Evidence map›Paper›PMID 41343263›Full record

ArticleDento maxillo facial radiology2026

A mouse-tracking study on visualization of panoramic radiographs among Oral & Maxillofacial Radiology faculty.

Li Zhen Lim, Chun Ning Fong, Joey Jia Yi Lee, Pei Hua Cher, Yu Fan Sim, Peggy P Lee

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

6 authors.

Li Zhen LimFaculty of Dentistry, National University of Singapore, Singapore 119085, Singapore.ORCID 0000-0002-8553-0304
Chun Ning FongMOH Holdings Pte Ltd, Singapore 139691, Singapore.
Joey Jia Yi LeeMOH Holdings Pte Ltd, Singapore 139691, Singapore.
Pei Hua CherDuke-NUS Medical School, National University of Singapore, Singapore 169857, Singapore.ORCID 0000-0002-2700-4963
Yu Fan SimFaculty of Dentistry, National University of Singapore, Singapore 119085, Singapore.ORCID 0000-0003-3191-5046
Peggy P LeeSchool of Dentistry, University of Washington, Seattle, WA 98195-6365, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPanoramic radiographs (PANs) are a commonly used dental imaging modality and are complex to evaluate. This study aimed to use mouse-tracking technology to identify the visualization characteristics of experienced Oral & Maxillofacial Radiology (OMR) faculty when reviewing PANs and to assess relationships with detection accuracy.

methodsSeventeen OMR faculty in US dental schools with 5 to 38 years of experience were recruited. Participants were shown 17 PANs (5 "Normal" and 12 "Pathology") over Zoom and instructed to move their mouse cursor in sync with their eye movements. Data collection was based on video recordings with X, Y coordinates auto-detected using mouse-tracking algorithms. Parameters collected included detection accuracy, time taken, completeness of search coverage, revisits and search patterns used.

resultsMost common search patterns were Dental to Periphery (41.5%) and Periphery to Dental (37.7%). The mean accuracy score for all cases with pathology was 84.8%. Except for 2 cases with subtle findings (condylar fracture and fibrous dysplasia), mean accuracy scores ranged from 76.5% to 100%. There were no associations between search patterns and detection accuracy. Participants took longer durations and performed more complete searches with more revisits on "Normal" cases. They were more likely to use shorter search times with smaller coverage and perform single searches when correctly detecting lesions.

conclusionsExperienced OMRs were able to detect lesions without scanning the entire PAN and within a single search, regardless of the search pattern used. ADVANCES IN KNOWLEDGE: This is the first study using mouse-tracking algorithms to evaluate visualization characteristics on PANs. Experienced OMRs can conduct efficient and accurate reviews of PANs regardless of search strategy.

Indexed as

Computer PeripheralsFaculty, DentalRadiography, PanoramicAlgorithmsHumansRadiologydental educationdiagnosisdiagnostic imagingeye movementspanoramic radiography

Identifiers

PMID41343263
PMCPMC13132168

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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.