# Imaging-Based Clinical Management of Mandibular Canal Variants: PR–CBCT–Selective MRI

**Authors:** Ingrid C. Landfald, Magdalena Łapot, Łukasz Olewnik

PMC · DOI: 10.3390/biomedicines13112760 · 2025-11-12

## TL;DR

This paper reviews imaging techniques for identifying mandibular canal variants and proposes a workflow to improve clinical decisions in dental procedures.

## Contribution

A novel imaging-led workflow is proposed to guide clinical decisions based on mandibular canal variants using PR, CBCT, and MRI.

## Key findings

- CBCT reveals more mandibular canal variants than panoramic radiography, with prevalence dependent on imaging parameters.
- Selective MRI can detect soft-tissue branches not visible in bony canals, aiding targeted clinical decisions.
- The Landfald Clinical Framework is suggested as a tool to link variant patterns to procedural adjustments.

## Abstract

Background: Mandibular canal (MC) variants are common and clinically relevant for anesthesia, implant placement, third-molar surgery, and osteotomies. Reported prevalences vary widely because they depend on imaging modality, acquisition parameters, and operational definitions. Methods: This was a focused narrative review with structured methods (PubMed/MEDLINE and Scopus, 2000–6 October 2025; last search 6 October 2025), predefined eligibility criteria and dual independent screening; no meta-analysis was conducted. Study-selection counts are reported in the text. Prevalence statements are contextualized by modality, imaging parameters (e.g., cone-beam computed tomography (CBCT) voxel size magnetic resonance imaging (MRI) field strength/sequences), and diagnostic thresholds (e.g., anterior loop (AL) criteria). Results: Compared with panoramic radiography (PR), CBCT consistently reveals more variant pathways. Typical CBCT estimates for bifid MC fall in the single-digit to low double-digit range, contingent on voxel size and definitions, whereas PR detects far fewer. Trifid canals are uncommon (≈1–2% in CBCT series). Reported retromolar canal frequencies vary broadly across populations and protocols, and AL length and prevalence are threshold-dependent. Selective MRI may complement CBCT by depicting soft-tissue branches not accompanied by a bony canal. We synthesize a variant-aware, imaging-led workflow: PR for screening; CBCT when predefined criteria are met and results are reasonably expected to change management; MRI reserved for targeted soft-tissue questions, in line with As Low as Reasonably Achievable (ALARA)/and As Low As Diagnostically Acceptable (ALADA) principles. We apply the Landfald Clinical Framework (LCF) as a hypothesis-generating, clinical synthesis tool linking variant patterns to procedural modifications and risk mitigation. Conclusions: A narrowed, clinically oriented approach—contextualizing prevalence by modality and definitions and applying an imaging-led, variant-aware workflow—can improve planning and safety in the posterior mandible. The LCF is used pragmatically within this workflow and does not constitute a new anatomical taxonomy; formal reliability and validity testing remain necessary.

## Full-text entities

- **Genes:** PGR (progesterone receptor) [NCBI Gene 5241] {aka NR3C3, PR}
- **Diseases:** neurosensory symptoms (MESH:D006319), nerve (MESH:C537568), neuroma (MESH:D009463), bleeding (MESH:D006470), vascular complications (MESH:D003925), impingement (MESH:D019534), IANB failure (MESH:D051437), sensory disturbance (MESH:D012678), LCF-RMC (MESH:D056735), injury to (MESH:D014947), nerve stretch (MESH:D057896), bifid (MESH:C535441), nerve trauma (MESH:D020221), nerve entrapment (MESH:D009408), LCF (MESH:D000075902), neuropathies (MESH:D009422), AL (MESH:D001765), chronic pain (MESH:D059350), BMC (MESH:D008338), dysesthesia (MESH:D010292), postoperative neuropathy (MESH:D019106), infection (MESH:D007239), Postoperative Complications (MESH:D011183), numbness (MESH:D006987), vascular injury (MESH:D057772), compression injuries (MESH:D050815), AMF (MESH:D008607), IAN (MESH:D000080902)
- **Chemicals:** AL (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12650482/full.md

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Source: https://tomesphere.com/paper/PMC12650482