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. 2021 Feb;85(2):1079-1092.
doi: 10.1002/mrm.28476. Epub 2020 Sep 6.

The impact of segmentation on whole-lung functional MRI quantification: Repeatability and reproducibility from multiple human observers and an artificial neural network

Corin Willers  1 , Grzegorz Bauman  2   3 , Simon Andermatt  3 , Francesco Santini  2   3 , Robin Sandkühler  3 , Kathryn A Ramsey  1 , Philippe C Cattin  3 , Oliver Bieri  2   3 , Orso Pusterla  2   3   4 , Philipp Latzin  1
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Free article

The impact of segmentation on whole-lung functional MRI quantification: Repeatability and reproducibility from multiple human observers and an artificial neural network

Corin Willers et al. Magn Reson Med. 2021 Feb.
Free article

Abstract

Purpose: To investigate the repeatability and reproducibility of lung segmentation and their impact on the quantitative outcomes from functional pulmonary MRI. Additionally, to validate an artificial neural network (ANN) to accelerate whole-lung quantification.

Method: Ten healthy children and 25 children with cystic fibrosis underwent matrix pencil decomposition MRI (MP-MRI). Impaired relative fractional ventilation (RFV ) and relative perfusion (RQ ) from MP-MRI were compared using whole-lung segmentation performed by a physician at two time-points (At1 and At2 ), by an MRI technician (B), and by an ANN (C). Repeatability and reproducibility were assess with Dice similarity coefficient (DSC), paired t-test and Intraclass-correlation coefficient (ICC).

Results: The repeatability within an observer (At1 vs At2 ) resulted in a DSC of 0.94 ± 0.01 (mean ± SD) and an unsystematic difference of -0.01% for RFV (P = .92) and +0.1% for RQ (P = .21). The reproducibility between human observers (At1 vs B) resulted in a DSC of 0.88 ± 0.02, and a systematic absolute difference of -0.81% (P < .001) for RFV and -0.38% (P = .037) for RQ . The reproducibility between human and the ANN (At1 vs C) resulted in a DSC of 0.89 ± 0.03 and a systematic absolute difference of -0.36% for RFV (P = .017) and -0.35% for RQ (P = .002). The ICC was >0.98 for all variables and comparisons.

Conclusions: Despite high overall agreement, there were systematic differences in lung segmentation between observers. This needs to be considered for longitudinal studies and could be overcome by using an ANN, which performs as good as human observers and fully automatizes MP-MRI post-processing.

Keywords: automated segmentation; functional lung MRI; inter-reader reproducibility; neural networks; pediatrics.

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References

REFERENCES

    1. Bousquet J, Kaltaev N. Global Surveillance, Prevention and Control of Chronic Respiratory Diseases: A Comprehensive Approach / edited by Jean Bousquet and Nikolai Khaltaev. Geneva: World Health Organization; 2007. ISBN: 9789241563468. https://apps.who.int/iris/handle/10665/43776. Accessed April, 2020.
    1. Ley-Zaporozhan J, Ley S, Kauczor H-U. Morphological and functional imaging in COPD with CT and MRI: Present and future. Eur Radiol. 2008;18:510-521.
    1. Wielpütz M, Kauczor H-U. MRI of the lung: State of the art. Diagn Interv Radiol. 2012;18:344-353.
    1. Bui DS, Lodge CJ, Burgess JA, et al. Childhood predictors of lung function trajectories and future COPD risk: A prospective cohort study from the first to the sixth decade of life. The Lancet Respiratory Medicine. 2018;6:535-544.
    1. Pearce MS, Salotti JA, Little MP, et al. Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: A retrospective cohort study. Lancet. 2012;380:499-505.

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