Detection and Volumetry of Pulmonary Nodules on Ultra-low Dose Chest CT Scan With Deeplearning Im… (NCT04482114) | Clinical Trial Compass
CompletedNot Applicable
Detection and Volumetry of Pulmonary Nodules on Ultra-low Dose Chest CT Scan With Deeplearning Image Reconstruction Algorithm (DLIR)
France70 participantsStarted 2020-07-22
Plain-language summary
evaluate the diagnostic performance of ultra-low dose CT using deep learning-based reconstruction in the detection of pulmonary nodules.
Who can participate
Age range
18 Years
Sex
ALL
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* Age ≥ 18 years old,
* Patient referred for non-enhanced chest CT for lung nodule check-up or follow-up,
* Affiliation to a social security program,
* Ability of the subject to understand and express opposition
Exclusion Criteria:
* Age \<18 years old,
* Person under guardianship or curatorship,
* Pregnant woman,
* Any contraindications to CT
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1This trial tested an ultra-low dose CT scan approach for detecting lung nodules — how does the radiation exposure in this type of scan compare to the standard CT scans I'm already getting, and could a lower-dose option be relevant for my situation?
2The study used a deep learning image reconstruction algorithm called DLIR to improve image quality — has my radiology team adopted this kind of AI-assisted technology yet, and would it change how accurately my nodules are measured?
3Since this trial was focused on measuring diagnostic accuracy, what does that mean for me practically — could there be differences in how well my nodules are detected depending on which scanning method or algorithm is used?
4This trial has already been completed — has my doctor seen or reviewed any published results from it, and do those findings suggest that ultra-low dose CT with deep learning reconstruction is reliable enough to use in routine care for someone with my type of nodules?
5If ultra-low dose CT with AI reconstruction is more accurate at tracking nodule size over time, would switching to this approach affect the way my nodules are currently being monitored, and is that a conversation worth having with my radiologist?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.