Presentation + Paper
7 April 2023 Linking CT and SPECT based analysis for quantitative follow-up of vascular perfusion defects in COVID-19
Author Affiliations +
Abstract
COVID-19 still affects a large population worldwide with possible post-traumatic sequelae requiring long-term patient follow-up for the most severe cases. The lung is the primary target of severe acute respiratory syndrome coronavirus 2 (SARS- CoV-2) infection. In particular, the virus affects the entire pulmonary vascular tree from large vessels to capillaries probably leading to an abnormal vascular remodeling. In this study we investigated two modalities for assessing this remodeling, SPECT perfusion scintigraphy and computed tomography, the latter enabling the computation of vascular remodeling patterns. We analyzed on a cohort of 30 patients the relationship between vascular remodeling and perfusion defects in the peripheral lung area, which is a predominant focus of the COVID-19 infectious patterns. We found that such relationship exists, demonstrated by moderate significant correlations between SPECT and CT measures. In addition, a vascular remodeling index derived from the z-score normalized peripheral CT images showed a moderate significant correlation with the diffusing capacity of the lung for carbon monoxide (DLCO) measures. Altogether these results point CT scan as a good tool for a standardized, quantitative, and easy-to-use routine characterization and follow-up of COVID19-induced vascular remodeling. An extensive validation of these results will be carried out in the near future on a larger cohort.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Catalin Fetita, Antoine Didier, Jean Richeux, Christian Tulvan, Jean-François Bernaudin, Pierre-Yves Brillet, and Aurélien Justet "Linking CT and SPECT based analysis for quantitative follow-up of vascular perfusion defects in COVID-19", Proc. SPIE 12465, Medical Imaging 2023: Computer-Aided Diagnosis, 124650E (7 April 2023); https://doi.org/10.1117/12.2651945
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KEYWORDS
Single photon emission computed tomography

Lung

COVID 19

Image segmentation

Scintigraphy

Computed tomography

Data acquisition

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