Evidence map›Paper›PMID 33458363›Full record

ArticlePhysics and imaging in radiation oncology2018

Evaluation of diffusion weighted imaging for tumor delineation in head-and-neck radiotherapy by comparison with automatically segmented

Tim Schakel, Boris Peltenburg, Jan-Willem Dankbaar, Carlos E Cardenas, Michalis Aristophanous, Chris H J Terhaard, Johannes M Hoogduin, Marielle E P Philippens

Open access · goldAbstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

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  10. Imaging science and development in modern high-precision radiotherapy.Physics and imaging in radiation oncology · 2019
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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

8 authors at 2 institutions in 2 countries.

Tim SchakelDepartment of Radiotherapy, University Medical Center, Utrecht, The Netherlands.
Boris PeltenburgDepartment of Radiotherapy, University Medical Center, Utrecht, The Netherlands.
Jan-Willem DankbaarDepartment of Radiology, University Medical Center, Utrecht, The Netherlands.
Carlos E CardenasDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, TX, USA.
Michalis AristophanousDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, TX, USA.
Chris H J TerhaardDepartment of Radiotherapy, University Medical Center, Utrecht, The Netherlands.
Johannes M HoogduinDepartment of Radiology, University Medical Center, Utrecht, The Netherlands.
Marielle E P PhilippensDepartment of Radiotherapy, University Medical Center, Utrecht, The Netherlands.
University Medical Center Utrecht · NLThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeDiffusion weighted (DW) MRI may facilitate target volume delineation for head-and-neck (HN) radiation treatment planning. In this study we assessed the use of a dedicated, geometrically accurate, DW-MRI sequence for target volume delineation. The delineations were compared with semi-automatic segmentations on METHODS AND MATERIALS: Fifteen HN cancer patients underwent both DW-MRI and FDG-PET for RT treatment planning. Target delineation on DW-MRI was performed by three observers, while for PET a semi-automatic segmentation was performed using a Gaussian mixture model. For interobserver variation and intermodality variation, volumes, overlap metrics and Hausdorff distances were calculated from the delineations.

resultsThe median volumes delineated by the three observers on DW-MRI were 10.8, 10.5 and 9.0 cm

conclusionUsing a dedicated DW-MRI sequence, target volumes could be defined with good interobserver agreement and a good overlap with PET. Target volume delineation using DW-MRI is promising in head-and-neck radiotherapy, combined with other modalities, it can lead to more precise target volume delineation.

Indexed as

Diffusion MRIHead and neckPETRadiotherapyTarget volume delineation

Identifiers

PMID33458363
PMCPMC7807628
OpenAlexW2790410590

What OpenQuestion holds

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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.