Evidence map›Paper›PMID 37876826›Full record

ArticlePhysics and imaging in radiation oncology2023

Split-filter dual energy computed tomography radiotherapy: From calibration to image guidance.

Jens Edmund, Marianne Feen Rønjom, Mette van Overeem Felter, Christian Maare, Annica Margrete Juul Dam, Eirini Tsaggari, Patrick Wohlfahrt

Open access · goldAbstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 11 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

7 authors at 2 institutions in 2 countries.

Jens EdmundRadiotherapy Research Unit, Department of Oncology, Herlev & Gentofte Hospital, Herlev, Denmark.
Marianne Feen RønjomRadiotherapy Research Unit, Department of Oncology, Herlev & Gentofte Hospital, Herlev, Denmark.
Mette van Overeem FelterRadiotherapy Research Unit, Department of Oncology, Herlev & Gentofte Hospital, Herlev, Denmark.
Christian MaareRadiotherapy Research Unit, Department of Oncology, Herlev & Gentofte Hospital, Herlev, Denmark.
Annica Margrete Juul DamRadiotherapy Research Unit, Department of Oncology, Herlev & Gentofte Hospital, Herlev, Denmark.
Eirini TsaggariRadiotherapy Research Unit, Department of Oncology, Herlev & Gentofte Hospital, Herlev, Denmark.
Patrick WohlfahrtSiemens Healthineers, Forchheim, Germany.
Herlev Hospital · DKSiemens Healthineers (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Dual-energy computed tomography (DECT) is an emerging technology in radiotherapy (RT). Here, we investigate split-filter DECT throughout the RT treatment chain as compared to single-energy CT (SECT). Materials and methods: DECT scans were acquired with a tin-gold split-filter at 140 kV resulting in a low- and high-energy CT reconstruction (recon). Ten cancer patients (four head-and-neck (HN)​, three rectum​, two anal/pelvis and one abdomen) were DECT scanned without and with iodine administered. A cylindrical and an anthropomorphic HN phantom were scanned with DECT and 120 kV SECT. The DECT images generated were: 120 kV SECT-equivalent (CT Results: A calibration curve for 75 keV VMI had a root-mean-square-error (RMSE) of 34 HU in closest agreement with the RSME of SECT calibration. This correlated with a phantom-based dosimetric agreement to SECT of γ Conclusions: DECT-based RT could be a feasible alternative to SECT providing additional recons to support the different steps of the RT workflow.

Indexed as

CalibrationDelineation accuracyDose calculationDual-energy computed tomographyImage guidance

Identifiers

PMID37876826
PMCPMC10590838
OpenAlexW4387007361

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.