Predisposing factors to severe external root resorption associated to orthodontic treatment

Picanço, Gracemia Vasconcelos; Freitas, Karina Maria Salvatore de; Cançado, Rodrigo Hermont; Valarelli, Fabrício Pinelli; Picanço, Paulo Roberto Barroso; Feijão, Camila Pontes

doi:10.1590/s2176-94512013000100022

Cited by 42 publications

(61 citation statements)

References 29 publications

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“…These data can be used as a possible predictor for root resorption during orthodontic treatment because root resorption susceptibility following the application of an orthodontic force can be associated with root resorption before treatment (shorter roots) [8,9], and root morphology, particularly conical roots[7–9]. Dilacerated roots as observed in the incisor root finite element models proposed by Kamble et al and Oyama et al[18,19] potentially led to an altered distribution of the stress when forces were applied to teeth during orthodontic tooth movement.…”

Section: Discussionmentioning

confidence: 99%

“…Root resorption susceptibility following the application of an orthodontic force can be associated with tooth type (with a greater risk for the upper incisor)[7], treatments with extraction[7–9], the presence of supraocclusion or open bite[7], treatment duration[10], root resorption before treatment[8,9], and root morphology[7–9]. Although root resorption can occur with or without orthodontic treatment, research in this area indicates that RR is influenced by a complex genetic trait[3,6,11,12], individual predisposition and multifactorial etiology[4,12–16].…”

Section: Introductionmentioning

confidence: 99%

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Three-dimensional characterization of root morphology for maxillary incisors

et al. 2017

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The aim of this study was to test the reproducibility of three-dimensional (3D) surface models of maxillary incisors and to propose a characterization of root morphology. The sample was comprised of pre-treatment cone-beam computed tomography (CBCT) images of fifty-five patients. The CBCTs were used to construct 3D surface models of the maxillary incisors. The reproducibility of surface models was tested by repeated construction of them by two observers. A 3D surface model that corresponded to the average of all lateral and all central incisors was generated. 3D surface distances and vector differences were calculated for each individual tooth and the average of the teeth considered. The corresponding points on the 3D surface mesh for each subgroup were compared statistically to those of the neutral subgroup using shape analysis MANCOVA and Hotelling’s t-statistic (p < 0.05). Repeated construction of surface models demonstrated adequate inter-rater reproducibility. The distribution of 3D models into root morphology subgroups was: blunt (11% and 26% of the central and lateral incisors, respectively), conical (15% of the central incisors), long (27% and 20% of the central and lateral incisors, respectively), and short (15% and 4% of the central and lateral incisors, respectively). Compared to the neutral average, statistically significant differences in root morphology were found for blunt, long, conical, and short central incisors and for blunt, long, and short lateral incisors. We can conclude that 3D surface models construction for upper incisors is reproducible. 3D shape analysis using CBCT images allows a phenotypic characterization of incisor root morphology.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Three-dimensional characterization of root morphology for maxillary incisors

et al. 2017

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“…This finding was confirmed by Ren et al . through an animal study and Picanco et al . through human research.…”

Section: General Factorsmentioning

confidence: 99%

Root Resorption with Orthodontic Mechanics: Pertinent Areas Revisited

Krishnan¹

2017

Australian Dental Journal

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Root resorption can occur at any time during orthodontic treatment and lead to a compromise in the prognosis of the tooth and the stability of the treatment results. Recent research has focused more on the cause and effect relationship as well as preventive or treatment options to combat this unwelcome event. Investigations have highlighted the genetic as well as molecular aspects of the process and enabled clinicians to determine which patients might be susceptible. A proper medical history, an assessment of predisposing factors, a radiographic evaluation for alterations in root morphology and careful planning and execution of orthodontic mechanics may reduce the incidence of root resorption. The current review is aimed at providing clinicians and academics with an insight into the process of root resorption, the methods of identification during its early stages and intervention at the right time to reduce its severity.

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“…Numerous factors, such as race, age, gender, malocclusion, the shape of roots, extent and direction of displacement of the upper incisors, type and length of orthodontic treatment, can participate in the EARR development (Marek et al , ; Picanço et al , ; Maués et al , ). These factors cannot fully explain the differences in susceptibility to EARR.…”

Section: Introductionmentioning

confidence: 99%