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| ID | Type | Description | Link |
|---|---|---|---|
| 2022-502512-36-00 | Other Identifier | European Medicines Agency (EU CT) | |
| U1111-1284-7436 | Registry Identifier | Universal Trial Number (WHO) |
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| Name | Class |
|---|---|
| Aarhus University Hospital | OTHER |
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This project aims to investigate the potential of non-invasive imaging to identify and monitor the earliest signs and physiological effects of pulmonary fibrosis and resulting cardiac dysfunction in patients with fibrosing interstitial lung disease. Second, to evaluate baseline risk factors the progression and therapeutic responses to anti-fibrotic drugs.
Fibrosing interstitial lung diseases (F-ILD) represent a heterogeneous disease category involving several disease entities with different clinical, radiological, and histological characteristics. The common denominator for F-ILD patients is similarities regarding development of scarring of the lungs. Idiopathic pulmonary fibrosis (IPF) is the prototype, and all patients will eventually suffer from irreversible progression. In other type of F-ILD, a proportion of patients will also develop symptom worsening, treatment resistance towards immunomodulatory therapy, a decline in lung physiological parameters, worsening of radiologic findings and irreversible self-sustaining progression of pulmonary fibrosis i.e., a phenotype of progressive pulmonary fibrosis (PPF), defined by worsening of symptoms, lung physiology and radiology within 12 months Chest High Resolution Computed Tomography (HRCT) is considered the golden standard to diagnose and quantify the type and extent of pulmonary fibrosis. Extent of fibrosis and specific features like traction bronchiectasis and honeycombing seem in some disease to be associated with a worse outcome. However, findings do not always correspond to disease severity or disease course, and at later stages, HRCT is limited in proving the progression of the disease. Identifying progression is currently based on a decrease in forced vital capacity (FVC), diffusing capacity for carbon monoxide (DLCO), worsening of symptoms or progression of radiologic features (Table 1). Identification of radiologic biomarkers for progression will allow to better support treatment decisions and inform patients. Patients with F-ILD often suffer from a high burden of comorbidities, including ischemic heart disease, congestive heart failure, and pulmonary hypertension. It is currently unknown if these is solely associated to common risk factors like smoking and age, or could be due to fibrosis developing in the myocardium. Furthermore, it is not well described if the development of a restrictive lung physiology plays a role and affects cardiac physiology.
This study proposes that MR (magnetic resonance) Imaging with hyperpolarized 129Xenon will be able to detect subtle, regional dysfunction of the gas exchange of the lungs in patients with F-ILDs at a higher level of sensitivity than currently applied techniques. Utilizing the improved sensitivity of the hyperpolarized xenon MRI the study aims to improve the diagnostic distinction between the different subtypes of F-ILDs and additionally point-out MR biomarkers to be assess F-ILD severity, progression, and potential treatment response. Simultaneously with the hyperpolarized 129Xe scans, imaging of myocardial strain and ejection fraction is performed. In addition, a Gadolinium Based Contrast Agent (GBCA) is administered to evaluate the degree of myocardial fibrous tissue and lung perfusion. Thus, the impact of thoracic restrictive physiology on the heart can be detected and quantified.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Hyperpolarized xenon-129 MRI | Diagnostic Test | Participants will be asked to inhale the xenon-129 contrast agent according to procedure for gas administration. The success criterion of the drug is a obtained Xe MRI lung image with reasonable signal level |
| Measure | Description | Time Frame |
|---|---|---|
| Xenon gas transfer | Gas transfer across the lung barrier measured using dissolved phase Xe-129 gas MRI spectroscopy. From this measure we expect to see an increase in the tissue signal and a decrease in the blood signal as a measure of IPF disease activity. We expect the change in ratio to be more than 10% when comparing baseline results to follow-up at subject level. Results will be compared to clinical outcome measures of progression (outcome 2) | 12 months |
| Individual clinical progression in the study period (progressors and non-progressors) | Current accepted criteria for progression of fibrosing interstitial lung diseases (at least 2 of 3):
| 12 months |
| Measure | Description | Time Frame |
|---|---|---|
| Pulmonary perfusion | Regionally decreased pulmonary perfusion in ml/g/min measured by gadolinium enhanced MRI | 12 months |
| Myocardial strain | Evidence of myocardial strain measured by relative myocardial deformation through the cardiac cycle in percentage with CINE MRI |
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Inclusion Criteria:
Exclusion Criteria:
Contraindications for MRI:
Contraindications to gadolinium contrast
Overlapping emphysemic disease where the emphysema-component outweighs the fibrosis
Unable to perform breath-hold of minimum 20 seconds.
Allergy to Xenon
Breast feeding
Evidence of ongoing respiratory infections at time of MR examinations
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Patients who have recently recieved a diagnosis of progressive fibrosing interstial lung disease and are expected to recieve antifibrotic therapy
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| Name | Affiliation | Role |
|---|---|---|
| Elisabeth Bendstrup, Professor | Aarhus University Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Aarhus University, Department of Clinical Medicine, MR Research Centre | Aarhus | 8200 | Denmark |
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| 12 months |
| Fibrous tissue formation | Formation of fibrotic tissue measured with late-contrast enhancement and evaluated as MRI signal intensity changes before and after intravenous gadolinium injection. | 12 months |
| Xenon ventilation distribution | Ventilation defect is measured by xenon gas distribution in the lungs. Ventilation defect percentage is quantified by xenon MRI signal divided by whole lung volume. | 12 months |
| Xenon gas diffusion | The diffusion of xenon gas in the alveoli. Gas diffusion is measured with diffusion-weighted xenon MRI as gas-molecule speed (cm/s) | 12 months |