Evidence map›Paper›PMID 32126265›Full record

ArticleMagnetic resonance imaging2020

Free-breathing dynamic contrast-enhanced magnetic resonance of interstitial lung fibrosis.

Nathan E Frenk, Sydney B Montesi, Tianqi Chen, Lloyd L Liang, Iris Zhou, Ravi Seethamraju, Peter Caravan, Subba R Digumarthy

Abstract read
In one paragraph

Article in Magnetic resonance imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Novel Imaging Strategies in Systemic Sclerosis.Current rheumatology reports · 2020
    Review
  6. Review
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

8 authors.

Nathan E FrenkDivision of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States of America.
Sydney B MontesiDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States of America.
Tianqi ChenDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, United States of America.
Lloyd L LiangDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, United States of America.
Iris ZhouAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States of America.
Ravi SeethamrajuSiemens Healthcare, Boston, MA, United States of America; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States of America.
Peter CaravanAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States of America; Institute for Innovation in Imaging, Massachusetts General Hospital, Boston, MA, United States of America.
Subba R DigumarthyDivision of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States of America. Electronic address: sdigumarthy@mgh.harvard.edu.

Funding

PET Imaging of Pulmonary FibrosisR01HL131907 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI CARAVAN, PETER D, LANUTI, MICHAEL · 2016 to 2018
$2.3M
Vascular Leak and Outcomes in IPFK23HL150331 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI MONTESI, SYDNEY · 2020 to 2024
$887k
NHLBI NIH HHS K23 HL150331NHLBI NIH HHS R01 HL131907
6 · The paper itself

Abstract

purposeComputed tomography (CT) imaging is the standard to assess interstitial lung disease. Magnetic resonance (MR) is potentially advantageous due to superior tissue characterization and better assessment of blood flow dynamics. This study aimed to evaluate idiopathic pulmonary fibrosis (IPF) using prototype 4D Stack of Stars GRE (StarVIBE) MR and compare it to CT.

methodThis IRB-approved prospective study included 13 patients [5F:8M; average age 66 ± 8.1 years] with pulmonary fibrosis, and 12 healthy controls [3F:9M; average age 55 ± 3.6 years]. MR of the chest included noncontrast steady-state free precession imaging (SSFP) and free-breathing 4D StarVIBE sequence with intravenous contrast administration up to 160 s. The images were assessed for quality and artifacts. The image resolution was evaluated based on the visibility of the smallest bronchi, vessels, lymph nodes, and pleural fissures. Independent assessment of reticulation, ground-glass opacity, and traction bronchiectasis was performed and compared to CT.

resultsThe StarVIBE images had fewer artifacts and higher spatial resolution. The findings associated with IPF were significantly better seen with StarVIBE, with superior CT correlation.

conclusionContrast-enhanced free-breathing StarVIBE MR can generate high quality images with good correlation to CT in patients with IPF, and with high spatial and temporal resolution to generate rapid sequential dynamic images.

Indexed as

Magnetic Resonance ImagingAgedArtifactsContrast MediaFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalLungLung Diseases, InterstitialMaleMiddle AgedProspective StudiesPulmonary FibrosisRespirationTomography, X-Ray ComputedContrast MediaInterstitial lung diseaseMagnetic resonance imagingPulmonary fibrosisStarVIBE

Identifiers

PMID32126265
PMCPMC7986483

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Registered trials

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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.