ArticleClinical oral investigations2017
Tracking of the inferior alveolar nerve: its implication in surgical planning.
Article in Clinical oral investigations, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Population-Based 3D Mapping of Inferior Alveolar Nerve Clearance in Bilateral Sagittal Split Osteotomy.Journal of personalized medicine · 2026Article
- A feasibility study of deep learning-based segmentation of the inferior alveolar nerve on magnetic resonance neurography.Scientific reports · 2026Article
- Geometric Fidelity of Magnetic Resonance Imaging and Computed Tomography-Derived Virtual 3D Models of Porcine Cadaver Mandibles: Conventional Versus Artificial Intelligence-Based Segmentation.Oral health & preventive dentistry · 2025Article
- Development and verification of a convolutional neural network-based model for automatic mandibular canal localization on multicenter CBCT images.BMC oral health · 2025Article
- Assessing the accuracy of artificial intelligence in mandibular canal segmentation compared to semi-automatic segmentation on cone-beam computed tomography images.Polish journal of radiology · 2025Article
- Automatic detection and proximity quantification of inferior alveolar nerve and mandibular third molar on cone-beam computed tomography.Clinical oral investigations · 2024Article
- Trends and Patterns in Mandible Bone Cancer Research: An Updated Comprehensive Bibliometric Review : Prevalence of Supernumerary Teeth in Patients with Cleft lip and Palate.Galen medical journal · 2024Article
- Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT dataset.Scientific reports · 2023Article
- Accurate mandibular canal segmentation of dental CBCT using a two-stage 3D-UNet based segmentation framework.BMC oral health · 2023Article
- Automated segmentation of the mandibular canal and its anterior loop by deep learning.Scientific reports · 2023Article
- Automatic segmentation of mandibular canal using transformer based neural networks.Frontiers in bioengineering and biotechnology · 2023Article
- Validation of different protocols of inferior alveolar canal tracing using cone beam computed tomography (CBCT).Dento maxillo facial radiology · 2022Article
- MRI of the inferior alveolar nerve and lingual nerve-anatomical variation and morphometric benchmark values of nerve diameters in healthy subjects.Clinical oral investigations · 2020Article
- High resolution MRI for quantitative assessment of inferior alveolar nerve impairment in course of mandible fractures: an imaging feasibility study.Scientific reports · 2020Article
- A CBCT Based Three-Dimensional Assessment of Mandibular Posterior Region for Evaluating the Possibility of Bypassing the Inferior Alveolar Nerve While Placing Dental Implants.Diagnostics (Basel, Switzerland) · 2020Article
- Vestibular bone thickness of the mandible in relation to the mandibular canal-a retrospective CBCT-based study.International journal of implant dentistry · 2019Article
- The Effects of Epidermal Neural Crest Stem Cells on Local Inflammation Microenvironment in the Defected Sciatic Nerve of Rats.Frontiers in molecular neuroscience · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectivesThe objective of the study is to assess the correlation between the mandibular canal tracing done on cone beam CT (CBCT) data, with the size, shape, and position of the neurovascular bundle (NB) obtained by magnetic resonance imaging (MRI). MATERIAL AND
methodsSix human cadaver mandibles were scanned with a CBCT Promax® scanner (Planmeca, Helsinki, Finland) and with an Ingenia® 3.0 T MR system (Philips, Amsterdam, The Netherlands). The NB was segmented from the MRI dataset, while the mandibular canal (MC) tracing was done on the CBCT images. Quantitative 3D analysis was made for the full-segmented nerves and for three defined regions of specific clinical interest, namely angle, body, and mental region.
resultsFrom the 3D MRI analysis, the nerve thickness (for the angle, body, and mental region) ranges from 0.8 to 5.2 mm, while the thickness of the mandibular canal tracing is approximately 2.00 mm on both sides as chosen in the tracing software. The mean volume of the NB on the left is 828.49 ± 215.54 mm
conclusionsSurgeons should be aware of the shortcomings of nerve tracing in the different regions of the mandible. CLINICAL RELEVANCE: Tracing of the inferior alveolar nerve (IAN) underestimates shape and volume. Whenever nerve tracing instead of well-recognizable anatomical bony landmarks is used for surgical planning that need precision, a wider safe margin is recommended.
Indexed as
Identifiers
27878463What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.