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February 2, 2026Journal of Magnetic Resonance Imaging0 citationsOpen Access

Analysis of Pulsatile Vessel Expansion in Healthy, COPD ‐and PH ‐Patients Using Dynamic Vessel Segmentation in Free‐Breathing Lung MRI

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JGJulian GlandorfMKMarius M. KleinFKFilip Klimeš

Key Points

  • The study aims to evaluate the repeatability of vessel metrics in healthy individuals versus those with COPD and PH, focusing on dynamic changes.
  • Conducted a retrospective, multi-cohort feasibility study with a repeatability sub-study.
  • Used free-breathing lung MRI with a 1.5T field strength to segment pulmonary vessels.
  • Applied 2D U-Nets to analyze dynamic vessel metrics over 250 images per subject.
  • Statistical comparisons involved Kruskal–Wallis tests and multiple linear regression modeling.
  • Heart rate and SE-delay showed significant changes during scans.
  • Significant differences in CV vessel area and lung area across cohorts: lowest in COPD and highest in PH.
  • SE-delay was notably longer in COPD compared to PH and healthy participants.
  • Cohort status significantly predicted vessel metrics, while age and gender were not significant factors.

Abstract

ABSTRACT Background The pulsatile expansion of pulmonary vessels carries dynamic cardiopulmonary information that may reveal disease earlier than structural changes alone. Purpose To test (i) intra‐ and inter‐scan repeatability of dynamic vessel metrics in healthy subjects, and (ii) whether chronic obstructive pulmonary disease (COPD) and postcapillary pulmonary hypertension (PH) exhibit disease‐specific differences. Study Type Retrospective, multi‐cohort feasibility study with repeatability sub‐study. Subjects Healthy: 29 (11 female), COPD: 52 (15 female), PH: 25 (15 female) with isolated postcapillary PH. Fieldstrength/Sequence 1.5T, free‐breathing spoiled gradient‐echo sequence, TE = 0.82 ms, TR = 3 ms, flip angle = 5°. Assessment 2D U‐Nets segmented pulmonary vessels throughout each series of 250 images. Dynamic metrics included the coefficient of variation (CV) of vessel area and CV of vessel signal. Delay between vessel signal and vessel expansion as %‐of‐RR‐interval (SE‐delay) together with the heart rate and lung area were calculated. Statistical Tests Repeatability: Friedman; intraclass correlation coefficient (ICC); standard error of measurement (SEM) and the minimal detectable change (MDC). Group comparisons: Kruskal–Wallis and multiple linear regression. p 0.391; p > 0.069). Data Conclusion Free‐breathing lung MRI with automated vessel segmentation reveals distinct hemodynamic characteristics in COPD and PH. This method shows potential as a sensitive non‐invasive tool for detection, phenotyping, and treatment monitoring in pulmonary pathology. Evidence Level 3. Technical Efficacy 2.

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Cite This Study

Glandorf et al. (2026) studied this question.

synapsesocial.com/papers/6980fff5c1c9540dea812ed7https://doi.org/10.1002/jmri.70249
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Dynamic Pulmonary Vessel Analysis in Free-Breathing MRI using 2D-U-Net Segmentation2025
  2. 2Reproducibility and Changes in Vena Caval Blood Flow by Using 4D Flow MRI in Pulmonary Emphysema and Chronic Obstructive Pulmonary Disease (COPD): The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Substudy2019 · 15 citations
  3. 3Beyond PVR: dynamic physiologic assessment enhances prognostic evaluation in pulmonary hypertension associated with chronic obstructive pulmonary disease2026
  4. 4Free‐Breathing Functional Pulmonary Proton <scp>MRI</scp>: A Novel Approach Using Voxel‐Wise Lung Ventilation (<scp>VOLVE</scp>) Assessment in Healthy Volunteers and Patients With Chronic Obstructive Pulmonary Disease2024 · 5 citations
  5. 5COPD: pulmonary vascular volume associated with cardiac structure and function2023 · 9 citations