Literature DB >> 29761926

Incidence and pattern of implant fractures: A long-term follow-up multicenter study.

Jae-Hong Lee1, Yeon-Tae Kim1, Seong-Nyum Jeong1, Na-Hong Kim2, Dong-Woon Lee3.   

Abstract

BACKGROUND: Currently, there is incomplete understanding of the fracture patterns in the implant and their association with clinical factors.
PURPOSE: The aim of this study was to investigate the incidence and pattern of implant fracture (IF) by using 9-year, long-term multicenter follow-up data.
MATERIALS AND METHODS: The association of the incidence and differences in fracture patterns with clinical factors (based on patient variables and implant variables) was assessed for statistical significance using the Chi-square and Fisher exact test, as appropriate.
RESULTS: Among a total of 19 087 implants in 8501 patients (7838 male and 663 female) placed over 9 years, fractures were observed in 70 implants (0.4%) in 57 patients (50 male and 7 female). Cases with less than 50% bone loss had a higher incidence of horizontal and vertical IFs limited to the crest module, which are defined as Type I fractures (n = 13, 18.6%). In contrast, cases with ≥50% severe bone loss exhibited a higher incidence of Type II vertical fractures (n = 22, 31.4%), extending beyond the crestal portion (P = .001). Type III fractures (n = 5, 7.1%), defined as a horizontal fracture beyond the crestal module, were also observed.
CONCLUSION: Peri-implantitis-induced marginal and vertical bone loss and manufacturing-induced defects were considered to be major factors in IF. Therefore, using clinically verified implant systems and striving to minimize bone loss by preventing and actively treating peri-implantitis is essential to reduce IFs.
© 2018 Wiley Periodicals, Inc.

Entities:  

Keywords:  dental implants; fractures; implant failures; peri-implantitis

Mesh:

Substances:

Year:  2018        PMID: 29761926     DOI: 10.1111/cid.12621

Source DB:  PubMed          Journal:  Clin Implant Dent Relat Res        ISSN: 1523-0899            Impact factor:   3.932


  9 in total

1.  [Clinical classification and treatment decision of implant fracture].

Authors:  Y Li; H J Yu; L X Qiu
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2022-02-18

2.  Osteotomy combined with the trephine technique for invisible implant fracture: A case report.

Authors:  Liang-Wen Chen; Min Wang; Hai-Bin Xia; Dong Chen
Journal:  World J Clin Cases       Date:  2022-06-06       Impact factor: 1.534

3.  Influence of length, diameter and position of the implant in its fracture incidence: A Systematic Review.

Authors:  Marcelo Coelho Goiato; Agda Marobo Andreotti; Daniela Micheline Dos Santos; Adhara Smith Nobrega; Fernanda Pereira de Caxias; Lisiane Cristina Bannwart
Journal:  J Dent Res Dent Clin Dent Prospects       Date:  2019-08-14

4.  Artificial Intelligence in Fractured Dental Implant Detection and Classification: Evaluation Using Dataset from Two Dental Hospitals.

Authors:  Dong-Woon Lee; Sung-Yong Kim; Seong-Nyum Jeong; Jae-Hong Lee
Journal:  Diagnostics (Basel)       Date:  2021-02-03

5.  Passant Connection Screw of Dental Implants: An In Vitro SEM Preliminary Study.

Authors:  Gabriele Cervino; Antonino Germanà; Luca Fiorillo; Cesare D'Amico; Francesco Abbate; Marco Cicciù
Journal:  Biomed Res Int       Date:  2022-04-21       Impact factor: 3.246

6.  Deep learning improves implant classification by dental professionals: a multi-center evaluation of accuracy and efficiency.

Authors:  Jae-Hong Lee; Young-Taek Kim; Jong-Bin Lee; Seong-Nyum Jeong
Journal:  J Periodontal Implant Sci       Date:  2022-06       Impact factor: 2.086

7.  Multi-Task Deep Learning Model for Classification of Dental Implant Brand and Treatment Stage Using Dental Panoramic Radiograph Images.

Authors:  Shintaro Sukegawa; Kazumasa Yoshii; Takeshi Hara; Tamamo Matsuyama; Katsusuke Yamashita; Keisuke Nakano; Kiyofumi Takabatake; Hotaka Kawai; Hitoshi Nagatsuka; Yoshihiko Furuki
Journal:  Biomolecules       Date:  2021-05-30

8.  Efficacy of deep convolutional neural network algorithm for the identification and classification of dental implant systems, using panoramic and periapical radiographs: A pilot study.

Authors:  Jae-Hong Lee; Seong-Nyum Jeong
Journal:  Medicine (Baltimore)       Date:  2020-06-26       Impact factor: 1.817

Review 9.  Removal of failed dental implants revisited: Questions and answers.

Authors:  Alex Solderer; Adrian Al-Jazrawi; Philipp Sahrmann; Ronald Jung; Thomas Attin; Patrick R Schmidlin
Journal:  Clin Exp Dent Res       Date:  2019-08-21
  9 in total

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