Evidence map›Paper›PMID 40606366›Full record

ArticleQuantitative imaging in medicine and surgery2025

Effects of iterative metal artifact reduction techniques on diagnostic performance in patients with dental artifacts on carotid computed tomography angiography.

Jun Xu, Honghao Wang, Chenxi Wang, Ruixin Yan, Yupeng Zhu, Chao Zhuang, Zhihui Xu, Yan Zhang, Ning Lang

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 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

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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

2 citing papers in PubMed.

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4 · The record

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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

9 authors.

Jun XuDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Honghao WangDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Chenxi WangDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Ruixin YanDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Yupeng ZhuDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Chao ZhuangDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Zhihui XuDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Yan ZhangDepartment of Radiology, Peking University Third Hospital, Beijing, China.
Ning LangDepartment of Radiology, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0003-1860-2918

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metal artifacts (MAs) induced by dental prostheses in carotid computed tomography angiography (CTA) significantly impair diagnostic accuracy. This study aimed to assess the efficacy of the iterative metal artifact reduction (iMAR) technique in mitigating these artifacts. Methods: Eighty-one patients with suspected vascular disorders and dental prostheses who underwent CTA imaging were retrospectively included. The CTA images were reconstructed with and without iMAR (iMAR-CTA and non-iMAR-CTA) for evaluation. Additionally, 81 matched patients without dental prostheses who underwent CTA imaging (standard CTA) served as a reference group for objective image quality assessment. Objective image quality involving signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and artifact index (AI) were analyzed. Subjective image quality was evaluated using a five-point Likert scale. Diagnostic performance was assessed by examining luminal stenosis, calcification, and aneurysm, with digital subtraction angiography (DSA) as the reference standard. Intramodality and inter-radiologist agreements were calculated using the intraclass correlation coefficient (ICC). Results: Image quality score was significantly higher for iMAR-CTA images than non-iMAR-CTA images [radiologist 1, 5 (5-5) Conclusions: iMAR effectively reduces MAs, achieving image quality comparable to standard CTA without artifacts, facilitating a more reliable evaluation of carotid artery disorders in patients with dental prostheses.

Indexed as

Carotid arterycomputed tomography angiography (CTA)metal artifact reduction

Identifiers

PMID40606366
PMCPMC12209623

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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.