Pulmonary fibrosis: tissue characterization using late-enhanced MRI compared with unenhanced anatomic high-resolution CT
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Chest Imaging - Original Article
P: 106-111
March 2017

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

Diagn Interv Radiol 2017;23(2):106-111
1. Department of Radiology, St Vincent’s University Hospital, University College Dublin School of Medicine, Dublin, Ireland
2. Department of Respiratory Medicine, St Vincent’s University Hospital, University College Dublin School of Medicine, Dublin, Ireland
3. Department of Radiology, St Vincent’s Private Hospital, Dublin, Ireland
4. Department of Pathology, St Vincent’s University Hospital, University College Dublin School of Medicine, Dublin, Ireland
5. Department of Radiology, National Jewish Health, Denver, USA
No information available.
No information available
Received Date: 07.08.2015
Accepted Date: 04.06.2016
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ABSTRACT

PURPOSE:

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).

METHODS:

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.

RESULTS:

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.

CONCLUSION:

Tissue characterization of IPF is possible using inversion recovery sequence thoracic MRI.