MedTrace Logo

Lung Nodule Characterization by Artificial Intelligence Techniques

NCT03843164 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 50

Last updated 2019-04-04

No results posted yet for this study

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 orientating towards a benign or a malignant origin, by comparing advanced characteristics to a large database of lung nodules.

The primary purpose is to evaluate the performances of a novel tool based on radiomics to characterize incidental lung nodules, discovered on computed tomography.

The secondary objectives are:

* to evaluate the variation in the performances of the software based on various technical aspects of the CT, such as radiation dose, reconstruction algorithm, type of scanner,…
* to compare the performances of this software to those of expert readers,
* to analyze the potential impact of this software on patient's management.

Conditions

  • Incidental Lung Nodule

Sponsors & Collaborators

  • University Hospital, Strasbourg, France

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2019-03-12
Primary Completion
2021-03-31
Completion
2021-03-31

Countries

  • France

Study Locations

More Related Trials

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 NCT03843164 on ClinicalTrials.gov