Clinical trial Recruiting at 10 sites Observational Ages 35 and up

Evaluating an AI tool for lung cancer prediction in patients with pulmonary nodules

Official title: DOLCE: Determining the Impact of Optellum's Lung Cancer Prediction (LCP) Artificial Intelligence Solution on Service Utilisation, Health Economics and Patient Outcomes

Run by Nottingham University Hospitals NHS Trust · NCT05389774 · Data updated 2026-11-12

This study is testing whether an AI tool can help doctors better predict lung cancer in patients with certain types of lung nodules found on CT scans.

More Lung Cancer trials

Quick facts

Study typeObservational
Ages35 Years and up
SexAll
Enrollment2000 (estimated)
SponsorNottingham University Hospitals NHS Trust
Academic / other
Locations10 sites (Bangor and 9 other locations)
StatusRecruiting
StartedMarch 23, 2023
Main results expectedAugust 2025
Study endsAugust 2025
Registry record updatedApril 8, 2025
Trial IDNCT05389774 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are patients aged 35 years or older with incidentally detected solid or part-solid pulmonary nodules measuring 5-30mm.

Probably not a fit

Patients with a cancer diagnosis in the last 5 years or those with thoracic implants affecting imaging will not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational cohort study aims to recruit patients aged 35 and older who have solid or part-solid pulmonary nodules detected on CT scans. The focus is on assessing whether the use of an AI-based lung cancer prediction tool improves clinical decision-making and health-economic outcomes compared to the current standard of care. Patients with nodules measuring between 5-30mm will be included, and the study will take place across multiple centers. The goal is to gather data on the effectiveness of this AI solution in managing lung cancer risks.

Why it matters

Potential benefit: If successful, this study could enhance the accuracy of lung cancer predictions, leading to better patient outcomes and more efficient healthcare resource utilization.

How similar studies have gone: Other studies utilizing AI for lung cancer prediction have shown promising results, indicating potential for success in this approach.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

Patients are eligible for the study if all of the following apply:

* Are aged 35 years or above
* Have baseline CT study with at least one incidentally detected solid or part-solid (must have a solid component \>=80%) pulmonary nodule that:

  * is not fully calcified
  * Is 5-30mm inclusive in maximum axial diameter for the whole lesion measured using manual electronic callipers
* Have baseline CT study that includes at least one series that meets all of the following (training for this will be provided):

  * Is of a type that meets VNC instructions for use
  * Comprises at least one full-inspiration breath-hold scans without a high degree of contrast media and does not exhibit quality issues (e.g., motion artefacts)

Exclusion Criteria:

Patients will be excluded from the study if any of the following apply:

* Have received a diagnosis for cancer in the last 5 years
* Have thoracic implants that impact the image appearance of the nodule
* Have more than five reported pulmonary nodules of any size or type excluding fully calcified nodules (this criterion is used as a proxy due to the risk of being an infection or metastasis)
* Have one or more additional nodules where any of the following applies:

  * Are already undergoing follow-up according to pulmonary nodule management standard care
  * Pure ground glass opacity (GGO) of \>=5mm in maximum axial diameter for the whole lesion measured using manual electronic callipers
  * \>30mm in maximum axial diameter for the whole lesion measured using manual electronic callipers

Where it's running

  • Betsi Cadwaladr University Health Board
    Bangor, United Kingdom
    Recruiting
  • Frimley Health NHS Foundation Trust (Wexham Park Hospital)
    Frimley, United Kingdom
    Recruiting
  • Leeds Teaching Hospitals NHS Trust
    Leeds, United Kingdom
    Recruiting
  • King's College Hospital NHS Foundation Trust
    London, United Kingdom
    Recruiting
  • Royal Free Hospital
    London, United Kingdom
    Recruiting
  • St. George's University Hospitals NHS Foundation Trust
    London, United Kingdom
    Recruiting
Show 4 more locations
  • The Royal Marsden NHS Foundation Trust
    London, United Kingdom
    Recruiting
  • University College London Hospitals NHS Foundation Trust
    London, United Kingdom
    Recruiting
  • Nottingham University Hospitals NHS Trust
    Nottingham, United Kingdom
    Recruiting
  • Oxford University Hospitals NHS Foundation Trust
    Oxford, United Kingdom
    Recruiting

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

  • Using a nasal swab test to manage patients with pulmonary nodules

    This study is testing if a nasal swab test can help doctors make better decisions for patients with newly found lung nodules, potentially reducing unnecessary procedures for low-risk cases and speeding up treatment for high-risk cases.

    Recruiting at 22 sites Veracyte, Inc. · Hartford, Connecticut and 22 other locations · NCT06426628

  • Using AI to improve diagnosis of lung nodules

    This study is testing if a new computer tool can help doctors better diagnose lung nodules in adults and improve their treatment decisions.

    Recruiting at 3 sites Abramson Cancer Center at Penn Medicine · Philadelphia, Pennsylvania and 2 other locations · NCT05968898

  • ePRO in advanced lung cancer: emotional distress, brain metastasis, and symptom burden

    This study tests how patients with advanced lung cancer—some with brain metastases—report emotional distress and symptoms over time using electronic questionnaires.

    Recruiting Tongji Hospital · Hubei, Wuhan · NCT07912190

  • Urine VOC Test to Detect Lung Cancer in Never Smokers

    A urine test that looks for volatile compounds is tested to see if it can help detect lung cancer in adults who have never smoked.

    Recruiting Thomas Jefferson University · Philadelphia, Pennsylvania · NCT07871656

  • SI-B036 safety test in advanced and metastatic solid tumors

    This early-phase study checks whether SI-B036 is safe and tolerable in adults with advanced or metastatic solid cancers who have had prior therapy.

    Recruiting at 4 sites Phase 1 SystImmune Inc. · New Haven, Connecticut and 6 other locations · NCT07857616

  • Guaraná Supplement for Cancer-Related Fatigue in People Undergoing Treatment

    This study tests whether taking guaraná capsules helps reduce cancer-related fatigue and improve quality of life in adults with breast, lung, colorectal, or gastric cancer who are actively receiving treatment.

    Recruiting Centro de Tratamiento e Investigación sobre Cáncer, Luis Carlos Sarmiento Angulo · Bogotá, Bogota D.C. · NCT07816263

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.