Computer simulation for the optimization of instrumentation strategies in adolescent idiopathic scoliosis.
Recent studies reveal a large variability of instrumentation strategies in adolescent idiopathic scoliosis (AIS). Determination of the optimal configuration remains controversial. This study aims to develop a method to define the optimal surgical instrumentation strategy using a computer model imple...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 47; no. 11; pp. 1143 - 1155 |
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| Autores principales: | , , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Nov2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104907567&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104907567 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Nov2009 vid: 47 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 104907567 NLM19669822 2010453653 10.1007/s11517-009-0509-1 NLM19669822 104907567 ppf: 1143 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Computer simulation for the optimization of instrumentation strategies in adolescent idiopathic scoliosis. aug: au: Majdouline Y Aubin CE Sangole A Labelle H Majdouline, Younes Aubin, Carl-Eric Sangole, Archana Labelle, Hubert affil: Department of Mechanical Engineering, Ecole Polytechnique de Montréal, P.O. Box 6079, Station Centre-ville, Montreal, QC, H3C 3A7, Canada sug: subj: Computer Simulation Scoliosis Surgery Therapy, Computer Assisted Human Orthopedic Surgery Methods Prostheses and Implants ab: Recent studies reveal a large variability of instrumentation strategies in adolescent idiopathic scoliosis (AIS). Determination of the optimal configuration remains controversial. This study aims to develop a method to define the optimal surgical instrumentation strategy using a computer model implemented in a spine surgery simulator (S3). A total of 702 different strategies were simulated on a scoliotic patient using S3. Each configuration was assessed using objective functions that represented different correction objectives. Twelve geometric parameters were used in the three anatomic planes and mobility, and their relative weights were defined by a spine surgeon according to his objectives for correction of scoliosis. Six instrumentation parameters were manipulated in a uniform experimental design framework. An interpolation technique was used to build an approximation model from the simulation results and to locate instrumentation parameters minimizing the objective function. Small or no differences in the correction between the simulated optimal strategy and the real postoperative results of the instrumented segments were observed in the three planes. But the same overall correction was obtained by using fewer implants (only screws) and less instrumented levels. This study demonstrates the potential and feasibility of using a spine surgery simulator to optimize the planning of surgical instrumentation in AIS. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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