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Objectives <p>To evaluate the influence of blue-light filtering on the diagnosis of different dental conditions (internal and external root resorptions, horizontal and vertical root fractures, and furcation defects) in intraoral digital radiographs.</p> Methods <p>The study used 10 mandibles, 8 dry skulls, and 60 single-rooted teeth distributed according to the induction of the different pathological conditions. The conditions were simulated using specific methodologies for each type of lesion with mechanical processes or combined with chemical processes. Digital radiographs were acquired using the KaVo eXam digital system. The obtained images were randomized and evaluated individually by 11 evaluators, using a 5-point scale, as to the absence or presence of each condition. The images were evaluated using Windows 11 blue-light filtering with four intensities: 0% (off), 20% (low), 40% (intermediate), and 60% (high). Diagnostic values were calculated and compared using one-way ANOVA with a 5% significance level.</p> Results <p>There were no significant differences in the diagnostic values among the different intensities of the blue-light filtering for any of the diagnostic tasks (<i>p</i> ≥ 0.05).</p> Conclusions <p>The use of blue-light filtering at different intensities does not influence diagnostic tasks on digital radiographs. Thus, this resource can be used by professionals.</p>

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Influence of blue-light blocking filter on a series of diagnostic tasks in digital radiographs

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年7月14日

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  • Julia Beatriz Tonon,
  • Gabriel Luiz Freire Torres,
  • Julia Moreira Biokino,
  • Michelle Chang,
  • Marcos Paulo Maia-Lima,
  • Deborah Queiroz Freitas,
  • Amanda Farias-Gomes,
  • Hugo Gaêta-Araujo

摘要

Objectives

To evaluate the influence of blue-light filtering on the diagnosis of different dental conditions (internal and external root resorptions, horizontal and vertical root fractures, and furcation defects) in intraoral digital radiographs.

Methods

The study used 10 mandibles, 8 dry skulls, and 60 single-rooted teeth distributed according to the induction of the different pathological conditions. The conditions were simulated using specific methodologies for each type of lesion with mechanical processes or combined with chemical processes. Digital radiographs were acquired using the KaVo eXam digital system. The obtained images were randomized and evaluated individually by 11 evaluators, using a 5-point scale, as to the absence or presence of each condition. The images were evaluated using Windows 11 blue-light filtering with four intensities: 0% (off), 20% (low), 40% (intermediate), and 60% (high). Diagnostic values were calculated and compared using one-way ANOVA with a 5% significance level.

Results

There were no significant differences in the diagnostic values among the different intensities of the blue-light filtering for any of the diagnostic tasks (p ≥ 0.05).

Conclusions

The use of blue-light filtering at different intensities does not influence diagnostic tasks on digital radiographs. Thus, this resource can be used by professionals.