Evidence map›Paper›PMID 40823803›Full record

ArticleActa oncologica (Stockholm, Sweden)2025

Combined single- and dual-energy CT workflow for dose calculation in radiotherapy.

Hella Sand, Jens Edmund, Ane Appelt, Patrick Wohlfahrt, Vicki Trier Taasti, Laurids Østergaard Poulsen, Jimmi Søndergaard, Martin Skovmos Nielsen

Abstract read
In one paragraph

Article in Acta oncologica (Stockholm, Sweden), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Hella SandDepartment of Medical Physics, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark. hmbs@rn.dk.ORCID 0009-0004-4895-1080
Jens EdmundDepartment of Oncology, Radiotherapy Research Unit, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.ORCID 0000-0001-5831-6209
Ane AppeltLeeds Institute of Medical Research, University of Leeds, Leeds, UK.ORCID 0000-0003-2792-9218
Patrick WohlfahrtSiemens Healthineers, Varian, Cancer Therapy Imaging, Forchheim, Germany.ORCID 0000-0002-2121-0934
Vicki Trier TaastiDanish Centre for Particle Therapy, Aarhus University / Aarhus University Hospital, Aarhus, Denmark.ORCID 0000-0002-4588-9769
Laurids Østergaard PoulsenDepartment of Clinical Medicine, Aalborg University, Aalborg, Denmark; Department of Oncology, Aalborg University Hospital, Aalborg, Denmark.ORCID 0000-0002-0466-976X
Jimmi SøndergaardDepartment of Oncology, Aalborg University Hospital, Aalborg, Denmark.ORCID 0009-0005-2808-8993
Martin Skovmos NielsenDepartment of Medical Physics, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.ORCID 0000-0002-3955-7266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeDual-energy computed tomography (DECT) is increasingly used in radiotherapy delineation due to its enhanced soft tissue contrast. DECT also supports direct dose calculation. However, as most current DECT scanners allow for use in only certain body regions, conventional single-energy computed tomography (SECT) is still needed for some patients. A safe clinical introduction of DECT thus requires a combined workflow. This study therefore investigates whether a unified Hounsfield look-up table (HLUT) can be applied across SECT and DECT reconstructions. Patient/material and methods: A Gammex Advanced Electron Density phantom containing tissue-equivalent inserts was scanned using SECT (70-140 kVp and Sn100-Sn140 kVp, Sn meaning tin-filtered) and dual-spiral DECT to identify matching HLUTs for three SECT methods, including a standard reconstruction (only 120 kVp; Method 1), and kVp-independent reconstructions providing mass density (MD; Method 2) or relative electron density (RED; Method 3). Dose agreement was subsequently tested on two anthropomorphic phantoms. For each SECT method, DECT reconstructions were compared through voxel-wise analysis of computed tomography (CT) numbers, and by performing dose calculations in three anatomical regions: head, thorax, and abdomen/pelvis.

resultsAcross all three SECT methods, DECT reconstructions with acceptable clinical CT number agreement were identified. Corresponding dose calculations between SECT- and DECT-based plans showed minimal differences.

interpretationThis phantom study demonstrates that a unified HLUT can be applied across SECT and DECT using standard 120 kVp, MD, or RED reconstructions. This approach may streamline clinical workflows and support a safe and practical transition to DECT-based treatment planning.

Indexed as

NeoplasmsRadiography, Dual-Energy Scanned ProjectionRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedHumansPhantoms, ImagingRadiotherapy DosageWorkflow

Identifiers

PMID40823803
PMCPMC12371750

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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.