Evidence map›Paper›PMID 37345588›Full record

ArticleJournal of applied clinical medical physics2023

The use of image synthesis techniques in target and roi delineation in the upright position.

Andries Niek Schreuder, Nikos Paragios, Michael Kissick, Michelle Lis, Tracy S A Underwood, Rockwell Mackie

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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

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. Article
  2. Article
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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

6 authors.

Andries Niek SchreuderLEO Cancer care, Middleton, Wisconsin, USA.ORCID https://orcid.org/0000-0003-3507-4838
Nikos ParagiosTheraPanacea, Paris, France.
Michael KissickLEO Cancer care, Middleton, Wisconsin, USA.
Michelle LisLEO Cancer care, Middleton, Wisconsin, USA.
Tracy S A UnderwoodDepartment of Medical Physics and Biomedical Engineering, Leo Cancer Care, London, UK.
Rockwell MackieDepartment of Medical Physics and Biomedical Engineering, Leo Cancer Care, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of multi-modality imaging technologies such as CT, MRI, and PET imaging is state of the art for radiation therapy treatment planning. Except for a limited number of low magnetic field MR scanners the majority of such imaging technologies can only image the patient in a recumbent position. Delivering radiation therapy treatments with the patient in an upright orientation has many benefits and several companies are now developing upright patient positioners combined with upright diagnostic helical CT scanners to facilitate upright radiation therapy treatments. Due to the directional changes in the gravitational forces on the patient's body, most structures and organs will change position and shape between the recumbent and upright positions. Detailed knowledge about such structures and organs are therefore often only available in the recumbent position. The problem statement is therefore well defined, that is, how do we know where such structures and organs, that is, the target or region at risk volumes, are in the upright position if those cannot be identified and or delineated accurately enough using the upright diagnostic quality CT images only? This paper outlines two methods based on synthetic CT or MR images to overcome this problem.

Indexed as

Magnetic Resonance ImagingPositron-Emission TomographyHumanssynthetic imagesupright imagingupright radiation therapy

Identifiers

PMID37345588
PMCPMC10402665

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Registered trials

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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.