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Linking CT and SPECT based analysis for quantitative follow-up of vascular perfusion defects in COVID-19

  • Catalin Fetita
  • , Antoine Didier
  • , Jean Richeux
  • , Christian Tulvan
  • , Jean François Bernaudin
  • , Pierre Yves Brillet
  • , Aurélien Justet

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collectionContribution à une conférenceRevue par des pairs

Résumé

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 COVID-19-induced vascular remodeling. An extensive validation of these results will be carried out in the near future on a larger cohort.

langue originaleAnglais
titreMedical Imaging 2023
Sous-titreComputer-Aided Diagnosis
rédacteurs en chefKhan M. Iftekharuddin, Weijie Chen
EditeurSPIE
ISBN (Electronique)9781510660359
Les DOIs
étatPublié - 1 janv. 2023
EvénementMedical Imaging 2023: Computer-Aided Diagnosis - San Diego, États-Unis
Durée: 19 févr. 202323 févr. 2023

Série de publications

NomProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume12465
ISSN (imprimé)1605-7422

Une conférence

Une conférenceMedical Imaging 2023: Computer-Aided Diagnosis
Pays/TerritoireÉtats-Unis
La villeSan Diego
période19/02/2323/02/23

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