Type

Journal Article

Authors

Jonathan D Dodd
Michael P Keane
David A Lynch
Aurelie Fabre
Marie McMullen
Fionnula Shortt
Marcus Butler
Annika Gallagher
Brian Gibney
David Murphy
and 3 others

Subjects

Medicine & Nursing

Topics
high resolution mri idiopathic pulmonary fibrosis pulmonary fibrosis pulmonary artery magnetic resonance imaging mri to noise ratio tissue

Pulmonary fibrosis: tissue characterization using late-enhanced MRI compared with unenhanced anatomic high-resolution CT. (2017)

Abstract We aimed to prospectively evaluate anatomic chest computed tomography (CT) with tissue characterization late gadolinium-enhanced magnetic resonance imaging (MRI) in the evaluation of pulmonary fibrosis (PF). Twenty patients with idiopathic pulmonary fibrosis (IPF) and twelve control patients underwent late-enhanced MRI and high-resolution CT. Tissue characterization of PF was depicted using a segmented inversion-recovery turbo low-angle shot MRI sequence. Pulmonary arterial blood pool nulling was achieved by nulling main pulmonary artery signal. Images were read in random order by a blinded reader for presence and extent of overall PF (reticulation and honeycombing) at five anatomic levels. Overall extent of IPF was estimated to the nearest 5% as well as an evaluation of the ratios of IPF made up of reticulation and honeycombing. Overall grade of severity was dependent on the extent of reticulation and honeycombing. No control patient exhibited contrast enhancement on lung late-enhanced MRI. All IPF patients were identified with late-enhanced MRI. Mean signal intensity of the late-enhanced fibrotic lung was 31.8±10.6 vs. 10.5±1.6 for normal lung regions, P < 0.001, resulting in a percent elevation in signal intensity from PF of 204.8%±90.6 compared with the signal intensity of normal lung. The mean contrast-to-noise ratio was 22.8±10.7. Late-enhanced MRI correlated significantly with chest CT for the extent of PF (R=0.78, P = 0.001) but not for reticulation, honeycombing, or coarseness of reticulation or honeycombing. Tissue characterization of IPF is possible using inversion recovery sequence thoracic MRI.
Collections Ireland -> University College Dublin -> PubMed

Full list of authors on original publication

Jonathan D Dodd, Michael P Keane, David A Lynch, Aurelie Fabre, Marie McMullen, Fionnula Shortt, Marcus Butler, Annika Gallagher, Brian Gibney, David Murphy and 3 others

Experts in our system

1
Jonathan D Dodd
University College Dublin
Total Publications: 8
 
2
Michael P Keane
University College Dublin
Total Publications: 23
 
3
Aurélie Fabre
University College Dublin
Total Publications: 15
 
4
Marcus W Butler
University College Dublin
Total Publications: 4
 
5
David J Murphy
University College Dublin
Total Publications: 4