Volumetric assessment of lateral pterygoid muscle in unilateral chewing: a stereologic study
Autor: | Huseyin Balcioglu, Umit Karacayli, Þ Sinan Yuruker, Hakan S. Tuna, Yiğit Uyanıkgil |
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Rok vydání: | 2009 |
Předmět: |
Adult
Male Cephalometry Stereology Muscle volume Lateral pterygoid muscle Functional Laterality Muscle hypertrophy Young Adult stomatognathic system Image Processing Computer-Assisted Medicine Humans Process (anatomy) Retrospective Studies medicine.diagnostic_test business.industry Magnetic resonance imaging Pterygoid Muscles General Medicine Anatomy Image Enhancement Magnetic Resonance Imaging Cavalieri's principle Otorhinolaryngology Mastication Surgery Female business |
Zdroj: | The Journal of craniofacial surgery. 20(5) |
ISSN: | 1536-3732 |
Popis: | Unilateral chewing habit is common in dentate popula- tions. It may initiate a hypertrophy process in the lateral pterygoid muscles compared with the nonused sides. We hypothesized that the lateral pterygoid muscles of the affected sides would be larger in volume than those of the nonaffected sides in subjects with unilateral chewing habit. Because analysis of medical images in accordance with the rules of modern stereology enables precise unbiased esti- mates of muscle volume, and magnetic resonance imaging (MRI) is a criterion standard as an imaging modality for the analysis of muscles because of its excellent soft-tissue resolution, we estimated lateral pterygoid muscle volume both at right and left sides using stereologic techniques (Cavalieri principle) by means of MRI. The MRI-estimated volumes of both the inferior and the superior heads of the lateral pterygoid muscle at the chewing side were significantly greater than the opposite side when compared. This finding may assist in the interpretation of lateral pterygoid muscle and tempo- romandibular jointYrelated problems in maxillofacial surgery clin- ics. This investigation has also demonstrated that systematically sampled MRI slices through the lateral pterygoid muscle can be used to obtain unbiased estimates. |
Databáze: | OpenAIRE |
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