Automated MR-based lung volume segmentation in population-based whole-body MR imaging: Correlation with clinical characteristics, pulmonary function testing and obstructive lung disease
| Autor: | Jan Mueller, Christopher L. Schlett, Roberto Lorbeer, Wolfgang G. Kunz, Tatyana Ivanovska, Stefan Karrasch, Holger Schulz, Ricarda von Krüchten, Andreas Pomschar, Annette Peters, Fabian Bamberg |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Male
Spirometry medicine.medical_specialty Vital capacity Vital Capacity 030218 nuclear medicine & medical imaging Pulmonary function testing Pulmonary Disease Chronic Obstructive 03 medical and health sciences FEV1/FVC ratio 0302 clinical medicine Functional residual capacity Magnetic Resonance Imaging Whole-body Imaging Computer-assisted Image Analysis Pulmonary Function Test Obstructive Lung Disease Forced Expiratory Volume Image Processing Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging Lung volumes Prospective Studies Lung Aged medicine.diagnostic_test business.industry Smoking Total Lung Capacity General Medicine Middle Aged respiratory system medicine.disease Obstructive lung disease Respiratory Function Tests respiratory tract diseases Residual Volume medicine.anatomical_structure Case-Control Studies 030220 oncology & carcinogenesis Female Radiology Lung Volume Measurements Nuclear medicine business Algorithms |
| Zdroj: | Eur. Radiol. 29, 1595-1606 (2019) |
| Popis: | Whole-body MR imaging is increasingly utilised; although for lung dedicated sequences are often not included, the chest is typically imaged. Our objective was to determine the clinical utility of lung volumes derived from non-dedicated MRI sequences in the population-based KORA-FF4 cohort study. 400 subjects (56.4 ± 9.2 years, 57.6% males) underwent whole-body MRI including a coronal T1-DIXON-VIBE sequence in inspiration breath-hold, originally acquired for fat quantification. Based on MRI, lung volumes were derived using an automated framework and related to common predictors, pulmonary function tests (PFT; spirometry and pulmonary gas exchange, n = 214) and obstructive lung disease. MRI-based lung volume was 4.0 ± 1.1 L, which was 64.8 ± 14.9% of predicted total lung capacity (TLC) and 124.4 ± 27.9% of functional residual capacity. In multivariate analysis, it was positively associated with age, male, current smoking and height. Among PFT indices, MRI-based lung volume correlated best with TLC, alveolar volume and residual volume (RV; r = 0.57 each), while it was negatively correlated to FEV1/FVC (r = 0.36) and transfer factor for carbon monoxide (r = 0.16). Combining the strongest PFT parameters, RV and FEV1/FVC remained independently and incrementally associated with MRI-based lung volume (β = 0.50, p = 0.04 and β = – 0.02, p = 0.02, respectively) explaining 32% of the variability. For the identification of subjects with obstructive lung disease, height-indexed MRI-based lung volume yielded an AUC of 0.673–0.654. Lung volume derived from non-dedicated whole-body MRI is independently associated with RV and FEV1/FVC. Furthermore, its moderate accuracy for obstructive lung disease indicates that it may be a promising tool to assess pulmonary health in whole-body imaging when PFT is not available. • Although whole-body MRI often does not include dedicated lung sequences, lung volume can be automatically derived using dedicated segmentation algorithms • Lung volume derived from whole-body MRI correlates with typical predictors and risk factors of respiratory function including smoking and represents about 65% of total lung capacity and 125% of the functional residual capacity • Lung volume derived from whole-body MRI is independently associated with residual volume and the ratio of forced expiratory volume in 1 s to forced vital capacity and may allow detection of obstructive lung disease |
| Databáze: | OpenAIRE |
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