| Autor: |
David J, Roach, Matthew M, Willmering, Joseph W, Plummer, Laura L, Walkup, Yin, Zhang, Md Monir, Hossain, Zackary I, Cleveland, Jason C, Woods |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Acad Radiol |
| ISSN: |
1878-4046 |
| Popis: |
RATIONALE: There is no agreed upon method for quantifying ventilation defect percentage (VDP) with high sensitivity and specificity from hyperpolarized (HP) gas ventilation MR images in multiple pulmonary diseases for both pediatrics and adults, yet identifying such methods will be necessary for future multi-site trials. Most HP gas MRI ventilation research focuses on a specific pulmonary disease and utilizes one quantification scheme for determining VDP. Here we sought to determine the potential of different methods for quantifying VDP from HP (129)Xe images in multiple pulmonary diseases through comparison of the most utilized quantification schemes: linear binning and thresholding. MATERIALS AND METHODS: HP (129)Xe MRI was performed in a total of 176 pediatric (n=125) and adult (51) subjects (age 20.98±16.48 years) who were either healthy controls (n=23) or clinically diagnosed with cystic fibrosis (CF) (n=37), lymphangioleiomyomatosis (LAM) (n=29), asthma (n=22), systemic juvenile idiopathic arthritis (sJIA) (n=11), interstitial lung disease (ILD) (n=7), or were bone marrow transplant (BMT) recipients (n=47). HP (129)Xe ventilation images were acquired during a ≤16 second breath-hold using a 2D multi-slice gradient echo sequence on a 3T Philips scanner (TR/TE 8.0/4.0ms, FA 10–12°, FOV 300×300mm, voxel size≈3×3×15mm). Images were analyzed using four different methods to quantify VDPs: linear binning (histogram normalization with binning into 6 clusters) following either linear or a variant of a nonparametric nonuniform intensity normalization algorithm (N4ITK) rf-bias correction, thresholding ≤60% of the mean signal intensity with linear rf-bias-correction, and thresholding ≤60% and ≤75% of the mean signal intensity following N4ITK rf-bias-correction. Spirometry was successfully obtained in 84% of subjects. RESULTS: All quantification schemes were able to label visually identifiable ventilation defects in similar regions within all subjects. The VDPs of control subjects were significantly lower (P |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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