Evidence map›Paper›PMID 34487357›Full record

ArticleMedical physics2021

Toward magnetic resonance fingerprinting for low-field MR-guided radiation therapy.

Nikolai J Mickevicius, Joshua P Kim, Jiwei Zhao, Zachary S Morris, Newton J Hurst, Carri K Glide-Hurst

Abstract read
In one paragraph

Article in Medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Low-field MRI: A report on the 2022 ISMRM workshop.Magnetic resonance in medicine · 2023
    Review
  12. Assessment of MRF for simultaneous TMagma (New York, N.Y.) · 2023
    Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Feasibility of cardiac-synchronized quantitative TPhysics and imaging in radiation oncology · 2022
    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

6 authors.

Nikolai J MickeviciusDepartment of Human Oncology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Joshua P KimDepartment of Radiation Oncology, Henry Ford Cancer Institute, Detroit, Michigan, USA.
Jiwei ZhaoDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Zachary S MorrisDepartment of Human Oncology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Newton J HurstDepartment of Human Oncology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Carri K Glide-HurstDepartment of Human Oncology, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Funding

Development of Anatomical Patient Models to Facilitate MR-only Treatment PlanningR01CA204189 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI GLIDE-HURST, CARRI KAYE · 2016 to 2020
$1.5M
NCI NIH HHS R01 CA204189NIH HHS R01CA204189
6 · The paper itself

Abstract

purposeThe acquisition of multiparametric quantitative magnetic resonance imaging (qMRI) is becoming increasingly important for functional characterization of cancer prior to- and throughout the course of radiation therapy. The feasibility of a qMRI method known as magnetic resonance fingerprinting (MRF) for rapid T

methodsA three-dimensional MRF sequence was implemented on a 0.35T MR-guided radiotherapy system. MRF-derived measurements of T

resultsThe phantom benchmarking studies showed that MRF is capable of mapping T

conclusionsThe technical feasibility and accuracy of MRF on a low-field MR-guided radiation therapy device has been demonstrated. MRF can be used to measure accurate T

Indexed as

BenchmarkingMagnetic Resonance ImagingBrainHumansImage Processing, Computer-AssistedMagnetic Resonance SpectroscopyPhantoms, Imaging0.35Tlow-fieldMRFMR fingerprintingMR-guided radiotherapyquantitative imagingrelaxometry

Identifiers

PMID34487357
PMCPMC8733901

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.