Evidence map›Paper›PMID 39462139›Full record

ArticleScientific reports2024

Analysis of the role of perfusion parameters in predicting rupture of brain arteriovenous malformations: a multi-center study.

Yue Guo, Shaosen Zhang, Shengjun Sun, Qian Zhang, Yuanren Zhai, Xiaochen Wang, Peicong Ge, Dong Zhang

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

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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

1 citing paper in PubMed.

  1. 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

8 authors.

Yue GuoDepartment of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing, China. guoyue310@126.com.
Shaosen ZhangDepartment of Neurosurgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
Shengjun SunDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qian ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yuanren ZhaiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xiaochen WangDepartment of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Peicong GeDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Dong ZhangDepartment of Neurosurgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.

Funding

National Natural Science Foundation of China 81971614
6 · The paper itself

Abstract

This study aimed to investigate the potential correlation between the perfusion parameters of brain arteriovenous malformations (bAVMs) as determined by multiphase CT angiography and bAVM rupture. Based on the occurrence of bAVM-related hemorrhage, 480 diagnosed bAVM patients were divided into hemorrhage (n = 220) and non-hemorrhage (n = 260) groups in this retrospective multi-center study spanning 2010 to 2020. On initial rupture CT images, the bAVM nidus and major draining vein were segmented, and time-density curves were extracted to compute perfusion parameters including mean transit time (MTT), time to peak (TTP), blood volume (BV), and blood flow (BF). To examine the potential correlation between these parameters and bAVM rupture, logistic regression was utilized to analyze multifactorial data and compare differences between the two groups. The ruptured group demonstrated a bAVM nidus characterized by an increased BF, a shorter TTP and MTT, and a higher peak density. The veins that were draining exhibited a reduced TTP, MTT, and peak density. A nidus TTP of less than 4s was identified by the multifactorial analysis as a critical risk factor for bAVM rupture. The statistical results highlight the noteworthy correlation between nidus TTP and bAVM rupture, presenting an original framework for assessing the risk of rupture.

Indexed as

Computed Tomography AngiographyIntracranial Arteriovenous MalformationsAdolescentAdultAgedCerebral AngiographyCerebrovascular CirculationFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsYoung AdultBrain arteriovenous malformationsCerebrovascular circulationComputed tomography angiographyCT perfusionIntracranial hemorrhages

Identifiers

PMID39462139
PMCPMC11513006

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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.