Evidence map›Paper›PMID 30519929›Full record

ArticleEuropean radiology2019

Magnetic resonance imaging of the time course of hyperpolarized

Ozkan Doganay, Mitchell Chen, Tahreema Matin, Marzia Rigolli, Julie-Ann Phillips, Anthony McIntyre, Fergus V Gleeson

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Post-COPD: Can Emphysema Be Repaired?American journal of respiratory and critical care medicine · 2025
    Article
  2. Article
  3. UltrasensitiveAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  4. Article
  5. Article
  6. PediatricJournal of magnetic resonance imaging : JMRI · 2022
    Article
  7. Article
  8. Article
  9. Molecular Sensing with Host Systems for HyperpolarizedMolecules (Basel, Switzerland) · 2020
    Review
  10. 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

7 authors at 2 institutions in 1 country.

Ozkan DoganayDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, UK. ozkan.doganay@oncology.ox.ac.uk.ORCID http://orcid.org/0000-0002-5945-2090
Mitchell ChenDepartment of Radiology, The Churchill Hospital, Oxford University Hospitals NHS Trust, Old Rd, Oxford, OX3 7LE, UK.
Tahreema MatinDepartment of Radiology, The Churchill Hospital, Oxford University Hospitals NHS Trust, Old Rd, Oxford, OX3 7LE, UK.
Marzia RigolliUniversity of Oxford Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK.
Julie-Ann PhillipsDepartment of Radiology, The Churchill Hospital, Oxford University Hospitals NHS Trust, Old Rd, Oxford, OX3 7LE, UK.
Anthony McIntyreDepartment of Radiology, The Churchill Hospital, Oxford University Hospitals NHS Trust, Old Rd, Oxford, OX3 7LE, UK.
Fergus V GleesonDepartment of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford, OX3 7DQ, UK.
Churchill Hospital · GBJohn Radcliffe Hospital · GB

Funding

Cancer Research UK C5255Engineering and Physical Sciences Research Council A16466
6 · The paper itself

Abstract

purposeTo perform magnetic resonance imaging (MRI), human lung imaging, and quantification of the gas-transfer dynamics of hyperpolarized xenon-129 (HPX) from the alveoli into the blood plasma. MATERIALS AND

methodsHPX MRI with iterative decomposition of water and fat with echo asymmetry and least-square estimation (IDEAL) approach were used with multi-interleaved spiral k-space sampling to obtain HPX gas and dissolved phase images. IDEAL time-series images were then obtained from ten subjects including six normal subjects and four patients with pulmonary emphysema to test the feasibility of the proposed technique for capturing xenon-129 gas-transfer dynamics (XGTD). The dynamics of xenon gas diffusion over the entire lung was also investigated by measuring the signal intensity variations between three regions of interest, including the left and right lungs and the heart using Welch's t test.

resultsThe technique enabled the acquisition of HPX gas and dissolved phase compartment images in a single breath-hold interval of 8 s. The y-intersect of the XGTD curves were also found to be statistically lower in the patients with lung emphysema than in the healthy group (p < 0.05).

conclusionThis time-series IDEAL technique enables the visualization and quantification of inhaled xenon from the alveoli to the left ventricle with a clinical gradient strength magnet during a single breath-hold, in healthy and diseased lungs. KEY POINTS: • The proposed hyperpolarized xenon-129 gas and dissolved magnetic resonance imaging technique can provide regional and temporal measurements of xenon-129 gas-transfer dynamics. • Quantitative measurement of xenon-129 gas-transfer dynamics from the alveolar to the heart was demonstrated in normal subjects and pulmonary emphysema. • Comparison of gas-transfer dynamics in normal subjects and pulmonary emphysema showed that the proposed technique appears sensitive to changes affecting the alveoli, pulmonary interstitium, and capillaries.

Indexed as

Pulmonary Gas ExchangeAdultFemaleHeartHumansMagnetic Resonance ImagingMaleMiddle AgedPulmonary AlveoliPulmonary EmphysemaXenon IsotopesXenon-129Xenon IsotopesChemical shift imagingHeartMagnetic resonance imagingPulmonary emphysemaXenon

Identifiers

PMID30519929
PMCPMC6443604
OpenAlexW2903257336

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.