Evidence map›Paper›PMID 39832952›Full record

ArticleAJNR. American journal of neuroradiology2025

Location-Specific Net Water Uptake and Malignant Cerebral Edema in Acute Anterior Circulation Occlusion Ischemic Stroke.

XiaoQing Cheng, Bing Tian, LiJun Huang, Xi Shen, AnYu Liao, ChangSheng Zhou, Quan Hui Liu, HuiMin Pang, JinJing Tang, BaiYan Luo and 8 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in AJNR. American journal of neuroradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

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

18 authors.

XiaoQing ChengFrom the Department of Medical Imaging (X.C., C.Z., Q.H.L., H.P., J.T., B.L., G.L.), Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0001-7289-9017
Bing TianDepartment of Radiology (B.T., X.T., Y.H., L.C., C.S.), Changhai Hospital of Shanghai, The First Affiliated Hospital of Navy Medical University, Shanghai, China.ORCID https://orcid.org/0000-0003-2446-4363
LiJun HuangDepartment of Medical Imaging (L.H.), the First School of Clinical Medicine, Nanjing Jinling Hospital, Southern Medical University, Nanjing, Jiangsu, China.
Xi ShenDepartment of Medical Imaging (X.S.), Nanjing Jinling Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.
AnYu LiaoDepartment of Neurology (A.L., W.Z.), Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China.ORCID https://orcid.org/0009-0009-2848-379X
ChangSheng ZhouFrom the Department of Medical Imaging (X.C., C.Z., Q.H.L., H.P., J.T., B.L., G.L.), Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0001-6684-6736
Quan Hui LiuFrom the Department of Medical Imaging (X.C., C.Z., Q.H.L., H.P., J.T., B.L., G.L.), Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0002-8261-5070
HuiMin PangFrom the Department of Medical Imaging (X.C., C.Z., Q.H.L., H.P., J.T., B.L., G.L.), Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China.
JinJing TangFrom the Department of Medical Imaging (X.C., C.Z., Q.H.L., H.P., J.T., B.L., G.L.), Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China.
BaiYan LuoFrom the Department of Medical Imaging (X.C., C.Z., Q.H.L., H.P., J.T., B.L., G.L.), Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China.
Xia TianDepartment of Radiology (B.T., X.T., Y.H., L.C., C.S.), Changhai Hospital of Shanghai, The First Affiliated Hospital of Navy Medical University, Shanghai, China.ORCID https://orcid.org/0000-0001-9080-7737
YuXi HouDepartment of Radiology (B.T., X.T., Y.H., L.C., C.S.), Changhai Hospital of Shanghai, The First Affiliated Hospital of Navy Medical University, Shanghai, China.
LuGuang ChenDepartment of Radiology (B.T., X.T., Y.H., L.C., C.S.), Changhai Hospital of Shanghai, The First Affiliated Hospital of Navy Medical University, Shanghai, China.ORCID https://orcid.org/0000-0002-3742-9439
Qian ChenDepartments of Radiology (Q.C., X.Y.)., Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0002-5874-1317
WuSheng ZhuDepartment of Neurology (A.L., W.Z.), Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0003-0668-5832
ChengWei ShaoDepartment of Radiology (B.T., X.T., Y.H., L.C., C.S.), Changhai Hospital of Shanghai, The First Affiliated Hospital of Navy Medical University, Shanghai, China.
XinDao YinDepartments of Radiology (Q.C., X.Y.)., Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu, China y.163yy@163.com.ORCID https://orcid.org/0000-0001-6958-5201
GuangMing LuFrom the Department of Medical Imaging (X.C., C.Z., Q.H.L., H.P., J.T., B.L., G.L.), Nanjing Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China.ORCID https://orcid.org/0000-0003-4913-2314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeEarly identification of malignant cerebral edema (MCE) in patients with acute ischemic stroke is crucial for timely interventions. We aimed to identify regions critically associated with MCE using the ASPECTS to evaluate the association between location-specific net water uptake (NWU) and MCE. MATERIALS AND

methodsThis multicenter, retrospective cohort study included patients with acute ischemic stroke following large anterior circulation occlusion. The ASPECTS was determined by RAPID ASPECTS software. ASPECTS-NWU and Region-NWU were calculated automatically by comparing the Hounsfield unit values in the ischemic and contralateral regions. Critical ASPECTS MCE regions and Region-NWU were evaluated by multivariate logistic regression and the areas under the receiver operating characteristic curves (AUCs).

resultsThe study included 513 patients. Multivariate analysis showed that the ASPECTS insula (OR = 2.49; 95% CI, 1.44-4.31) and M5 (OR = 1.59; 95% CI, 1.11-3.41) regions were significantly associated with MCE. After adjustment, only the insula (OR = 2.34; 95% CI, 1.23-4.45) was independently associated with MCE. Univariable receiver operating characteristic curve analysis found AUCs for Insula-NWU (AUC, 0.70; 95% CI, 0.65-0.76) and ASPECTS-NWU (AUC, 0.64; 95% CI, 0.58-0.70). The Insula-NWU had better diagnostic power than ASPECTS-NWU (DeLong test;

conclusionsThe insula region is critical for MCE, and Insula-NWU has better prediction efficacy than ASPECTS-NWU. This method does not rely on advanced imaging, facilitating rapid assessment in emergencies.

Indexed as

Brain EdemaIschemic StrokeWaterAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesTomography, X-Ray ComputedWater

Identifiers

PMID39832952
PMCPMC12453442

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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.