دورية أكاديمية
أعرض في EDS

Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients.

التفاصيل البيبلوغرافية
العنوان: Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients.
المؤلفون: Lassau N; Imaging Department, Gustave Roussy, Université Paris -Saclay, Villejuif, 94805, France.; Biomaps, UMR 1281 INSERM, CEA, CNRS, Université Paris-Saclay, Villejuif, 94805, France., Ammari S; Imaging Department, Gustave Roussy, Université Paris -Saclay, Villejuif, 94805, France.; Biomaps, UMR 1281 INSERM, CEA, CNRS, Université Paris-Saclay, Villejuif, 94805, France., Chouzenoux E; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Gortais H; Radiology Department, Hôpital de Bicêtre - AP-HP, Université Paris-Saclay, Le Kremlin-Bicêtre, France., Herent P; Owkin Lab, Owkin, Inc, New York, NY, USA., Devilder M; Radiology Department, Hôpital de Bicêtre - AP-HP, Université Paris-Saclay, Le Kremlin-Bicêtre, France., Soliman S; Radiology Department, Hôpital de Bicêtre - AP-HP, Université Paris-Saclay, Le Kremlin-Bicêtre, France., Meyrignac O; Radiology Department, Hôpital de Bicêtre - AP-HP, Université Paris-Saclay, Le Kremlin-Bicêtre, France., Talabard MP; Radiology Department, Hôpital de Bicêtre - AP-HP, Université Paris-Saclay, Le Kremlin-Bicêtre, France., Lamarque JP; Imaging Department, Gustave Roussy, Université Paris -Saclay, Villejuif, 94805, France.; Biomaps, UMR 1281 INSERM, CEA, CNRS, Université Paris-Saclay, Villejuif, 94805, France., Dubois R; Owkin Lab, Owkin, Inc, New York, NY, USA., Loiseau N; Owkin Lab, Owkin, Inc, New York, NY, USA., Trichelair P; Owkin Lab, Owkin, Inc, New York, NY, USA., Bendjebbar E; Owkin Lab, Owkin, Inc, New York, NY, USA., Garcia G; Imaging Department, Gustave Roussy, Université Paris -Saclay, Villejuif, 94805, France., Balleyguier C; Imaging Department, Gustave Roussy, Université Paris -Saclay, Villejuif, 94805, France.; Biomaps, UMR 1281 INSERM, CEA, CNRS, Université Paris-Saclay, Villejuif, 94805, France., Merad M; Département Interdisciplinaire d'Organisation des Parcours Patients, Gustave Roussy, Université Paris-Saclay, Villejuif, 94805, France., Stoclin A; Département Interdisciplinaire d'Organisation des Parcours Patients, Gustave Roussy, Université Paris-Saclay, Villejuif, 94805, France., Jegou S; Owkin Lab, Owkin, Inc, New York, NY, USA., Griscelli F; Département de Biologie, Gustave Roussy, Université Paris-Saclay, Villejuif, 94805, France., Tetelboum N; Imaging Department, Gustave Roussy, Université Paris -Saclay, Villejuif, 94805, France., Li Y; Biomaps, UMR 1281 INSERM, CEA, CNRS, Université Paris-Saclay, Villejuif, 94805, France.; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Verma S; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Terris M; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Dardouri T; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Gupta K; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Neacsu A; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Chemouni F; Département Interdisciplinaire d'Organisation des Parcours Patients, Gustave Roussy, Université Paris-Saclay, Villejuif, 94805, France., Sefta M; Owkin Lab, Owkin, Inc, New York, NY, USA., Jehanno P; Owkin Lab, Owkin, Inc, New York, NY, USA., Bousaid I; Direction de la Transformation Numérique et des Systèmes d'Information, Gustave Roussy, Université Paris-Saclay, 94805, Villejuif, France., Boursin Y; Direction de la Transformation Numérique et des Systèmes d'Information, Gustave Roussy, Université Paris-Saclay, 94805, Villejuif, France., Planchet E; Direction de la Transformation Numérique et des Systèmes d'Information, Gustave Roussy, Université Paris-Saclay, 94805, Villejuif, France., Azoulay M; Direction de la Transformation Numérique et des Systèmes d'Information, Gustave Roussy, Université Paris-Saclay, 94805, Villejuif, France., Dachary J; Owkin Lab, Owkin, Inc, New York, NY, USA., Brulport F; Owkin Lab, Owkin, Inc, New York, NY, USA., Gonzalez A; Owkin Lab, Owkin, Inc, New York, NY, USA., Dehaene O; Owkin Lab, Owkin, Inc, New York, NY, USA., Schiratti JB; Owkin Lab, Owkin, Inc, New York, NY, USA., Schutte K; Owkin Lab, Owkin, Inc, New York, NY, USA., Pesquet JC; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Talbot H; Centre de Vision Numérique, Université Paris-Saclay, CentraleSupélec, Inria, 91190, Gif-sur-Yvette, France., Pronier E; Owkin Lab, Owkin, Inc, New York, NY, USA., Wainrib G; Owkin Lab, Owkin, Inc, New York, NY, USA., Clozel T; Owkin Lab, Owkin, Inc, New York, NY, USA., Barlesi F; Département d'Oncologie Médicale, Gustave Roussy, Université Paris-Saclay, Villejuif, 94805, France., Bellin MF; Radiology Department, Hôpital de Bicêtre - AP-HP, Université Paris-Saclay, Le Kremlin-Bicêtre, France., Blum MGB; Owkin Lab, Owkin, Inc, New York, NY, USA. michael.blum@owkin.com.
المصدر: Nature communications [Nat Commun] 2021 Jan 27; Vol. 12 (1), pp. 634. Date of Electronic Publication: 2021 Jan 27.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
أسماء مطبوعة: Original Publication: [London] : Nature Pub. Group
مواضيع طبية MeSH: Deep Learning* , Neural Networks, Computer*, COVID-19/*diagnosis , COVID-19/*physiopathology , Tomography, X-Ray Computed/*methods, Artificial Intelligence ; COVID-19/classification ; Humans ; Models, Biological ; Multivariate Analysis ; Prognosis ; Radiologists ; Severity of Illness Index
مستخلص: The SARS-COV-2 pandemic has put pressure on intensive care units, so that identifying predictors of disease severity is a priority. We collect 58 clinical and biological variables, and chest CT scan data, from 1003 coronavirus-infected patients from two French hospitals. We train a deep learning model based on CT scans to predict severity. We then construct the multimodal AI-severity score that includes 5 clinical and biological variables (age, sex, oxygenation, urea, platelet) in addition to the deep learning model. We show that neural network analysis of CT-scans brings unique prognosis information, although it is correlated with other markers of severity (oxygenation, LDH, and CRP) explaining the measurable but limited 0.03 increase of AUC obtained when adding CT-scan information to clinical variables. Here, we show that when comparing AI-severity with 11 existing severity scores, we find significantly improved prognosis performance; AI-severity can therefore rapidly become a reference scoring approach.
References: Diabetes Metab Syndr. 2020 May - Jun;14(3):211-212. (PMID: 32172175)
Invest Radiol. 2020 Jun;55(6):327-331. (PMID: 32118615)
Research (Wash D C). 2020 Apr 19;2020:2402961. (PMID: 32377638)
Eur Radiol. 2020 Aug;30(8):4381-4389. (PMID: 32193638)
Cell. 2020 Jun 11;181(6):1423-1433.e11. (PMID: 32416069)
PLoS One. 2020 Mar 19;15(3):e0230548. (PMID: 32191764)
Lancet Oncol. 2020 Mar;21(3):335-337. (PMID: 32066541)
Radiol Cardiothorac Imaging. 2020 Mar 30;2(2):e200047. (PMID: 33778560)
Nat Med. 2019 Oct;25(10):1519-1525. (PMID: 31591589)
Cancer Discov. 2020 Jun;10(6):783-791. (PMID: 32345594)
Lancet Respir Med. 2020 Apr;8(4):420-422. (PMID: 32085846)
Pol Arch Intern Med. 2020 Apr 30;130(4):304-309. (PMID: 32231171)
Ann Hematol. 2020 Jun;99(6):1205-1208. (PMID: 32296910)
Clin Chem Lab Med. 2020 Jun 25;58(7):1131-1134. (PMID: 32119647)
Invest Radiol. 2020 Sep;55(9):601-616. (PMID: 32209816)
Eur Radiol. 2020 Aug;30(8):4417-4426. (PMID: 32279115)
JAMA Intern Med. 2020 Aug 1;180(8):1081-1089. (PMID: 32396163)
JAMA. 2020 May 26;323(20):2052-2059. (PMID: 32320003)
Lancet. 2020 Mar 28;395(10229):1054-1062. (PMID: 32171076)
J Allergy Clin Immunol. 2020 Jul;146(1):110-118. (PMID: 32294485)
Radiol Cardiothorac Imaging. 2020 Mar 25;2(2):e200152. (PMID: 33778571)
Thorax. 2003 May;58(5):377-82. (PMID: 12728155)
Eur Radiol. 2020 Nov;30(11):6186-6193. (PMID: 32524220)
Salud Publica Mex. 2020 Dec 22;63(1, ene-feb):1-11. (PMID: 33021362)
Intensive Care Med. 2020 May;46(5):846-848. (PMID: 32125452)
Radiology. 2021 Feb;298(2):E81-E87. (PMID: 32870139)
Int Urol Nephrol. 2020 Jun;52(6):1193-1194. (PMID: 32222883)
BMJ. 2020 Apr 7;369:m1328. (PMID: 32265220)
BMC Med. 2021 Jan 21;19(1):23. (PMID: 33472631)
Scand J Trauma Resusc Emerg Med. 2020 Jul 13;28(1):66. (PMID: 32660623)
Aging (Albany NY). 2020 Apr 8;12(7):6049-6057. (PMID: 32267833)
Crit Care Med. 2020 Aug;48(8):1196-1202. (PMID: 32697491)
Nat Commun. 2020 Jul 15;11(1):3543. (PMID: 32669540)
Nat Commun. 2020 Oct 2;11(1):4968. (PMID: 33009413)
BMC Med. 2019 Dec 16;17(1):230. (PMID: 31842878)
Eur Radiol. 2020 Aug;30(8):4407-4416. (PMID: 32215691)
Clin Infect Dis. 2020 Sep 12;71(6):1393-1399. (PMID: 32271369)
Radiology. 2008 Mar;246(3):697-722. (PMID: 18195376)
Radiology. 2020 Aug;296(2):E86-E96. (PMID: 32301647)
Lancet Respir Med. 2020 May;8(5):506-517. (PMID: 32272080)
AJR Am J Roentgenol. 2020 May;214(5):1072-1077. (PMID: 32125873)
JAMA Intern Med. 2020 Jul 1;180(7):934-943. (PMID: 32167524)
Eur Radiol Exp. 2020 Aug 20;4(1):50. (PMID: 32814998)
Invest Radiol. 2020 Jun;55(6):332-339. (PMID: 32134800)
J Thorac Oncol. 2020 May;15(5):700-704. (PMID: 32114094)
Clin Radiol. 2020 May;75(5):341-347. (PMID: 32216961)
Biometrics. 1988 Sep;44(3):837-45. (PMID: 3203132)
Ann Oncol. 2020 Aug;31(8):1088-1089. (PMID: 32330541)
Invest Radiol. 2020 May;55(5):257-261. (PMID: 32091414)
JAMA. 2020 Jun 2;323(21):2195-2198. (PMID: 32329797)
Mayo Clin Proc. 2020 Jun;95(6):1138-1147. (PMID: 32376101)
BMJ. 2020 Sep 9;370:m3339. (PMID: 32907855)
Eur J Radiol. 2020 May;126:108941. (PMID: 32193037)
J Med Imaging (Bellingham). 2018 Jul;5(3):036501. (PMID: 30035154)
Eur Respir J. 2020 May 7;55(5):. (PMID: 32269088)
BMJ. 2020 May 22;369:m1985. (PMID: 32444460)
تواريخ الأحداث: Date Created: 20210128 Date Completed: 20210201 Latest Revision: 20240806
رمز التحديث: 20240806
مُعرف محوري في PubMed: PMC7840774
DOI: 10.1038/s41467-020-20657-4
PMID: 33504775
قاعدة البيانات: MEDLINE
الوصف
تدمد:2041-1723
DOI:10.1038/s41467-020-20657-4