Clinical Trial Details
— Status: Terminated
Administrative data
NCT number |
NCT04119115 |
Other study ID # |
2019-241 |
Secondary ID |
|
Status |
Terminated |
Phase |
|
First received |
|
Last updated |
|
Start date |
September 30, 2021 |
Est. completion date |
October 20, 2022 |
Study information
Verified date |
April 2023 |
Source |
William Beaumont Hospitals |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Observational
|
Clinical Trial Summary
The purpose of this study is to find out if combining a state-of-the-art form imaging
modality with metabolomics in different types of Interstitial Lung Diseases (ILD) patients
compared to controls with chronic obstructive pulmonary disorder (COPD)/emphysema and healthy
controls will be a better predictor of disease progression. ILD's are a group of chronic,
progressive lung diseases. The most common ILD is idiopathic pulmonary fibrosis (IPF).
Metabolomics provides a "snapshot" in time of all metabolites present in a biological sample.
The imaging procedure should take approximately 20 minutes. All study related collections of
samples will be done in a single visit if possible. There are no direct benefits to
participants. This is not a treatment study.
Description:
Interstitial lung diseases (ILD) are a group of chronic, progressive lung disorders. The most
common ILD is idiopathic pulmonary fibrosis (IPF) with an average survival ranging between
2.5-5 years after diagnosis. The term pulmonary fibrosis means scarring of the lung tissue
and is the cause of worsening shortness of breath. IPF can frequently affect the tissue
between the air sacs in the lung called the interstitium and many other areas in lung (blood
vessels and air passage ways). Earlier diagnosis of ILD is a prerequisite for better
long-term outcomes. However, disease detection and assessment of progression are reliant on
many varying host and environmental influences. As a result, patients with ILD are often
misdiagnosed early in the disease process. Moreover, patients diagnosed with ILD have
different disease courses and predicting which patient is at risk of progression is a
challenging problem. Many personalized medicine approaches are being developed but there is a
lack of available biomarkers in clinical practice. Biomarkers comes from a new experimental
technique called metabolomics which is becoming widely used in medicine and biology for
studying living organisms. The method measures the levels of large numbers of naturally
occurring small molecules (called metabolites) that are present in the blood, saliva, breath
and tissues. The pattern, or fingerprint, of metabolites in human samples can be used to
learn about the health of an organism and perhaps allow physicians to diagnose, treat, and
follow the progress of specific diseases. Clinical and functional models lack predictive
ability to detect patients at risk of disease progression. Thus, there is an urgent need to
develop accurate prediction models for disease diagnosis and assess treatment effects.
CT-derived ventilation (CT-V) imaging includes quantitative lung function imaging and lung
compliance imaging. CT-V is a newer image processing based technique that uses mathematical
modeling and scientific computing to gather changes in lung tissue volumes during the
breathing cycle. Beaumont is currently using CT-V for radiotherapy planning. CT-V produces a
full 3D map of ventilation/breathing, has better image resolution, provides pertinent
measurable imaging information, and does not require a contrast agent. Thus, high-resolution
anatomical and functional information can be derived using CT-V.
To better understand the functional and radiographic changes seen in patients with ILD, there
is a need to further examine the downstream changes occurring at the level of proteins and
metabolites. Metabolomics provides a "snapshot" in time of all metabolites present in a
biological sample. Proteins alone or integrated with other systems, is a particularly
informative tool for understanding disease biology in ILD patients.Using an untargeted
metabolomics platform and profiling serum and breathe from the patients will determine if
additional or more robust biomarkers of disease can be identified and, in conjunction with
the assessment of regional ventilation differences through CT-V, will provide a better
insight into disease process and further help with accurate prognostication.
Participants who have consented for the study and have meet all the inclusion criteria and
none of the exclusion criteria will have one full inspiration and expiration CT, and two
4D-CT scans under two different pressures (5 and 10 cm water), except for healthy volunteers.
They will have their breath profiled using Owlstone platform and serum collected for
metabolomics testing within one week period. Participants will be asked to refrain from
smoking one day prior to the study date. All study related sampling will be done in a single
visit if possible and if not possible all study procedures and samples will be collected
within a one week period.
Disease progression will be assessed using chart review over the next 24 months to assess
standard of care pulmonary function evaluation and corresponding CT features respiratory
hospitalizations and mortality.