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| ID | Type | Description | Link |
|---|---|---|---|
| PJT- 186007 | Other Grant/Funding Number | Canadian Institutes of Health Research (CIHR) |
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This study is being done to determine whether MRI can produce high quality lung and airway images in healthy and CF patients and if MRI can be used to evaluate size and shape of the airways with computer assistance. This study will also repeat MRI experiments two years after the initial MRI scan to see if changes to airway size and shape are seen over time. In a subset of participants, we will investigate whether MRI results are repeatable and reproducible in the short-term one week after the initial MRI visit. This study will help understand if MRI based measurements of airway size and shape can be used as a monitoring tool that does not use x-ray radiation in patients with CF.
Early CF disease in the lungs is characterized by repeated infection which can alter dimensions of the airways , especially abnormal dilation of the airways (bronchiectasis) Airway tree mapping is a form of quantitative imaging that investigates segmentation and dimensionality of the upper airways. CT detects utilized to characterize airway dimension in adults with COPD, but involves ionizing radiation. Unexplored in children.
MRI: Non-invasive, radiation-free, ideal for longitudinal monitoring. However, struggles with lung imaging due to low signal intensity, short T2 relaxation times, and motion artifacts Advanced ultrashort echo time (UTE) MRI enables high-resolution airway imaging with motion correction for free-breathing airway imaging. May permit airway tree mapping in children while obviating ionizing radiation risk.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Group 1 | Healthy control |
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| Group 2 | CF patients |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Advanced ultrashort echo time (UTE) MRI - Ultrashort echo time (UTE) imaging is a technique that can quickly capture the fast-decaying 1H lung signal. | Device | UTE lung MRI with various parameters will be done to determine optimal image quality for airway segmentation. The average scanning time for each sequence is in the order of 10 minutes. |
| Measure | Description | Time Frame |
|---|---|---|
| Airway Lumen Diameter measured by UTE MRI | Quantitative measurement of airway lumen diameter (millimeters) across airway generations 1-6 using UTE MRI airway tree segmentation. | Baseline (Visit 1A); Optional 1-week repeatability visit (Visit 1B) & 2-year follow-up (Visit 2A) |
| Measure | Description | Time Frame |
|---|---|---|
| Lung Clearance Index (LCI) | LCI measured with nitrogen Multiple Breath Washout (MBW). | Baseline (Visit 1A); Optional 1-week repeatability visit (Visit 1B) & 2-year follow-up (Visit 2A) |
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Group 1
Inclusion Criteria:
Exclusion Criteria:
Group 2 Inclusion Criteria
Exclusion Criteria
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Study conducted at The Hospital for Sick Children in Toronto, Canada. CF participants recruited through clinic. Controls selected from general population.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Sharon Braganza, MSc, CCRP | Contact | (416) 813-7654 | 307937 | sharon.braganza@sickkids.ca |
| Sheryl Hewko, MSc, RN | Contact | 416-813-7865 | sheryl.hewko@sickkids.ca |
| Name | Affiliation | Role |
|---|---|---|
| Brandon Zanette, PhD | The Hospital for Sick Children | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Hospital for Sick Children | Toronto | Ontario | Canada |
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| Multiple Breath Wash out (MBW) | Device | Lung clearance index (LCI) will be determined by nitrogen multiple breath washout using the Exhalyzer D for measurement of inert gas washout. LCI measures will be taken in triplicate to ensure reproducibility. |
|
| ID | Term |
|---|---|
| D003550 | Cystic Fibrosis |
| ID | Term |
|---|---|
| D010182 | Pancreatic Diseases |
| D004066 | Digestive System Diseases |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D030342 | Genetic Diseases, Inborn |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
| D007232 | Infant, Newborn, Diseases |
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