Clin2
NCT05968898Possibly a fitRecruiting

Computer helps analyze lung nodules on CT scans

Lung CancerPulmonary Nodule, Solitary

Part of Cancer, Lungs & breathing clinical trials.

This study tests a computer tool that uses patterns from your chest CT scan to help assess an unclear lung nodule. It may help doctors decide which nodules need closer attention.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
300 people
Ages
35 years to 89 years
Study type
Interventional

Who can take part

  • You are between 35 and 89 years old
  • You are scheduled for evaluation at a UPHS pulmonary nodule (PN) clinic
  • Your CT within the last 60 days found one indeterminate solid or part-solid lung nodule sized 8–30 mm
  • Your CT images must be usable by the study’s computer software
  • There must be no large swollen lymph nodes seen on your CT (over 10 mm on a specific measurement)

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT05389774Recruiting
Testing an AI tool that predicts lung cancer risk from CT scans

This study tests whether Optellum’s AI prediction tool can better identify which lung nodules found on CT scans are more likely to be cancer. You may be asked to provide specific types of CT images so the tool can be evaluated.

Bangor
NCT06778512Recruiting
Lung nodule study: using CT scans and breathing tests

This study looks at lung nodules found on CT scans. Researchers will collect data from your breathing tests and CT scans to better understand how these nodules relate to lung cancer.

Guangzhou, Guangdong
NCT07370077Recruiting
Early screening for lung nodules with breath, blood, and CT scans

This trial uses a new, non-invasive way to screen for lung cancer by combining your breath, blood, and CT scan images. The goal is to figure out whether a nodule found on a CT scan is cancerous or not, which could help patients avoid unnecessary procedures.

Beijing, Beijing Municipality
NCT06685458Not yet recruiting
Predicting if a lung nodule is cancer using CT scans

This study uses CT scans and medical records to build a model that helps tell the difference between benign (non-cancerous) and malignant (cancerous) solid lung nodules. It aims to improve diagnosis and reduce unnecessary surgeries.

NCT05375591Recruiting
AI study to sort lung nodules after past cancer treatment

This study uses computer tools (AI) and detailed scan patterns to better classify new lung nodules in people who previously had curative-intent cancer treatment. It may help doctors decide whether a nodule is likely benign or cancer, using your CT scan and related medical history.

London
NCT04049422Not yet recruiting
Study for adults with lung nodules on CT

This study follows adults who have a lung nodule seen on a CT scan that looks more concerning based on lung screening scoring. It may help doctors understand which nodules are most likely to be cancer and how to track them safely over time.

Hear when a new Lung cancer trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.