Science and Research

Automated MR-based lung volume segmentation in population-based whole-body MR imaging: correlation with clinical characteristics, pulmonary function testing and obstructive lung disease

OBJECTIVES: 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. METHODS: 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. RESULTS: 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 (beta = 0.50, p = 0.04 and beta = - 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. CONCLUSION: 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. KEY POINTS: * 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.

  • Mueller, J.
  • Karrasch, S.
  • Lorbeer, R.
  • Ivanovska, T.
  • Pomschar, A.
  • Kunz, W. G.
  • von Kruchten, R.
  • Peters, A.
  • Bamberg, F.
  • Schulz, H.
  • Schlett, C. L.

Keywords

  • Computer-assisted image analysis
  • Magnetic resonance imaging
  • Obstructive lung disease
  • Pulmonary function test
  • Whole-body imaging
Publication details
DOI: 10.1007/s00330-018-5659-9
Journal: European radiology
Work Type: Original
Location: CPC-M, TLRC
Disease Area: PLI
Partner / Member: HMGU, LMU, UKM
Access-Number: 30151641
See publication on PubMed

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