Variables affecting the interpretation of digital dental radiographs

INTRODUCTION The aim of this study was to determine the percentage of computer monitors with optimal contrast and spatial resolution when viewing dental radiographs by assessing a test pattern. The objectives were to determine the factors affecting the viewing conditions of radiographs and to establish methods to optimise these. METHODS Prospective data collection was undertaken with 109 computer monitors, assessing the viewing conditions of the test pattern. Faults were recorded using a standardised form. A reaudit was completed after the implementation of monitor hoods. RESULTS Only 16% of computer monitors met the set standard. More spatial resolution faults were documented than contrast faults (55% vs 45%). A higher proportion of faults was recorded on days with sunny weather (64%) than when it was cloudy, rainy or clear (9–14%). Similarly, there was a higher proportion of faults on monitors that demonstrated full light reflection than those showing no light reflection (26% vs 9%). The reaudit demonstrated improvement, with 32% of monitors meeting the set standard. CONCLUSIONS Reducing extraneous light sources is critical to improving viewing conditions. Despite improvement in computer monitor quality, lack of calibration of monitors highlights the importance of optimising viewing conditions. The intention is to continue to integrate methods to improve display quality, which will help improve patient care.

Authors

Institutions

Publication Details

Journal
Faculty Dental Journal
Published
2025-03-31
DOI
https://doi.org/10.1308/rcsfdj.2025.17
Primary Topic
Radiology practices and education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Variables affecting the interpretation of digital dental radiographs

Maryam Butt, Alisha Amin, Rose Ngu
Faculty Dental Journal
Radiology practices and education
article

Variables affecting the interpretation of digital dental radiographs

Maryam Butt, Alisha Amin, Rose Ngu
article en

Abstract

INTRODUCTION The aim of this study was to determine the percentage of computer monitors with optimal contrast and spatial resolution when viewing dental radiographs by assessing a test pattern. The objectives were to determine the factors affecting the viewing conditions of radiographs and to establish methods to optimise these. METHODS Prospective data collection was undertaken with 109 computer monitors, assessing the viewing conditions of the test pattern. Faults were recorded using a standardised form. A reaudit was completed after the implementation of monitor hoods. RESULTS Only 16% of computer monitors met the set standard. More spatial resolution faults were documented than contrast faults (55% vs 45%). A higher proportion of faults was recorded on days with sunny weather (64%) than when it was cloudy, rainy or clear (9–14%). Similarly, there was a higher proportion of faults on monitors that demonstrated full light reflection than those showing no light reflection (26% vs 9%). The reaudit demonstrated improvement, with 32% of monitors meeting the set standard. CONCLUSIONS Reducing extraneous light sources is critical to improving viewing conditions. Despite improvement in computer monitor quality, lack of calibration of monitors highlights the importance of optimising viewing conditions. The intention is to continue to integrate methods to improve display quality, which will help improve patient care.

Faculty Dental JournalVol. 16(2)
King's College London (GB), Guy's and St Thomas' NHS Foundation Trust (GB), Buckinghamshire Healthcare NHS Trust (GB)
Openalex Percentile: Top 90%
Radiology practices and education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.