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Detection and Volumetry of Pulmonary Nodules on Ultra-low Dose Chest CT Scan With Deeplearning Image Reconstruction Algorithm (DLIR)

NCT04482114 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 70

Last updated 2023-03-22

No results posted yet for this study

Summary

evaluate the diagnostic performance of ultra-low dose CT using deep learning-based reconstruction in the detection of pulmonary nodules.

Conditions

  • Pulmonary Nodules, Multiple

Interventions

RADIATION

ULD CT

All the examinations are part of the routine care. Addition of the ULD CT protocol does not require injection of contrast agent and does not extend the duration of the examination.

Sponsors & Collaborators

  • Centre Hospitalier Universitaire, Amiens

    lead OTHER

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-07-22
Primary Completion
2022-07-01
Completion
2023-07-31

Countries

  • France

Study Locations

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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 NCT04482114 on ClinicalTrials.gov