Evidence map›Paper›PMID 41209193›Full record

ArticleQuantitative imaging in medicine and surgery2025

Acute stroke diagnosis: diagnostic efficacy of dual-layer spectral computed tomography for non-contrast ischemic sign detection.

Yujie Wang, Weiping Wu, Weifang Liu, Shan Yang, Jun Qin, Bin Liu, Haifeng Zhu

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 1 paper.

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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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yujie WangDepartment of Radiology, Civil Aviation General Hospital, Beijing, China.ORCID https://orcid.org/0000-0001-6740-6476
Weiping WuDepartment of Radiology, Civil Aviation General Hospital, Beijing, China.
Weifang LiuDepartment of Radiology, Civil Aviation General Hospital, Beijing, China.
Shan YangDepartment of Radiology, Civil Aviation General Hospital, Beijing, China.
Jun QinDepartment of Radiology, Civil Aviation General Hospital, Beijing, China.
Bin LiuDepartment of Radiology, Civil Aviation General Hospital, Beijing, China.
Haifeng ZhuDepartment of Radiology, Civil Aviation General Hospital, Beijing, China.ORCID https://orcid.org/0009-0008-4107-570X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-contrast computed tomography (NCCT) is a common imaging technique for suspected acute ischemic stroke (AIS); however, early ischemic changes (EICs) in AIS patients often present with subtle differences on NCCT. Dual-layer spectral computed tomography (DLCT) can reduce artifacts and provide more accurate tissue characterization. This study aimed to assess the effectiveness of DLCT in detecting EICs in AIS patients. Methods: This study included 49 AIS patients who underwent DLCT and magnetic resonance imaging (MRI) within 24 hours. The imaging data were retrospectively analyzed, focusing on quantitative measurements from regions identified as acute infarctions on diffusion-weighted MRI. Various parameters, including conventional computed tomography (CT), virtual monoenergetic (MonoE) CT, effective atomic number (Zeff), and electron density relative to water (EDW) values, were compared between the ischemic and normal brain regions. Results: The area under the curve (AUC) for EDW was the highest [0.859; 95% confidence interval (CI): 0.787-0.914], followed by MonoE 100 keV (0.830; 95% CI: 0.754-0.890). Both of which were higher than that of conventional CT (0.757; 95% CI: 0.674-0.828; P=0.01); however, there was no statistically significant difference between the AUC values of EDW and MonoE 100 keV themselves (P=0.22). EDW had the highest sensitivity (0.831) with a threshold of 102.33%, while MonoE 100 keV had a high specificity (0.846) with a threshold set at 25.83 HU. The AUC of conventional CT was comparable to that of MonoE 70 keV (0.791; 95% CI: 0.711-0.858; P=0.10), while MonoE 40 keV had the lowest AUC (0.577; 95% CI: 0.478-0.675). Conclusions: Overall, the findings suggest that EDW and MonoE 100 keV CT images from DLCT significantly enhance the detection of AIS compared to conventional NCCT imaging.

Indexed as

acute ischemic stroke (AIS)apparent diffusion coefficientDual-layer spectral computed tomography (DLCT)electron density (ED)quantitative analysis

Identifiers

PMID41209193
PMCPMC12591734

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