Transferring CT image biomarkers from fibrosing idiopathic interstitial pneumonia to COVID-19 analysis

Catalin Fetita; Simon Rennotte; Marjorie Latrasse; Ruxandra Tapu; Mathilde Maury; Bogdan Mocanu; Hilario Nunes; Pierre-Yves Brillet

doi:10.1117/12.2580658

15 February 2021 Transferring CT image biomarkers from fibrosing idiopathic interstitial pneumonia to COVID-19 analysis

Catalin Fetita, Simon Rennotte, Marjorie Latrasse, Ruxandra Tapu, Mathilde Maury, Bogdan Mocanu, Hilario Nunes, Pierre-Yves Brillet

Author Affiliations +

Proceedings Volume 11597, Medical Imaging 2021: Computer-Aided Diagnosis; 1159708 (2021) https://doi.org/10.1117/12.2580658
Event: SPIE Medical Imaging, 2021, Online Only

Abstract

Fibrosing idiopathic interstitial pneumonia (fIIP) is a subclass of interstitial lung diseases, which leads to fibrosis in a continuous and irreversible process of lung function decay. Patients with fIIP require regular quantitative follow-up with CT and several image biomarkers have already been proposed to grade the pathology severity and try to predict the evolution. Among them, we cite the spatial extent of the diseased lung parenchyma and airway and vascular remodeling markers. COVID-19 (Cov-19) presents several similarities with fIIP and this condition is moreover suspected to evolve to fIIP in 10-30% of severe cases. Note also that the main difference between Cov-19 and fIIP is the presence of peripheral ground glass opacities and less or no amount of fibrosis in the lung, as well as the absence of airway remodeling. This paper proposes a preliminary study to investigate how existing image markers for fIIP may apply to Cov-19 phenotyping, namely texture classification and vascular remodeling. In addition, since for some patients, the fIIP/Cov-19 follow-up protocol imposes CT acquisitions at both full inspiration and full expiration, this information could also be exploited to extract additional knowledge for each individual case. We hypothesize that taking into account the two respiratory phases to analyze breathing parameters through interpolation and registration might contribute to a better phenotyping of the pathology. This preliminary study, conducted on a reduced number of patients (eight Cov-19 of different severity degrees, two fIIP patients and one control), shows a great potential of the selected CT image markers.

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Catalin Fetita, Simon Rennotte, Marjorie Latrasse, Ruxandra Tapu, Mathilde Maury, Bogdan Mocanu, Hilario Nunes, and Pierre-Yves Brillet "Transferring CT image biomarkers from fibrosing idiopathic interstitial pneumonia to COVID-19 analysis", Proc. SPIE 11597, Medical Imaging 2021: Computer-Aided Diagnosis, 1159708 (15 February 2021); https://doi.org/10.1117/12.2580658

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