Evidence map›Paper›PMID 41694456›Full record

ArticleRadiology advances2026

Determinants of image quality in respiratory triggered free breathing lung MRI at 0.55 T in adults.

Richard B Schonour, Felicia I Tang, Kiara A Bowers, Pan Su, Michael A Ohliger, Yoo Jin Lee, Jonathan A Liu, Peder E Z Larson, Yang Yang, Jae Ho Sohn

Abstract read
In one paragraph

Article in Radiology advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Richard B SchonourFrederick P. Whiddon College of Medicine, University of South Alabama, Mobile, AL, 36688, United States.ORCID https://orcid.org/0000-0002-6468-4646
Felicia I TangDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, 94143, United States.ORCID https://orcid.org/0000-0002-7104-6255
Kiara A BowersDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, 94143, United States.ORCID https://orcid.org/0000-0003-4822-3900
Pan SuSiemens Medical Solutions USA, Inc., Malvern, PA, 19355, United States.ORCID https://orcid.org/0000-0002-6728-5878
Michael A OhligerDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, 94143, United States.
Yoo Jin LeeDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, 94143, United States.
Jonathan A LiuDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, 94143, United States.ORCID https://orcid.org/0009-0008-6085-731X
Peder E Z LarsonDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, 94143, United States.ORCID https://orcid.org/0000-0003-4183-3634
Yang YangDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, 94143, United States.
Jae Ho SohnDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, 94143, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mid-field MRI scans (0.55 T) have gained attention for pulmonary imaging because of reduced susceptibility artifact, but image quality remains variable across patient populations, limiting its clinical adoption. Purpose: To identify technical and clinical factors associated with poor image quality in 0.55 T lung MRI in adults with various pulmonary diseases. Materials and Methods: Adults with major pulmonary disease (eg, infection, pulmonary fibrosis, cancer) who were scheduled for chest CT or PET/CT at a single health care site were prospectively recruited from January to August 2023 to undergo same-day 0.55 T MRI scans. Exclusion criteria included inability to communicate in English, overlapping pulmonary diagnoses already represented, or declining consent. Respiratory-triggered T2-weighted BLADE and T1-weighted UTE sequences were acquired on a Siemens MAGNETOM Free.Max (0.55 T) scanner. Six radiologists independently graded overall image quality (1 = poor, 2 = fine, 3 = excellent). Respiratory metrics were quantified, including tidal depth, respiratory rate, and respiration length. Body mass index (BMI) and body surface area were calculated. One-way analysis of variance was used to test the association between these factors and image quality. Interreader agreement was assessed using Fleiss kappa and the intraclass correlation coefficient. Results: Twenty-eight participants (mean age, 59 years ± 19; 17 women) were evaluated. Fibrotic interstitial lung disease was linked to degraded image quality. Deeper tidal depth ( Conclusion: This preliminary study suggests that BMI, pulmonary fibrosis, and deep/slow breathing patterns may be associated with degraded respiratory triggered 0.55 T lung MRI. If confirmed in larger, more diverse cohorts, these findings could help identify patients at risk for lower quality imaging and inform strategies to optimize image quality in clinical practice.

Indexed as

image qualitylung MRImagnetic resonance imagingmid-field MRI

Identifiers

PMID41694456
PMCPMC12902788

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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.