Schutte Hilde, Muradin Marvick S M, Seubring Karlien, Bleys Ronald L A W, Pameijer Frank A, Rosenberg Antoine J W P
Department of Maxillofacial Surgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Department of Functional Anatomy, University Medical Center Utrecht, Utrecht, The Netherlands.
Plast Reconstr Surg Glob Open. 2022 Feb 15;10(2):e4113. doi: 10.1097/GOX.0000000000004113. eCollection 2022 Feb.
Decreased smile dynamics is reported as an unwanted side effect after Le Fort I osteotomies. It is assumed that this negative sequela might be caused by postoperative changes in the anatomy of peri-oral mimic muscles. Due to a lack of specific anatomical knowledge, the exact mechanism is not yet clarified. This makes prevention of the undesired changes in smile dynamics difficult. The first aim of this study is to increase basic anatomical and radiological MRI knowledge of the peri-oral mimic muscles. The second aim is to investigate if 7 Tesla MRI scans are better suited to identify these muscles than 3 Tesla MRI scans.
Eleven peri-oral mimic muscles were chosen as subjects of the present study. Three and 7 Tesla MRI scans of a cadaver head were made. The same head was cut in axial slices using a cryomacrotome. Every second slice was digitally photographed. A three-dimensional model was created utilizing EMAC software, which served as gold standard for the identification and comparison of the chosen peri-oral mimic muscles on both MRI scans.
All predetermined peri-oral mimic muscles could be identified in the cadaver head, and a detailed radiological atlas was created. The ease of identification and separation of the peri-oral mimic muscles was significantly higher on the 7 Tesla MRI than on the 3 Tesla MRI scan ( < 0.001).
A 7 Tesla MRI scanner offers great improvement in the identification of peri-oral mimic muscles compared with a 3 Tesla scanner.
据报道,勒福Ⅰ型截骨术后出现微笑动态减弱是一种不良副作用。据推测,这种负面后遗症可能是由口周表情肌解剖结构的术后变化引起的。由于缺乏具体的解剖学知识,确切机制尚未阐明。这使得预防微笑动态的不良变化变得困难。本研究的首要目的是增加对口周表情肌的基础解剖学和放射学MRI知识。第二个目的是研究7特斯拉MRI扫描是否比3特斯拉MRI扫描更适合识别这些肌肉。
选择11块口周表情肌作为本研究的对象。对一具尸体头部进行了3特斯拉和7特斯拉的MRI扫描。使用冷冻切片机将同一个头部切成轴向切片。每隔一片进行数码拍照。利用EMAC软件创建了一个三维模型,该模型作为在两种MRI扫描上识别和比较所选口周表情肌的金标准。
在尸体头部中可以识别出所有预先确定的口周表情肌,并创建了详细的放射学图谱。7特斯拉MRI扫描时口周表情肌的识别和分离难度明显低于3特斯拉MRI扫描(<0.001)。
与3特斯拉扫描仪相比,7特斯拉MRI扫描仪在识别口周表情肌方面有很大改进。