Evidence map›Paper›PMID 41286319›Full record

ArticleScientific reports2025

A bicentric study on the application of dual energy CT for predicting hemorrhagic transformation post endovascular thrombectomy.

Gangming Zhu, Fanqi Xia, Gai Yang, Yongde Dong, Ruiting Zhu, Yuanman Tan, Tuanxin Xu, Dingxing Mo, Chengkang Liu, Nuo Chen and 6 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 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

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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

16 authors.

Gangming ZhuDepartment of Radiology, Dongguan Songshan Lake TungWah Hospital, Dongguan, 523808, China. aming955@gdmu.edu.cn.
Fanqi XiaGuangdong Medical University, Dongguan, 523808, China.
Gai YangDepartment of Radiology, Dongguan TungWah Hospital, Dongguan, 523110, China.
Yongde DongDepartment of Radiology, Dongguan Songshan Lake TungWah Hospital, Dongguan, 523808, China.
Ruiting ZhuDepartment of Radiology, Dongguan Songshan Lake TungWah Hospital, Dongguan, 523808, China.
Yuanman TanDepartment of Radiology, Dongguan Songshan Lake TungWah Hospital, Dongguan, 523808, China.
Tuanxin XuDepartment of Radiology, Dongguan TungWah Hospital, Dongguan, 523110, China.
Dingxing MoDepartment of Radiology, Dongguan Songshan Lake TungWah Hospital, Dongguan, 523808, China.
Chengkang LiuDepartment of Radiology, Dongguan Songshan Lake TungWah Hospital, Dongguan, 523808, China.
Nuo ChenDepartment of Radiology, Dongguan Songshan Lake TungWah Hospital, Dongguan, 523808, China.
Zihuan FuDepartment of Radiology, Dongguan Songshan Lake TungWah Hospital, Dongguan, 523808, China.
Zengjin LinDepartment of Radiology, Dongguan Songshan Lake TungWah Hospital, Dongguan, 523808, China.
Wenjun SuDepartment of Radiology, Dongguan Songshan Lake TungWah Hospital, Dongguan, 523808, China.
Siyi YangDepartment of Radiology, Dongguan Songshan Lake TungWah Hospital, Dongguan, 523808, China.
Decheng ChenDepartment of Radiology, Dongguan Songshan Lake TungWah Hospital, Dongguan, 523808, China.
Xusen LiangDepartment of Radiology, Dongguan Songshan Lake TungWah Hospital, Dongguan, 523808, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemorrhagic transformation (HT) critically impacts outcomes in acute ischemic stroke (AIS) patients post-endovascular thrombectomy (EVT). Building upon the validated utility of post-EVT dual-energy CT (DECT), this study focused on developing and integrating a DECT-based predictive model with key clinical variables to achieve precise, individualized quantification of HT risk. This retrospective study analyzed 116 thrombectomy treated AIS patients stratified by HT status. Post-EVT DECT within 24 h assessed CT values (in Hounsfield Units, HU) of ischemic lesions on mixed energy images; CT values (in HU) on virtual non-contrast (VNC) images and on Sn80 keV and Sn150 keV monoenergetic images; absolute iodine concentrations (AIC, in mg/mL); and relative iodine concentrations (RIC, in %, where RIC = lesion AIC/sigmoid sinus AIC), using follow-up imaging and clinical criteria as the gold standard for HT.. HT patients exhibited higher NIHSS (median 14.5 vs. 9.0) and lower ASPECTS (9 vs. 13) than non-HT (nHT) counterparts, with elevated glucose (GLU, 8.26 vs. 6.45 mmol/L) and lower systolic blood pressure (SBP, 147.5 vs. 156.5 mmHg) (all P < 0.050). DECT-derived parameters demonstrated diagnostic utility, with both iodine overlay maps (IOM) and VNC positivity (χ

Indexed as

Cerebral HemorrhageEndovascular ProceduresIschemic StrokeThrombectomyTomography, X-Ray ComputedAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesDual-energy computed tomographyEndovascular thrombectomyHemorrhagic transformationIschemic strokeNeuroimaging

Identifiers

PMID41286319
PMCPMC12644481

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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.