Evidence map›Paper›PMID 36636382›Full record

ReviewAdvances in radiation oncology

Magnetic Resonance Imaging-Based Delineation of Organs at Risk in the Head and Neck Region.

Viktor R Paczona, Marta E Capala, Borbála Deák-Karancsi, Emőke Borzási, Zsófia Együd, Zoltán Végváry, Gyöngyi Kelemen, Renáta Kószó, László Ruskó, Lehel Ferenczi and 6 more

Open access · goldAbstract readReview
In one paragraph

Review in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

16 authors at 3 institutions in 3 countries.

Viktor R PaczonaDepartment of Oncotherapy, University of Szeged, Szeged, Hungary.
Marta E CapalaErasmus MC Cancer Institute, Rotterdam, The Netherlands.
Borbála Deák-KarancsiGE Healthcare Hungary, Budapest, Hungary.
Emőke BorzásiDepartment of Oncotherapy, University of Szeged, Szeged, Hungary.
Zsófia EgyüdDepartment of Oncotherapy, University of Szeged, Szeged, Hungary.
Zoltán VégváryDepartment of Oncotherapy, University of Szeged, Szeged, Hungary.
Gyöngyi KelemenDepartment of Oncotherapy, University of Szeged, Szeged, Hungary.
Renáta KószóDepartment of Oncotherapy, University of Szeged, Szeged, Hungary.
László RuskóGE Healthcare Hungary, Budapest, Hungary.
Lehel FerencziGE Healthcare Hungary, Budapest, Hungary.
Gerda M VerduijnErasmus MC Cancer Institute, Rotterdam, The Netherlands.
Steven F PetitErasmus MC Cancer Institute, Rotterdam, The Netherlands.
Judit OláhDepartment of Oncotherapy, University of Szeged, Szeged, Hungary.
Adrienne CserhátiDepartment of Oncotherapy, University of Szeged, Szeged, Hungary.
Florian WiesingerGE Healthcare Munich, Munich, Germany;and?>.
Katalin HideghétyDepartment of Oncotherapy, University of Szeged, Szeged, Hungary.
University of Szeged · HUGeneral Electric (Spain) · ESErasmus MC Cancer Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this article is to establish a comprehensive contouring guideline for treatment planning using only magnetic resonance images through an up-to-date set of organs at risk (OARs), recommended organ boundaries, and relevant suggestions for the magnetic resonance imaging (MRI)-based delineation of OARs in the head and neck (H&N) region. Methods and Materials: After a detailed review of the literature, MRI data were collected from the H&N region of healthy volunteers. OARs were delineated in the axial, coronal, and sagittal planes on T2-weighted sequences. Every contour defined was revised by 4 radiation oncologists and subsequently by 2 independent senior experts (H&N radiation oncologist and radiologist). After revision, the final structures were presented to the consortium partners. Results: A definitive consensus was reached after multi-institutional review. On that basis, we provided a detailed anatomic and functional description and specific MRI characteristics of the OARs. Conclusions: In the era of precision radiation therapy, the need for well-built, straightforward contouring guidelines is on the rise. Precise, uniform, delineation-based, automated OAR segmentation on MRI may lead to increased accuracy in terms of organ boundaries and analysis of dose-dependent sequelae for an adequate definition of normal tissue complication probability.

Identifiers

PMID36636382
PMCPMC9830100
OpenAlexW4288885933

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.