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Accessory Mandibular Foramina: An Anatomical Study in Dry Mandibles Along with Meta-Analysis

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19 December 2025

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22 December 2025

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Abstract
Background/Objectives: The accessory mandibular foramina (AMaFs) are small openings in the mandible that have been proposed to play a significant role in clinical practice. The objective of the present study was to examine the number, diameter, and distance of AMaFs to mandibular foramen in dry mandibles and to meta-analyze all available data after a systematic review, aiming to address gaps regarding the AMaFs potential clinical impact. Methods: We assessed the number, diameter, and spatial relationship of AMaFs to the mandibular foramen in human adult dry mandibles of unknown gender and age derived from our Laboratory. Stainless steel wire threads and digimatic caliper measurements were utilized by two separate raters. Cluster analysis was employed for the classification of foramina into distinct spatial groups. Furthermore, following the PRISMA guidelines, we conducted an unlimited literature search using the terms “accessory mandibular” and “foramen/foramina” across the PubMed, Scopus, SciELO, and Google Scholar databases to identify all published studies that reported on the prevalence and morphology of AMaFs in dry mandibles or cadaveric material. Radiological studies were excluded. The search was completed on July 13, 2025. Study quality was evaluated using the appropriate AQUA tool. Data synthesis was carried out using STATA 19. No external funding was received. Results: A total of 96 dry mandibles (50 dentate and 46 edentulous) were analyzed. AMaFs were detected in 8 / 96 mandibles (8.3 %). In these mandibles, a total of 25 accessory mandibular foramina, all superior to the mandibular foramen, were recognized (mean: 3.13 foramina / mandible) with a mean diameter 0.56 ± 0.10 mm, and a mean distance from the mandibular foramen 11.34 ± 1.29 mm (mean vertical distance: 10.32 ± 1.35 mm and mean absolute horizontal distance: 3.78 ± 0.49 mm). Of these foramina, 21 / 25 (84 %) had a diameter of ≥0.5 mm; their number, diameters, and distances from the mandibular foramen was comparable between left and right hemimandibles. Based on their positioning to the mandibular foramen, the AMaFs were classified into two distinct groups (clusters). Furthermore, a total of 36 studies were included in the meta-analysis. In most of the mandibles (65.1%; 95% CI: 57.7 – 72.2%; I2: 94.9%), no AMaF was detected. Unilateral presence of one or more AMaFs was observed in 20.9% of mandibles (95% CI: 16.3 – 25.9%; I2: 91.3%), while bilateral occurrence was identified in 10.6% (95% CI: 6.9 – 15.0%; I2: 93.0%). Additionally, 2.4% of mandibles (95% CI: 1.0 – 4.2%; I2: 86.3%) exhibited multiple AMaFs (≥2) on at least one side. On average, each hemimandible contained 0.253 AMaFs (95% CI: 0.198 – 0.312; I2: 96.9%). The overall mean diameter of AMaFs was estimated at 0.65 ± 0.33 mm. The substantial heterogeneity observed was not attributed to publication bias. Conclusions: AMaFs are detected in one third of the mandibles. The AMaFs are typically located superior to the mandibular foramen, on the anterior or posterior aspect of the mandible, and may provide additional entry routes for nerve fibers. Failure to recognize these anatomical variations usually lead to incomplete anesthesia or persistent pain in specific regions of the lower jaw during routine dental procedures. Clinicians should remain aware of these variations and adjust their surgical or anesthetic techniques accordingly to ensure effective and comprehensive anesthesia.
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1. Introduction

The mandibular foramen is an irregularly shaped opening located slightly above the midpoint of the medial surface of the mandibular ramus. From this foramen, the mandibular canal descends and extends anteriorly beneath the alveolar sockets toward the body of the mandible. The inferior alveolar nerve (IAN) and accompanying vessels enter the mandible through the mandibular foramen and course within this canal, providing sensory innervation and vascular supply to the teeth, periodontium, and lower lip [1,2]. Variations in the configuration of the mandibular canal are common; in approximately 60% of individuals the entire IAN is enclosed within a single canal, whereas in the remaining 40% the fibers are distributed in multiple branches [3].
Accessory mandibular foramina (AMaFs) are small openings located near the main mandibular foramen, occasionally large enough to transmit a neurovascular bundle [4]. Histological studies have confirmed the presence of nerve fibers within these foramina [5], while anatomical dissections suggest that in most cases the contained structures originate from tributaries of the inferior alveolar nerve, and less frequently from branches of the maxillary artery [6]. The arterial supply to this region is further complicated by small ascending or nutrient branches derived from the inferior alveolar and maxillary arteries [7,8].
Clinically, accessory mandibular foramina (AMaFs) have important implications as potential additional routes for neurovascular entry into the mandible, possibly explaining inferior alveolar nerve block (IANB) failures, which occur in up to 20% of cases even among experienced clinicians [3]. These accessory canals may also predispose to intraoperative bleeding or postoperative neurosensory disturbances during procedures such as sagittal split osteotomy, mandibular angle resection, or implant placement [9]. Beyond anesthetic relevance, AMaFs may facilitate the spread of infection or malignant cells from the floor of the mouth into the mandibular bone, underscoring their surgical and oncological significance and the need for precise knowledge of their prevalence and location [10]. Radiologically, panoramic imaging often fails to reveal these foramina due to superimposition and limited resolution, whereas cone-beam computed tomography (CBCT) provides superior three-dimensional visualization but may still underestimate their frequency. Consequently, direct anatomical examination of dry mandibles remains the most reliable method for identifying AMaFs and characterizing their morphology [11,12].
Despite multiple reports, data regarding the prevalence, size, and distribution of AMaFs remain inconsistent, likely due to variations in methodology, sample type, and imaging technique. Moreover, few studies have combined morphometric observation with quantitative synthesis. Therefore, the present study aimed to examine the number, diameter, and spatial relationship of accessory mandibular foramina to the mandibular foramen in adult dry mandibles, and to perform a comprehensive meta-analysis of all available anatomical data. This dual approach seeks to provide updated and clinically relevant insight into the anatomical variability and potential clinical significance of AMaFs, particularly regarding anesthesia and surgical interventions involving the mandible.

2. Materials and Methods

2.1. Specimen Selection

The study aimed to assess the number, size (diameter), and anatomical location of the AMaFs in relation to the mandibular foramen.
This observational study analyzed a total of 96 dry mandibles (50 dentate and 46 edentulous) sourced from the Anatomy Laboratory of the Department of Medicine at Democritus University of Thrace, Greece. The specimens came from individuals of Greek descent, though specific information regarding age or sex was not available. Specimens displaying fractures, deformities, or signs of erosion were excluded.
Since the research involved cadaveric material, ethical committee approval was not required.

2.2. Measurements

The purpose of the study was to quantify the number and diameter of AMaFs, as well as the distance between these structures and the mandibular foramen. The number of AMaFs was established though meticulous visual inspection under direct lighting conditions. Foramen diameters were assessed using a flexible stainless-steel wire with diameters ranging from 0.2 mm to 1.2 mm (UA218893; Zhejiang, China), following previously established methods [13] (Figure 1). Foramina measuring less than 0.2 mm were excluded from documentation. In cases where the wire could not be inserted, the diameter (di) was assigned the value of the next smallest wire size available. This method introduced a maximum absolute measurement error (de) of 0.1 mm. The average relative error was calculated as the mean of the ratios de / (di + de) across all i-th foramina.
All measurements were taken using a digimatic caliper (Mitutoyo Co., Japan) with an accuracy of 0.01 mm (Figure 2).
Each distance was measured from the center of each mandibular foramen. The location of each AMaF was determined using two imaginary lines (horizontal and vertical), dividing the area into four quadrants: anterior superior, posterior superior, anterior inferior, and posterior inferior. In detail, to determine the position of each foramen, the following distances were measured: i) Height, namely the vertical distance between the AMaF and the mandibular foramen (x); ii) Length, namely the horizontal distance between the genial AMaF and the mandibular foramen (y); and iii) Radius, namely the distance between the AMaF and the mandibular foramen (represented by the square root of x2 + y2). Of note, accessory mandibular foramina were assigned positive distance values if they were located superior to the mandibular foramen in the vertical plane and/or anterior to it in the horizontal plane. (Figure 3). The measurement protocol used is in keeping with recent studies [14]

2.3. Statistics

Continuous variables were expressed as means and standard errors (SE) and compared using Student’s t-test in case equal variances could be assumed; else, the Welch’s t-test was alternatively preferred. The Wilcoxon Signed Ranks test was used in case of deviation from normality.
Discrete variables were expressed as percentages and compared using chi-square test; in case of expected frequencies <5 in ≥25% of cells, the Fisher’s exact test was alternatively applied.
Two-step cluster analysis was further used to discriminate lingual foramina according to their direction and distance from genial tubercle.
Both stainless steel wire threads and digimatic caliper measurements were utilized by two separate raters; the intraclass correlation coefficient (ICC) was used to assess relatedness of raters.
The level of statistical significance was set to 0.05. All tests were two-tailed and performed using SPSS 26.0.

2.4. Meta-Analysis

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed [15]. Two separate investigators conducted an unlimited literature search using the terms “accessory mandibular” and “foramen/foramina” across the PubMed, Scopus, SciELO, and Google Scholar databases to identify all published studies that reported on the prevalence and morphology of AMaFs in dry mandibles or cadaveric material. In detail, we used the search algorithm “(accessory mandibular) AND ((foramen) OR (foramina))” in PubMed search and the “(accessory AND mandibular AND (foramina OR foramen)” in Scopus. Radiological studies were excluded. The search was completed on July 13, 2025.
For each included study, two independent reviewers extracted the following data: the first authors’ name, year of publication, study origin, type of material examined (dry mandibles or cadaveric specimens), total number of mandibles analyzed, number of mandibles without AMaFs, number of mandibles with unilateral or bilateral AMaFs (one or more), number of mandibles presenting multiple AMaFs (regardless of side), total count of AMaFs, mean diameter of the AMaFs, and their mean distance from the mandibular foramen. All data were entered into an Excel file formatted for compatibility with STATA.
The studies’ methodological rigor and potential for bias in both procedure and result reporting was evaluated by two individual reviewers using the Anatomical Quality Assessment (AQUA) tool for the quality assessment of anatomical studies [16]. Each of the 5 domains were judged as having low, high, or unclear risk of bias. The study was characterized to have high risk of bias if more than two domains were rated as “unclear”, or if any single domain was rated as high risk [17]. The Critical Appraisal Tool for Anatomical Meta-Analysis (CATAM) was used to evaluate the strength and reliability of the present meta-analysis [18].
Data synthesis was carried out using a random-effects model (REML) following Freeman-Tucked double arcsine transformation, implemented in STATA version 19 (StataCorp. 2025. Stata Statistical Software: Release 19. College Station, TX: StataCorp LLC) metaprop package for meta-analysis of proportions. Heterogeneity was assessed using the Q-test and the I2 statistic. Of note, I2 >75% is interpreted as high heterogeneity; however, we rather regarded I2 as the proportion of the variance in observed effects that is attributed to variance in true effects [19]. Publication bias was evaluated using Egger’s test, Begg’s test, funnel plot with trim-and-fill analysis, and Doi plot with its corresponding LFK index. The latter has been noted to offer additional value in detecting bias in prevalence meta-analyses, particularly those involving unregistered studies that are susceptible to selective reporting [20].
No external funding was received. This review was not registered in PROSPERO due to the temporary suspension of registrations for prevalence meta-analyses.

3. Results

3.1. Prevalence, Size and Location of Accessory Mandibular Foramina

Accessory mandibular foramina were detected in 8 out of the 96 mandibles examined (8.3%) (Figure 4).
In these mandibles, a total of 25 accessory mandibular foramina, all superiorly to the mandibular foramen, were recognized (mean: 3.13 foramina / mandible) with a mean diameter 0.56 ± 0.02 mm, and a mean distance from the mandibular foramen 11.34 ± 1.29 mm (mean vertical distance: 10.32 ± 1.35 mm and mean absolute horizontal distance: 3.78 ± 0.49 mm). Paradigms of multiple AMaFs are provided in Figure 5 (two foramina), Figure 6 (three foramina), and Figure 7 (five foramina). As per the latter case, an AMaF could be found very close to the main mandibular foramen (Figure 8).
Of these foramina, 21 / 25 (84%) had a diameter of ≥0.5 mm, as determined using stainless-steel wires. Their number was comparable between the left (1.25 ± 0.53) and the right (1.38 ± 0.32) hemimandible (p = 0.915). Moreover, their diameters and distances (p = 0.349) from the mandibular foramen did not present a statistically significant difference (p = 0.756).
The ICC was 1.000 for diameter, 0.999 for vertical distance, and 1.000 for horizontal distance. Based on their positioning to the mandibular foramen, the accessory mandibular foramina were classified into two distinct groups (clusters).

3.2. Clustering Accessory Mandibular Foramina Reveals Two Distinct Groups

Aiming to further analyze the special infrastructure of AMaFs, a grouped scattergram depicting vertical vs. horizontal distance of these foramina from mandibular foramen is provided as Figure 9. This scattergram visualizes the results of a two-step cluster analysis, showing two distinct groups of data points corresponding to the 21 AMaFs recorded with a diameter ≥0.5 mm: i) lower-proximal AMaFs and ii) upper-distal AMaFs.

3.3. Meta-Analysis of Prevalence of Accessory Mandibular Foramina

A total of 476 publications identified through databases searches: 211 from PubMed, 242 from Scopus, and 10 from SciELO. An additional 13 records were found via Google Scholar, and 3 more were obtained through citation tracking. Thirty-six studies were included in qualitative and quantitative assessment. The PRISMA flow diagram illustrating the complete selection process is shown in Figure 10.
All included studies and their characteristics are summarized in Table 1.
Using the Anatomical Quality Assessment (AQUA) tool, Domain 1 (Objective(s) and subject characteristics) the present observational study was rated as having a high risk of bias, primarily due to the absence of data on the cadavers’ sex, age, and medical background. In contrast, all remaining domains - Domain 2 (Study Design), Domain 3 (Methodology Characterization), Domain 4 (Descriptive Anatomy), and Domain 5 (Reporting of Results) – were judged to carry a low risk of bias. Similarly, all other included studies were qualitatively assessed (Table 2).
An AMaF was not detected in most of the mandibles (65.1%; 95% CI: 57.7 – 72.2%; I2: 94.9%) (Figure 11).
In 20.9% of mandibles (95% CI: 16.3 – 25.9%; I2: 91.3%), one or more AMaFs were observed unilaterally (Figure 12), while 10.6% (95% CI: 6.9 – 15.0%; I2: 93.0%) exhibited bilateral occurrence (Figure 13). Additionally, 2.4% of mandibles (95% CI: 1.0 – 4.2%; I2: 86.3%) presented multiple AMaFs (≥2) on at least one side (Figure 14).
On average, each hemimandible contained 0.253 AMaFs (95% CI: 0.198 – 0.312; I2: 96.9%). Subgroup analysis revealed a comparable prevalence of AMaFs between mandibles of Indian and non-Indian origin (Figure 15).
Table 3 presents a summary of all available data on the diameter of AMaFs. Based on the means and SD from the four studies with reported values, the overall mean diameter of AMaFs was estimated at 0.65 ± 0.33 mm.
The funnel plot revealed apparent asymmetry, while the trim-and-fill analysis imputed 7 additional studies on the right side of the funnel plot (Figure 16).
The Doi plot constructed suggested no asymmetry. The relevant LFK index was computed to -0.56. (Figure 17).
Egger’s and Begg’s tests yielded non-significant results (p=0.568 and p=0.913, respectively).

3.4. Critical Appraisal of the Present Meta-Analysis

Applying the Critical Appraisal Tool for Anatomical Meta-Analysis (CATAM), the present meta-analysis has been awarded 2 points for title, 4 points for Abstract, 6 points for Introduction, 14 points for Methods (4 points for Search strategy, 2 points for Selection criteria, 2 points for Data extraction, 4 points for Quality assessment, and 2 points for Statistical analysis), 12 points for Results (2 points for Search results, 2 points for the Characteristics of included studies, and 8 points for Outcomes), 6 points for Discussion, 4 points for Conclusion, and 2 points for References.

4. Discussion

4.1. Additive Value of the Present Study in Relation to the Established Knowledge

In the present observational study, all accessory mandibular foramina (AMaFs) with a diameter of ≥0.2 mm were systematically examined in dry human mandibles using stainless steel wires. To our knowledge, this represents the first application of this technique to cadaveric specimens. No AMaF was identified below the main mandibular foramen, which is consistent with previous large-scale observational studies in dry mandibles [40]. In all specimens exhibiting AMaFs, the accessory foramina were situated within 50 mm of the mandibular foramen and consistently measured less than 2 mm in diameter, in agreement with earlier findings [32].
Furthermore, the location of AMaFs was determined by measuring their distance from the mandibular foramen—a method considered reliable, as it is unaffected by whether the mandible is dentate or edentulous. Furthermore, age-related changes appear to have minimal influence on the mandibular foramen’s position [55]. In contrast, alternative reference points, such as the horizontal distance from the anterior border of the ramus or the vertical distance from the mandibular notch, may vary due to age-related alveolar ridge resorption [56]. This resorptive process is particularly evident in the posterior mandible, where edentulous areas exhibit reduced vertical height and buccolingual width compared with the dentate side [57].
The accompanying meta-analysis constitutes the first attempt to summarize worldwide available data and assess their heterogeneity. Most mandibles (65.1%), no accessory mandibular foramen (AMaF) was detected. Unilateral AMaFs were present in 20.9% of mandibles, while bilateral occurrence was observed in 10.6%. Multiple foramina (≥2) on at least one side appeared in 2.4% of cases. On average, each hemimandible contained 0.25 AMaFs, with a mean diameter of 0.65 ± 0.33 mm. The high heterogeneity among studies was not related to publication bias.
Differences in the reported prevalence of AMaFs across studies may partly reflect methodological variability. Cadaveric and dry-bone examinations generally identify a greater number of foramina than radiological studies, likely due to the limited spatial resolution of CBCT. For this reason, our study relied on direct examination of dry mandibles rather than imaging data. Two-dimensional radiographs, such as panoramic images, often fail to detect small accessory foramina due to overlapping structures and limited image resolution [58]. In contrast, CBCT and multi-detector CT allow three-dimensional visualization of the mandibular canal system, enabling detection of even narrow accessory canals [12,59,60]. Recent advancements in artificial intelligence (AI) further enhance segmentation accuracy and identification of accessory canal structures on CBCT images, thus improving diagnostic precision and treatment planning [61,62].
The presence of AMaFs poses significant challenges for achieving effective local anesthesia. These foramina, which may transmit accessory branches of the inferior alveolar nerve, can lead to incomplete anesthesia when the nerve fibers enter the mandible via alternate routes not reached by a standard inferior alveolar nerve block (IANB) [3]. Consequently, patients may experience persistent pain or inadequate numbness, particularly in the posterior teeth and gingival regions. Although the IANB is routinely used to anesthetize the inferior alveolar nerve as it enters the mandibular foramen, the presence of accessory foramina, often located anteriorly or posteriorly to the main foramen, can allow additional neural input to the mandible, thereby compromising anesthetic efficacy. Clinicians must therefore remain alert to such anatomical variations and modify their anesthetic techniques accordingly.
The reported failure rate of IANB approaches 20%, even among experienced practitioners. While inaccurate needle placement is a primary cause, anatomical factors such as retrognathic mandibles, high lingular position, and the presence of AMaFs are also significant contributors [3,63]. These variations may necessitate repeated or supplemental injections, thereby increasing the risk of nerve injury, hematoma, and patient discomfort. Moreover, as AMaFs may contain small arteries or veins, their inadvertent injury during surgical procedures such as third molar extraction, endodontic surgery, or implant placement can result in unexpected bleeding [7,47,64]. Inadequate preoperative assessment or misinterpretation of imaging may therefore lead to intraoperative complications or postoperative pain. Given that conventional panoramic radiographs frequently fail to depict such structures, CBCT imaging should be considered, particularly in cases with prior anesthesia failure or complex mandibular anatomy [12,65].
From a clinical perspective, the presence of AMaFs carries notable implications for oral and maxillofacial surgery. Procedures such as sagittal split osteotomies, mandibular angle resections, or bone harvesting may be complicated by these additional canals, as they increase the risk of damaging neurovascular bundles—potentially resulting in prolonged bleeding, neuroma formation, or postoperative sensory disturbances [5,66]. Surgical complications are particularly likely when AMaFs are located near the mandibular ramus or lingula, areas routinely manipulated during orthognathic and trauma surgeries. Therefore, precise knowledge of their prevalence and topographic distribution is essential for surgical planning and the prevention of inadvertent neurovascular injury.
Beyond anesthesia-related implications, AMaFs may also play a role in the spread of malignant tumors. Their number and distribution along the medial mandibular surface are of particular concern to oncologists and radiotherapists, as these foramina may offer direct access routes into cancellous bone, facilitating tumor invasion from the floor of the mouth [10]. In oncologic contexts, AMaFs can serve as potential pathways for perineural or vascular tumor dissemination from primary oral malignancies into deeper mandibular bone [67]. This perineural invasion is associated with poorer prognosis and higher recurrence rates. Failure to recognize such accessory pathways could therefore result in underestimation of tumor extent and inadequate surgical margins.
Preoperative imaging, particularly cone-beam computed tomography (CBCT), plays a critical role in identifying the position and size of both the mandibular foramen and any AMaFs, thus facilitating accurate and safe surgical planning. Although major complications are relatively rare, clinicians should be equipped to manage them when they arise. Numerous studies have confirmed the superior precision and reliability of CBCT compared to conventional radiographic techniques for detecting small anatomical structures [68]. This improved visualization underscores CBCT’s value as an indispensable tool for preoperative assessment, enhancing surgical accuracy and minimizing intraoperative complications.

4.2. Strengths and Limitations of the Present Study

A key strength of this study lies in the application of cluster analysis to identify subgroups of AMaFs and explore their specific characteristics. To our knowledge, this is the first study to employ such an approach, making it a novel contribution to the existing body of anatomical literature. Conversely, the use of stainless-steel wires, a method not commonly adopted for measuring foramen diameter, could be regarded as a potential limitation. Nevertheless, this technique has been thoroughly validated in prior research, and interrater agreement for foramina of comparable diameter to AMaFs has been shown to be nearly perfect [13]. Moreover, as AMaFs measuring < 0.2 mm were excluded from documentation, and the method introduced a maximum absolute measurement error of 0.1 mm, our approach is in keeping with that of Iwanaga et al, who considered AMaFs as “absent” when had a diameter smaller than 0.3 mm [6]. Additionally, findings related to the prevalence of rare anatomical variants, such as the presence of multiple AMaFs, may be susceptible to notable reporting bias [20]; however, the quantification of the maximum reporting bias, as performed in the present study, offers additive value.
Future studies are encouraged to further investigate the clinical relevance of the above-mentioned anatomical observations.

5. Conclusions

This study provides anatomical insights into the morphology and topography of accessory mandibular foramina. The findings support more accurate preoperative assessment and optimization of inferior alveolar nerve block anesthesia during mandibular surgical procedures. Greater awareness of these anatomical variations can reduce complications and improve surgical and anesthetic outcomes.

Author Contributions

Conceptualization, Z-M.T., and V.P.; methodology, Z-M.T., and V.P.; software, V.P.; validation, Z-M.T., and V.P.; formal analysis, V.P.; investigation, Z-M.T., and V.P.; resources, Z-M.T., and V.P.; data curation, V.P.; writing—original draft preparation, V.P.; writing—review and editing, Z-M.T., and V.P.; visualization, Z-M.T., and V.P.; supervision, V.P.; project administration, V.P.. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

An ethics committee approval was not applicable due to the cadaveric material studied.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data used can be provided upon reasonable request.

Acknowledgments

Not applicable.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Wire used to determine the diameter of accessory mandibular foramina.
Figure 1. Wire used to determine the diameter of accessory mandibular foramina.
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Figure 2. Measurements were performed using a digimatic caliper.
Figure 2. Measurements were performed using a digimatic caliper.
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Figure 3. Measurements protocol.
Figure 3. Measurements protocol.
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Figure 4. A single accessory mandibular foramen indicated by red arrow.
Figure 4. A single accessory mandibular foramen indicated by red arrow.
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Figure 5. Two accessory mandibular foramina indicated by red arrow.
Figure 5. Two accessory mandibular foramina indicated by red arrow.
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Figure 6. Three accessory mandibular foramina indicated by red arrow.
Figure 6. Three accessory mandibular foramina indicated by red arrow.
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Figure 7. Five accessory mandibular foramina indicated by red arrow.
Figure 7. Five accessory mandibular foramina indicated by red arrow.
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Figure 8. Accessory mandibular foramen very close to the main foramen indicated by red arrow.
Figure 8. Accessory mandibular foramen very close to the main foramen indicated by red arrow.
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Figure 9. Grouped scattergram depicting vertical vs horizontal distance of AMaFs from mandibular foramen after two step cluster analysis: two discrete clusters (lower-proximal AMaFs: green circle; upper-distal AMaFs: red circle) determine the direction and radius of IAN anesthesia.
Figure 9. Grouped scattergram depicting vertical vs horizontal distance of AMaFs from mandibular foramen after two step cluster analysis: two discrete clusters (lower-proximal AMaFs: green circle; upper-distal AMaFs: red circle) determine the direction and radius of IAN anesthesia.
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Figure 10. PRISMA flow diagram of the present meta-analysis.
Figure 10. PRISMA flow diagram of the present meta-analysis.
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Figure 11. Absence of AMaFs in mandibles; forest plot.
Figure 11. Absence of AMaFs in mandibles; forest plot.
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Figure 12. Unilateral presence of AMaFs in mandibles; forest plot.
Figure 12. Unilateral presence of AMaFs in mandibles; forest plot.
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Figure 13. Bilateral presence of AMaFs in mandibles; forest plot.
Figure 13. Bilateral presence of AMaFs in mandibles; forest plot.
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Figure 14. Presence of multiple AMaFs in mandibles; forest plot.
Figure 14. Presence of multiple AMaFs in mandibles; forest plot.
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Figure 15. Prevalence of AMaFs per hemimandibles; subgroup analysis (Indian vs non-Indian descent) forest plot.
Figure 15. Prevalence of AMaFs per hemimandibles; subgroup analysis (Indian vs non-Indian descent) forest plot.
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Figure 16. Funnel plot.
Figure 16. Funnel plot.
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Figure 17. Doi plot and Luis Furuja-Kanamori (LFK) index.
Figure 17. Doi plot and Luis Furuja-Kanamori (LFK) index.
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Table 1. Included studies.
Table 1. Included studies.
Study Origin Material Sample (No of mandibles) Mandibles without AMaF Mandibles with unilateral AMaF Mandibles with bilateral AMaF Mandibles with multiple AMaFs Total number of AMaFs
Sutton 1974 [21] Australia DM 300 131
Suazo 2009 [22] Brazil DM 256 147 60 49 0 158
Murlimanju 2011 [23] India DM 67 56 6 5 2 13
Freire 2012 [24] Brazil DM 222 126 56 40 27 173
Samanta 2013 [25] India DM 60 50 10 0 4 14
Padmavathi 2014 [26] India DM 65 38 19 8 0 27
222
12
18
Patra 2015 [27] India DM 160 42 51 67 36
Raghavendra 2015 [28] India DM 100 91 9 0 3
Gopalakrishna 2016 [29] India DM 100 82 18 0 0
Hoque 2016 [30] Bangladesh DM 185 173 9 3 0 15
Lima 2016 [31] Brazil DM 30 15 8 7 0 22
Shalini 2016 [32] India DM 204 138 28 18 20 110
Sultana 2016 [33] India DM 100 38 47 13 0 73
Goyal 2017 [34] India DM 100 61 26 12 1 53
Rajkumari 2017 [35] India DM 50 36 5 9 0 23
Asdullah 2018 [36] India DM 50 43 0 7 0 14
Mathur 2018 [37] India DM 100 75 21 4 6 35
Sarkar 2018 [38] India DM 50 36 14 0 0 14
Pal 2018 [39] India DM 160 55 78 27 21 164
Dave 2019 [40] India DM 300 174 104 22 70 290
Kuberappa 2019 [41] India DM 100 67 27 6 0 39
Mondal, 2019 [42] India DM 30 3 6 20 1 48
Nayak 2019 [43] India DM 30 24 2 5 0 10
Chandan 2020 [44] India DM 56 25 20 11 0 42
Iwanaga 2020 [6] Japan FFC 11 4 5 2 0 9
Singh 2020 [45] India DM 28 17 5 6 3 19
Thunyacharoen 2020 [46] Thailand DM 220 152 55 41 10 96
Mistry 2021 [47] India DM 140 96 18 26 2 96
Induja 2022 [48] India DM 50 18 32 0 0 32
Shwetha 2022 [49] India DM 112 78 22 12 3 49
Adalarasan 2024 [50] India DM 77 124 20 10 0 40
Bandlamudi 2024 [51] India DM 51 21 16 14 0 44
Sakalem 2024 [52] Brazil DM 63 59 4 0 4 4
Sujatha 2024 [53] India DM 70 59 10 1 1 13
Singh 2025 [54] India DM 30 19 6 5 1 12
Present study Greece DM 96 88 3 5 4 25
DM: Dry Mandibles; FFC: Fresh Frozen Cadavers.
Table 2. Quality assessment of the included studies using the AQUA tool.
Table 2. Quality assessment of the included studies using the AQUA tool.
Study Domain 1: Objectives and study characteristics Domain 2: Study design Domain 3: Methodology characterization Domain 4: Descriptive anatomy Domain 5: Reporting of results Quality assessment
Sutton 1974 [21] Unclear Low Low Unclear Low Medium
Suazo 2009 [22] Low Low Low Low Low High
Murlimanju 2011 [23] Low Low Low Low Low High
Freire 2012 [24] Unclear Low Low Low Low High
Samanta 2013 [25] Unclear Low Unclear Low Low Medium
Padmavathi 2014 [26] Unclear Low Low Low Low High
Patra 2015 [27] Unclear Low Unclear Low Low Medium
Raghavendra 2015 [28] Unclear Low Unclear Low Low Medium
Gopalakrishna 2016 [29] Unclear Low Unclear Low Low Medium
Hoque 2016 [30] Unclear Low Unclear Low Low Medium
Lima 2016 [31] Unclear Low Low Low Low High
Shalini 2016 [32] Unclear Low Low Low Low High
Sultana 2016 [33] Unclear Low Low Low Low High
Goyal 2017 [34] Unclear Low Unclear Low Low Medium
Rajkumari 2017 [35] Unclear Low Low Low Low High
Asdullah 2018 [36] Unclear Low Unclear Low Low Medium
Mathur 2018 [37] Unclear Low Unclear Low Low Medium
Sarkar 2018 [38] Unclear Low Low Low Low High
Pal 2018 [39] Unclear Low Unclear Low Low Medium
Dave 2019 [40] Unclear Low Unclear Low Low Medium
Kuberappa 2019 [41] Unclear Low Unclear Low Low Medium
Mondal, 2019 [42] Unclear Low Unclear Low Low Medium
Nayak 2019 [43] Low Low Unclear Low Low High
Chandan 2020 [44] Unclear Low Unclear Low Low Medium
Iwanaga 2020 [6] Low Low Low Low Low High
Singh 2020 [45] Unclear Low Unclear Low Low Medium
Thunyacharoen 2020 [46] Low Low Low Low Low High
Mistry 2021 [47] Unclear Low Unclear Low Low Medium
Induja 2022 [48] Unclear Low Low Low Unclear Medium
Shwetha 2022 [49] Unclear Low Low Low Low High
Adalarasan 2024 [50] Unclear Low Low Low Low High
Bandlamudi 2024 [51] Unclear Low Low Low Low High
Sakalem 2024 [52] Unclear Low Low Low Low High
Sujatha 2024 [53] Unclear Low Low Low Low High
Singh 2025 [54] Unclear Low Low Low Low High
Present study Unclear Low Low Low Low High
Table 3. AMaFs mean diameter (n = 4).
Table 3. AMaFs mean diameter (n = 4).
Study Total number of AMaFs AMaFs diameter (mean) AMaFs diameter (SD)
Sutton 1974 [21] 131 0.30 0.05
Shalini 2016 [32] 110 1.00 0.18
Induja 2022 [48] 32 0.93 0.17
Present study 25 0.56 0.10
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