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New method for analysing spatial relationships of facial muscles on MRI: a pilot study.

Authors :
Schutte, H.
Bielevelt, F.
Muradin, M.S.M.
Bleys, R.L.A.W.
Rosenberg, A.J.W.P.
Source :
International Journal of Oral & Maxillofacial Surgery; Sep2024, Vol. 53 Issue 9, p731-738, 8p
Publication Year :
2024

Abstract

Dysfunction of the facial musculature can have significant physical, social, and psychological consequences. In surgeries such as cleft surgery or craniofacial bimaxillary osteotomies, the perioral facial muscles may be detached or severed, potentially altering their functional vectors and mimicry capabilities. Ensuring correct reconstruction and maintenance of anatomical sites and muscle vectors is crucial in these procedures. However, a standardized method for perioperative assessment of the facial musculature and function is currently lacking. The aim of this study was to develop a workflow to analyse the three-dimensional vectors of the facial musculature using magnetic resonance imaging (MRI) scans. A protocol for localizing the origins and insertions of these muscles was established. The protocol was implemented using the 3DMedX computer program and tested on 7 Tesla MRI scans obtained from 10 healthy volunteers. Inter- and intra-observer variability were assessed to validate the protocol. The absolute intra-observer variability was 2.6 mm (standard deviation 2.0 mm), and absolute inter-observer variability was 2.6 mm (standard deviation 1.5 mm). This study presents a reliable and reproducible method for analysing the spatial relationships and functional significance of the facial muscles. The workflow developed facilitates perioperative assessment of the facial musculature, potentially aiding clinicians in surgical planning and potentially enhancing the outcomes of midface surgery. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09015027
Volume :
53
Issue :
9
Database :
Supplemental Index
Journal :
International Journal of Oral & Maxillofacial Surgery
Publication Type :
Academic Journal
Accession number :
178733427
Full Text :
https://doi.org/10.1016/j.ijom.2024.03.003