Status:

UNKNOWN

Lung Nodule Characterization by Artificial Intelligence Techniques

Lead Sponsor:

University Hospital, Strasbourg, France

Conditions:

Incidental Lung Nodule

Eligibility:

All Genders

18+ years

Brief Summary

Management of incidental lung nodule is difficult and mainly based on simple morphometric characteristics such as maximum size and shape. Radiomics could play a role in simplifying this management by ...

Eligibility Criteria

Inclusion

  • Adult patient (at least 18 years old);
  • With a chest CT acquired between Jan 1 2012 and Oct 1 2018 at the Strasbourg University Hospital;
  • CT being available over the PACS and exhibiting at least one lung nodule;
  • Patient having given its authorization for the exploitation of his medical data for this research.

Exclusion

  • Patient having expressed direct opposition to participation in this study;
  • Patient under juridical protection;
  • Patient under tutelage or guardianship.

Key Trial Info

Start Date :

March 12 2019

Trial Type :

OBSERVATIONAL

Allocation :

ESTIMATED

End Date :

March 1 2021

Estimated Enrollment :

50 Patients enrolled

Trial Details

Trial ID

NCT03843164

Start Date

March 12 2019

End Date

March 1 2021

Last Update

April 4 2019

Active Locations (1)

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Page 1 of 1 (1 locations)

1

Service de Radiologie B - NHC

Strasbourg, France, 67091

Lung Nodule Characterization by Artificial Intelligence Techniques | DecenTrialz