Evidence map›Paper›PMID 29859363›Full record

ArticleWorld neurosurgery2018

Evaluation of Angioarchitectural Features of Unruptured Brain Arteriovenous Malformation by Susceptibility Weighted Imaging.

Chun-Xue Wu, Li Ma, Xu-Zhu Chen, Xiao-Lin Chen, Yu Chen, Yuan-Li Zhao, Christopher Hess, Helen Kim, Heng-Wei Jin, Jun Ma

Abstract read
In one paragraph

Article in World neurosurgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 38% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
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

10 authors at 4 institutions in 2 countries.

Chun-Xue WuDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Dongcheng District, Beijing, People's Republic of China.
Li MaDepartment of NeurosurgeryBeijing Tiantan Hospital, Capital Medical University, Dongcheng District, Beijing, People's Republic of China; China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.
Xu-Zhu ChenDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Dongcheng District, Beijing, People's Republic of China.
Xiao-Lin ChenDepartment of NeurosurgeryBeijing Tiantan Hospital, Capital Medical University, Dongcheng District, Beijing, People's Republic of China; China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.
Yu ChenDepartment of NeurosurgeryBeijing Tiantan Hospital, Capital Medical University, Dongcheng District, Beijing, People's Republic of China; China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China.
Yuan-Li ZhaoDepartment of NeurosurgeryBeijing Tiantan Hospital, Capital Medical University, Dongcheng District, Beijing, People's Republic of China; China National Clinical Research Center for Neurological Diseases, Beijing, People's Republic of China; Stroke Center, Beijing Institute for Brain Disorders, Beijing, People's Republic of China; Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, People's Republic of China.
Christopher HessCenter for Cerebrovascular Research, Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, California, USA.
Helen KimCenter for Cerebrovascular Research, Department of Anesthesia and Perioperative Care, University of California San Francisco, San Francisco, California, USA.
Heng-Wei JinInterventional Neuroradiology Beijing Tiantan Hospital, Capital Medical University, Dongcheng District, Beijing, People's Republic of China.
Jun MaDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Dongcheng District, Beijing, People's Republic of China. Electronic address: dr_ma@sina.com.
Beijing Tian Tan Hospital · CNCapital Medical University · CNUniversity of California, San Francisco · USNational Clinical Research Center for Digestive Diseases · CN

Funding

PREDICTORS OF SPONTANEOUS CEREBRAL AVM HEMORRHAGER01NS034949 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KIM, HELEN · 1995 to 2017
$6.5M
NINDS NIH HHS R01 NS034949
6 · The paper itself

Abstract

objectivesA precise assessment of angioarchitectural characteristics using noninvasive imaging is helpful for serial follow-up and weighting risk of natural history in unruptured brain arteriovenous malformation (bAVM). This study aimed to test the hypothesis that susceptibility weighted imaging (SWI) would provide an accurate evaluation of angioarchitectural features of unruptured bAVM.

methodsA total of 81 consecutive patients with unruptured bAVM were examined. Image quality of SWI for the assessment of bAVM angioarchitectural features was determined by a 5-point scale. The accuracy of SWI for detection of angioarchitectural features was evaluated using digital subtraction angiography as a standard reference and further compared among unruptured bAVMs with or without silent intralesional microhemorrhage on SWI to examine the potential confounding effect of microhemorrhage on image analysis.

resultsAll lesions were identified on SWI. Image quality of SWI was judged to be at least adequate for diagnosis (range, 3-5) in all patients by both readers. Using digital subtraction angiography as a reference standard, the area under the receiver operating curve of detection of deep or posterior fossa location, exclusively deep venous drainage, venous ectasia, venous varices, and the presence of associated aneurysm on SWI was 1, 0.93, 0.94, 0.95, and 0.83, respectively. Silent intralesional microhemorrhage were detected in 39 patients (48.15%) on SWI and no significant difference (P > 0.05) was found in angioarchitectural features between patients with and without silent microhemorrhage.

conclusionsSWI might be a noninvasive alternative technique for angiography in the angioarchitectural assessment of unruptured bAVM.

Indexed as

Image Processing, Computer-AssistedAdolescentAdultAngiography, Digital SubtractionArteriovenous FistulaFemaleHumansIntracranial Arteriovenous MalformationsMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesYoung AdultBrain arteriovenous malformationSusceptibility weighted imaging (SWI)Unruptured

Identifiers

PMID29859363
PMCPMC6876549
OpenAlexW2805195342

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.