Skip to Main Content (Press Enter)

Logo UNISR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNIFIND
Logo UNISR

|

UNIFIND

unisr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Lung magnetic resonance imaging in systemic sclerosis: a new promising approach to evaluate pulmonary involvement and progression

Academic Article
Publication Date:
2021
Short description:
Lung magnetic resonance imaging in systemic sclerosis: a new promising approach to evaluate pulmonary involvement and progression / Gargani, L., Bruni, C., De Marchi, D., Romei, C., Guiducci, S., Bellando-Randone, S., Donato Aquaro, G., Pepe, A., Neri, E., Colagrande, S., Falaschi, F., Moggi-Pignone, A., Pingitore, A., Matucci Cerinic, M.. - In: CLINICAL RHEUMATOLOGY. - ISSN 0770-3198. - 40:(2021), pp. 1903-1912. [10.1007/s10067-020-05491-9]
abstract:
Introduction/objectives: Interstitial lung disease (ILD) is frequent and highly disabling in systemic sclerosis (SSc). Magnetic resonance imaging (MRI) is not routinely used to evaluate the lung, due to poorer spatial resolution compared to high-resolution computed tomography (HRCT). We aimed to compare lung MRI signal with HRCT and evaluate the role of MRI in predicting ILD progression. Methods: Thirty SSc patients underwent lung MRI and HRCT. STIR and T1 mapping sequences were acquired before and after gadolinium injection. Patients were classified as normal (group 1 with normal HRCT and MRI), discordant (group 2 without ILD signs on HRCT but areas of hyperintensity on MRI), and abnormal (group 3 with ILD signs on HRCT and areas of hyperintensity on MRI). Patients were followed up for ILD progression. Results: Mean STIR and T1 values were different between the three groups (p < 0.0001). STIR values correlated with HRCT score (R = 0.79, p < 0.0001), lung ultrasound B-lines (R = 0.73, p < 0.0001), and %DLco (R = − 0.63, p = 0.0001). Nine events were recorded during a follow-up of 25 ± 20 months. Continuous STIR values were independently associated with events (HR 1.018; CI 1.005–1.031, p = 0.005). A STIR value >90 ms discriminated patients at a higher risk of worsening pulmonary involvement (HR 8.80; CI 1.81–42.74; p < 0.007). Conclusions: Lung MRI can detect SSc-related ILD, with good correlations with other ILD markers. STIR values, independently of HRCT appearance, may predict worsening lung involvement. Lung MRI, although very preliminary, is a promising tool that in a near future could help selecting patients for an early treatment of SSc-related ILD and a more appropriate use of HRCT.• Lung MRI has the potential to differentiate inflammation-predominant versus fibrosis-predominant lesions, but it is not currently used in routine clinical practice to assess SSc-related ILD.• Lung MRI STIR and T1 values are significantly different between patients with and without SSc-related ILD. STIR values, independently of HRCT appearance, are also able to predict worsening lung involvement over time.• These preliminary data suggest that, in a near future, MRI could support the choice for an early treatment of SSc-related ILD, as well as a more appropriate use of HRCT.
Iris type:
1.1 Articolo in rivista
List of contributors:
Gargani, Luna; Bruni, Cosimo; De Marchi, Daniele; Romei, Chiara; Guiducci, Serena; Bellando-Randone, Silvia; Donato Aquaro, Giovanni; Pepe, Alessia; Neri, Emanuele; Colagrande, Stefano; Falaschi, Fabio; Moggi-Pignone, Alberto; Pingitore, Alessandro; Matucci Cerinic, Marco
Authors of the University:
MATUCCI CERINIC MARCO
Handle:
https://iris.unisr.it/handle/20.500.11768/154589
Published in:
CLINICAL RHEUMATOLOGY
Journal
  • Overview

Overview

URL

https://link.springer.com/article/10.1007/s10067-020-05491-9
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.9.2.0