Evidence map›Paper›PMID 41789182›Full record

SynthesisFrontiers in medicine2025

Diagnostic performance of dual-energy CT for differentiating acute intracranial hemorrhage from contrast staining: a systematic review and meta-analysis.

Wenbin Ji, Yaosheng Shi

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Wenbin JiDepartment of Medical Imaging, Shanghai Electric Power Hospital, Shanghai, China.
Yaosheng ShiDepartment of Medical Imaging, Shanghai Electric Power Hospital, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate differentiation between acute intracranial hemorrhage (AIH) and contrast staining (CS) on follow-up computed tomography (CT) scans in patients with acute stroke, particularly after endovascular thrombectomy, is a critical clinical challenge. Dual-energy CT (DECT), with its capability for material decomposition, has emerged as a promising solution. This systematic review and meta-analysis aims to determine the overall diagnostic accuracy of DECT for this crucial distinction. Methods: We conducted a systematic search of PubMed, Embase, the Cochrane Library, and Web of Science from their inception until September 30, 2025. The quality of the included studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. Diagnostic performance was evaluated by calculating pooled estimates for sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the area under the summary receiver operating characteristic curve (AUC). Results: Twelve studies, involving 561 patients and 646 lesions, met the eligibility criteria and were included. The pooled diagnostic performance of DECT for differentiating AIH from CS was as follows: sensitivity, 0.90 (95% CI: 0.79-0.96); specificity, 0.98 (95% CI: 0.94-1.00); PLR, 55.91 (95% CI: 14.64-213.53); NLR, 0.10 (95% CI: 0.04-0.23); DOR, 154.76 (95% CI: 64.55-371.02); and AUC, 0.99 (95% CI: 0.97-0.99). Subgroup analysis revealed that in populations with a male proportion ≥60%, DECT demonstrated higher sensitivity, a lower NLR, and a higher AUC. Studies published in or after 2015 showed a significantly higher AUC than those published before 2015. Additionally, the subgroup of patients aged >65 years had a higher AUC compared to younger age groups. Conclusion: DECT exhibits high diagnostic performance in differentiating AIH from CS. It shows particularly superior results in populations with a higher proportion of males, in older patients, and in more recent studies. However, the presence of potential publication bias may affect the reliability of these findings, underscoring the need for further high-quality studies for validation. Systematic review registration: https://inplasy.com/wp-content/uploads/2025/10/INPLASY-Protocol-8414.pdf, identifier (INPLASY2025100088).

Indexed as

acute intracranial hemorrhagecontrast stainingdiagnostic performancedual-energy CTsystematic review

Identifiers

PMID41789182
PMCPMC12957155

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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.