Evidence map›Paper›PMID 42699778›Full record

ArticlePhysics and imaging in radiation oncology2026

Phantom benchmarking for quality assurance of synthetic computed tomography in cranial magnetic resonance-only radiotherapy.

Bernd-Niklas Axer, Johann Brand, Lucas Pieper, Florian Putz, Johanna Lott, Christoph Dickmann, Rainer Fietkau, Stefanie Corradini, Christoph Bert, Juliane Szkitsak

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Article in Physics and imaging in radiation oncology, 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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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

10 authors.

Bernd-Niklas AxerDepartment of Radiation Oncology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany.
Johann BrandDepartment of Radiation Oncology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany.
Lucas PieperDepartment of Radiation Oncology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany.
Florian PutzDepartment of Radiation Oncology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany.
Johanna LottSiemens Healthineers AG, Forchheim, Germany.
Christoph DickmannSiemens Healthineers AG, Forchheim, Germany.
Rainer FietkauDepartment of Radiation Oncology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany.
Stefanie CorradiniDepartment of Radiation Oncology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany.
Christoph BertDepartment of Radiation Oncology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany.
Juliane SzkitsakDepartment of Radiation Oncology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeSynthetic computed tomography (sCT) from magnetic resonance imaging (MRI) enables computed tomography (CT)-free cranial radiotherapy planning, yet no consensus exists on which head phantoms are usable for sCT quality assurance (QA). This study benchmarked head phantoms to identify the most promising candidates for cranial sCT QA and the design characteristics associated with favorable sCT-to-conventional CT agreement. MATERIALS AND

methodsTen head phantoms underwent clinical MRI (1.5 T) and CT imaging. Two vendor-provided sCT algorithms (2D slice-based, 3D volume-based) were applied to identical input. sCT and CT were compared using Dice similarity coefficient (DSC), 95th-percentile Hausdorff distance (HD95), CT number mean error (ME) within both a self-mask (sCT-derived) and a common-mask (CT-derived), and percentage dose deviations (%ΔD

resultsPhantoms without internal skull-equivalent structures showed bone DSC ≤ 0.001 and common-mask bone ME≤ -1100 HU. Phantoms with skull-equivalent anatomy achieved bone DSC of 0.24-0.71, bone HD95 of 4.2-24.4 mm, and self-mask bone ME between -95 and +470 HU across both algorithms. Common-mask bone ME in skull-containing phantoms ranged from -198 to -1115 HU across both algorithms. Soft-tissue ME stayed within ±120 HU across skull-containing phantoms for both masks. Average absolute |%ΔD

conclusionsInternal skull-equivalent anatomy is a necessary but not sufficient design characteristic; low-susceptibility and MR-compatible materials proved essential. Joint evaluation of geometric, CT number, and dose agreement was required to rank phantom performance. No phantom met all criteria simultaneously.

Indexed as

Head phantomQuality assuranceSynthetic computed tomography

Identifiers

PMID42699778
PMCPMC13544310

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