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Segmentation of Structural Abnormalities in Chronic Lung Diseases

NCT04760548 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 800

Last updated 2024-01-05

No results posted yet for this study

Summary

Lung structural abnormalities are complex, time-consuming, and may lack reproducibility to evaluate visually on CT scans. The study's aim is to perform automated recognition of structural abnormalities in CT scans of patients with chronic lung diseases by using dedicated software.

Conditions

Interventions

OTHER

Observational study

Sponsors & Collaborators

  • Institut National de la Santé Et de la Recherche Médicale, France

    collaborator OTHER_GOV

  • Collaborative NOVAA study group

    collaborator UNKNOWN

  • Hôpital Haut Lévêque

    lead OTHER

Principal Investigators

  • Patrick Berger, Pr · Hopital Haut Leveque

Eligibility

Min Age
3 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2008-01-01
Primary Completion
2024-02-17
Completion
2024-02-17

Countries

  • France

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04760548 on ClinicalTrials.gov