Evidence map›Paper›PMID 30679218›Full record

ArticleAJNR. American journal of neuroradiology2019

Validating the Automatic Independent Component Analysis of DSA.

J-S Hong, Y-H Kao, F-C Chang, C-J Lin

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

Article in AJNR. American journal of neuroradiology, 2019. 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

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

1 citing paper in PubMed.

  1. Estimation of High Framerate Digital Subtraction Angiography Sequences at Low Radiation Dose.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
    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

4 authors.

J-S HongFrom the Department of Biomedical Imaging and Radiological Sciences (J.-S.H., Y.-H.K.).ORCID 0000-0001-8066-8841
Y-H KaoFrom the Department of Biomedical Imaging and Radiological Sciences (J.-S.H., Y.-H.K.) yhkao@ym.edu.tw.ORCID 0000-0002-4481-9830
F-C ChangSchool of Medicine (F.-C.C., C.-J.L.), National Yang-Ming University, Taipei, Taiwan.ORCID 0000-0001-7267-6497
C-J LinSchool of Medicine (F.-C.C., C.-J.L.), National Yang-Ming University, Taipei, Taiwan.ORCID 0000-0003-2370-6316

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Time-density curve analysis of DSA provides useful blood flow information. However, manually selecting the ROI is time-consuming. We developed an automatic technique to provide arterial, capillary, and venous vasculatures with corresponding time-density curves. This study retrospectively analyzed the data of 36 patients with unilateral carotid stenosis. We found that the full width at half maximum of the time-density curve for the automatically segmented capillary vasculature is a suitable representation of the cerebral circulation time.

Indexed as

AgedAngiography, Digital SubtractionCarotid StenosisFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedRetrospective Studies

Identifiers

PMID30679218
PMCPMC7028680

What OpenQuestion holds

Textmetadata
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.