Evidence map›Paper›PMID 32232790›Full record

ArticleEuropean radiology2020

Detection of emergent large vessel occlusion stroke with CT angiography is high across all levels of radiology training and grayscale viewing methods.

Chelsea A Boyd, Mahesh V Jayaraman, Grayson L Baird, William S Einhorn, Matthew T Stib, Michael K Atalay, Jerrold L Boxerman, Ana P Lourenco, Gaurav Jindal, Douglas T Hidlay and 2 more

Abstract read
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Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Chelsea A BoydDepartment of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, 593 Eddy Street, Room 302, Providence, RI, 02903, USA.
Mahesh V JayaramanDepartment of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, 593 Eddy Street, Room 302, Providence, RI, 02903, USA.
Grayson L BairdDepartment of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, 593 Eddy Street, Room 302, Providence, RI, 02903, USA. GBaird@Lifespan.org.
William S EinhornDepartment of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, 593 Eddy Street, Room 302, Providence, RI, 02903, USA.
Matthew T StibDepartment of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, 593 Eddy Street, Room 302, Providence, RI, 02903, USA.
Michael K AtalayDepartment of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, 593 Eddy Street, Room 302, Providence, RI, 02903, USA.
Jerrold L BoxermanDepartment of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, 593 Eddy Street, Room 302, Providence, RI, 02903, USA.
Ana P LourencoDepartment of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, 593 Eddy Street, Room 302, Providence, RI, 02903, USA.
Gaurav JindalDepartment of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, 593 Eddy Street, Room 302, Providence, RI, 02903, USA.
Douglas T HidlayDepartment of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, 593 Eddy Street, Room 302, Providence, RI, 02903, USA.
Eleanor L DiBiasioDepartment of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, 593 Eddy Street, Room 302, Providence, RI, 02903, USA.
Ryan A McTaggartDepartment of Diagnostic Imaging, Warren Alpert School of Medicine at Brown University, 593 Eddy Street, Room 302, Providence, RI, 02903, USA.
Brown University · USRhode Island Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCT angiography (CTA) is essential in acute stroke to detect emergent large vessel occlusions (ELVO) and must be interpreted by radiologists with and without subspecialized training. Additionally, grayscale inversion has been suggested to improve diagnostic accuracy in other radiology applications. This study examines diagnostic performance in ELVO detection between neuroradiologists, non-neuroradiologists, and radiology residents using standard and grayscale inversion viewing methods.

methodsA random, counterbalanced experimental design was used, where 18 radiologists with varying experiences interpreted the same patient images with and without grayscale inversion. Confirmed positive and negative ELVO cases were randomly ordered using a balanced design. Sensitivity, specificity, positive and negative predictive values as well as confidence, subjective assessment of image quality, time to ELVO detection, and overall interpretation time were examined between grayscale inversion (on/off) by experience level using generalized mixed modeling assuming a binary, negative binomial, and binomial distributions, respectively.

resultsAll groups of radiologists had high sensitivity and specificity for ELVO detection (all > .94). Neuroradiologists were faster than non-neuroradiologists and residents in interpretation time, with a mean of 47 s to detect ELVO, as compared with 59 and 74 s, respectively. Residents were subjectively less confident than attending physicians. With respect to grayscale inversion, no differences were observed between groups with grayscale inversion vs. standard viewing for diagnostic performance (p = 0.30), detection time (p = .45), overall interpretation time (p = .97), and confidence (p = .20).

conclusionsDiagnostic performance in ELVO detection with CTA was high across all levels of radiologist training level. Grayscale inversion offered no significant detection advantage. KEY POINTS: • Stroke is an acute vascular syndrome that requires acute vascular imaging. • Proximal large vessel occlusions can be identified quickly and accurately by radiologists across all training levels. • Grayscale inversion demonstrated minimal detectable benefit in the detection of proximal large vessel occlusions.

Indexed as

Clinical CompetenceArterial Occlusive DiseasesCarotid Artery ThrombosisComputed Tomography AngiographyHumansInfarction, Middle Cerebral ArteryRadiologySensitivity and SpecificityStrokeTime FactorsTomography, X-Ray ComputedVertebrobasilar InsufficiencyComputed tomography angiographyRadiologistsStroke

Identifiers

PMID32232790
OpenAlexW3013968448

What OpenQuestion holds

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Registered trials

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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.