Estimating ventilation correlation coefficients in the lungs using PREFUL-MRI in chronic obstructive pulmonary disease patients and healthy adults.

PREFUL fMRI ventilation

Journal

Magnetic resonance in medicine
ISSN: 1522-2594
Titre abrégé: Magn Reson Med
Pays: United States
ID NLM: 8505245

Informations de publication

Date de publication:
May 2024
Historique:
revised: 14 11 2023
received: 09 07 2023
accepted: 01 12 2023
pubmed: 13 1 2024
medline: 13 1 2024
entrez: 13 1 2024
Statut: ppublish

Résumé

Various parameters of regional lung ventilation can be estimated using phase-resolved functional lung (PREFUL)-MRI. The parameter "ventilation correlation coefficient (Vent-CC)" was shown advantageous because it assesses the dynamics of regional air flow. Calculating Vent-CC depends on a voxel-wise comparison to a healthy reference flow curve. This work examines the effect of placing a reference region of interest (ROI) in various lung quadrants or in different coronal slices. Furthermore, algorithms for automated ROI selection are presented and compared in terms of test-retest repeatability. Twenty-eight healthy subjects and 32 chronic obstructive pulmonary disease (COPD) patients were scanned twice using PREFUL-MRI. Retrospective analyses examined the homogeneity of air flow curves of various reference ROIs using cross-correlation. Vent-CC and ventilation defect percentage (VDP) calculated using various reference ROIs were compared using one-way analysis of variance (ANOVA). The coefficient of variation was calculated for Vent-CC and VDP when using different reference selection algorithms. Flow-volume curves were highly correlated between ROIs placed at various lung quadrants in the same coronal slice (r > 0.97) with no differences in Vent-CC and VDP (ANOVA: p > 0.5). However, ROIs placed at different coronal slices showed lower correlation coefficients and resulted in significantly different Vent-CC and VDP values (ANOVA: p < 0.001). Vent-CC and VDP showed higher repeatability when calculated using the presented new algorithm. In COPD and healthy cohorts, assessing regional ventilation dynamics using PREFUL-MRI in terms of the Vent-CC metric showed higher repeatability using a new algorithm for selecting a homogenous reference ROI from the same slice.

Identifiants

pubmed: 38217450
doi: 10.1002/mrm.29982
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2142-2152

Subventions

Organisme : The German Center for Lung Research (Deutsches Zentrum für Lungenforschung; DZL)

Informations de copyright

© 2024 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.

Références

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Auteurs

Tawfik Moher Alsady (T)

Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Lower Saxony, Germany.
Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Lower Saxony, Germany.

Jakob Ruschepaul (J)

Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Lower Saxony, Germany.
Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Lower Saxony, Germany.

Andreas Voskrebenzev (A)

Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Lower Saxony, Germany.
Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Lower Saxony, Germany.

Filip Klimes (F)

Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Lower Saxony, Germany.
Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Lower Saxony, Germany.

Gesa Helen Poehler (GH)

Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Lower Saxony, Germany.
Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Lower Saxony, Germany.

Jens Vogel-Claussen (J)

Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Lower Saxony, Germany.
Biomedical Research in End-Stage and Obstructive Lung Disease (BREATH), German Center for Lung Research, Hannover, Lower Saxony, Germany.

Classifications MeSH