Evidence map›Paper›PMID 41361282›Full record

ArticleBMC medical imaging2025

Artifact reduction and diagnostic value of monoenergetic reconstructions from split-filter and dual-layer spectral detector dual-energy CT in early gastric cancer with titanium clip localization.

Huanhuan Li, Chao Chen, Lili Wang, Min Zhang, Zhuang Liu

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Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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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

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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

5 authors.

Huanhuan LiDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. huanhuanli2008@126.com.
Chao ChenDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Lili WangNuclear Department of Nuclear Medicine, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 200120, China.
Min ZhangDepartment of Radiology, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, 200120, China.
Zhuang LiuDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. liuzhuang201010@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMetal clip artifacts impair CT evaluation of early-stage gastric cancer (EGC). While various metal artifact reduction techniques exist, their application in this specific clinical context remains insufficiently explored. We assessed virtual monoenergetic images (VMIs) from two dual-energy CT (DECT) systems for reducing titanium clip artifacts in abdominal CT scans. DATA AND

methodsFifty-one EGC patients with gastric titanium clips underwent abdominal DECT using Siemens split-filter DECT (sfDECT) or Philips dual-layer spectral detector CT (DLSCT). Composite images (120 kVp-equivalent image) and VMIs (ranging from 40 to 140 keV) were generated for each patient. Quantitative assessment of image quality was performed by evaluating artifact reduction through noise measurements in the clip-affected region and contrast-to-noise ratios (CNRs) for both lesions and adjacent liver tissue. Two radiologists rated subjective image quality—including overall evaluation, artifacts, lesion visibility, and vascular contrast—using a five-point Likert scale. T staging accuracy on composite images and optimal keV VMIs was compared with pathologic T staging as the reference standard.

resultsArtifacts decreased progressively with higher keV. VMIs at 80–140 keV showed significantly fewer artifacts than composite images (p < 0.05). CNRs declined with increasing keV. Subjective artifact scores improved significantly at 80–140 keV for sfDECT and 90–140 keV for DLSCT compared to composite images. (p < 0.05). Lesion visibility peaked at 70/80 keV for sfDECT and 90/100 keV for DLSCT, while vascular contrast declined at higher keV. T staging accuracy improved from 25.8% with composite images to 80.6% at 70 keV VMIs (sfDECT), and from 30.0% to 85.0% at 90 keV VMIs (DLSCT). CLINICAL RELEVANCE STATEMENT: Combining optimal keV VMIs with composite images improved radiologists’ diagnostic confidence and enhanced T-staging accuracy in EGC patients with titanium clips, compared to composite imaging alone.

conclusionsVMIs at ≥ 80 keV significantly reduced titanium clip artifacts in our cohort but concurrently decreased image contrast. Medium-energy VMIs improve lesion visibility and T staging accuracy in EGC cases. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

ArtifactsStomach NeoplasmsTomography, X-Ray ComputedAgedAged, 80 and overFemaleHumansMaleMiddle AgedNeoplasm StagingRadiographic Image Interpretation, Computer-AssistedRadiography, Dual-Energy Scanned ProjectionSurgical InstrumentsTitaniumTitaniumArtifact reductionDual-energy cTMetal artifactVirtual monoenergetic image

Identifiers

PMID41361282
PMCPMC12683854

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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.