Evidence map›Paper›PMID 28425431›Full record

ArticlePhysics in medicine and biology2017

Characterization of spatial distortion in a 0.35 T MRI-guided radiotherapy system.

John S Ginn, Nzhde Agazaryan, Minsong Cao, Umar Baharom, Daniel A Low, Yingli Yang, Yu Gao, Peng Hu, Percy Lee, James M Lamb

Abstract read
In one paragraph

Article in Physics in medicine and biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
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

33 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Adaptive radiotherapy for breast cancer.Clinical and translational radiation oncology · 2023
    Review
  8. Article
  9. Article
  10. Article
  11. Head and neck radiotherapy on the MR linac: a multicenter planning challenge amongst MRIdian platform users.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2021
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Medical physics challenges in clinical MR-guided radiotherapy.Radiation oncology (London, England) · 2020
    Review
  20. 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

10 authors.

John S GinnDepartment of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States of America.
Nzhde AgazaryanDepartment of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States of America.
Minsong CaoDepartment of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States of America.
Umar BaharomIntegrated Medical Technologies, Troy, NY 12180, United States of America.
Daniel A LowDepartment of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States of America.
Yingli YangDepartment of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States of America.
Yu GaoDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States of America.
Peng HuDepartment of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States of America.
Percy LeeDepartment of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States of America.
James M LambDepartment of Radiation Oncology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, United States of America.

Funding

Research Training in Biomedical PhysicsT32EB002101 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Michael F McNitt-Gray · 2003 to 2026
$5.3M
NIBIB NIH HHS T32 EB002101
6 · The paper itself

Abstract

Spatial distortion results in image deformation that can degrade accurate targeting and dose calculations in MRI-guided adaptive radiotherapy. The authors present a comprehensive assessment of a 0.35 T MRI-guided radiotherapy system's spatial distortion using two commercially-available phantoms with regularly spaced markers. Images of the spatial integrity phantoms were acquired using five clinical protocols on the MRI-guided radiotherapy machine with the radiotherapy gantry positioned at various angles. Software was developed to identify and localize all phantom markers using a template matching approach. Rotational and translational corrections were implemented to account for imperfect phantom alignment. Measurements were made to assess uncertainties arising from susceptibility artifacts, image noise, and phantom construction accuracy. For a clinical 3D imaging protocol with a 1.5 mm reconstructed slice thickness, 100% of spheres within a 50 mm radius of isocenter had a 3D deviation of 1 mm or less. Of the spheres within 100 mm of isocenter, 99.9% had a 3D deviation less than 1 mm. 94.8% and 100% of the spheres within 175 mm were found to be within 1 mm and 2 mm of the expected positions in 3D respectively. Maximum 3D distortions within 50 mm, 100 mm and 175 mm of isocenter were 0.76 mm, 1.15 mm and 1.88 mm respectively. Distortions present in images acquired using the real-time imaging sequence were less than 1 mm for 98.1% and 95.0% of the cylinders within 50 mm and 100 mm of isocenter. The corresponding maximum distortion in these regions was 1.10 mm and 1.67 mm. These results may be used to inform appropriate planning target volume (PTV) margins for 0.35 T MRI-guided radiotherapy. Observed levels of spatial distortion should be explicitly considered when using PTV margins of 3 mm or less or in the case of targets displaced from isocenter by more than 50 mm.

Indexed as

Phantoms, ImagingSoftwareArtifactsHumansImaging, Three-DimensionalMagnetic Resonance ImagingRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-Assisted

Identifiers

PMID28425431
PMCPMC6061953

What OpenQuestion holds

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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.