Title: Study on Quantitative Measurement of Multislice Spiral CT and Anatomical Structure of Middle Ear Surgery
Abstract: Objective: To provide a valuable imaging anatomic method and accurate positioning for operation of tympana. Methods: The clinical information of 112 adult cases (224 sides) was analyzed by CT scanning and three-dimensional image reconstruction of skull base. Axial and coronal images were reconstructed using multiplanar reconstruction (MPR) technique and the anatomic objective structure was displayed by rotating imaging slices. The data were analyzed in statistically and compared with the published cadaver data. Results: There were significant differences in the distance from the chochleariform process to the horizontal portion of facial nerve recess (C), the shortest distance from the pyramidal eminence to the pyramid segment of the facial canal (D), inner diameter (E) and outer diameter (F) of facial recess, inner diameter (G) and outer diameter (H) of sinus tympani, the shortest distance from the head of stapes to the horizontal portion of facial nerve recess (N) and the shortest distance from the stapedial footplate to the horizontal portion of facial nerve recess (O) between different genders (P 0.05 or P 0.01). The left distance from the anterior wall of sigmoid sinus to the posterior wall of extemal auditory meatus (A), the distance from the lateral wall of sigmoid sinus to the surface of mastoid process (B), the vertical distance from the lateral semicircular canal to the jugular bulb (Q) were significantly greater than those on the right side (P 0.05). There were no significant differences between imaging quantitative measurement and published cadaver data (P 0.05). Conclusion: The result of three-dimensional quantitative measurement by using multiplanar reconstruction could represent a real distance of anatomic structures, which may provide a valuable method for surgical approach and accurate positioning of relative structure in operation.
Publication Year: 2012
Publication Date: 2012-01-01
Language: en
Type: article
Access and Citation
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot