Making a digital twin of the lung using photon-counting chest CT and clinical data
LUCE: LUng Cancer (r)Evolution
This project will try to use adults' clinical records and non-contrast photon-counting chest CT scans to find lung nodules, tumors, and other lung diseases and to build a virtual 'digital twin' of the lung.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 1000 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Casa di Cura Dott. Pederzoli Academic / other |
| Locations | 1 site (Peschiera del Garda, Verona) |
| Trial ID | NCT07517393 on ClinicalTrials.gov |
What this trial studies
This observational project will collect and analyze past and future clinical, anamnestic, functional, and biological data from adults who undergo non-contrast photon-counting chest CT at the enrolling center. Physicians will decide on contrast use as needed, and enrolled patients will provide written informed consent. Collected data will be processed with artificial intelligence methods to attempt to create a virtual 'digital twin' of the lung and to track suspicious lung changes over time alongside clinical and laboratory parameters. Enrollment will run for 12 months at the single participating site in Peschiera del Garda, Verona.
Who should consider this trial
Good fit: Adults aged 18 or older who are scheduled for a non-contrast photon-counting chest CT at the study site and can give written informed consent are the intended participants.
Not a fit: People who do not have sufficient medical/anamnestic data, who will not undergo photon-counting chest CT, or who seek direct therapeutic treatment are unlikely to gain direct benefit from this observational project.
Why it matters
Potential benefit: If successful, the work could help detect and track lung abnormalities earlier and enable virtual simulations that support safer, more personalized care decisions.
How similar studies have performed: AI-based analysis of CT scans and CT-based nodule detection have shown promise in research settings, but building a clinically useful 'digital twin' of the lung from photon-counting CT remains a novel and largely unproven approach.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Men or women aged ≥ 18 years who will perform a smdc photon count chest CT scan * written informed consent. Exclusion Criteria: * Lack of information regarding anamnestic data * any reason why the investigator deems the patient unenrollable in the practice.
Where this trial is running
Peschiera del Garda, Verona
- Ospedale P. Pederzoli Casa di Cura Privata S.p.A. — Peschiera del Garda, Verona, Italy (Recruiting)
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.