Evidence map›Paper›PMID 39089222›Full record

ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2024

Impact of undersampling on preclinical lung T

Ian R Stecker, Abdullah S Bdaiwi, Peter J Niedbalski, Neelakshi Chatterjee, Md M Hossain, Zackary I Cleveland

Abstract read
In one paragraph

Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Ian R SteckerDepartment of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States; Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Abdullah S BdaiwiDepartment of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States; Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Peter J NiedbalskiCenter for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Neelakshi ChatterjeeDivision of Biostatistics and Bioinformatics, Department of Environmental and Public Health Sciences, College of Medicine, University of Cincinnati, Cincinnati, OH, United States; Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Md M HossainDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati, Cincinnati, OH, United States.
Zackary I ClevelandDepartment of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, United States; Center for Pulmonary Imaging Research, Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati, Cincinnati, OH, United States; Imaging Research Center, Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States. Electronic address: zackary.cleveland@cchmc.org.

Funding

Validating Quantitative Magnetic Resonance Imaging Biomarkers of Idiopathic Pulmonary FibrosisR01HL143011 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI CLEVELAND, ZACKARY I · 2019 to 2023
$3.7M
NHLBI NIH HHS R01 HL143011
6 · The paper itself

Abstract

Lung diseases are almost invariably heterogeneous and progressive, making it imperative to capture temporally and spatially explicit information to understand the disease initiation and progression. Imaging the lung with MRI-particularly in the preclinical setting-has historically been challenging because of relatively low lung tissue density, rapid cardiac and respiratory motion, and rapid transverse (T

Indexed as

AlgorithmsLungMagnetic Resonance ImagingAnimalsArtifactsImage Processing, Computer-AssistedImaging, Three-DimensionalMiceMice, Inbred C57BLPhantoms, ImagingSignal-To-Noise Ratio3D Radial UTE MRILung T(2)* mappingPreclinicalUndersampling k-space

Identifiers

PMID39089222
PMCPMC11357708

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.