Evidence map›Paper›PMID 40053285›Full record

ArticleJapanese journal of radiology2025

CZT-based photon-counting-detector CT with deep-learning reconstruction: image quality and diagnostic confidence for lung tumor assessment.

Tomoaki Sasaki, Hirofumi Kuno, Keiichi Nomura, Yoshihisa Muramatsu, Keiju Aokage, Joji Samejima, Tetsuro Taki, Eisuke Goto, Masashi Wakabayashi, Hideki Furuya and 2 more

Abstract read
In one paragraph

Article in Japanese journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
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

12 authors.

Tomoaki SasakiDepartment of Diagnostic Radiology, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan. tomoaki3est@gmail.com.ORCID http://orcid.org/0000-0001-6811-2381
Hirofumi KunoDepartment of Diagnostic Radiology, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.ORCID http://orcid.org/0000-0002-4337-2782
Keiichi NomuraDepartment of Medical Information, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.ORCID http://orcid.org/0000-0002-9832-7524
Yoshihisa MuramatsuDepartment of Diagnostic Radiology, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.ORCID http://orcid.org/0000-0002-3485-9978
Keiju AokageDepartment of Thoracic Surgery, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
Joji SamejimaDepartment of Thoracic Surgery, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.ORCID http://orcid.org/0000-0002-9615-7883
Tetsuro TakiDepartment of Pathology and Clinical Laboratories, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
Eisuke GotoDepartment of Thoracic Surgery, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
Masashi WakabayashiClinical Research Support Office, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
Hideki FuruyaClinical Research Support Office, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.ORCID http://orcid.org/0009-0007-8879-945X
Hiroki TaguchiCanon Medical Systems Corporation, 1385 Shimoishigami, Otawara, Tochigi, 324-8550, Japan.
Tatsushi KobayashiDepartment of Diagnostic Radiology, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.ORCID http://orcid.org/0000-0002-7310-2097

Funding

Canon Medical Systems Corporation C2023-255Japan Society for the Promotion of Science 22K07708
6 · The paper itself

Abstract

purposeThis is a preliminary analysis of one of the secondary endpoints in the prospective study cohort. The aim of this study is to assess the image quality and diagnostic confidence for lung cancer of CT images generated by using cadmium-zinc-telluride (CZT)-based photon-counting-detector-CT (PCD-CT) and comparing these super-high-resolution (SHR) images with conventional normal-resolution (NR) CT images. MATERIALS AND

methodsTwenty-five patients (median age 75 years, interquartile range 66-78 years, 18 men and 7 women) with 29 lung nodules overall (including two patients with 4 and 2 nodules, respectively) were enrolled to undergo PCD-CT. Three types of images were reconstructed: a 512 × 512 matrix with adaptive iterative dose reduction 3D (AIDR 3D) as the NR

resultsIn the qualitative analysis, compared to NR

conclusionIn PCD-CT, SHR

Indexed as

Deep LearningLung NeoplasmsRadiographic Image Interpretation, Computer-AssistedTelluriumTomography, X-Ray ComputedAgedCadmiumFemaleHumansLungMalePhotonsProspective StudiesZincCadmiumCdZnTeTelluriumZincCadmium–zinc–tellurideComputed tomographyLung tumorPhoton-counting detector

Identifiers

PMID40053285
PMCPMC12205019

What OpenQuestion holds

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LicenceCC BY
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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.