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- 저자 : Kemal Yaman (검색결과 2 건)
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Kyphosis After Thoracolumbar Spine Fractures: WFNS Spine Committee Recommendations
Onur Yaman,Mehmet Zileli,Salim Şentürk,Kemal Paksoy,Salman Sharif 대한척추신경외과학회 2021 Neurospine Vol.18 No.4
Thoracolumbar fractures change the biomechanics of the spine. Load distribution causes kyphosis by the time. Treatment of posttraumatic kyphosis is still controversial. We reviewed the literature between 2010 and 2020 using a search with keywords “thoracolumbar fracture and kyphosis.” We removed osteoporotic fractures, ankylosing spondylitis fractures, non-English language papers, case reports, and low-quality case series. Up-to-date information on posttraumatic kyphosis management was reviewed to reach an agreement in a consensus meeting of the World Federation of Neurosurgical Societies (WFNS) Spine Committee. The first meeting was conducted in Peshawar in December 2019 with WFNS Spine Committee members’ presence and participation. The second meeting was a virtual meeting via the internet on June 12, 2020. We utilized the Delphi method to administer the questionnaire to preserve a high degree of validity. We summarized 42 papers on posttraumatic kyphosis. Surgical treatment of thoracolumbar kyphosis due to unstable burst fractures can be done via a posterior only approach. Less blood loss and reduced surgery time are the main advantages of posterior surgery. Kyphosis angle for surgical decision and fusion levels are controversial. However, global sagittal balance should be taken into consideration for the segment that has to be included. Adding an intermediate screw at the fractured level strengthens the construct.
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Özer Taga,Zeki Kiral,Kemal Yaman 한국정밀공학회 2016 International Journal of Precision Engineering and Vol.17 No.5
In this study, a milling system based on the in-line surface roughness measurement during machining process is developed using Artificial Neural Network (ANN) technique. In the proposed system, optimum feed rate and cutting speed are determined by ANN so as to provide the desired surface roughness, which is an important criterion for high quality surface. For this purpose, firstly an algorithm determining the operating principle of the system is developed. According to this algorithm, the optimum cutting parameters are predicted for end milling (finishing) operation by measuring semi-finish machining surface roughness via an optical sensor and then end milling operation is performed with the cutting parameters determined by the system. In the experimental part of this study, surface quality is observed for the milling process before and after the intervention of the system and the results is compared. The experimental results show that the system can be integrated with the modern machining systems in order to obtain the desired surface quality levels.
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