Evidence map›Paper›PMID 25544553›Full record

ArticlePractical radiation oncology

Prospective observer and software-based assessment of magnetic resonance imaging quality in head and neck cancer: Should standard positioning and immobilization be required for radiation therapy applications?

Yao Ding, Abdallah S R Mohamed, Jinzhong Yang, Rivka R Colen, Steven J Frank, Jihong Wang, Eslam Y Wassal, Wenjie Wang, Michael E Kantor, Peter A Balter and 4 more

Open access · greenAbstract read
In one paragraph

Article in Practical radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

27 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
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  6. Observational
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  8. Development and validation of a contouring guideline for the taste bud bearing tongue mucosa.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2021
    Article
  9. Article
  10. Tissue-specific deformable image registration using a spatial-contextual filter.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2021
    Article
  11. Article
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  14. Article
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  16. Review
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  18. Article
  19. ProspectiveClinical and translational radiation oncology · 2018
    Article
  20. CTV Guidance for Head and Neck Cancers.International journal of radiation oncology, biology, physics · 2018
    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

14 authors at 1 institution in 1 country.

Yao DingDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Abdallah S R MohamedDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, University of Alexandria, Alexandria, Egypt.
Jinzhong YangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Rivka R ColenDepartment of Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Steven J FrankDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; The University of Texas Graduate School of Biomedical Sciences, Houston, Texas.
Jihong WangDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; The University of Texas Graduate School of Biomedical Sciences, Houston, Texas.
Eslam Y WassalDepartment of Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas; Department of Diagnostic and Interventional Radiology, Kasr Al-Ainy Faculty of Medicine, Cairo University, Egypt.
Wenjie WangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Michael E KantorDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Peter A BalterDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; The University of Texas Graduate School of Biomedical Sciences, Houston, Texas.
David I RosenthalDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Stephen Y LaiDepartment of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas.
John D HazleDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; The University of Texas Graduate School of Biomedical Sciences, Houston, Texas.
Clifton D FullerDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas; The University of Texas Graduate School of Biomedical Sciences, Houston, Texas. Electronic address: cdfuller@mdanderson.org.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Paul Calabresi Clinical Oncology AwardK12CA088084 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI David S. Hong, Scott Kopetz · 2000 to 2026
$14.0M
NCI NIH HHS CA016672NCI NIH HHS K12 CA088084NCI NIH HHS K12 CA088084-06NCI NIH HHS L30 CA136381NCI NIH HHS L30 CA136381-02NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

purposeThe purpose of this study was to investigate the potential of a head and neck magnetic resonance simulation and immobilization protocol on reducing motion-induced artifacts and improving positional variance for radiation therapy applications. METHODS AND MATERIALS: Two groups (group 1, 17 patients; group 2, 14 patients) of patients with head and neck cancer were included under a prospective, institutional review board-approved protocol and signed informed consent. A 3.0-T magnetic resonance imaging (MRI) scanner was used for anatomic and dynamic contrast-enhanced acquisitions with standard diagnostic MRI setup for group 1 and radiation therapy immobilization devices for group 2 patients. The impact of magnetic resonance simulation/immobilization was evaluated qualitatively by 2 observers in terms of motion artifacts and positional reproducibility and quantitatively using 3-dimensional deformable registration to track intrascan maximum motion displacement of voxels inside 7 manually segmented regions of interest.

resultsThe image quality of group 2 (29 examinations) was significantly better than that of group 1 (50 examinations) as rated by both observers in terms of motion minimization and imaging reproducibility (P < .0001). The greatest average maximum displacement was at the region of the larynx in the posterior direction for patients in group 1 (17 mm; standard deviation, 8.6 mm), whereas the smallest average maximum displacement was at the region of the posterior fossa in the superior direction for patients in group 2 (0.4 mm; standard deviation, 0.18 mm). Compared with group 1, maximum regional motion was reduced in group 2 patients in the oral cavity, floor of mouth, oropharynx, and larynx regions; however, the motion reduction reached statistical significance only in the regions of the oral cavity and floor of mouth (P < .0001).

conclusionsThe image quality of head and neck MRI in terms of motion-related artifacts and positional reproducibility was greatly improved by use of radiation therapy immobilization devices. Consequently, immobilization with external and intraoral fixation in MRI examinations is required for radiation therapy application.

Indexed as

AdultAgedAged, 80 and overFemaleHead and Neck NeoplasmsHumansMagnetic Resonance ImagingMaleMiddle AgedPatient PositioningProspective StudiesRadiotherapy, Image-GuidedSoftware

Identifiers

PMID25544553
PMCPMC4470880
OpenAlexW2090560119

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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.