Evidence map›Paper›PMID 40606054›Full record

ReviewWorld journal of radiology2025

Advances in dual energy computed tomography approach for proton stopping power ratio computation in radiotherapy.

Charles Ekene Chika

Abstract readReview
In one paragraph

Review in World journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Charles Ekene ChikaDepartment of Mathematics, University of Nigeria, Nsukka 410001, Nigeria. charles.chika@unn.edu.ng.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To address the sensitive and uncertain limitations of single-energy computed tomography (CT) calibration methods in computing proton stopping power ratio during treatment planning, different methods have been proposed using a dual energy CT approach. This paper reviews the most recent dual-energy CT approaches for computing proton stopping power ratio. These include image domain and projection domain methods. The advantages and uncertainties of these methods are analyzed based on existing studies. This paper highlights recent advances in dual energy CT, discussing their implementation, advantages, limitations, and potential for clinical adoption.

Indexed as

Alternating minimization algorithmDual energy computed tomographyElectron densityImage domainMachine learningMathematical modelMean excitation energyProjection domainRadiotherapyStopping power ratio

Identifiers

PMID40606054
PMCPMC12210203

What OpenQuestion holds

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LicenceCC BY-NC
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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.