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Reports
AI-based multi-modal integration of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients
Nathalie Lassau
1, 2
Samy Ammari
1, 2
Emilie Chouzenoux
3
Hugo Gortais
4
Paul Herent
5
Matthieu Devilder
4
Samer Soliman
4
Olivier Meyrignac
4
Marie-Pauline Talabard
4
Jean-Philippe Lamarque
1, 2
Rémy Dubois
5
Nicolas Loiseau
5
Paul Trichelair
5
Etienne Bendjebbar
5
Gabriel Garcia
2
Corinne Balleyguier
1, 2
Mansouria Merad
6
Annabelle Stoclin
6
Simon Jegou
5
Franck Griscelli
6
Nicolas Tetelboum
2
Yingping Li
1
Sagar Verma
3
Matthieu Terris
3
Tasnim Dardouri
3
Kavya Gupta
3
Ana Neacsu
3
Frank Chemouni
6
Meriem Sefta
5
Paul Jehanno
5
Imad Bousaid
6
Yannick Boursin
6
Emmanuel Planchet
6
Mikael Azoulay
6
Jocelyn Dachary
5
Fabien Brulport
5
Adrián González
5
Olivier Dehaene
5
Jean-Baptiste Schiratti
5
Kathryn Schutte
5
Jean-Christophe Pesquet
3
Hugues Talbot
3
Elodie Pronier
5
Gilles Wainrib
5
Thomas Clozel
5
Fabrice Barlesi
6
Marie-France Bellin
1, 4
Michael Blum
5
3
OPIS - OPtimisation Imagerie et Santé
Inria Saclay - Ile de France, CVN - Centre de vision numérique
Nathalie Lassau 1, 2
Author
Samy Ammari 1, 2
Author
Emilie Chouzenoux 3
Mail : Site :
Author IdHAL : emilie-chouzenoux ORCID : https://orcid.org/0000-0003-3631-6093
Hugo Gortais 4
Author
Paul Herent 5
Author
Matthieu Devilder 4
Author
Samer Soliman 4
Mail :
Author
Olivier Meyrignac 4
Author
Marie-Pauline Talabard 4
Author
Jean-Philippe Lamarque 1, 2
Author
Rémy Dubois 5
Mail :
Author
Nicolas Loiseau 5
Mail :
Author IdHAL : nicolas-loiseau ORCID : https://orcid.org/0000-0003-3783-0879
Paul Trichelair 5
Author
Etienne Bendjebbar 5
Author
Gabriel C Garcia 2
Author
Corinne Balleyguier 1, 2
Author
Emmanuel Planchet 6
Author
Mikael Azoulay 6
Author
Jocelyn Dachary 5
Author
Fabien Brulport 5
Author
Adrián González 5
Author
Olivier Dehaene 5
Author
Jean-Baptiste Schiratti 5
Mail :
Author IdHAL : jean-baptiste-schiratti ORCID : https://orcid.org/0000-0002-8797-1146
Kathryn Schutte 5
Author
Jean-Christophe Pesquet 3
Mail :
Author IdHAL : jean-christophe-pesquet
Hugues Talbot 3
Mail :
Author IdHAL : hugues-talbot arXiv : https://arxiv.org/a/hugues_talbot ORCID : https://orcid.org/0000-0002-2179-3498
Elodie Pronier 5
Author
Gilles Wainrib 5
Author
Thomas Clozel 5
Author
Fabrice Barlesi 6
Author
Marie-France Bellin 1, 4
Author
Michael G B Blum 5
Mail :
Author
1
BIOMAPS - Unité BioMaps (CEA - Service Hospitalier Frédéric Joliot . 4, place du Général Leclerc 91401 Orsay Cedex - France)
- SHFJ - Service Hospitalier Frédéric Joliot : DRF/JOLIOT/SHFJ (France)
- DRF (CEA) - Direction de Recherche Fondamentale (CEA) : DRF/JOLIOT (Direction de Recherche Fondamentale
Fundamental Research Division
CEA Saclay
91191 Gif-sur-Yvette
- France)
- CEA - Commissariat à l'énergie atomique et aux énergies alternatives (Centre de Saclay Centre de Grenoble Centre de Cadarache etc - France)
- Université Paris-Saclay (Espace Technologique, Bat. Discovery - RD 128 - 2e ét., 91190 Saint-Aubin - France)
- DRF (CEA) - Direction de Recherche Fondamentale (CEA) : DRF/JOLIOT (Direction de Recherche Fondamentale
Fundamental Research Division
CEA Saclay
91191 Gif-sur-Yvette
- France)
2
Département d'imagerie médicale [Gustave Roussy] (France)
- IGR - Institut Gustave Roussy (114, rue Édouard-Vaillant 94805 Villejuif Cedex -France - France)
3
OPIS - OPtimisation Imagerie et Santé (France)
- Inria Saclay - Ile de France (1 rue Honoré d'Estienne d'Orves
Bâtiment Alan Turing
Campus de l'École Polytechnique
91120 Palaiseau - France)
- Inria - Institut National de Recherche en Informatique et en Automatique (Domaine de Voluceau Rocquencourt - BP 105 78153 Le Chesnay Cedex - France)
- CVN - Centre de vision numérique (CentraleSupélec - Bâtiment Bouygues - 3 rue Joliot Curie - 91190 GIF-SUR-YVETTE - France)
- Inria - Institut National de Recherche en Informatique et en Automatique (Domaine de Voluceau Rocquencourt - BP 105 78153 Le Chesnay Cedex - France)
- CentraleSupélec (3, rue Joliot Curie, Plateau de Moulon, 91192 GIF-SUR-YVETTE Cedex - France)
4
AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre) (78 Rue du Général Leclerc 94270 Le Kremlin-Bicêtre - France)
5
Owkin France (75 Rue de Turbigo, 75003 Paris - United States)
6
IGR - Institut Gustave Roussy (114, rue Édouard-Vaillant 94805 Villejuif Cedex -France - France)
Abstract : With 15% of severe cases among hospitalized patients, the SARS-COV-2 pandemic has put tremendous pressure on Intensive Care Units, and made the identification of early predictors of future severity a public health priority. We collected clinical and biological data, as well as CT scan images and radiology reports from 1,003 coronavirus-infected patients from two French hospitals. Radiologists' manual CT annotations were also available. We first identified 11 clinical variables and 3 types of radiologist-reported features significantly associated with prognosis. Next, focusing on the CT images, we trained deep learning models to automatically segment the scans and reproduce radiologists' annotations. We also built CT image-based deep learning models that predicted future severity better than models based on the radiologists' scan reports. Finally, we showed that including CT scan features alongside the clinical and biological data yielded more accurate predictions than using clinical and biological data alone. These findings show that CT scans provide insightful early predictors of future severity.
Complete list of metadatas
https://hal.archives-ouvertes.fr/hal-02586111
Contributor : Emilie Chouzenoux <>
Submitted on : Monday, May 18, 2020 - 11:48:24 AM
Last modification on : Wednesday, May 20, 2020 - 1:02:37 AM
Contributor : Emilie Chouzenoux <>
Submitted on : Monday, May 18, 2020 - 11:48:24 AM
Last modification on : Wednesday, May 20, 2020 - 1:02:37 AM
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ScancovIA_withsuppmat (1).pdf
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- HAL Id : hal-02586111, version 2
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Citation
Nathalie Lassau, Samy Ammari, Emilie Chouzenoux, Hugo Gortais, Paul Herent, et al.. AI-based multi-modal integration of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients. [Research Report] Inria Saclay Ile de France. 2020. ⟨hal-02586111v2⟩
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