Evidence map›Paper›PMID 42677498›Full record

ArticleNeurological research2026

(Holo-PACS): use of holograms to improve provider acumen when reading clinical radiographic scans.

Brett C Meyer, Ben Shifflett, Weichen Liu, Kunal Agrawal, Dawn M Meyer, Reza Bavarsad Shahripour, Royya Modir, Thomas M Hemmen, Sanad Batarseh, Marissa D'Souza and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurological research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Brett C MeyerNeurosciences, University of California San Diego, La Jolla, California, USA.
Ben ShifflettNeurosciences, University of California San Diego, La Jolla, California, USA.
Weichen LiuMathematics, University of California San Diego, La Jolla, California, USA.
Kunal AgrawalNeurosciences, University of California San Diego, La Jolla, California, USA.
Dawn M MeyerNeurosciences, University of California San Diego, La Jolla, California, USA.
Reza Bavarsad ShahripourNeurosciences, University of California San Diego, La Jolla, California, USA.
Royya ModirNeurosciences, University of California San Diego, La Jolla, California, USA.
Thomas M HemmenNeurosciences, University of California San Diego, La Jolla, California, USA.
Sanad BatarsehNeurosciences, University of California San Diego, La Jolla, California, USA.
Marissa D'SouzaNeurosciences, University of California San Diego, La Jolla, California, USA.
Tiffany HuNeurosciences, University of California San Diego, La Jolla, California, USA.
Cattien PhanNeurosciences, University of California San Diego, La Jolla, California, USA.
Amy RadonichImaging Informatics, University of California San Diego, La Jolla, California, USA.
Nadir WeibelComputer Science and Engineering & Design Lab UC San Diego, University of California San Diego, La Jolla, California, USA.

Funding

San Diego StrokeNet Regional Coordinating CenterU24NS107225 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BRETT C MEYER · 2018 to 2026
$2.4M
NINDS NIH HHS U24 NS107225
6 · The paper itself

Abstract

background and purposeVascular Neurology (VN) fellowship education in CTA interpretation is critical, given the increased opportunities for tissue salvage via neurointervention. Holo-Stroke-CTA 3D visualization has already shown improved accuracy and satisfaction for vessel occlusion detection. Our aim in this present analysis was to determine if focused education in CTA reading, including addition of Holo-Stroke-CTA and immediate access to clinical PACS images during team meetings (Holo-PACS), would improve fellow and team education.

methodsFour VN fellows scored 3 sets of de-identified CTAs (DICOM Group-A (

resultsThe overall correct percentage was 63% DICOM Group A vs. 97% Group C Holo-PACS. MCA (75%,94%), ICA (75%,100%), and Basilar (100%,100%) locations scored high, with marked improvement for ACA (13%,100%), and PCA (38%,94%). Likert satisfaction overall was 47% DICOM vs. 94% Holo-PACS. 'Satisfaction' scores were (55%,90%), 'Immersion' (34%,96%), 'Ease of Use' (53%,87%), 'Accuracy' (55%,93%), 'Technology Advancement' (42%,98%), and 'Enthusiasm' (45%,97%).

conclusionsThe Holo-PACS initiative, including focused CTA education and implementing both Holo-Stroke-CTA and secure connection to PACS imaging using Holo-PACS during weekly team meetings, resulted in an improved ability to interpret CTAs and robust immersive satisfaction. Holo-PACS is becoming integral to our stroke education and training, and may serve as a model for vascular neurology fellowship training programs.

Indexed as

augmented realityCTAeducationfellowshipHologramsatisfactionstroke

Identifiers

PMID42677498
PMCPMC13536899

What Socratic 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 Socratic graph.