Evidence map›Paper›PMID 29387672›Full record

ArticleAdvanced biomedical research2017

Evaluation of Effective Parameters on Quality of Magnetic Resonance Imaging-computed Tomography Image Fusion in Head and Neck Tumors for Application in Treatment Planning.

Atefeh Shirvani, Keyvan Jabbari, Alireza Amouheidari

Open access · goldAbstract read
In one paragraph

Article in Advanced biomedical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 76% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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

3 authors at 2 institutions in 1 country.

Atefeh ShirvaniDepartment of Medical Physics and Engineering, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Keyvan JabbariDepartment of Medical Physics and Engineering, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Alireza AmouheidariDepartment of Radiation Oncology, Isfahan Milad Hospital, Isfahan, Iran.
Isfahan University of Medical Sciences · IRMilad Hospital · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn radiation therapy, computed tomography (CT) simulation is used for treatment planning to define the location of tumor. Magnetic resonance imaging (MRI)-CT image fusion leads to more efficient tumor contouring. This work tried to identify the practical issues for the combination of CT and MRI images in real clinical cases. The effect of various factors is evaluated on image fusion quality. MATERIALS AND

methodsIn this study, the data of thirty patients with brain tumors were used for image fusion. The effect of several parameters on possibility and quality of image fusion was evaluated. These parameters include angles of the patient's head on the bed, slices thickness, slice gap, and height of the patient's head.

resultsAccording to the results, the first dominating factor on quality of image fusion was the difference slice gap between CT and MRI images (cor = 0.86,

conclusionThe most important problem in image fusion is that MRI images are taken without regard to their use in treatment planning. In general, parameters related to the patient position during MRI imaging should be chosen to be consistent with CT images of the patient in terms of location and angle.

Indexed as

Computed tomographyimage fusionmagnetic resonance imagingtreatment planning

Identifiers

PMID29387672
PMCPMC5767802
OpenAlexW2778790429

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LicenceCC BY-NC-SA
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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.