Evidence map›Paper›PMID 42415330›Full record

ArticleJournal of applied clinical medical physics2026

Potential of quantitative X-ray imaging from photon-counting CT: A novel analysis based on effective atomic number and physical density.

Takashi Asahara, Rina Nishigami, Natsumi Kimoto, Mana Mitani, Yusuke Morimitsu, Noriaki Akagi, Fumiyo Higaki, Toshihiro Iguchi, Takao Hiraki, Hiroaki Hayashi

Abstract read
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In one paragraph

Article in Journal of applied clinical medical physics, 2026. 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

10 authors.

Takashi AsaharaDepartment of Radiological Technology, Faculty of Health Sciences, Okayama University, Okayama, Japan.ORCID https://orcid.org/0000-0002-2070-5513
Rina NishigamiGraduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.
Natsumi KimotoDepartment of Radiological Science, Faculty of Health Sciences, Junshin Gakuen University, Fukuoka, Japan.
Mana MitaniDivision of Radiological Technology, Medical Support Department, Okayama University Hospital, Okayama, Japan.
Yusuke MorimitsuDivision of Radiological Technology, Medical Support Department, Okayama University Hospital, Okayama, Japan.
Noriaki AkagiDivision of Radiological Technology, Medical Support Department, Okayama University Hospital, Okayama, Japan.
Fumiyo HigakiDepartment of Radiology, Medical Development Field, Okayama University, Okayama, Japan.
Toshihiro IguchiDepartment of Radiological Technology, Faculty of Health Sciences, Okayama University, Okayama, Japan.
Takao HirakiDepartment of Radiology, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Hiroaki HayashiCollege of Transdisciplinary Sciences for Innovation, Kanazawa University, Kanazawa, Ishikawa, Japan.ORCID https://orcid.org/0000-0002-8836-5068

Funding

Cardiovascular Research Fund 2024Grant for Young Researchers from the JGC-S (Nikki-Saneyoshi) Scholarship Foundation No.2509,2025KAKENHI 24K03306KAKENHI 24K23055KAKENHI 25K21586KAKENHI 25K21600Kurata Grants from the Hitachi Global Foundation 2024Suzuki Memorial FoundationTeraoka Scholarship Foundation 2024
6 · The paper itself

Abstract

backgroundConventional CT assessment of lung lesions is based mainly on morphological features. CT values represent relative X-ray attenuation that does not directly reflect tissue composition and/or physical density. Quantitative imaging using photon-counting CT (PC-CT) has the potential to provide quantitative parameters, such as effective atomic number (Z PURPOSE: The purpose is to develop and demonstrate the potential of an algorithm that generates both the Z

methodsThe ρ

resultsIn experiments using low-density phantoms, the CT values did not necessarily correlate with Z

conclusionsThe proposed procedure directly generated Z

Indexed as

AlgorithmsImage Processing, Computer-AssistedLung NeoplasmsPhantoms, ImagingPhotonsTomography, X-Ray ComputedHumansRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-Assistedcomputed tomographydensity imagephoton‐countingvirtual monoenergetic imageX‐ray diagnosis

Identifiers

PMID42415330
PMCPMC13341953

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Registered trials

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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.