Evidence map›Paper›PMID 30697915›Full record

ArticleJournal of applied clinical medical physics2019

Evaluation of dosimetric uncertainty caused by MR geometric distortion in MRI-based liver SBRT treatment planning.

Silu Han, Fang-Fang Yin, Jing Cai

Abstract readEvaluation Study
In one paragraph

Article in Journal of applied clinical medical physics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. A technique to generate synthetic CT from MRI for abdominal radiotherapy.Journal of applied clinical medical physics · 2020
    Article
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Silu HanMedical Physics Graduate Program, Duke University Medical Center, Durham, NC, USA.
Fang-Fang YinMedical Physics Graduate Program, Duke University Medical Center, Durham, NC, USA.
Jing CaiMedical Physics Graduate Program, Duke University Medical Center, Durham, NC, USA.

Funding

Varian
6 · The paper itself

Abstract

purposeMRI-based treatment planning is a promising technique for liver stereotactic-body radiation therapy (SBRT) treatment planning to improve target volume delineation and reduce radiation dose to normal tissues. MR geometric distortion, however, is a source of potential error in MRI-based treatment planning. The aim of this study is to investigate dosimetric uncertainties caused by MRI geometric distortion in MRI-based treatment planning for liver SBRT. MATERIALS AND

methodsThe study was conducted using computer simulations. 3D MR geometric distortion was simulated using measured data in the literature. Planning MR images with distortions were generated by integrating the simulated 3D MR geometric distortion onto planning CT images. MRI-based treatment plans were then generated on the planning MR images with two dose calculation methods: (1) using original CT numbers; and (2) using organ-specific assigned CT numbers. Dosimetric uncertainties of various dose-volume-histogram parameters were determined as their differences between the simulated MRI-based plans and the original clinical CT-based plans for five liver SBRT cases.

resultsThe average simulated distortion for the five liver SBRT cases was 2.77 mm. In the case of using original CT numbers for dose calculation, the average dose uncertainties for target volumes and critical structures were <0.5 Gy, and the average target volume percentage at prescription dose uncertainties was 0.97%. In the case of using assigned CT numbers, the average dose uncertainties for target volumes and critical structures were <1.0 Gy, and the average target volume percentage at prescription dose uncertainties was 2.02%.

conclusionsDosimetric uncertainties caused by MR geometric distortion in MRI-based liver SBRT treatment planning was generally small (<1 Gy) when the distortion is 3 mm.

Indexed as

Phantoms, ImagingHumansImage Processing, Computer-AssistedLiver NeoplasmsMagnetic Resonance ImagingOrgans at RiskRadiosurgeryRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedUncertaintyimage distortionliver cancerMRI-based treatment planningradiation therapySBRT

Identifiers

PMID30697915
PMCPMC6370985

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