Evidence map›Paper›PMID 30947154›Full record

ArticlePhysics in medicine and biology2019

A hybrid proton and hyperpolarized gas tagging MRI technique for lung respiratory motion imaging: a feasibility study.

Lei Hu, Qijie Huang, Taoran Cui, Isabella Duarte, G Wilson Miller, John P Mugler, Gordon D Cates, Jaime F Mata, Eduard E de Lange, Talissa A Altes and 2 more

Open access · greenAbstract read
In one paragraph

Article in Physics in medicine and biology, 2019. 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
0.2field-weighted citation impact, top 49% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

12 authors at 7 institutions in 2 countries.

Lei HuDepartment of Radiation Oncology, NYU Langone Health, New York, NY 10016, United States of America.
Qijie HuangDepartment of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, United States of America.
Taoran CuiDepartment of Radiation Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ 08901, United States of America.
Isabella DuarteDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, United States of America.
G Wilson MillerDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22908, United States of America.
John P MuglerDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22908, United States of America.
Gordon D CatesDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22908, United States of America.
Jaime F MataDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22908, United States of America.
Eduard E de LangeDepartment of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA 22908, United States of America.
Talissa A AltesDepartment of Radiology, University of Missouri School of Medicine, Columbia, MO 65212, United States of America.
Fang-Fang YinDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, United States of America.
Jing CaiDepartment of Radiation Oncology, Duke University Medical Center, Durham, NC 27710, United States of America.
University of Virginia · USDuke Medical Center · USHong Kong Polytechnic University · HKMemorial Sloan Kettering Cancer Center · USNYU Langone Health · USRutgers, The State University of New Jersey · USUniversity of Missouri · US

Funding

Optimization of Hyperpolarized Xenon-129 Diffusion MRI for COPDR01HL105586 · NHLBI · UNIVERSITY OF VIRGINIA · PI MILLER, G. WILSON, WANG, CHENGBO · 2011 to 2015
$1.5M
Assessing deformable image registration in the lung using hyperpolarized-gas MRIR21CA195317 · NCI · DUKE UNIVERSITY · PI CAI, JING, MILLER, G. WILSON · 2016 to 2017
$447k
NCI NIH HHS R21 CA195317NHLBI NIH HHS R01 HL105586
6 · The paper itself

Abstract

The aim of this work was to develop a novel hybrid 3D hyperpolarized (HP) gas tagging MRI (t-MRI) technique and to evaluate it for lung respiratory motion measurement with comparison to deformable image registrations (DIR) methods. Three healthy subjects underwent a hybrid MRI which combines 3D HP gas t-MRI with a low resolution (Low-R, 4.5 mm isotropic voxels) 3D proton MRI (p-MRI), plus a high resolution (High-R, 2.5 mm isotropic voxels) 3D p-MRI, during breath-holds at the end-of-inhalation (EOI) and the end-of-exhalation (EOE). Displacement vector field (DVF) of the lung motion was determined from the t-MRI images by tracking tagging grids and from the High-R p-MRI using three DIR methods (B-spline based method implemented by Velocity, Free Form Deformation by MIM, and B-spline by an open source software Elastix: denoted as A, B, and C, respectively), labeled as tDVF and dDVF, respectively. The tDVF from the HP gas t-MRI was used as ground-truth reference to evaluate performance of the three DIR methods. Differences in both magnitude and angle between the tDVF and dDVFs were analyzed. The mean lung motion of the three subjects was 37.3 mm, 8.9 mm and 12.9 mm, respectively. Relatively large discrepancies were observed between the tDVF and the dDVFs as compared to previously reported DIR errors. The mean  ±  standard deviation (SD) DVF magnitude difference was 8.3  ±  5.6 mm, 9.2  ±  4.5 mm, and 9.3  ±  6.1 mm, and the mean  ±  SD DVF angular difference was 29.1  ±  12.1°, 50.1  ±  28.6°, and 39.0  ±  6.3°, for the DIR Methods A, B, and C, respectively. These preliminary results showed that the hybrid HP gas t-MRI technique revealed different lung motion patterns as compared to the DIR methods. It may provide unique perspectives in developing and evaluating DIR of the lungs. Novelty and Significance We designed a MRI protocol that includes a novel hybrid MRI technique (3D HP gas t-MRI with a low resolution 3D p-MRI) plus a high resolution 3D p-MRI. We tested the novel hybrid MRI technique on three healthy subjects for measuring regional lung respiratory motion with comparison to deformable image registrations (DIR) methods, and observed relatively large discrepancies in lung motion between HP gas t-MRI and DIR methods.

Indexed as

AlgorithmsProtonsAdultFeasibility StudiesFemaleHealthy VolunteersHumansImage Processing, Computer-AssistedLungMagnetic Resonance ImagingMalePilot ProjectsPulmonary VentilationRespiratory MechanicsYoung AdultProtons

Identifiers

PMID30947154
PMCPMC7482098
OpenAlexW2927592792

What OpenQuestion holds

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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.