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Morphological and quantitative evaluation of emphysema in chronic obstructive pulmonary disease patients: A comparative study of MRI with CT. | LitMetric

AI Article Synopsis

  • The study aimed to validate the use of ultrashort echo-time (UTE) MRI for measuring lung density in chronic obstructive pulmonary disease (COPD) patients and create an MRI-based emphysema index (EI).
  • Ten COPD patients and ten healthy individuals were compared using UTE MRI and chest CT images to measure lung densities and the emphysema index, finding significant differences between the two groups.
  • Results indicated that UTE MRI showed a strong correlation with lung density assessment and could potentially serve as an effective alternative to CT for diagnosing emphysema, particularly in long-term studies.

Article Abstract

Purpose: To further validate the ability of ultrashort echo-time (UTE) magnetic resonance imaging (MRI) in quantifying lung density in patients diagnosed with chronic obstructive pulmonary disease (COPD) and to develop an MRI-based emphysema index (EI).

Materials And Methods: Ten subjects clinically diagnosed with COPD (5M/5F, age 62.6 ± 8.5 years) and ten healthy subjects (2M/8F, age 48.9 ± 19.2 years) were imaged via UTE MRI at 3T (4 mm slices, 1.39 × 1.39 mm pixels). Chest computed tomography (CT) images (generally 5 mm slices, ≈0.55 × 0.55 mm pixels), acquired retrospectively, were compared to UTE MRI. CT lung densities, MR lung-signal density, and EI were quantified from both CT and UTE MR images via a quantitative automated analysis and compared to the percent predicted forced expiratory volume in 1 second (FEV % predicted).

Results: EI quantified in controls via CT and UTE MRI was 0.23 ± 0.78% and 2.40 ± 1.50%, respectively; in COPD subjects it was 13.3 ± 14.9% (P = 0.021) and 12.0 ± 9.8% (P = 0.013), respectively. Bland-Altman determined the mean differences and 95% limits of agreement for COPD subjects and healthy controls were 0.06 (12.50 to -12.38). Strong correlation (R  = 0.79, P < 0.0001) existed between EIs quantified from both CT and UTE MRI. There was a slightly higher correlation between FEV % predicted and the UTE MRI EI (R  = 0.65, P < 0.0001) compared to CT EI (R  = 0.49, P < 0.0001).

Conclusion: Our results demonstrate a significant positive correlation between lung density and EI assessed with CT and MRI. Furthermore, UTE MRI exhibits its potential as a diagnostic alternative to CT for assessing the extent and the severity of emphysema, particularly for longitudinal studies. J. Magn. Reson. Imaging 2016;44:1656-1663.

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Source
http://dx.doi.org/10.1002/jmri.25309DOI Listing

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