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Micro-CT of the human ossicular chain: Statistical shape modeling and implications for otologic surgery.
Bartling, Mandolin L; Rohani, Seyed A; Ladak, Hanif M; Agrawal, Sumit K.
Afiliação
  • Bartling ML; Schulich School of Medicine and Dentistry, Western University, London, Canada.
  • Rohani SA; Department of Otolaryngology-Head and Neck Surgery, Western University, London, Canada.
  • Ladak HM; Department of Otolaryngology-Head and Neck Surgery, Western University, London, Canada.
  • Agrawal SK; Department of Medical Biophysics, Western University, London, Canada.
J Anat ; 239(4): 771-781, 2021 10.
Article em En | MEDLINE | ID: mdl-34057736
ABSTRACT
The ossicular chain is a middle ear structure consisting of the small incus, malleus and stapes bones, which transmit tympanic membrane vibrations caused by sound to the inner ear. Despite being shown to be highly variable in shape, there are very few morphological studies of the ossicles. The objective of this study was to use a large sample of cadaveric ossicles to create a set of three-dimensional models and study their statistical variance. Thirty-three cadaveric temporal bone samples were scanned using micro-computed tomography (µCT) and segmented. Statistical shape models (SSMs) were then made for each ossicle to demonstrate the divergence of morphological features. Results revealed that ossicles were most likely to vary in overall size, but that more specific feature variability was found at the manubrium of the malleus, the long process and lenticular process of the incus, and the crura and footplate of the stapes. By analyzing samples as whole ossicular chains, it was revealed that when fixed at the malleus, changes along the chain resulted in a wide variety of final stapes positions. This is the first known study to create high-quality, three-dimensional SSMs of the human ossicles. This information can be used to guide otological surgical training and planning, inform ossicular prosthesis development, and assist with other ossicular studies and applications by improving automated segmentation algorithms. All models have been made publicly available.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ossículos da Orelha / Bigorna Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ossículos da Orelha / Bigorna Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article