RecruitingPhase 4NCT05463913

Lung Nodule Detection Using Ultra-long FOV PET/CT

Ultra-long Field-Of-View Positron Emission Tomography for Characterization of Indeterminate Lung Nodules: a Pilot Study Exploring Opportunities for Clinical Research

Sponsor

University Medical Center Groningen

Enrollment

20 participants

Start Date

Jul 13, 2022

Study Type

INTERVENTIONAL

Conditions

Lung Cancer

Summary

Indeterminate lung nodules (6-15mm) are frequent findings in patients undergoing chest CT scanning, but adequate follow-up imaging is currently not in place to facilitate early detection, diagnosis and decision making regarding treatment. The introduction of long Field-Of-View PET/CT scanners could make a difference in this matter due to the substantial increase in sensitivity allowing optimal image quality. Whether this new technology could provide improved detection and follow-up of indeterminate lung nodules is what we aim to explore in this study.

Eligibility

Min Age: 18 YearsMax Age: 100 Years

Plain Language Summary

Simplified for easier understanding

This study is comparing a new type of PET/CT scanner with an extra-long field of view against a standard PET/CT scanner to see which is better at detecting small, indeterminate lung nodules (spots on the lung that may or may not be cancer). The goal is to improve how doctors evaluate these worrying but inconclusive findings. **You may be eligible if...** - You have one or more lung nodules between 6–15 mm that are uncertain on CT scan - You have already been scheduled for a standard PET/CT scan as part of your care - You are also scheduled for a biopsy or surgical removal of the nodule(s) **You may NOT be eligible if...** - You are pregnant or breastfeeding - You have severe claustrophobia - You have received cancer treatment within 2 weeks before the PET scan Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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