Evidence map›Paper›PMID 30604622›Full record

ArticleThe British journal of radiology2019

A post-processing method based on interphase motion correction and averaging to improve image quality of 4D magnetic resonance imaging: a clinical feasibility study.

Zixin Deng, Jianing Pang, Yi Lao, Xiaoming Bi, Guan Wang, Yuhua Chen, Matthias Fenchel, Richard Tuli, Debiao Li, Wensha Yang and 1 more

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

Article in The British journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

11 authors at 2 institutions in 1 country.

Zixin Deng1 Department of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars Sinai Medical Center , Los Angeles, CA , USA.
Jianing Pang2 MR R&D, Siemens Healthineers , Chicago, IL , USA.
Yi Lao3 Department of Radiation Oncology, Cedars Sinai Medical Center , Los Angeles, CA , USA.
Xiaoming Bi4 MR R&D, Siemens Healthineers , Los Angeles, CA , USA.
Guan Wang1 Department of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars Sinai Medical Center , Los Angeles, CA , USA.
Yuhua Chen1 Department of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars Sinai Medical Center , Los Angeles, CA , USA.
Matthias Fenchel5 MR R&D, Siemens Healthineers , New York, NY , USA.
Richard Tuli3 Department of Radiation Oncology, Cedars Sinai Medical Center , Los Angeles, CA , USA.
Debiao Li1 Department of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars Sinai Medical Center , Los Angeles, CA , USA.
Wensha Yang1 Department of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars Sinai Medical Center , Los Angeles, CA , USA.
Zhaoyang Fan1 Department of Biomedical Sciences, Biomedical Imaging Research Institute, Cedars Sinai Medical Center , Los Angeles, CA , USA.ORCID http://orcid.org/0000-0002-2693-0260
Cedars-Sinai Medical Center · USSiemens Healthcare (United States) · US

Funding

Novel four dimensional magnetic resonance imaging to monitor pancreatic tumor infiltrating blood vessels and tumor response to chemoradiation therapyR21CA234637 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FAN, ZHAOYANG, YANG, WENSHA · 2019 to 2020
$413k
Improving Pancreas RT Plans using Respiration-driven Anatomic DeformationR03CA173273 · NCI · CEDARS-SINAI MEDICAL CENTER · PI YANG, WENSHA · 2013 to 2014
$158k
NCI NIH HHS R03 CA173273NCI NIH HHS R21 CA234637
6 · The paper itself

Abstract

methods: Nine patients (seven pancreas, one liver, and one lung) were recruited. 4D-MRI was performed using two prototype k-space sorted techniques, stack-of-stars (SOS) and koosh-ball (KB) acquisitions. Post-processing using MoCoAve was implemented for both methods. Image quality score, apparent SNR (aSNR), sharpness, motion trajectory and standard deviation (σ_GTV) of the gross tumor volumes were compared between original and MoCoAve image sets.

results: All subjects successfully underwent 4D-MRI scans and MoCoAve was performed on all data sets. Significantly higher image quality scores (2.64 ± 0.39 vs 1.18 ± 0.34, p = 0.001) and aSNR (37.6 ± 15.3 vs 18.1 ± 5.7, p = 0.001) was observed in the MoCoAve images when compared to the original images. High correlation in tumor motion trajectories in the superoinferior direction (SI: 0.91 ± 0.08) and weaker in the anteroposterior (AP: 0.51 ± 0.44) and mediolateral (ML: 0.37 ± 0.23) directions, similar image sharpness (0.367 ± 0.068 vs 0.369 ± 0.072, p = 0.805), and minimal average absolute difference (0.47 ± 0.34  mm) of the motion trajectory profiles was found between the two image sets. The σ_GTV in pancreas patients was significantly (p = 0.039) lower in MoCoAve images (1.48 ± 1.35  cm

conclusion: MoCoAve using interphase motion correction and averaging has shown promise as a post-processing method for improving k-space sorted (SOS and KB) 4D-MRI image quality in thoracic and abdominal cancer patients. ADVANCES IN KNOWLEDGE:: The proposed method is an image based post-processing method that could be applied to many k-space sorted 4D-MRI methods for improved image quality and signal-to-noise ratio while preserving image sharpness and respiratory motion fidelity. It is a useful technique for the radiotherapy planning community who are interested in using 4D-MRI but aren't satisfied with their current MR image quality.

Indexed as

Abdominal NeoplasmsAdultAgedFeasibility StudiesFemaleHumansImage EnhancementLung NeoplasmsMagnetic Resonance ImagingMaleMiddle AgedRespiratory-Gated Imaging TechniquesSignal-To-Noise Ratio

Identifiers

PMID30604622
PMCPMC6541178
OpenAlexW2906940216

What OpenQuestion holds

Textmetadata
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.