Evidence map›Paper›PMID 31660053›Full record

ArticleReports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology

Evaluating the accuracy of geometrical distortion correction of magnetic resonance images for use in intracranial brain tumor radiotherapy.

Seyed Mehdi Bagherimofidi, Claus Chunli Yang, Roberto Rey-Dios, Madhava R Kanakamedala, Ali Fatemi

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Article in Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
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  3. 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

5 authors.

Seyed Mehdi BagherimofidiDepartment of Biomedical Engineering, Aliabad Katoul Branch, Islamic Azad University, Aliabad Katoul, Iran.
Claus Chunli YangDepartment of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS 39216, United States.
Roberto Rey-DiosDepartment of Neurosurgery, University of Mississippi Medical Center, Jackson, MS 39216, United States.
Madhava R KanakamedalaDepartment of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS 39216, United States.
Ali FatemiDepartment of Radiation Oncology, University of Mississippi Medical Center, Jackson, MS 39216, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimDetermine the 1) effectiveness of correction for gradient-non-linearity and susceptibility effects on both QUASAR GRID

backgroundUsing magnetic resonance imaging (MRI) as a primary dataset for radiotherapy planning requires correction for geometrical distortion and non-uniform intensity. MATERIALS AND

methods

resultsMaximum deviation improvements:

conclusionsThe phantom data show the validity of our fast distortion correction algorithm. Patient-specific data are acquired in <2 min and analyzed and available for planning in less than a minute.

Indexed as

Intracranial brain tumor radiotherapyMagnetic resonance imagingMRI guided radiotherapyMRI image geometric distortion correctionRadiotherapy

Identifiers

PMID31660053
PMCPMC6807066

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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.