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Assessment of traumatic mandibular nerve using MR neurography sequence: a preliminary study
DC Field | Value | Language |
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dc.contributor.author | 김동욱 | - |
dc.contributor.author | 김진성 | - |
dc.contributor.author | 김형준 | - |
dc.contributor.author | 이민욱 | - |
dc.date.accessioned | 2024-08-19T00:09:24Z | - |
dc.date.available | 2024-08-19T00:09:24Z | - |
dc.date.issued | 2024-06 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/200232 | - |
dc.description.abstract | Background: Iatrogenic mandibular nerve damage resulting from oral surgeries and dental procedures is painful and a formidable challenge for patients and oral surgeons alike, mainly because the absence of objective and quantitative methods for diagnosing nerve damage renders treatment and compensation ambiguous while often leading to medico-legal disputes. The aim of this study was to examine discriminating factors of traumatic mandibular nerve within a specific magnetic resonance imaging (MRI) protocol and to suggest tangible diagnostic criteria for peripheral trigeminal nerve injury. Methods: Twenty-six patients with ipsilateral mandibular nerve trauma underwent T2 Flex water, 3D short tau inversion recovery (STIR), and diffusion-weighted imaging (DWI) acquired by periodically rotating overlapping parallel lines with enhanced reconstruction (PROPELLER) pulse sequences; 26 injured nerves were thus compared with contra-lateral healthy nerves at anatomically corresponding sites. T2 Flex apparent signal to noise ratio (FSNR), T2 Flex apparent nerve-muscle contrast to noise ratio (FNMCNR) 3D STIR apparent signal to noise ratio (SSNR), 3D STIR apparent nerve-muscle contrast to noise ratio (SNMCNR), apparent diffusion coefficient (ADC) and area of cross-sectional nerve (Area) were evaluated. Results: Mixed model analysis revealed FSNR and FNMCNR to be the dual discriminators for traumatized mandibular nerve (p < 0.05). Diagnostic performance of both parameters was also determined with area under the receiver operating characteristic curve (AUC for FSNR = 0.712; 95% confidence interval [CI]: 0.5660, 0.8571 / AUC for FNMCNR = 0.7056; 95% confidence interval [CI]: 1.011, 1.112). Conclusions: An increase in FSNR and FNMCNR within our MRI sequence seems to be accurate indicators of the presence of traumatic nerve. This prospective study may serve as a foundation for sophisticated model diagnosing trigeminal nerve trauma within large patient cohorts. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | BioMed Central | - |
dc.relation.isPartOf | BMC ORAL HEALTH | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Diffusion Magnetic Resonance Imaging / methods | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Imaging, Three-Dimensional / methods | - |
dc.subject.MESH | Magnetic Resonance Imaging* / methods | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Mandibular Nerve / diagnostic imaging | - |
dc.subject.MESH | Mandibular Nerve Injuries / diagnostic imaging | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Signal-To-Noise Ratio | - |
dc.subject.MESH | Trigeminal Nerve Injuries / diagnostic imaging | - |
dc.subject.MESH | Young Adult | - |
dc.title | Assessment of traumatic mandibular nerve using MR neurography sequence: a preliminary study | - |
dc.type | Article | - |
dc.contributor.college | College of Dentistry (치과대학) | - |
dc.contributor.department | Dept. of Oral and Maxillofacial Surgery (구강악안면외과학교실) | - |
dc.contributor.googleauthor | Hyunwoo Yang | - |
dc.contributor.googleauthor | Nak-Hoon Son | - |
dc.contributor.googleauthor | Dongwook Kim | - |
dc.contributor.googleauthor | Jae-Hee Chun | - |
dc.contributor.googleauthor | Jin Sung Kim | - |
dc.contributor.googleauthor | Tae Kyung Oh | - |
dc.contributor.googleauthor | Minwook Lee | - |
dc.contributor.googleauthor | Hyung Jun Kim | - |
dc.identifier.doi | 10.1186/s12903-024-04514-0 | - |
dc.contributor.localId | A05613 | - |
dc.contributor.localId | A04548 | - |
dc.contributor.localId | A01156 | - |
dc.contributor.localId | A04998 | - |
dc.relation.journalcode | J00371 | - |
dc.identifier.eissn | 1472-6831 | - |
dc.identifier.pmid | 38943102 | - |
dc.subject.keyword | Dental implant | - |
dc.subject.keyword | Inferior alveolar nerve | - |
dc.subject.keyword | Linear model | - |
dc.subject.keyword | Lingual nerve | - |
dc.subject.keyword | MR neurography | - |
dc.subject.keyword | Mandibular nerve | - |
dc.subject.keyword | Signal intensity | - |
dc.contributor.alternativeName | Kim, Dong Wook | - |
dc.contributor.affiliatedAuthor | 김동욱 | - |
dc.contributor.affiliatedAuthor | 김진성 | - |
dc.contributor.affiliatedAuthor | 김형준 | - |
dc.contributor.affiliatedAuthor | 이민욱 | - |
dc.citation.volume | 24 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 750 | - |
dc.identifier.bibliographicCitation | BMC ORAL HEALTH, Vol.24(1) : 750, 2024-06 | - |
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