Using AI to manage uncertain lung nodules
Official title: Assessing a Biomarker Platform for Stratifying Indeterminate Pulmonary Nodules - The SPOT IT Platform Trial
Run by Vanderbilt-Ingram Cancer Center · NCT06638398 · Data updated 2026-05-14
This study is no longer in our active list. It may have stopped recruiting or finished. The details below are as of 2026-05-14 and are kept for reference. Check ClinicalTrials.gov for its current status, or see similar studies below.
This study is testing if using an AI tool to help assess uncertain lung nodules can improve how doctors manage patients and reduce unnecessary procedures.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 35 Years and up |
| Sex | All |
| Enrollment | 400 (estimated) |
| Sponsor | Vanderbilt-Ingram Cancer Center Academic / other |
| Locations | 1 site (Nashville, Tennessee) |
| Trial ID | NCT06638398 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults aged 35 and older with undiagnosed indeterminate pulmonary nodules measuring 8-30mm.
✕Probably not a fit
Patients with pure ground glass nodules, known active malignancies, or those who are pregnant 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 clinical trial evaluates the effectiveness of a biomarker platform called the Virtual Nodule Clinic for managing indeterminate pulmonary nodules (IPNs). The study compares standard care with the addition of a radiomic prediction score to assess the likelihood of malignancy in lung nodules. Patients will be randomized into two groups: one receiving standard care alone and the other receiving standard care plus the AI-based prediction score. The goal is to determine if the radiomic score can improve patient management and reduce unnecessary procedures.
Why it matters
Potential benefit: If successful, this approach could lead to more accurate management of lung nodules, reducing unnecessary invasive procedures and improving patient outcomes.
How similar studies have gone: Other studies have shown promise in using AI and biomarker platforms for similar applications, suggesting potential for success in this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adults 35-year-old and older with undiagnosed IPN(s) 8-30mm referred for evaluation * Referral includes direct in-basket messages in the electronic healthcare record (EHR) to study providers, telehealth visits or clinic visit * For multiple nodules, we will obtain the score from the dominant or most suspicious nodule based on providers or radiologist impression * Available CT scan with slice thickness of 3 mm or less with the nodule of interest present. Nodules identified during screening low dose computed tomography of the chest (LDCT) that have had a conventional, follow-up CT performed are eligible for inclusion Exclusion Criteria: * Pure ground glass nodule * Patients known to be a prisoners * Patients known to be pregnant * Known active malignancy within the last 5 years at time of enrollment (excluding non-melanoma skin cancers) * More than 5 IPNs present on imaging * Nodules referred after initial LDCT for screening with only one LDCT available. The Lung Cancer Prediction Convolutional Neural Network (LCP CNN) algorithm is not currently validated for screening studies * Thoracic implants that impact the image appearance of the nodule * Clinician determines that use of the LCP CNN model is required or contraindicated for the optimal care of the patient
Where it's running
-
Vanderbilt University/Ingram Cancer Center
Nashville, Tennessee, United States Recruiting
Study contacts
- Principal investigator: Fabien Maldonado, MD — Vanderbilt University/Ingram Cancer Center
- Study coordinator: Vanderbilt-Ingram Services for Timely Access
- Email: cip@vumc.org
- Phone: 800-811-8480
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.