Spectroscopy and Spectral Analysis, Volume. 36, Issue 4, 972(2016)

Real-Time Monitoring Method for Pedicle Screw Fixation Surgery Based on Near-Infrared Spectrum and Computer Tomography Images

LIU Yang-yang*, WANG Yu-yan, GAO Hui, QIAN Zhi-yu, XIE Jie-ru, and LI Wei-tao
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    Spine is one of the most important organs in the human body. One of the most commonly used method for the treatment of spinal diseases is the internal fixation and accurate placement of pedicle screw, which is a key factor of spinal surgery. However, due to the large differences as to the appearance of pedicles, it is hard to place the pedicle screw precisely, which will cause complication. Therefore, to find a new real-time intra-operative monitoring method with navigation is the direction of clinical application research. In this paper, a new method was firstly proposed. This method combined computer tomography (CT) values and near-infrared spectroscopy (NIRs) measurement data to guide the PS placement, and the relationship between NIRs parameters and CT values along the PS trajectory in vertebrae was investigated. First, we took pig vertebrae as samples and different puncture paths were planned. Second, a near-infrared monitoring device was utilized in experiments of fresh pig vertebrae to acquire the best NIRs monitoring pattern factors. Finally, the correlation function between NIRs data and CT values pattern factors was obtained. The results showed that CT values have a linear relationship with NIRs monitoring pattern factors, which provide references for real-time monitoring method in pedicle screw fixation surgery. This model can be applied in monitoring the pedicle screw implantation and alarming. The proposed method will be potential in improving the accuracy of PS placement and reduce the risk caused by the misplacement of pedicle screw.

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    LIU Yang-yang, WANG Yu-yan, GAO Hui, QIAN Zhi-yu, XIE Jie-ru, LI Wei-tao. Real-Time Monitoring Method for Pedicle Screw Fixation Surgery Based on Near-Infrared Spectrum and Computer Tomography Images[J]. Spectroscopy and Spectral Analysis, 2016, 36(4): 972

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    Paper Information

    Received: Jul. 18, 2014

    Accepted: --

    Published Online: Dec. 20, 2016

    The Author Email: Yang-yang LIU (lyylana@126.com)

    DOI:10.3964/j.issn.1000-0593(2016)04-0972-06

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