Evidence map›Paper›PMID 40715825›Full record

ArticleEuropean radiology2026

Quantifying whole lung iron oxide deposition with dual-energy CT for diagnosis of arc-welders' pneumoconiosis.

Weiling Wang, Yuan Ou, Lixin Lu, Minxue Wang, Ming Lu, Suping Chen, Jianyu Li, Ling Luo, Bingru Liu, Qiong Yang

Abstract read
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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.

Weiling WangDepartment of Radiology, Guiqian International General Hospital, Guiyang, People's Republic of China.
Yuan OuDepartment of Radiology, Guiqian International General Hospital, Guiyang, People's Republic of China. oy718972627@hotmail.com.ORCID http://orcid.org/0000-0003-3781-0093
Lixin LuDepartment of Radiology, Guiqian International General Hospital, Guiyang, People's Republic of China.
Minxue WangDepartment of Radiology, Guiqian International General Hospital, Guiyang, People's Republic of China.
Ming LuDepartment of Radiology, Guiqian International General Hospital, Guiyang, People's Republic of China.
Suping ChenCT Research Center, GE HealthCare, Changsha, People's Republic of China.
Jianyu LiDepartment of Radiology, Guiqian International General Hospital, Guiyang, People's Republic of China.
Ling LuoDepartment of Radiology, Guiqian International General Hospital, Guiyang, People's Republic of China.
Bingru LiuDepartment of Radiology, Guiqian International General Hospital, Guiyang, People's Republic of China.
Qiong YangDepartment of Radiology, Guiqian International General Hospital, Guiyang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAccurately quantify pulmonary iron oxide by dual-energy CT (DECT) and evaluate its diagnostic potential in arc-welders' pneumoconiosis (AWP). MATERIALS AND

methodsThis prospective, single‑center diagnostic accuracy study (April 2024 to October 2024) included three groups: welders, mimic-imaging, and healthy controls. DECT quantified whole-lung Fe

resultsIn vitro experiments showed a strong correlation between measured and actual Fe

conclusionQuantification of pulmonary iron oxide deposition using DECT can aid in the differential diagnosis of AWP. KEY POINTS: Question Due to overlapping imaging features between AWP and other diffuse pulmonary diseases, a definitive diagnosis is difficult based solely on imaging. Findings Pulmonary D

Indexed as

Ferric CompoundsLungOccupational DiseasesPneumoconiosisTomography, X-Ray ComputedAdultCase-Control StudiesFemaleHumansMaleMiddle AgedProspective StudiesSensitivity and SpecificityFerric Compoundsferric oxideComputed tomographic scintigraphyIronPneumoconiosis

Identifiers

PMID40715825
PMCPMC12712031

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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.