التفاصيل البيبلوغرافية
| العنوان: |
Contrast agent-free functional magnetic resonance imaging with matrix pencil decomposition to quantify abnormalities in lung perfusion and ventilation in patients with cystic fibrosis |
| المؤلفون: |
Felix Doellinger, Grzegorz Bauman, Jobst Roehmel, Mirjam Stahl, Helena Posch, Ingo G. Steffen, Orso Pusterla, Oliver Bieri, Mark O. Wielpütz, Marcus A. Mall |
| المصدر: |
Frontiers in Medicine, Vol 11 (2024) |
| بيانات النشر: |
Frontiers Media S.A., 2024. |
| سنة النشر: |
2024 |
| المجموعة: |
LCC:Medicine (General) |
| مصطلحات موضوعية: |
magnetic resonance imaging, matrix pencil decomposition, cystic fibrosis, quantitative imaging, functional imaging, Medicine (General), R5-920 |
| الوصف: |
BackgroundPrevious studies showed that contrast-enhanced (CE) morpho-functional magnetic resonance imaging (MRI) detects abnormalities in lung morphology and perfusion in patients with cystic fibrosis (CF). Novel matrix pencil decomposition MRI (MP-MRI) enables quantification of lung perfusion and ventilation without intravenous contrast agent administration.ObjectivesTo compare MP-MRI with established morpho-functional MRI and spirometry in patients with CF.MethodsThirty-nine clinically stable patients with CF (mean age 21.6 ± 10.7 years, range 8–45 years) prospectively underwent morpho-functional MRI including CE perfusion MRI, MP-MRI and spirometry. Two blinded chest radiologists assessed morpho-functional MRI and MP-MRI employing the validated chest MRI score. In addition, MP-MRI data were processed by automated software calculating perfusion defect percentage (QDP) and ventilation defect percentage (VDP).ResultsMP perfusion score and QDP correlated strongly with the CE perfusion score (both r = 0.81; p |
| نوع الوثيقة: |
article |
| وصف الملف: |
electronic resource |
| اللغة: |
English |
| تدمد: |
2296-858X |
| Relation: |
https://www.frontiersin.org/articles/10.3389/fmed.2024.1349466/full; https://doaj.org/toc/2296-858X |
| DOI: |
10.3389/fmed.2024.1349466 |
| URL الوصول: |
https://doaj.org/article/d30e0f3e95134ae39a69e52e8fdb80d0 |
| رقم الانضمام: |
edsdoj.30e0f3e95134ae39a69e52e8fdb80d0 |
| قاعدة البيانات: |
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