Evidence map›Paper›PMID 41170700›Full record

ArticleJournal of applied clinical medical physics2025

Improved organ absorbed dose estimation in abdominal CT using DICOM header-based tube current modulation profiles: Validation with measurements and Monte Carlo simulations.

Chatnapa Nuntue, Kosuke Matsubara, Shu Watanabe, Kotaro Fukushima, Khajonsak Tantiwetchayanon

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

Chatnapa NuntueDepartment of Quantum Medical Technology, Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.ORCID https://orcid.org/0009-0002-5004-2092
Kosuke MatsubaraDepartment of Quantum Medical Technology, Faculty of Health Sciences, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.ORCID https://orcid.org/0000-0002-9933-0135
Shu WatanabeDepartment of Quantum Medical Technology, Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.
Kotaro FukushimaDepartment of Quantum Medical Technology, Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.
Khajonsak TantiwetchayanonDepartment of Quantum Medical Technology, Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.ORCID https://orcid.org/0009-0002-9834-7354

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrecise determination of organ absorbed doses in computed tomography (CT) is vital for evaluating radiation risk and optimizing radiation dose. This study aimed to improve the accuracy of organ absorbed dose estimates in abdominal CT by integrating tube current modulation (TCM) profiles-extracted from the Digital Imaging and Communications in Medicine (DICOM) headers-into Monte Carlo (MC) simulations. The proposed study was validated by comparing the simulation results with direct measurements.

methodsThe Particle and Heavy Ion Transport code System (PHITS), an MC simulation model, was validated by comparing its simulated weighted CT dose index (CTDI

resultsThe simulated CTDI

conclusionThe agreement between simulated and measured organ doses, including CTDI

Indexed as

Image Processing, Computer-AssistedMonte Carlo MethodOrgans at RiskPhantoms, ImagingRadiography, AbdominalTomography, X-Ray ComputedComputer SimulationHumansRadiation DosageRadiometryRadiotherapy Planning, Computer-AssistedComputed tomographyMonte Carlo simulationorgan dosephotoluminescent glass dosimetervoxel phantom

Identifiers

PMID41170700
PMCPMC12576459

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