Evidence map›Paper›PMID 42638292›Full record

ArticleJournal of applied clinical medical physics2026

How bone mis-segmentation affects MRI-based sCT dosimetry in head and neck radiotherapy: A CT-referenced study.

Laura Sayaque, Nils Tanneau, Charlène Bouyer, Benjamin Leporq, Oliver Hamelin, Frank Pilleul, Vincent Gregoire, Olivier Beuf

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Article in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Laura SayaqueINSA-Lyon, Université Lyon 1, CNRS, Inserm, CREATIS, UMR5220, U1294, Villeurbanne, France.
Nils TanneauINSA-Lyon, Université Lyon 1, CNRS, Inserm, CREATIS, UMR5220, U1294, Villeurbanne, France.ORCID https://orcid.org/0009-0005-1366-5372
Charlène BouyerDepartment of medical physics, Centre de lutte contre le cancer Léon Bérard, Lyon, France.
Benjamin LeporqINSA-Lyon, Université Lyon 1, CNRS, Inserm, CREATIS, UMR5220, U1294, Villeurbanne, France.ORCID https://orcid.org/0000-0002-3408-4156
Oliver HamelinDepartment of radiology, Centre de lutte contre le cancer Léon Bérard, Lyon, France.
Frank PilleulINSA-Lyon, Université Lyon 1, CNRS, Inserm, CREATIS, UMR5220, U1294, Villeurbanne, France.ORCID https://orcid.org/0000-0002-9643-5230
Vincent GregoireDepartment of radiotherapy, Centre de lutte contre le cancer Léon Bérard, Lyon, France.
Olivier BeufINSA-Lyon, Université Lyon 1, CNRS, Inserm, CREATIS, UMR5220, U1294, Villeurbanne, France.ORCID https://orcid.org/0000-0002-4516-4565

Funding

HERESP ANR-22-CE19-0027LabEx PRIMES ANR-11-LABX-0063LyriCAN+ INCa INSERM DGOS 1256
6 · The paper itself

Abstract

backgroundMagnetic resonance imaging (MRI) is commonly used for head-and-neck (H&N) delineation in radiotherapy (RT) owing to the lack of contrast in computed tomography (CT) images. MRI-based dosimetry is not yet fully developed for the H&N area due to the inter-patient variability and the difficulty of accurately quantifying cortical bone based on MRI measure. PURPOSE: Despite the difficulty of cortical bone segmentation with nearby air area, most papers in the literature show dosimetry results very close to the reference CT scan dosimetry. This study evaluated the impact of bone segmentation on dosimetry.

methodsA home-made phantom was used to evaluate the Hounsfield unit (HU) values of different tissue at diverse scanner energies. Different dosimetry plans were considered and compared with the reference CT-based RT plan used for the treatment: CT images with cortical bone voxels assigned to the density of water and three based on MR images using a density assignment (DA) method for synthetic CT (sCT) generation with various bone attribution. Images from 24 patients were compared using mean absolute error (MAE). The generated dosimetry parameters were compared on the basis of dose-volume histogram values and 3%/3 mm gamma pass rates.

resultsAmong the sCT, the best MAE were found for the DA sCT without bone. The mean of the median dose difference for the planning tumor volume (PTV) was less than 2% for all sCT. Mean gamma pass rate for the MR-based sCTs were comparable.

conclusionsThe DA of the bone can be of interest if correctly segmented, but in the absence of certainty, an overestimation will lead to significant errors while an underestimation gives results close to the reference. The relevance of very precise sCT can be questioned if it requires too many resources and overlooks patients with artifacts.

Indexed as

Head and Neck NeoplasmsImage Processing, Computer-AssistedMagnetic Resonance ImagingPhantoms, ImagingRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedHumansOrgans at RiskRadiometryRadiotherapy DosageRadiotherapy, Intensity-Modulatedbone classificationdosimetryhead and neck radiotherapytreatment planning

Identifiers

PMID42638292
PMCPMC13504012

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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.