Evidence map›Paper›PMID 42362795›Full record

ArticleEuropean radiology2026

Feasibility of lung imaging at 0.55T for assessment of interstitial lung disease in patients with pulmonary sarcoidosis.

Maurice Pradella, Hanns-Christian Breit, Jens Bremerich, Constantinos Anastasopoulos, Michael Bach, Oliver Bieri, Katrin E Hostettler, Grzegorz Bauman

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Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Maurice Pradella *Department of Radiology, University Hospital Basel, Basel, Switzerland.
Hanns-Christian Breit *Department of Radiology, University Hospital Basel, Basel, Switzerland. Hanns-christian.breit@usb.ch.ORCID http://orcid.org/0000-0003-3612-1341
Jens BremerichDepartment of Radiology, University Hospital Basel, Basel, Switzerland.
Constantinos AnastasopoulosDepartment of Radiology, University Hospital Basel, Basel, Switzerland.
Michael BachDepartment of Radiology, University Hospital Basel, Basel, Switzerland.
Oliver BieriDepartment of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland.
Katrin E HostettlerClinics of Respiratory Medicine, University Hospital Basel, Basel, Switzerland.
Grzegorz BaumanDepartment of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the feasibility and diagnostic performance of radiation-free 0.55-T lung MRI for pulmonary sarcoidosis, combining morphological imaging with functional proton MRI ventilation/perfusion metrics, and to explore correlations with pulmonary function testing (PFT). MATERIALS AND

methodsIn this prospective study, 15 patients with pulmonary sarcoidosis and 30 healthy volunteers underwent 0.55-T lung MRI (bSTAR morphology; matrix-pencil based functional proton MRI). CT served as the reference standard for morphological findings (majority vote of experienced readers). Functional maps yielded ventilation defect percentage (VDP), perfusion defect percentage (QDP), and ventilation-perfusion overlap (VQO); thresholds were derived from the healthy cohort. Group comparisons and correlations with PFT were performed.

resultsMRI achieved the highest sensitivity for consolidations (86%) and moderate performance for nodules (67%) as well as ground-glass opacities (70%), but lower sensitivity for reticulations (29%) and traction bronchiectases (27%) compared with CT. Inter-reader and inter-modality agreement were moderate. Functional MP-MRI revealed significantly higher VDP, QDP, and VQO in patients compared with volunteers (all p < 0.01). Strong correlations were found between MRI-derived VDP and RV/TLC ratio (r = 0.90, p < 0.001) and between QDP and FEV1 (r = 0.63, p = 0.01).

conclusionLow-field lung MRI provides complementary information in pulmonary sarcoidosis, enabling structural assessment free of ionizing radiation, with overall moderate agreement compared to CT, and adds valuable regional lung function analysis correlated with PFT. KEY POINTS: Question Can 0.55-T lung MRI supplement CT in pulmonary sarcoidosis by providing structural assessment plus regional ventilation and perfusion metrics linked to pulmonary function? Findings 0.55-T MRI showed high sensitivity for consolidations (86%) and revealed increased ventilation and perfusion defects that correlated strongly with the residual volume-to-total lung capacity ratio. Clinical relevance Low-field lung MRI enables radiation-free assessment of structural and functional lung involvement, offering additional regional information that may support longitudinal monitoring in selected patients with pulmonary sarcoidosis.

Indexed as

Low-field lung MRIPulmonary sarcoidosisVentilation–perfusion imaging

Identifiers

PMID42362795

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.