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NCT04355507: STOIC

Computed Tomography for COVID-19 Diagnosis

Completed Last updated 21 January 2026
What this trial tests

trial testing Chest computed tomography (CT) in COVID-19 in 10,735 participants. Completed in 16 October 2020.

Timeline
1 March 2020
Primary endpoint
16 October 2020
16 October 2020

Quick facts

Lead sponsorAssistance Publique - Hôpitaux de Paris
StatusCompleted
Study typeOBSERVATIONAL
Enrollment10,735
Start date1 March 2020
Primary completion16 October 2020
Estimated completion16 October 2020
Sites1 location across France

Drugs / interventions tested

Conditions studied

Sponsor

Assistance Publique - Hôpitaux de Paris — full company profile →

Who can join

18 and older, any sex, with COVID-19. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The purpose of this study is to build a large dataset of Computed Tomography (CT) images for identification of accurate CT criteria and development of deep learning-based solutions for diagnosis, quantification and prognostic estimation.

Publications & conference data

2 peer-reviewed publications reference this trial (live from Europe PMC):

  1. Study of Thoracic CT in COVID-19: The STOIC Project.
    Revel MP, Boussouar S, de Margerie-Mellon C, Saab I, et al · · 2021 · cited 26× · PMID 34184935 · DOI 10.1148/radiol.2021210384
  2. The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
    Boulogne LH, Lorenz J, Kienzle D, Schon R, et al · · 2023

Verify or expand the search:

Other recruiting trials for COVID-19

Currently open trials in the same condition.

Other Assistance Publique - Hôpitaux de Paris trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04355507.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing