Evidence map›Paper›PMID 36358379›Full record

ArticleBrain sciences2022

The Application of Software "Rapid Processing of Perfusion and Diffusion" in Acute Ischemic Stroke.

Yudi Zhang, Shuang Song, Zhenzhong Li, Boyuan Huang, Yanlu Geng, Lihong Zhang

Abstract read
In one paragraph

Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

6 authors.

Yudi ZhangDepartment of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China.
Shuang SongDepartment of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China.
Zhenzhong LiDepartment of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China.
Boyuan HuangDepartment of Radiology, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China.
Yanlu GengDepartment of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China.
Lihong ZhangDepartment of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China.ORCID 0000-0002-8944-6441

Funding

the Project of the Second Hospital of Hebei Medical University and CSPC NBP Pharmaceutical Co., Ltd No. 303-09-02-32
6 · The paper itself

Abstract

In the event of an acute ischemic stroke, saving the penumbra is the most important aspect of early treatment. The rapid and accurate identification of ischemic penumbra plays a key role in its comprehensive treatment. At present, the identification method and evaluation standard of ischemic penumbra have not been unified. Numerous pieces of software identifying ischemic penumbra have been developed, such as rapid processing of perfusion and diffusion (RAPID), Sphere, Vitrea, and computed tomography perfusion+ (CTP+). The RAPID software, analyzing and integrating multi-mode image data (mainly based on perfusion weighted imaging (PWI) or computed tomography perfusion (CTP) images, shows good performance in identifying ischemic penumbra and has been utilized for the assessment of ischemic penumbra in many ischemic stroke clinical studies, achieving good outcomes and promoting the transition from "time window" to "tissue window" in the treatment of early stage AIS. To obtain a comprehensive understanding of the RAPID software and its accuracy in evaluating ischemic penumbra, this paper reviews the background and development of the RAPID software, summarizes the published acute cerebral infarction trials using the RAPID software, generalizes the threshold parameters in different time windows, and further discusses its application and limitations.

Indexed as

acute ischemic strokeCTPPWIRAPID software

Identifiers

PMID36358379
PMCPMC9688896

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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.