Evidence map›Paper›PMID 37438406›Full record

ArticleScientific reports2023

PhysVENeT: a physiologically-informed deep learning-based framework for the synthesis of 3D hyperpolarized gas MRI ventilation.

Joshua R Astley, Alberto M Biancardi, Helen Marshall, Laurie J Smith, Paul J C Hughes, Guilhem J Collier, Laura C Saunders, Graham Norquay, Malina-Maria Tofan, Matthew Q Hatton and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2023. 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
0.6field-weighted citation impact, top 34% of its field
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, 3 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 3 institutions in 1 country.

Joshua R AstleyDepartment of Oncology and Metabolism, The University of Sheffield, Sheffield, UK.
Alberto M BiancardiPOLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
Helen MarshallPOLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
Laurie J SmithPOLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
Paul J C HughesPOLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
Guilhem J CollierPOLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
Laura C SaundersPOLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
Graham NorquayPOLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
Malina-Maria TofanDepartment of Oncology and Metabolism, The University of Sheffield, Sheffield, UK.
Matthew Q HattonDepartment of Oncology and Metabolism, The University of Sheffield, Sheffield, UK.
Rod HughesEarly Development Respiratory Medicine, AstraZeneca, Cambridge, UK.
Jim M WildPOLARIS, Department of Infection, Immunity & Cardiovascular Disease, The University of Sheffield, Sheffield, UK.
Bilal A TahirDepartment of Oncology and Metabolism, The University of Sheffield, Sheffield, UK. b.tahir@sheffield.ac.uk.
University of Sheffield · GBInsigneo · GBAstraZeneca (United Kingdom) · GB

Funding

Medical Research Council MR/M008894/1
6 · The paper itself

Abstract

Functional lung imaging modalities such as hyperpolarized gas MRI ventilation enable visualization and quantification of regional lung ventilation; however, these techniques require specialized equipment and exogenous contrast, limiting clinical adoption. Physiologically-informed techniques to map proton (

Indexed as

COVID-19Deep LearningHumansLungMagnetic Resonance ImagingProtonsRespirationProtons

Identifiers

PMID37438406
PMCPMC10338553
OpenAlexW4384007633

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.