Correlation between peri-implant bone mineral density and primary implant stability based on artificial intelligence classification

Autor: Yanjun Xiao, Lingfeng Lv, Zonghe Xu, Lin Zhou, Yanjun Lin, Yue Lin, Jianbin Guo, Jiang Chen, Yanjing Ou, Lin Lin, Dong Wu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Druh dokumentu: article
ISSN: 2045-2322
DOI: 10.1038/s41598-024-52930-7
Popis: Abstract Currently, the classification of bone mineral density (BMD) in many research studies remains rather broad, often neglecting localized changes in BMD. This study aims to explore the correlation between peri-implant BMD and primary implant stability using a new artificial intelligence (AI)-based BMD grading system. 49 patients who received dental implant treatment at the Affiliated Hospital of Stomatology of Fujian Medical University were included. Recorded the implant stability quotient (ISQ) after implantation and the insertion torque value (ITV). A new AI-based BMD grading system was used to obtain the distribution of BMD in implant site, and the bone mineral density coefficients (BMDC) of the coronal, middle, apical, and total of the 1 mm site outside the implant were calculated by model overlap and image overlap technology. Our objective was to investigate the relationship between primary implant stability and BMDC values obtained from the new AI-based BMD grading system. There was a significant positive correlation between BMDC and ISQ value in the coronal, middle, and total of the implant (P 0.05). Furthermore, BMDC was notably higher at implant sites with greater ITV (P
Databáze: Directory of Open Access Journals
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