Evidence map›Paper›PMID 42378378›Full record

ArticleClinical and experimental dental research2026

Influence of Metal Artifact Reduction Algorithms on the Detection of Inferior Alveolar Canal Perforations by Zirconia Implants in CBCT Images.

Parisa Soltani, Mohammad Hossein Manouchehri, Sara Rostamian, Hugh Devlin, Amirhossein Moaddabi, Aida Ekhtiari, Mahsa Aeinehvand, Gianrico Spagnuolo, Reyhaneh Rostamian, Niccolo Giuseppe Armogida and 2 more

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Article in Clinical and experimental dental research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

12 authors.

Parisa SoltaniDepartment of Oral and Maxillofacial Radiology, Dental Implants Research Center, Dental Research Institute, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID 0000-0002-9273-5279
Mohammad Hossein ManouchehriDepartment of Oral and Maxillofacial Surgery, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.
Sara RostamianStudent Research Committee, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.ORCID 0009-0008-7504-7475
Hugh DevlinThe Dental School, The University of Bristol, Bristol, UK.
Amirhossein MoaddabiDepartment of Oral and Maxillofacial Surgery, Dental Research Center, Mazandaran University of Medical Sciences, Sari, Iran.
Aida EkhtiariDepartment of Oral and Maxillofacial Radiology, Student Research Committee, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran.
Mahsa AeinehvandDepartment of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Gianrico SpagnuoloDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples 'Federico II', Naples, Italy.ORCID 0000-0003-3769-9786
Reyhaneh RostamianSchool of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Niccolo Giuseppe ArmogidaDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples 'Federico II', Naples, Italy.
Francesco RiccitielloDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples 'Federico II', Naples, Italy.
Mariangela CerneraDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples 'Federico II', Naples, Italy.ORCID 0000-0001-6356-6536

Funding

Isfahan University of Medical Sciences 3403862
6 · The paper itself

Abstract

introductionThis study aims to evaluate the efficacy of a metal artifact reduction (MAR) algorithm in detecting contact between zirconia implants and inferior alveolar canal. MATERIALS AND

methodsTwelve zirconia implants were placed in dry human mandibles using surgical guides, in two conditions: 1 mm above and within the canal. cone beam computed tomography (CBCT) was acquired with the MAR algorithm turned off and on. Three observers indicated whether canal damage was present using a 5-point Likert scale: 1. Definitely no contact, 2. Probably no contact, 3. Uncertain, 4. Probably contact, and 5. Definitely contact. Sensitivity and specificity were calculated and the ROC curve was used to compare the two conditions (α = 0.05).

resultsThe area under curve (AUC) was higher in MAR On condition for all observers; however, the differences in AUC between the On and Off MAR states were not statistically significant (p > 0.05): for observer 1, AUC increased from 0.9916 (Off) to 1.0 (On); for Observer 2, it increased from 0.7666 to 0.8833; and for Observer 3, it increased from 0.95 to 1.0. Observers 1 and 3 displayed 100% sensitivity and specificity regardless of MAR activation, while for Observer 2, diagnostic sensitivity increased from 66.7% to 83.3% with MAR activation, while specificity remained constant at 80% in both conditions.

conclusionFor the detection of contact of the zirconia implants with the IAC, activating the MAR algorithm slightly increased the diagnostic performance metrics of CBCT images, but the differences were not statistically significant. CLINICAL RELEVANCE: Activating the MAR algorithm did not produce a statistically significant improvement in detecting contact between zirconia implants and the inferior alveolar canal.

Indexed as

AlgorithmsArtifactsCone-Beam Computed TomographyDental ImplantsMandibular CanalZirconiumHumansMandibleMetalsSensitivity and SpecificityDental ImplantsMetalsZirconiumzirconium oxideartifactcone beam computed tomographydental implantmandibular canal

Identifiers

PMID42378378
PMCPMC13317989

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