Comparison of MR-Signal-based and Deformation-based Ventilation Measurement in Pediatric Patients with non-CF Bronchiectasis

Motivation: A previous study showed that MR-signal-based (RVent) and deformation-based approaches (JVent) for ventilation are theoretically equivalent, but result in different defects in a digital lung model. A verification of this finding using real data is pending. Goal(s): Test if both ventilation parameters result in significant differences on a global and regional level. Approach: A retrospective analysis of 32 patients with non-CF Bronchiectasis was performed, calculating RVent, JVent and corresponding ventilation defects for three registration variants. Results: There were significant differences and patterns on a global and regional level, which are consistent with the findings in the lung model study. Impact: Inferior-superior gradient in deformation-based ventilation measurements might lead to a biased defect detection. Therefore, use of such parameters might require further correction and/or diligent registration optimization. Thus, signal-based ventilation with more stable performance across different registration variants might be benefical.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/0296
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
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article

Comparison of MR-Signal-based and Deformation-based Ventilation Measurement in Pediatric Patients with non-CF Bronchiectasis

Marius Wernz, Martha Dohna, Filip Klimeš, Andreas Voskrebenzev et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Respiratory Support and Mechanisms
article

Comparison of MR-Signal-based and Deformation-based Ventilation Measurement in Pediatric Patients with non-CF Bronchiectasis

Marius Wernz, Martha Dohna, Filip Klimeš, Andreas Voskrebenzev, Robin Müller, Diane Miriam Renz, Jens Vogel‐Claussen, Frank K. Wacker, Marcel Gutberlet
article en

Abstract

Motivation: A previous study showed that MR-signal-based (RVent) and deformation-based approaches (JVent) for ventilation are theoretically equivalent, but result in different defects in a digital lung model. A verification of this finding using real data is pending. Goal(s): Test if both ventilation parameters result in significant differences on a global and regional level. Approach: A retrospective analysis of 32 patients with non-CF Bronchiectasis was performed, calculating RVent, JVent and corresponding ventilation defects for three registration variants. Results: There were significant differences and patterns on a global and regional level, which are consistent with the findings in the lung model study. Impact: Inferior-superior gradient in deformation-based ventilation measurements might lead to a biased defect detection. Therefore, use of such parameters might require further correction and/or diligent registration optimization. Thus, signal-based ventilation with more stable performance across different registration variants might be benefical.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 60%
Respiratory Support and Mechanisms
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Comparison of MR-Signal-based and Deformation-based Ventilation Measurement in Pediatric Patients with non-CF Bronchiectasis — Marius Wernz, Martha Dohna, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS