema patients that successfully respond to endobronchial valve (EBV) treatment. It is hypothesized that patients with high fissure integrity are more likely to respond to EBV treatment and achieve volume reduction of the emphysematous lobe. This study retrospectively collected 89 anonymized pre-treatment chest CT exams from patients with moderate to severe emphysema and who underwent EBV treatment. Previous work used a deep learning approach that segmented lung fissure and quantified a fissure integrity score (FIS) for the right horizontal fissure (RHF), right oblique fissure (ROF), and left oblique fissure (LOF). A FIS is defined as the percentage of total fissure voxels present along the interlobar region. Fissures were categorized as complete with a FIS of ≥90%; otherwise, it was considered incomplete. The response to EBV treatment was recorded as the amount of targeted lobe volume reduction (TLVR) compared to target lobe volume prior to treatment. EBV placement was considered successful with a TLVR of ≥350 ml. Statistical analyses were performed separately for each targeted lobe and a logistic regression model was trained using the extracted FIS. From the test set, 8 subjects achieved TLVR with a mean(±SD) FIS of 0.943(±0.052). 23 targeted lobes did not achieve the desired TLVR, with a mean(±SD) FIS of 0.751(±0.201). The EBV prediction model using the FIS achieved an AUC of 0.842. A model using the quantified FIS shows potential as a predictive biomarker for whether a targeted lobe will achieve successful volume reduction from EBV treatment.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dallas K. Tada, Grace H. Kim, Pangyu Teng, Kalyani Vyapari, Ashley Banola, Fereidoun Abtin, Jonathan G. Goldin, Michael McNitt-Gray, and Matthew S. Brown "Predicting endobronchial valve treatment response in emphysema patients using the lung fissure integrity score extracted from chest CT scans", Proc. SPIE 12927, Medical Imaging 2024: Computer-Aided Diagnosis, 129270M (3 April 2024); https://doi.org/10.1117/12.3008764

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