- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03622528
Quantitative Lung Cancer Screening
Precision, Pulmonary Disease Evaluation and Lung Cancer Detection Using Quantitative Low-dose CT
Study Overview
Status
Intervention / Treatment
Detailed Description
The purpose of this project is to validate quantitative lung structure assessment using an automated analysis software (VIDA), for application to low dose computed tomography (LDCT) acquired for lung cancer screening. Currently the software runs on standard dose CT data. In addition, it is the plan to incorporate algorithms into the software to address assessment of any identified pulmonary lesions.
The Lung Cancer Screening Clinic is a new program that screens a group of patients that meet a predetermined criteria, set by the program, for lung cancer. At this time primary care providers, within the UIowa network, have the ability to place an order for this screening process for their patients. The hope is to expand this program to any primary care provider in the future. Clinic staff look over the patients past medical history to determine if they fit the clinic criteria.
For this study, the study team will ask the patients seen in the lung cancer screening clinic at the University of Iowa to undergo an additional standard dose CT scan during that same visit(for comparison/validation of the software performance). For those subjects that agree to participate, the study team will also ask to collect the data and CT scans that were also collected for their clinical Lung Cancer Screening visit. For this group the study team will also ask to collect all medical records associated with nodules found at this Lung Cancer Screening visit.
The study team propose to test the performance of VIDA's existing image analysis tools for the assessment of chronic obstructive pulmonary disease (COPD), when applied to the LDCT data acquired for lung cancer screening. The study team will also develop new lung nodule evaluation functions to specifically address the clinical needs within the at-risk lung cancer patient population.
To carry out the work, the study team propose two specific aims:
- Validate VIDA's quantitative computed tomography (QCT) metrics for COPD and emphysema utilizing the lung cancer LDCT screening cohort as compared to the standard quantitative high resolution computed tomography (HRCT) scanning protocol. With collaboration between the University of Iowa and VIDA, the study team will establish a tightly controlled, CT data acquisition protocol in our local lung cancer screening program. Data collected will incorporate thin-slice and iterative reconstructions, breath coaching to target lung inflation levels for patients and HRCT data acquisition in a sub-cohort. The VIDA analysis will be refined and the appropriate reconstruction setting identified such that the outputs from the LDCT data correlate to the HRCT (current standard) outputs.
- Complete and refine development of VIDA's novel lung nodule segmentation algorithm for solid and non-solid nodules using the standardized lung cancer LDCT screening protocol. Automated nodule segmentation in CT scans is challenging due to border ambiguity with neighboring structures (such as vessels and the pleura), poor boundary contrast of more subtle nodules, and noise associated with LDCT. The study team will develop a novel method that robustly segments pulmonary lesions by allowing mutual interaction between the nodules and surrounding structures, leading to a highly accurate segmentation with less manual corrective actions for a high volume lung cancer screening workflow.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Jessica Sieren, PhD
- Phone Number: 319-353-8862
- Email: jessica-sieren@uiowa.edu
Study Contact Backup
- Name: Debra OConnell Moore, MBA
- Phone Number: 319-356-1693
- Email: debra-oconnell-moore@uiowa.edu
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Subjects that meet the clinical Lung Cancer Screening guidelines and participate in that clinical screening.
Exclusion Criteria:
- Subjects that do not meet the clinical Lung Cancer Screening guidelines.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
Lung Cancer Screening Cohort
Patients who are seen in the UIHC lung cancer screening clinic will be asked to undergo an additional standard chest CT scan during their UIHC clinical lung cancer screening CT scan.
Additionally, data from that clinical scan and all medical records associated with nodules that were discovered by the Lung Cancer Screening, will also be collected.
|
Standard dose chest CT scan
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Segmental Airway Branch Differences
Time Frame: 1 day of Study Visit
|
Segmental airway branch differences will be measured by comparing the clinical low dose chest CT scan and the standard dose chest CT scan.
|
1 day of Study Visit
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Jessica Sieren, PhD, University of Iowa
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 201603824
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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