Ultrashort Echo-Time MRI for the Assessment of Tracheomalacia in Neonates
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Read the article on pubmed.ncbi.nlm.nih.gov ↗Article · Dec 2020 · 1 min read
In brief
In brief
This validation study demonstrates that self-gated ultrashort echo-time MRI can non-invasively assess tracheomalacia in neonates with good diagnostic accuracy compared to bronchoscopy. A threshold of >20% change in tracheal cross-sectional area provides 80% sensitivity, while >40% change offers 93% specificity for detecting airway collapse.
Written by the GCMD Library team from the article.
Background: Bronchoscopy is the gold standard for evaluating tracheomalacia; however, reliance on an invasive procedure limits understanding of normal airway dynamics. Self-gated ultrashort echo-time MRI (UTE MRI) can assess tracheal dynamics but has not been rigorously evaluated. Methods: This study was a validation of UTE MRI diagnosis of tracheomalacia in neonates using bronchoscopy as the gold standard. Bronchoscopies were reviewed for the severity and location of tracheomalacia based on standardized criteria. The percent change in cross-sectional area (CSA) of the trachea between end-inspiration and end-expiration was determined by UTE MRI, and receiver-operating curves were used to determine the optimal cutoff values to predict tracheomalacia and determine positive and negative predictive values. Results: Airway segments with tracheomalacia based on bronchoscopy had a more than threefold change in CSA measured from UTE MRI (54.4 ± 56.1% vs 14.8 ± 19.5%; P < .0001). UTE MRI correlated moderately with bronchoscopy for tracheomalacia severity (ρ = 0.39; P = .0001). Receiver-operating curves, however, showed very good ability of UTE MRI to identify tracheomalacia (area under the curve, 0.78). A "loose" definition (> 20% change in CSA) of tracheomalacia had good sensitivity (80%) but low specificity (64%) for identifying tracheomalacia based on UTE MRI, whereas a "strict" definition (> 40% change in CSA) was poorly sensitive (48%) but highly specific (93%). Conclusions: Self
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