RESEARCH ARTICLE
Emre Sözena
and Hasan Akpınarb
aDepartment of Oral and Maxillofacial Radiology, Faculty of Dentistry, Afyonkarahisar Health Science University, Afyonkarahisar, Turkiye; bDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, Afyonkarahisar Health Science University, Afyonkarahisar, Turkiye
Aim: The aim of this study is to classify accessory mandibular canals (AMC) and investigate their association with the dimensions of the mandibular canal (MC) to enhance surgical planning and prevent complications in dental treatments.
Methods: Cone-beam computed tomography (CBCT) images were evaluated. AMC’s frequency, length, and diameter, including dental, superior, inferior, forward-open, forward-closed, and retromolar types, were determined. Additionally, the dimensions of the MC, including its length and diameter, were measured, and the relationship between the AMC and MC was statistically analyzed. Descriptive statistics, chi-square test, independent samples t-test (for normally distributed data), Kruskal-Wallis test (for non-normally distributed data), and Tamhane post hoc test were used for statistical analysis of the data.
Results: AMC was identified in 82 of the 222 hemimandibles examined (36.9%). It was found that the length and diameter of AMCs varied significantly depending on the AMC type (p = 0.000). The diameter of the dental type AMCs (mean 0.40 ± 0.22 mm) was considerably smaller than that of other AMC types (mean 0.86 ± 0.37 mm). The length and diameter of the MC were measured as 69.20 ± 5.10 mm and 2.96 ± 0.57 mm, respectively. While MC length was not found to influence the presence of AMC (p = 0.785), MC diameter was significantly associated with the occurrence of AMC (p = 0.000).
Conclusions: AMC, which is critical for improving surgical planning and reducing the risk of complications in dental procedures, is not uncommon. Their presence should be carefully evaluated, particularly in cases where the MC has a larger diameter.
KEYWORDS: Accessory mandibular canal; mandibular canal variations; mandibular canal measurements; CBCT
Citation: ACTA ODONTOLOGICA SCANDINAVICA 2025; VOL. 84: 241–249. DOI: https://doi.org/10.2340/aos.v84.43600.
Copyright: © 2025 The Author(s). Published by MJS Publishing on behalf of Acta Odontologica Scandinavica Society. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, with the condition of proper attribution to the original work.
Received: 8 December 2024; Accepted: 9 April 2025; Published: 13 May 2025.
CONTACT: Hasan Akpınar hsnakpinar03@gmail.com Afyonkarahisar Health Science University, Department of Oral and Maxillofacial Surgery, Afyonkarahisar, Turkiye
Competing interests and funding: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. This work was supported by the Afyonkarahisar Health Sciences University Scientific Research Projects Coordination Unit. (Grant numbers 21.TEMATİK.013).
Anatomic variations observed in the oral region are of significant importance in diagnosis and treatment. A thorough understanding of physiological anatomy is essential for accurately identifying pathologies and distinguishing anatomical variations. Both soft and hard tissue variations can be encountered in the oral cavity. Fordyce granules, leukoedema, fissured tongue, geographic tongue, linea alba buccalis, melanotic macule, physiological pigmentations, and lingual varices are among the commonly observed soft tissue anatomical variations in the oral cavity [1].
Common oral hard tissue anatomical variations include accessory foramina in the mandible, such as the accessory mental, lingual, and retromolar foramina, which hold clinical significance during dental procedures; bifid and trifid mandibular canal (MC) variations, which can impact dental implant planning and surgical interventions; maxillary sinus variations, including Haller cells, Concha Bullosa, and accessory ostia, which may contribute to sinusitis and other maxillary pathologies; and neurovascular variations in the anterior palate, such as additional foramina and canals, which are crucial for surgical planning and the prevention of complications. Although these variations are typically asymptomatic, they can sometimes mimic pathological conditions. Therefore, clinicians must possess comprehensive knowledge of these anatomical structures to ensure accurate diagnosis and avoid unnecessary interventions. [2–5].
One of the anatomical variations, the MC is a bony channel within the mandible that houses the inferior alveolar nerve, artery, and vein. It extends from the mandibular foramen to the mental foramen, providing neural and vascular supply to the lower teeth, the jawbone, and the surrounding soft tissues [6, 7]. Various surgical procedures, such as impacted tooth extraction, implant placement, cyst and tumor operations, orthognathic, and reconstructive surgery are performed in the mandibular region where the MC is located [8]. In addition, root canal treatments, prosthetic rehabilitations, and orthodontic applications can also have an impact on the MC [9]. Therefore, the ideal visualization of the MC during diagnosis and treatment processes is crucial for preventing potential complications. Additionally, since the anatomical variations within the MC can affect the success of dental anesthesia, they may also influence the outcomes of dental procedures performed in distant areas [6].
The radiographic visualization of the MC can be achieved using various techniques, including panoramic radiography, periapical radiography, magnetic resonance imaging (MRI), computed tomography (CT), and cone-beam computed tomography (CBCT) [10, 11]. Although panoramic radiographs are often the preferred method before dental procedures, they have certain limitations in clearly depicting the anatomical course and length of the MC. Insufficient visualization of the upper border of the MC, along with issues such as magnification, distortion, and ghost images, are other areas where panoramic radiography falls short. Furthermore, the detection of cariations within the MC and the visualization of accessory canals often do not achieve the desired success [12, 13].
The limitations observed in panoramic radiographs can be addressed with the use of CBCT. CBCT provides high-resolution, three-dimensional images that enable precise localization and assessment of the course of the MC and its relationship with surrounding structures [8]. CBCT is highly effective in identifying anatomical variations within the MC, such as bifid and trifid canals, accessory mandibular canals (AMC), anterior loops, and accessory mental foramina, which are often not visualized in conventional panoramic radiographs [12]. This detailed imaging method is of great significance for dental applications, such as surgical procedures related to the mandible, endodontic treatments, and dental implant procedures, as it contributes to the prevention of potential complications associated with the inferior alveolar nerve [14].
When anatomical variations are not detected during surgical planning, complications such as traumatic neuroma, paresthesia, anesthesia failure, and significant hemorrhage may occur during the surgical procedure [15]. During root canal treatment, excessive preparation that establishes a relationship with accessory canals can lead to mechanical trauma due to the files used, as well as chemical traumac resulting from irrigation solutions. Similar complications may also occur during apical resections [16]. In orthodontic mini-screw applications performed in the buccal shelf region, the position of the MC is crucial, as potential anatomical variations should be considered, as they may lead to unexpected complications [17]. In cases where anatomical variations of the mandibular canal position the neurovascular bundle in a manner susceptible to mechanical pressure, the use of removable prosthetic appliances may result in pain and discomfort due to repeated loading on these sensitive structures. [18].
Due to the significant impact of MC variations on dental procedures, there has been a need for the classification of these variations. These classifications are generally based on the branching of the MC and the paths followed by these branches, assessed using CBCT images [19]. For this purpose, the classification of bifid MC proposed by Naitoh et al. is frequently used [20]. The aim of this study is to investigate the characteristics of the MC and its variations, which have clinical significance in terms of postoperative complications and iatrogenic injuries.
This study was conducted in accordance with the Declaration of Helsinki. Ethical approval was obtained from the Clinical Research Ethics Committee of Afyonkarahisar Health Science University under the approval number 2021/4-259. CBCT images taken for various reasons at the Faculty of Dentistry, during the years 2022–2023 were included in the study. The Planmeca ProMax 3D Mid (Planmeca, Helsinki, Finland) device was used in our study (Figure 1). The imaging parameters were set to 90 kV, 8 mA, and a voxel size of 0.2 mm.

Figure 1. Cone-beam computed tomography device used for image acquisition (Planmeca ProMax 3D Mid).
For the measurement and analysis of CBCT images covering the bilateral mandibular molar and premolar regions, the software of the CBCT device was utilized. To measure the length and diameter of the MC, a panoramic image obtained from the CBCT passing through the MC was created. The widest canal diameter was measured and recorded on this image. For the measurement of MC length, the centerline of the canal was measured. The relationship between the MC length and diameter with canal variations was evaluated. The association of MC variations with age and gender was also assessed. The MC and its variations were examined and classified based on the images. This classification was carried out by modifying the classifications commonly used in the literature [20, 21]. MC variations and AMC types were divided into six classes (Figures 2 and 3). In our study, the classification used by Naitoh et al. was referenced and then revised for adaptation [22].

Figure 2. Classification of accessory mandibular canal types (A) Dental (B) Anterior open (C) Anterior closed (D) Inferior (E) Superior (F) Retromolar.

Figure 3. Variations of the mandibular canal: (A) Dental type (B) Anterior open type (C) Anterior closed type (D) Inferior type (E) Superior type (F) Retromolar type (Blue arrows indicate the variations).
For the measurement of AMC length and diameter, a panoramic image derived from CBCT passing through the AMC was generated. In this image, the widest canal diameter was measured and recorded. For AMC length measurement, the length was determined by measuring along the axis that bisects the canal.
Cases in which dental-type AMC extended to different teeth or different roots of the same tooth within the same hemimandible were excluded from the classification. This approach was adopted to avoid potential complications in classification, as branching of the AMC to multiple teeth or multiple roots of a single tooth within the same hemimandible could render separate counting of each branch complex.
In our study, considering that some patients may have multiple types of AMC, these AMC types were planned to be treated as independent samples. The analysis of overall AMC prevalence and type-specific prevalence was conducted based on the presence or absence of variations.
For all descriptive statistics and analyses, SPSS for Windows version 23.0 (SPSS Inc., Chicago, IL) was used. Initially, summary and descriptive statistics were employed for variables such as MC length and diameter, MC variations, age, and gender. The presence of MC variations was analyzed using the chi-square test about age groups and gender variables. The normality of the MC length and diameter variables was assessed using the Shapiro–Wilk test. Since the normal distribution was confirmed, the differences in MC length and diameter based on the presence of MC variations, gender, and age group were examined using an independent samples t-test. To evaluate the effect of AMC types on length and diameter, data normality was first assessed using the Shapiro–Wilk test. As normal distribution was not achieved, the Kruskal-Wallis test was applied. Given that the Kruskal-Wallis test indicated significant differences, the Tamhane test was subsequently used as a post hoc test. A significance level of 0.05 was set for all tests.
In our study, 222 CBCT images from 111 patients were analyzed. The age range of the patients was set between 18 and 65 years, with a mean age of 33.86 ± 13.35 years. Among the included patients, 43 were male and 68 were female.
AMC was observed in 82 out of 222 hemimandible images (36.9%). To examine the effects of age group, gender, and side on the occurrence rates of AMC, a chi-square test was conducted, and no statistically significant differences were found. The occurrence rates of MC variations according to gender, age group, and side are presented in Table 1.
| Group | AMC % (n) | p* |
| Gender | ||
| Male | 38.4 (33) | 0.726 |
| Female | 36.0 (49) | |
| Side | ||
| Right | 43.2 (48) | 0.052 |
| Left | 30.6 (34) | |
| Age group (years) | ||
| 18–44 | 36.3 (58) | 0.733 |
| 45–65 | 38.7 (24) | |
| AMC: accessory mandibular canals. *p < 0.05 |
||
The mean age of patients without AMC was 33.59 ± 13.82 years, while the mean age of patients with AMC was 34.32 ± 12.59 years. According to the chi-square test results, no statistically significant difference was found between the mean ages of patients with and without AMC (p = 0.733).
In 140 out of 222 hemimandibles, no AMC were observed, with the most frequently encountered AMC type being dental and the least frequently encountered type being inferior. Data regarding the frequency of AMC types are presented in Table 2. A single type of AMC was observed in 54 hemimandibles, while two different AMC types were noted in 25 hemimandibles, and three different AMC types were observed in 3 hemimandibles. In 38 different hemimandibles, dental-type AMC were observed, with 28 extending to a single tooth, 8 extending to two separate teeth, and 2 extending to three separate teeth. Additionally, of the 50 dental-type AMC extending to different teeth, 15 showed AMC extending to both the mesial and distal roots of the same tooth.
| AMC type | n | Frequency (%)* |
| No AMC | 140 | 63.1 |
| Dental | 38 | 17.1 |
| Superior | 22 | 10 |
| Retromolar | 19 | 8.6 |
| Anterior open | 15 | 6.8 |
| Anterior closed | 13 | 5.9 |
| Inferior | 6 | 2.7 |
| AMC: accessory mandibular canals. *The total frequency appears higher due to the presence of multiple AMC types observed in the examined area. |
||
To assess the impact of AMC types on length and diameter, a normality test was initially conducted. Since the assumption of normality was not met, a nonparametric Kruskal-Wallis test was applied. Results from this test revealed that AMC types significantly affected length and diameter (p = 0.000). To identify the source of this effect, Tamhane’s Post Hoc test was performed separately, indicating that the diameter of the dental-type AMC differed significantly from other types. Regarding the impact of AMC types on canal length, no significant difference was found between dental and inferior types; however, these groups exhibited significant differences compared to other types (Table 3).
The normal distribution of the MC length and diameter variables was assessed using the Shapiro–Wilk test. Given that normal distribution was established, the differences in MC length and diameter based on the presence of AMC, gender, and age group were analyzed using an independent samples t-test. The MC lengths of all jaws included in the study were determined to be 69.2 ± 5.10 mm, while the MC diameter was found to be 2.96 ± 0.57 mm. The length and diameter data for jaws with and without AMC are presented in Table 4. It was observed that the MC length did not statistically significantly affect the presence of AMC (p = 0.785), whereas as the MC diameter increased, the occurrence of AMC significantly increased (p = 0.000). When examining the relationship between MC length and diameter and gender, it was noted that both the MC length and diameter were significantly greater in males (Table 5). When evaluating the relationship between MC length and diameter across age groups, no significant association was observed between age groups and the MC length or diameter (Table 6).
| Group | Mean ± SD (mm) | p* |
| MC length | ||
| No AMC | 69.27 ± 5.11 | 0.785 |
| AMC | 69.07 ± 5.11 | |
| MC diameter | ||
| No AMC | 2.85 ± 0.51 | 0.000 |
| AMC | 3.14 ± 0.62 | |
| AMC: accessory mandibular canals; MC: mandibular canal. *p < 0.05 |
||
| Gender | Mean ± SD (mm) | p* |
| MC length | ||
| Male (N:86) | 71.72 ± 4.73 | 0.000 |
| Female (N:136) | 67.60 ± 4.67 | |
| MC diameter | ||
| Male (N:86) | 3.17 ± 0.60 | 0.000 |
| Female (N:136) | 2.82 ± 0.51 | |
| MC: mandibular canal. *p < 0.05 |
||
| Age Group | Mean ± SD (mm) | p* |
| MC Length | ||
| 18–44 years | 69.32 ± 4.96 | 0.536 |
| 45–65 years | 68.86 ± 6.06 | |
| MC Diameter | ||
| 18–44 years | 2.89 ± 0.56 | 0.006 |
| 45–65 years | 3.12 ± 0.56 | |
| MC: mandibular canal. *.p < 0.05. |
||
The anatomical variations of the MC and AMC are critical considerations before dental procedures. These canals can be observed at varying frequencies across different populations. Various methods have been employed in the literature to ascertain the prevalence of AMC. While cadaver studies have been reported for determining the prevalence of MC variations, the use of panoramic radiographs, CT, and CBCT imaging for this purpose is common [20, 23, 24]. Although CT imaging can be used for this purpose, its application in dentistry is quite limited due to cost, accessibility, and the risks associated with high radiation doses [25].
In the literature, the prevalence of the accessory canal has been found to vary between 10 and 65% across studies involving various ethnic populations [20, 26–31]. The considerable variation in the prevalence of the AMC can be attributed to a multitude of factors, including anatomical differences among individuals, ethnic diversity, the technical specifications of the imaging devices used, image resolution, and the methodological approaches adopted by researchers. Moreover, even among studies conducted within the same ethnic population, significant differences have been observed due to methodological variations. For instance, two separate studies conducted in Japan reported AMC prevalences of 15.5 and 65%, respectively, suggesting that the aforementioned factors may be responsible for these discrepancies [20, 31]. In the present study, the prevalence of AMC was determined to be 36.9%, whereas in different studies conducted in Türkiye, this rate ranges from 24.7 to 46.5% [12, 29, 32, 33].
Due to panoramic radiographs providing lower-resolution and two-dimensional images compared to CBCT, they are considered inadequate for detecting AMC, often reporting lower rates than actually present. Supporting this finding, a study in the literature utilizing panoramic radiographs reported an AMC prevalence of around 1% [34]. However, contrary to these findings, some studies indicate that anatomical structures, such as the mylohyoid nerve, may be misinterpreted as AMC due to erroneous evaluations, and that dense trabecular formations can mimic AMC. Consequently, this can lead to a reported prevalence of AMC that is higher than what actually exists. The literature emphasizes the significance of imaging techniques in accurately identifying these anatomical variations [35–37]. Due to the concerns mentioned in the literature regarding panoramic radiographs, CBCT has been preferred in our study.
In our study, the most frequently observed type of MC variation was the dental type (17.1%), which is consistent with the findings of Kuribayashi et al. [31]. However, in a similar population study by Orhan et al., the dental type was found to be at the lowest rate [29]. The lower prevalence of dental type AMC reported in other studies utilizing CBCT compared to the current study may suggest that this discrepancy is due to the smaller diameter of these types of AMC and the potential for very small-diameter dental type AMC to be overlooked [19, 38]. Additionally, a study conducted using MRI reported the presence of dental-type AMC extending to nearly all teeth [39]. The distinction of our study from the aforementioned studies can be attributed to the imaging method and the exclusion of dental type AMC that could not be clearly observed in the continuous CBCT sections.
However, the variability in the frequency distribution of variation types in different studies can be attributed to ethnic and methodological differences. For instance, studies conducted by Naitoh et al. [20] and Orhan et al. [29] reported the anterior type as the most common variation. These differences may vary particularly based on the classification systems used and the sample sizes in the studies. Haas et al. classified MC variations into retromolar and bifid MC, noting that the bifid MC is observed more frequently [3]. Due to the proximity of the retromolar foramen to the third molars, this variation should be considered during the extraction of impacted teeth. The prevalence of the retromolar foramen has been reported to vary between 3.2 and 26.58%, with differences noted in the diameter of the foramen and its distance from the third molars in the literature [40, 41].
Although all variations have distinct clinical significance, the retromandibular canal (RMC) is specifically examined in the literature. The neurovascular structures passing through the RMC provide innervation and blood supply to the mandibular molars, buccal region, posterior part of the alveolar ridge, and the mucosa overlying the retromolar fossa, while occasionally contributing additional vascularization to the temporalis and buccinator muscles. Therefore, understanding the anatomical variations of the retromolar is crucial for preserving neurovascular structures during surgical procedures [42]. However, the literature indicates that retromolar canals are not associated with neurosensory impairments following impacted third molar surgery [43].
The diameters and lengths of AMC are parameters that are frequently evaluated in the literature. In the current study, dental type AMC was identified as the narrowest variation, while the forward closed type was determined to be the longest variation. When evaluating the ratio of the diameter of the accessory canal to the diameter of the main canal, Rashsuren et al. [30] found this ratio to be approximately 0.5. In the present study, this ratio is at a level of 0.35. In the study by Zhang et al., while the length measurements of AMC are similar to those in our study, differences are observed in the diameter measure-ments [15]. It is suggested that the reason for this difference may be attributed to variations in the measurement locations for the diameters or ethnic differences [15, 30]. In contrast to the current study, although Kang et al. reported no significant differences in the diameters among different types of AMC, numerous studies have reported significant differences [15, 28, 44, 45]. When examining the length measurements of AMC, a wide range from 1.6 to 20 mm is observed in the literature. This broad range can be attributed to the use of different classifications of AMC. Indeed, the buccolingual type, reported as 1.6 mm, was not included in our study, aligning with many other studies in the literature [20, 30, 44, 45].
In the current study, the relationship between the diameter of the MC and the presence of AMC was examined, revealing that the incidence of AMC significantly increased with the enlargement of the MC diameter. This finding is consistent with results from the literature indicating that the diameter of the MC is associated with the presence of AMC [46, 47]. In our study, no significant relationship was found between the length of the MC and the incidence of AMC. Furthermore, there was no significant relationship observed between the presence of AMC and age or gender, which is consistent with the literature [45, 48]. In the study by Varvara et al., a distinction was made between right and left side measurements for the AMC, and the AMC was categorized into four types. While similarities exist between the two studies in terms of classification, our study reveals a higher average length for the retromolar canal and a lower average length for the dental canal [49].
In the present study, the relationship between the diameter and length of the MC and gender was also assessed. It was found that both the diameter and length of the MC were significantly greater in males than in females, which is consistent with the literature [50]. Additionally, our study demonstrated that an increase in the diameter of the MC may lead to a higher incidence of AMC. Although a higher proportion of AMC was observed in males, no statistically significant difference was found.
It has been reported that the inferior alveolar nerve is the most frequently injured nerve in the oral and maxillofacial region due to undetected AMC [19]. The literature reports that the development of paresthesia may occur due to damage to accessory canals following orthognathic surgery and apical resection procedures [51, 52]. It has also been reported that neurosensory changes may occur as a result of dental implants and impacted third molar surgeries; however, case reports indicate that symptoms regress upon removal of the causative factor [53, 54]. These accessory canals can adversely affect the success of dental anesthesia and may lead to significant complications during common surgical procedures, such as impacted third molar extractions. The literature includes a case where bleeding, which could not be controlled with local measures, was managed under general anesthesia using bipolar diathermy, bone wax packing, hemostatic cellulose, and sutures. This case revealed that the bleeding was caused by an accessory MC. This underscores the importance of identifying and considering AMC during surgical planning to mitigate potential complications [19, 55]. In cases involving the presence of AMC, intraoperative complications during implant surgeries and orthognathic procedures may include excessive bleeding, hematomas, and sensitivity changes, particularly in the retromolar region. Postoperative complications may include increased fibrous tissue formation related to implants, sensitivity disturbances, and elevated bleeding risks [56].
The presence of MC variations may increase the risk of complications in orthognathic surgeries. These variations, depending on the proximity of the MC to the cortical bone and its overall course, can not only alter the risk of complications but also impact treatment planning. Preoperative identification of these variations may necessitate modifications in the fixation technique and the type of osteotomy performed [57, 58].
In addition to the aforementioned complications, AMC may also contribute to the failure of dental anesthesia, which is a prerequisite for many treatments. In the clinical study conducted by Auluck et al., six cases of failed alveolar nerve blocks were examined in detail, and MC variations were identified in all cases [59].
The inclusion of a sample from a specific geographical region and a limited age range restricts the generalizability of the findings to a broader population. Additionally, as the evaluation of the obtained images relies on the observer’s interpretation, another limitation of this study is its dependence on subjective assessments. Furthermore, the relationship between the accessory MC and potential complications (e.g. paresthesia, bleeding) was not thoroughly investigated, which represents another constraint of this research. Future studies should conduct multicenter research encompassing diverse ethnic groups and geographic regions to comprehensively assess the population-based distribution of AMC. Additionally, the impact of AMC on surgical planning, its association with complications, and the diagnostic accuracy of different imaging techniques should be investigated, while CBCT-detected variations should be validated through histological and micro-CT analyses.
According to the results of our study, the presence of AMC is significantly associated with the diameter of the MC, but no effect of MC length on the presence of AMC was found. The study highlights that the presence of AMC may influence surgical planning and increase the risk of complications in dental treatments. To prevent these complications, the use of CBCT is crucial. The MC diameter, which can also be detected through panoramic radiographs, provides valuable information. Particularly in cases with a wider MC diameter, the presence of AMC should be carefully evaluated.
The authors would like to express their sincere gratitude to the Afyonkarahisar Health Sciences University Scientific Research Projects Coordination Unit for supporting this study under project number 21.TEMATİK.013.
The authors declare they have no non-financial interests.
Informed consent was obtained from all individual participants included in the study.
Approval was obtained from the Afyonkarahisar Health Sciences University (AFSU) Clinical Research Ethics Committee with the number 2021/4-259. All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008.
All co-authors have reviewed and approved the manuscript before submission.
Emre Sözen contributed to investigation, methodology, project administration, resources, software, supervision, validation, visualization, roles/writing (original draft), and writing (review & editing).
Hasan Akpınar was responsible for conceptualization, data curation, formal analysis, and writing (review & editing).
Generative AI and AI-assisted technology tools were not used in this study.
[1] Souza PRM, Dupont L, Mosena G, Dantas ML, Bulcão LA. Variations of oral anatomy and common oral lesions. An Bras Dermatol. 2024;99(1):3–18. https://doi.org/10.1016/j.abd.2023.06.001
[2] Iwanaga J, Kikuta S, Tanaka T, Kamura Y, Tubbs RS. Review of risk assessment of major anatomical variations in clinical dentistry: accessory foramina of the mandible. Clin Anat. 2019;32(5):672–77. https://doi.org/10.1002/ca.23366
[3] Haas LF, Dutra K, Porporatti AL, Mezzomo LA, De Luca Canto G, Flores-Mir C, et al. Anatomical variations of mandibular canal detected by panoramic radiography and CT: a systematic review and meta-analysis. Dentomaxillofac Radiol. 2016;45(2):20150310. https://doi.org/10.1259/dmfr.20150310
[4] Valenzuela-Fuenzalida JJ, Baez-Flores B, Sepúlveda RÁ, Medina CM, Pérez R, López E, et al. Anatomical variations and abnormalities of the maxillary region and clinical implications: a systematic review and metaanalysis. Medicine. 2023;102(38):e34510. https://doi.org/10.1097/MD.0000000000034510
[5] De Oliveira‐Santos C, Rubira‐Bullen IR, Monteiro SA, León JE, Jacobs R. Neurovascular anatomical variations in the anterior palate observed on CBCT images. Clin. Oral Implants Res. 2013;24(9):1044–8. https://doi.org/10.1111/j.1600-0501.2012.02497.x
[6] Ngeow WC, Chai WL. The clinical anatomy of accessory mandibular canal in dentistry. Clin Anat. 2020;33(8):1214–27. https://doi.org/10.1002/ca.23567
[7] Guzmán J, Abarca J, Navarro P, Garay I, Arnabat-Domínguez J, Betancourt P. Morphometric analysis of the mandibular canal and its anatomical variants in a Chilean subpopulation: cone beam computed tomography study. Diagnostics. 2024;14(17):1914. https://doi.org/10.3390/diagnostics14171914
[8] Shan S, Zhong S, Li J, Wang T. Systematic review and meta-analysis of mandibular canal variations on cone beam computed tomography. Oral Radiol. 2022;38(4):445–51. https://doi.org/10.1007/s11282-022-00610-5
[9] Al-Gabri R, Abulohoom F, Alqutaibi AY, Obiad A. Unique anomalous in the main mental foramen opening, mandibular canal pathway, and size and shape of genial tubercles: a case report. Radiol Case Rep. 2024;19(9):3934–41. https://doi.org/10.1016/j.radcr.2024.06.011
[10] Mehta DN, Oza D, Gandhi R, Jha M, Singh N, Patel SJ. Prevalence of accessory mandibular canal variations using cone beam computed tomography in the North Gujarat population: a retrospective study. Adv Hum Biol. 2025;15(1):118–21. https://doi.org/10.4103/aihb.aihb_158_24
[11] Öçbe M, Borahan M. Identifying the anatomical variations of the inferior alveolar nerve with magnetic resonance imaging. Niger J Clin Pract. 2024;27(1):136–42. https://doi.org/10.4103/njcp.njcp_641_23
[12] Göller Bulut D, Kartal Yalçın G, Tanrıseven Z, Taşkın B, Aydın B. Prevalence and topography of bifid and trifid mandibular canal in Turkish Western Anatolia population: evaluation of the inferior alveolar canal with CBCT. Surg Radiol Anat. 2024;46(10):1663–72. https://doi.org/10.1007/s00276-024-03460-4
[13] Goodarzipour D, Mosavat F, Fahimzad MS, Bayati M. Visibility of inferior alveolar canal borders using panoramic radiography and cross-sectional CBCT images. Avicenna J Dent Res. 2024;16(4):189–96. https://doi.org/10.34172/ajdr.1877
[14] Sahman H, Sekerci AE, Sisman Y, Payveren M. Assessment of the visibility and characteristics of the mandibular incisive canal: cone beam computed tomography versus panoramic radiography. Int J Oral Maxillofac Implants. 2014;29(1):71–78. https://doi.org/10.11607/jomi.3304
[15] Zhang Y-Q, Zhao Y-N, Liu D-G, Meng Y, Ma X-C. Bifid variations of the mandibular canal: cone beam computed tomography evaluation of 1000 Northern Chinese patients. Oral Surg Oral Med Oral Pathol Oral Radiol. 2018;126(5):e271–8. https://doi.org/10.1016/j.oooo.2018.06.008
[16] Del Canal Mandibular RA, Muñoz G, Dias F, Weber B, Betancourt P. Anatomic relationships of mandibular canal. A cone beam CT study. Int J Morphol. 2017;35(4):1243–48. https://doi.org/10.4067/S0717-95022017000401243
[17] Eto VM, Figueiredo NC, Eto LF, Azevedo GM, Silva AIV, Andrade Jr I. Bone thickness and height of the buccal shelf area and the mandibular canal position for miniscrew insertion in patients with different vertical facial patterns, age, and sex. Angle Orthod. 2023;93(2):185–94. https://doi.org/10.2319/060822-412.1
[18] Karamifar K, Shahidi S, Tondari A. Bilateral bifid mandibular canal: report of two cases. Indian J Dent Res 2009;20(2):235–7. https://doi.org/10.4103/0970-9290.52889
[19] Asghar A, Priya A, Ravi KS, Iwanaga J, Tubbs RS, Naaz S, et al. An evaluation of mandibular canal variations: a systematic review and meta-analysis. Anat Sci Int 2023;98(2):176–84. https://doi.org/10.1007/s12565-022-00682-7
[20] Naitoh M, Hiraiwa Y, Aimiya H, Ariji E. Observation of bifid mandibular canal using cone-beam computerized tomography. Int J Oral Maxillofac Implants. 2009;24(1):155–9.
[21] Shen E-C, Fu E, Ming-Jen Fu M, Peng M. Configuration and corticalization of the mandibular bifid canal in a Taiwanese adult population: a computed tomography study. Int J Oral Maxillofac Implants. 2014;29(4):893–7. https://doi.org/10.11607/jomi.3435
[22] Naitoh M, Hiraiwa Y, Aimiya H, Gotoh M, Ariji Y, Izumi M, et al. Bifid mandibular canal in Japanese. Implant Dent. 2007;16(1):24–32. https://doi.org/10.1097/ID.0b013e3180312323
[23] Olivier E. The inferior dental canal and its nerve in the adult. Br Dent J. 1928;49(5):356–8.
[24] Rashid SA, Ali J, Al-Nakib L. Identification of bifid mandibular canals among Iraqi subjects using panoramic imaging system. J Bagh College Dent. 2011;23(4):79.
[25] Scarfe WC, Farman AG. What is cone-beam CT and how does it work? Dent Clin N Am 2008;52(4):707–30. https://doi.org/10.1016/j.cden.2008.05.005
[26] Zhou X, Gao X, Zhang J. Bifid mandibular canals: CBCT assessment and macroscopic observation. Surg Radiol. Anat. 2020;42:1073–9. https://doi.org/10.1007/s00276-020-02489-5
[27] De Oliveira-Santos C, Souza PHC, De Azambuja Berti-Couto S, Stinkens L, Moyaert K, Rubira-Bullen IRF, et al. Assessment of variations of the mandibular canal through cone beam computed tomography. Clin Oral Investig. 2012;16:387–93. https://doi.org/10.1007/s00784-011-0544-9
[28] Kang J-H, Lee K-S, Oh M-G, Choi H-Y, Lee S-R, Oh S-H, et al. The incidence and configuration of the bifid mandibular canal in Koreans by using cone-beam computed tomography. Imaging Sci Dent. 2014;44(1):53–60. https://doi.org/10.5624/isd.2014.44.1.53
[29] Orhan K, Aksoy S, Bilecenoglu B, Sakul BU, Paksoy CS. Evaluation of bifid mandibular canals with cone-beam computed tomography in a Turkish adult population: a retrospective study. Surg Radiol Anat. 2011;33:501–7. https://doi.org/10.1007/s00276-010-0761-y
[30] Rashsuren O, Choi J-W, Han W-J, Kim E-K. Assessment of bifid and trifid mandibular canals using cone-beam computed tomography. Imaging Sci Dent. 2014;44(3):229–236. https://doi.org/10.5624/isd.2014.44.3.229
[31] Kuribayashi A, Watanabe H, Imaizumi A, Tantanapornkul W, Katakami K, Kurabayashi T. Bifid mandibular canals: cone beam computed tomography evaluation. Dentomaxillofac Radiol. 2010;39(4):235–9. https://doi.org/10.1259/dmfr/66254780
[32] Okumuş Ö, Dumlu A. Prevalence of bifid mandibular canal according to gender, type and side. J Dent Sci. 2019;14(2):126–33. https://doi.org/10.1016/j.jds.2019.03.009
[33] Dedeoglu N, Duman SB. Prevalence of bifid mandibular canals in Turkish Eastern Anatolia population: a retrospective study. J Clin Diagn Res. 2020;14(2):ZC13–7. https://doi.org/10.7860/JCDR/2020/42721.13508
[34] Sonick M. A comparison of the accuracy of periapical, panoramic, and computerized yomographic radiogrphs in locating the mandibular canal. Int J Oral Maxillofac Implant. 1994;9:455–60.
[35] Klinge B, Petersson A, Maly P. Location of the mandibular canal: comparison of macroscopic findings, conventional radiography, and computed tomography. Int J Oral Maxillofac Implants. 1989;4(4):327–33.
[36] Lindh C, Petersson A, Klinge B. Visualisation of the mandibular canal by different radiographic techniques. Clin Oral Implants Res. 1992;3(2):90–7. https://doi.org/10.1034/j.1600-0501.1992.030207.x
[37] Motamedi MHK, Navi F, Sarabi N. Bifid mandibular canals: prevalence and implications. J Oral Maxillofac Surg. 2015;73(3):387–90. https://doi.org/10.1016/j.joms.2014.09.011
[38] Ramanauskaite A, Becker J, Sader R, Schwarz F. Anatomic factors as contributing risk factors in implant therapy. Periodontol 2000. 2019;81(1):64–75. https://doi.org/10.1111/prd.12284
[39] Wamasing P, Deepho C, Watanabe H, Hayashi Y, Sakamoto J, Kurabayashi T. Imaging the bifid mandibular canal using high resolution MRI. Dentomaxillofac Radiol. 2019;48(3):20180305. https://doi.org/10.1259/dmfr.20180305
[40] Bilecenoglu B, Tuncer N. Clinical and anatomical study of retromolar foramen and canal. J Oral Maxillofac Surg. 2006;64(10):1493–97. https://doi.org/10.1016/j.joms.2006.05.043
[41] Rossi AC, Freire AR, Prado GB, Prado FB, Botacin PR, Ferreira Caria PH: incidence of retromolar foramen in human mandibles: ethnic and clinical aspects. Int J Morphol. 2012;30(3):1074–8. https://doi.org/10.4067/S0717-95022012000300051
[42] Shah SP, Mehta D. Mandibular retromolar foramen and canal – a systematic review and meta-analysis. Ann Maxillofac Surg. 2020;10(2):444–9. https://doi.org/10.4103/ams.ams_19_20
[43] Vranckx M, Geerinckx H, Gaêta-Araujo H, Leite AF, Politis C, Jacobs R. Do anatomical variations of the mandibular canal pose an increased risk of inferior alveolar nerve injury after third molar removal? Clin Oral Investig. 2022;26(1):931–7. https://doi.org/10.1007/s00784-021-04076-3
[44] Afsa M, Rahmati H. Branching of mandibular canal on cone beam computed tomography images. Singapore Dent J. 2017;38:21–5. https://doi.org/10.1016/j.sdj.2016.10.005
[45] Von Arx T, Bornstein MM. The bifid mandibular canal in three-dimensional radiography: morphologic and quantitative characteristics. Swiss Dent J. 2021;131(1):10–28. https://doi.org/10.61872/sdj-2021-01-01
[46] Komal A, Bedi RS, Wadhwani P, Aurora JK, Chauhan H. Study of normal anatomy of mandibular canal and its variations in Indian population using CBCT. J Maxillofac Oral Surg. 2020;19:98–105. https://doi.org/10.1007/s12663-019-01224-x
[47] Gerlach NL, Ghaeminia H, Bronkhorst EM, Bergé SJ, Meijer GJ, Maal TJJ. Accuracy of assessing the mandibular canal on cone-beam computed tomography: a validation study. J. Oral Maxillofac Surg. 2014;72(4):666–71. https://doi.org/10.1016/j.joms.2013.09.030
[48] Alali Y, Mohammed W, Alabulkarim M, Alshahrani A, Almawh A. Assessment of bifid mandibular canals using cone beam computed tomography in general population: a retrospective evaluation. Eur Rev Med Pharmacol Sci. 2024;28(5):1741–50. https://doi.org/10.26355/eurrev_202403_35587
[49] Varvara G, Feragalli B, Turkyilmaz I, D’Alonzo A, Rinaldi F, Bianchi S, et al. Prevalence and characteristics of accessory mandibular canals: a cone-beam computed tomography study in a European adult population. Diagnostics. 2022;12(8):1885. https://doi.org/10.3390/diagnostics12081885
[50] Direk F, Uysal II, Kivrak AS, Dogan NU, Fazliogullari Z, Karabulut AK. Reevaluation of mandibular morphometry according to age, gender, and side. J Craniofac Surg. 2018;29(4):1054–9. https://doi.org/10.1097/SCS.0000000000004293
[51] Von Arx T, Hänni A, Sendi P, Buser D, Bornstein MM. Radiographic study of the mandibular retromolar canal: an anatomic structure with clinical importance. J Endod. 2011;37(12):1630–5. https://doi.org/10.1016/j.joen.2011.09.007
[52] Saiman K, Jothi R, Nordin R, Nazimi A, Ramli R. Anatomical variations of inferior alveolar nerve as potential risk factor for nerve injury during bilateral sagittal split osteotomy. Malays J Oral Maxillofac Surg. 2010;8:159.
[53] Maqbool A, Ali Sultan A, Battista Bottini G, Hopper C. Pain caused by a dental implant impinging on an accessory inferior alveolar canal: a case report. Int J Prosthodont. 2013;26(2);125–6. https://doi.org/10.11607/ijp.3191
[54] Wyatt WM. Accessory mandibular canal: literature review and presentation of an additional variant. Quintessence Int. 1996;27(2):111–3.
[55] Verea Linares C, Mohindra A, Evans M. Haemorrhage following coronectomy of an impacted third molar associated with a bifid mandibular canal: a case report and review of the literature. Oral Surg. 2016;9(4):248–51. https://doi.org/10.1111/ors.12206
[56] Valenzuela-Fuenzalida J, Cariseo C, Gold M, Díaz D, Orellana M, Iwanaga J. Anatomical variations of the mandibular canal and their clinical implications in dental practice: a literature review. Surg Radiol Anat. 2021;43:1259–72. https://doi.org/10.1007/s00276-021-02708-7
[57] Nicol P, Loncle T, Pasquet G, Vacher C. Surgical implications of the anatomic situation of the mandibular canal for mandibular osteotomies: a cone beam computed tomographic study. Surg Radiol Anat. 2020;42:509–14. https://doi.org/10.1007/s00276-019-02379-5
[58] Sekerci AE, Sahman H. Cone beam computed tomographic analyses of the position and course of the mandibular canal: relevance to the sagittal split ramus osteotomy. Biomed Res Int. 2014;2014(1):945671. https://doi.org/10.1155/2014/945671
[59] Auluck A, Pai KM, Mupparapu M. Multiple mandibular nerve canals: radiographic observations and clinical relevance. Report of 6 cases. Quintessence Int. 2007;38(9):781–7.