Anatomical Parameters for Occipital Condyle Screws: An Analysis of 500 Condyles Using CT Scans

被引:6
|
作者
Bernstein, David N. [1 ]
Ikpeze, Tochukwu C. [1 ]
Foxx, Kenneth [2 ]
Omar, Adan [1 ]
Mesfin, Addisu [1 ]
机构
[1] Univ Rochester, Dept Orthopaed & Phys Performance, Rochester, NY USA
[2] Mercy Hosp Ft Smith, Mercy Clin Neurosurg, Ft Smith, AR USA
关键词
occipital condyle; occipitocervical instability; occipital condyle screws; morphology; safe surgery; MORPHOMETRIC-ANALYSIS; OCCIPITOCERVICAL FIXATION; BIOMECHANICAL ANALYSIS; CERVICAL-SPINE; JUNCTION; FUSION; INSTRUMENTATION; EXPERIENCE; PLACEMENT;
D O I
10.1177/2192568220983311
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Study Design: Retrospective observational study. Objective: To establish occipital condyle dimensions (length, width, height), as well as the medialization angle necessary for safe occipital condyle screw placement in occipitocervical fixation. Methods: Between 1/2014-6/2014, patients who presented to a single level 1 academic trauma center emergency room and received computed tomography (CT) imaging of the cervical spine as part of routine clinical care were identified. After excluding patients with cervical fractures, neoplastic disease, or infection, 500 condyles representing 250 patients were analyzed. Condyle length, height, and width (all reported in millimeters [mm]) were evaluated on the sagittal, coronal, and axial series, respectively. Medialization angle (reported in degrees) was evaluated on the axial series of CT imaging. Measurements were compared by sex and age. Results: The average condyle length, width, and height were 18.6 millimeters (mm) (range, 14.5-23.0 mm), 10.5 mm (range, 7.4-13.8 mm), and 11.3 mm (7.1-15.3 mm), respectively. Additionally, the average occipital condyle medialization angle was 23 degrees (range, 14-32 degrees). Occipital condyles of men were significantly longer, wider, and taller (all comparisons, p < 0.05). The medialization angle was significantly steeper for women than men (p < 0.05). No measurement differences were appreciated by age. Conclusion: Our findings are similar to previous studies in the field; however, length appears slightly shorter. Further, measurement differences were appreciated by sex but not age. Thus, our measurement findings emphasize the importance of preoperative planning utilizing individual patient anatomy to ensure safe placement of occipital condyle screws for optimal outcomes.
引用
收藏
页码:1475 / 1480
页数:6
相关论文
共 50 条
  • [31] Identification of Pulmonary Lung Nodules Centroid on CT Scans Using Moment Analysis
    Tjahyaningtijas, Hapsari Peni Agustin
    Purnama, I. Ketut Eddy
    Purnomo, Mauridhi H.
    2018 INTERNATIONAL CONFERENCE ON INTELLIGENT AUTONOMOUS SYSTEMS (ICOIAS), 2018, : 67 - 71
  • [32] Quality control of anatomical models using quantitative three-dimensional comparison of surfaces on the basis of multislice CT scans
    Schwaderer, E
    Dammann, F
    Heuschmid, M
    Claussen, CD
    RADIOLOGY, 2001, 221 : 167 - 168
  • [33] Automated measurement of lumbar pedicle screw parameters using deep learning algorithm on preoperative CT scans
    Zhang, Qian
    Zhao, Fanfan
    Zhang, Yu
    Huang, Man
    Gong, Xiangyang
    Deng, Xuefei
    JOURNAL OF BONE ONCOLOGY, 2024, 47
  • [34] Anatomical Analysis of Intraorbital Structures Regarding Sinus Surgery Using Multiplanar Reconstruction of Computed Tomography Scans
    Hwang, Se Hwan
    Park, Chan Soon
    Cho, Jin Hee
    Kim, Soo Whan
    Kim, Byung Guk
    Kang, Jun Myung
    CLINICAL AND EXPERIMENTAL OTORHINOLARYNGOLOGY, 2013, 6 (01) : 23 - 29
  • [35] Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning
    Weston, Alexander D.
    Korfiatis, Panagiotis
    Kline, Timothy L.
    Philbrick, Kenneth A.
    Kostandy, Petro
    Sakinis, Tomas
    Sugimoto, Motokazu
    Takahashi, Naoki
    Erickson, Bradley J.
    RADIOLOGY, 2019, 290 (03) : 669 - 679
  • [36] DETERMINATION OF LIVER VOLUME FROM CT SCANS USING HISTOGRAM CLUSTER-ANALYSIS
    FARJO, LA
    WILLIAMS, DM
    BLAND, PH
    FRANCIS, IR
    MEYER, CR
    JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 1992, 16 (05) : 674 - 683
  • [37] A Quantitative Analysis of Lung Elastography Using Free Breathing Fast Helical CT Scans
    Stiehl, B.
    Lauria, M.
    Barjaktarevic, I.
    Low, D.
    Santhanam, A.
    MEDICAL PHYSICS, 2020, 47 (06) : E260 - E260
  • [38] Effects of bisphosphonates on mandibular condyle of ovariectomized osteoporotic rats using micro-ct and histomorphometric analysis
    Jiang, Liting
    Shen, Xing
    Wei, Li
    Zhou, Qi
    Gao, Yiming
    JOURNAL OF ORAL PATHOLOGY & MEDICINE, 2017, 46 (05) : 398 - 404
  • [39] Deep learning-based COVID-19 diagnosis using CT scans with laboratory and physiological parameters
    Sameer, Humam Adnan
    Mutlag, Ammar Hussein
    Gharghan, Sadik Kamel
    IET IMAGE PROCESSING, 2023, 17 (11) : 3127 - 3142
  • [40] DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search
    Guo, Dazhou
    Ye, Xianghua
    Ge, Jia
    Di, Xing
    Lu, Le
    Huang, Lingyun
    Xie, Guotong
    Xiao, Jing
    Lu, Zhongjie
    Peng, Ling
    Yan, Senxiang
    Jin, Dakai
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2021, PT V, 2021, 12905 : 3 - 12