Evidence map›Paper›PMID 29528037›Full record

ArticlePhysics in medicine and biology2018

A methodology to investigate the impact of image distortions on the radiation dose when using magnetic resonance images for planning.

Yue Yan, Jinzhong Yang, Sam Beddar, Geoffrey Ibbott, Zhifei Wen, Laurence E Court, Ken-Pin Hwang, Mo Kadbi, Sunil Krishnan, Clifton D Fuller and 5 more

Open access · greenAbstract read
In one paragraph

Article in Physics in medicine and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

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  15. Evaluating the accuracy of geometrical distortion correction of magnetic resonance images for use in intracranial brain tumor radiotherapy.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology
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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

15 authors at 2 institutions in 1 country.

Yue YanDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Jinzhong YangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Sam BeddarDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Geoffrey IbbottDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Zhifei WenDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Laurence E CourtDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Ken-Pin HwangDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Mo KadbiMR Therapy, Philips Healthcare, Houston, United States of America.
Sunil KrishnanDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Clifton D FullerDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Steven J FrankDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
James YangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Peter BalterDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Rajat J KudchadkerDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
Jihong WangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, United States of America.
The University of Texas MD Anderson Cancer Center · USPhilips (United States) · US

Funding

imaging Radiation-Associated Dysphagia (iRAD)R01CA218148 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI FULLER, CLIFTON DAVID, HUTCHESON, KATHERINE ARNOLD · 2017 to 2019
$810k
NCI NIH HHS R01 CA218148
6 · The paper itself

Abstract

We developed a novel technique to study the impact of geometric distortion of magnetic resonance imaging (MRI) on intensity-modulated radiation therapy treatment planning. The measured 3D datasets of residual geometric distortion (a 1.5 T MRI component of an MRI linear accelerator system) was fitted with a second-order polynomial model to map the spatial dependence of geometric distortions. Then the geometric distortion model was applied to computed tomography (CT) image and structure data to simulate the distortion of MRI data and structures. Fourteen CT-based treatment plans were selected from patients treated for gastrointestinal, genitourinary, thoracic, head and neck, or spinal tumors. Plans based on the distorted CT and structure data were generated (as the distorted plans). Dose deviations of the distorted plans were calculated and compared with the original plans to study the dosimetric impact of MRI distortion. The MRI geometric distortion led to notable dose deviations in five of the 14 patients, causing loss of target coverage of up to 3.68% and dose deviations to organs at risk in three patients, increasing the mean dose to the chest wall by up to 6.19 Gy in a gastrointestinal patient, and increases the maximum dose to the lung by 5.17 Gy in a thoracic patient.

Indexed as

Magnetic Resonance ImagingRadiation DosageHumansNeoplasmsPhantoms, ImagingRadiotherapy DosageRadiotherapy, Image-GuidedRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedTomography, X-Ray Computed

Identifiers

PMID29528037
PMCPMC7796777
OpenAlexW2790500468

What OpenQuestion holds

Textmetadata
LicenceTDM
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.