Development of Semi-Automated Image-Based Analysis Tool for CBCT Evaluation of Alveolar Ridge Changes After Tooth Extraction DOI Creative Commons
Anja Heselich, Joanna Śmieszek-Wilczewska,

Louisa Boyo

et al.

Bioengineering, Journal Year: 2025, Volume and Issue: 12(3), P. 307 - 307

Published: March 18, 2025

Following tooth extraction, the bone structure is prone to atrophic changes. Alveolar ridge resorption can compromise subsequent implant treatment not only at extraction site itself but also by affecting support of adjacent teeth. Various techniques, including use graft materials or autologous blood concentrates for socket preservation, aim counteract this process. The efficacy such methods be evaluated non-invasively through radiological analysis treated region. However, existing evaluation often focus on isolated areas socket, limiting their accuracy in assessing overall regeneration. This study introduces a novel, non-invasive, and semi-automated image-based method that enables more comprehensive preservation using CBCT data. Developed with open-source software “Fiji” (v2.15.0; based ImageJ), approach assesses changes multiple horizontal vertical positions, creating near three-dimensional representation resorptive By analyzing entire region around rather than selected regions, provides precise reproducible assessment alveolar preservation. Although requires some processing time focuses exclusively evaluation, it offers greater conventional methods. Its standardized objective nature makes valuable tool clinical research, facilitating reliable comparisons different strategies.

Language: Английский

Development of Semi-Automated Image-Based Analysis Tool for CBCT Evaluation of Alveolar Ridge Changes After Tooth Extraction DOI Creative Commons
Anja Heselich, Joanna Śmieszek-Wilczewska,

Louisa Boyo

et al.

Bioengineering, Journal Year: 2025, Volume and Issue: 12(3), P. 307 - 307

Published: March 18, 2025

Following tooth extraction, the bone structure is prone to atrophic changes. Alveolar ridge resorption can compromise subsequent implant treatment not only at extraction site itself but also by affecting support of adjacent teeth. Various techniques, including use graft materials or autologous blood concentrates for socket preservation, aim counteract this process. The efficacy such methods be evaluated non-invasively through radiological analysis treated region. However, existing evaluation often focus on isolated areas socket, limiting their accuracy in assessing overall regeneration. This study introduces a novel, non-invasive, and semi-automated image-based method that enables more comprehensive preservation using CBCT data. Developed with open-source software “Fiji” (v2.15.0; based ImageJ), approach assesses changes multiple horizontal vertical positions, creating near three-dimensional representation resorptive By analyzing entire region around rather than selected regions, provides precise reproducible assessment alveolar preservation. Although requires some processing time focuses exclusively evaluation, it offers greater conventional methods. Its standardized objective nature makes valuable tool clinical research, facilitating reliable comparisons different strategies.

Language: Английский

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