Cone-beam computed tomography evaluation of impacted and transmigrated mandibular canines: a retrospective study

Karabaş, Hülya Çakır; Özcan, İlknur; Ertürk, Ahmet Faruk; Güray, Beliz; Ünsal, Gürkan; Senel, Sukriye Neslihan

doi:10.1007/s11282-020-00464-9

Cited by 12 publications

(8 citation statements)

References 21 publications

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“…In the vertical position, the height of the canine cusp was frequently presented at the coronal level (32.6 %) of the incisor root, followed by the mid-root (25.6 %) and apical level (25.6 %). Together these last two may coincide with the middle and apical frequency reported in the literature ( 5 , 12 , 23 ), contributing to possibly avoiding a higher prevalence of IMbC transmigration.…”

Section: Discussionsupporting

confidence: 70%

“…Cakir Karabas et al . ( 5 ) reported that most of the canines in their sample did not cause resorption. Ericson and Bjerklin ( 38 ) found that the incisor roots that presented root resorption were observed.…”

Section: Discussionmentioning

confidence: 97%

“…In the present study, the most frequent location of impacted mandibular canines was evidently buccal, in contrast to the findings of Cakir Karabas et al . ( 5 ), who reported the bicortical location as the most frequent.…”

Section: Discussionmentioning

confidence: 99%

“…The possibility of impaction can occur with any type of tooth in the dental arch; however, the teeth with the highest incidence of impaction, after the third molars, are the canines ( 2 ). The prevalence of maxillary canine impaction has been reported to be 0.2% to 5% and 0.31% to 1.35% for mandibular canines ( 3 - 5 ), although the incidence for mandibular canines has increased in in recent years ( 3 , 4 , 6 , 7 ).…”

Section: Introductionmentioning

confidence: 99%

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Three-dimensional evaluation of mandibular canine impaction characteristics and their relationship with lower incisor root morphometry

Mejía-Milian¹,

Arriola-Guillén²,

Castillo³

et al. 2022

J Clin Exp Dent

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Background To three-dimensionally evaluate the characteristics of mandibular canine impaction with the morphometry of the roots of the lower incisors. Material and Methods Cone-beam computed tomography (CBCT) scans of 35 individuals (18 males and 17 females) with a mean age of 14.37± 10.26 years were evaluated. Forty-three impacted mandibular canines (IMbC) were evaluated. Their location, sector and level of impaction were determined. Likewise, the distances of the canines to the occlusal plane, the angulations with respect to the midline and adjacent lateral incisors, the length of the impacted canines, and of the lower incisors were measured. Finally, the presence of incisor root resorption was determined. Chi-square and Kruskal Wallis tests were employed ( P <0.05). Results The buccal position of the IMbCs was the most predominant (65.1%), and the location below the apical middle third of the lower incisor root was the most frequent (32.6%). No statistical significance was found between root resorption and location, level and impaction sector. Only mild root resorption and impaction sector 5 was significant (66.70%; P <0.001). The proximity of the follicle and crown of the IMbC did not affect the root structure of the lower incisors. 72.1% and 52.2% of mandibular canines did not present contact of the impacted canine or its follicle with the adjacent tooth respectively. Root lengths were similar in the different types of impactions ( P >0.05). Conclusions IMbCs are mostly positioned buccally and below the apical middle third of the root of the lower incisors. Likewise, the proximity of their follicles and crowns does not seem to affect the root structure of the lower incisors, producing minimal and infrequent root resorption. Key words: Mandibular canine impaction, incisor root morphometry, cone-beam CT.

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Section: Discussionsupporting

confidence: 70%

Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Three-dimensional evaluation of mandibular canine impaction characteristics and their relationship with lower incisor root morphometry

Mejía-Milian¹,

Arriola-Guillén²,

Castillo³

et al. 2022

J Clin Exp Dent

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“…Because there is obvious noise in CBCT images of teeth, the root part belongs to bone structure, which makes alveolar bone and root difficult to distinguish; and the distance between teeth is close, which is easy to produce adhesion on images, and a variety of computer intelligent algorithms can’t be directly applied in tooth segmentation. Horizontal set image method avoids the parameterization process of curve tracking and has potential advantages in tooth CT image segmentation [ 8 ]. A tooth CT image segmentation model is constructed based on edge level set algorithm.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of children’s oral diagnosis and treatment using imaging examination using AI based Internet of Things

Li,

Qu,

Yue

et al. 2024

THC

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BACKGROUND: Although cone beam computed tomography (CBCT) plays an important role in the diagnosis and treatment of oral diseases, its image segmentation method needs to be further improved, and there are still objections about the clinical application effect of general anesthesia (GA) on children’s dental fear (CDF). OBJECTIVE: This study aimed to investigate the application value of CBCT based on intelligent computer segmentation model in oral diagnosis and treatment of children in the context of biomedical signals, and to analyze the alleviating effect of GA on CDF. METHODS: Based on the regional level set (CV) algorithm, the local binary fitting (LBF) model was introduced to optimize it, and the tooth CBCT image segmentation model CV-LBF was established to compare the segmentation accuracy (SA), maximum symmetric surface distance (MSSD), average symmetric surface distance (ASSD), over segmentation rate (OR), and under segmentation rate (UR) between these model and other algorithms. 82 children with CDF were divided into general anesthesia group (GAG) (n= 38) and controls (n= 44) according to the voluntary principle of their families. Children in GAG were treated with GA and controls with protective fixed intervention. Children’s fear survey schedule-dental subscale (CFSS-DS) and Venham scores were counted before intervention in the two groups. CFSS-DS scores were recorded at 2 hours after intervention and after recovery in children in GAG. CFSS-DS and Venham scores were performed in all children 1 week after surgery. RESULTS: The results showed that the S⁢A value of CV-LBF algorithm was higher than that of region growing algorithm (P< 0.05). OR, UR, MSSD, and ASSD values of CV-LBF algorithm were evidently lower than those of other algorithms (P< 0.05). CFSS-DS scores were lower in GAG than in controls 2 hours after intervention and at return visits after 1 week of intervention (P< 0.001), and Venham scores were lower in GAG than in controls after intervention (P< 0.001). After intervention, the proportion of children with Venham grade 0, 1, 2, and 3 was obviously higher in GAG than in controls (P< 0.001), while the proportion of children with Venham grade 4 and 5 was clearly higher in controls than in GAG (P< 0.001). CONCLUSION: The results revealed that the computer intelligent segmentation model CV-LBF has potential application value in CBCT image segmentation of children’s teeth, and GA can effectively alleviate anxiety of children with CDF and can be used as biomedical signals.

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Orthodontic repositioning of a lingually positioned transmigrated mandibular canine

Scribante

Beccari²,

Beccari³

et al. 2023

American Journal of Orthodontics and Dentofacial Orthopedics

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Cone-beam computed tomography evaluation of impacted and transmigrated mandibular canines: a retrospective study

Cited by 12 publications

References 21 publications

Three-dimensional evaluation of mandibular canine impaction characteristics and their relationship with lower incisor root morphometry

Three-dimensional evaluation of mandibular canine impaction characteristics and their relationship with lower incisor root morphometry

Evaluation of children’s oral diagnosis and treatment using imaging examination using AI based Internet of Things

Orthodontic repositioning of a lingually positioned transmigrated mandibular canine

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