Literature DB >> 30093957

A novel probe for measuring tissue bioelectrical impedance to enhance pedicle screw placement in spinal surgery.

Zheng Li1, Chong Chen1, Youxi Lin1, Xingye Li2, Haining Tan1, Matthew Tv Chan3, William Kk Wu3,4, Songtao Zhan5, Qun Cao5, Jianxiong Shen1.   

Abstract

Posterior spinal reconstruction with rods and pedicle screws has been widely used to corrects coliosis and other forms of degenerative spinal deformities. However, insertion of pedicle screwsis often clinically challenging, particularlyin patients with severe deformity. Bioelectrical impedance analysis is a technique that exploits the electrical properties of biological organs and tissues to indicate their compositions. Bioelectrical impedance measurement is non-invasive, simple, with adequate repeatability, and at a relatively low cost. In our study, we designed a bioelectrical impedance pedicle probe and use it to determine the bioelectrical impedance values in vitro and in vivo of different tissues relevant to pedicle screw insertion. We measured the bioelectrical impedance of different tissues relevant to pedicle screw placement in vitro and in vivo and explored the use of a prototype bioelectrical impedance pedicle probein guiding pedicle screw placement during spine surgery in animals. These data suggested that this novel bioelectrical impedance pedicle probe may be a new technique that has potential to offer accurate and safe placement of pedicle screws in spine surgery.

Entities:  

Keywords:  Pedicle screws; bioelectrical impedance; probe; severe spinal deformities

Year:  2018        PMID: 30093957      PMCID: PMC6079126     

Source DB:  PubMed          Journal:  Am J Transl Res        ISSN: 1943-8141            Impact factor:   3.940


  40 in total

1.  Clinical acceptance and accuracy assessment of spinal implants guided with SpineAssist surgical robot: retrospective study.

Authors:  Dennis P Devito; Leon Kaplan; Rupert Dietl; Michael Pfeiffer; Dale Horne; Boris Silberstein; Mitchell Hardenbrook; George Kiriyanthan; Yair Barzilay; Alexander Bruskin; Dieter Sackerer; Vitali Alexandrovsky; Carsten Stüer; Ralf Burger; Johannes Maeurer; Gordon D Donald; Donald G Gordon; Robert Schoenmayr; Alon Friedlander; Nachshon Knoller; Kirsten Schmieder; Ioannis Pechlivanis; In-Se Kim; Bernhard Meyer; Moshe Shoham
Journal:  Spine (Phila Pa 1976)       Date:  2010-11-15       Impact factor: 3.468

2.  Accuracy and efficacy of thoracic pedicle screws in curves more than 90 degrees.

Authors:  Timothy R Kuklo; Lawrence G Lenke; Michael F O'Brien; Ronald A Lehman; David W Polly; Teresa M Schroeder
Journal:  Spine (Phila Pa 1976)       Date:  2005-01-15       Impact factor: 3.468

3.  The position of the aorta relative to the spine for pedicle screw placement in the correction of idiopathic scoliosis.

Authors:  Jiaming Liu; Jianxiong Shen; Jianguo Zhang; Shugang Li; Hong Zhao; Guixing Qiu; Yipeng Wang
Journal:  J Spinal Disord Tech       Date:  2012-06

4.  Patterns of bioelectrical impedance vector distribution by body mass index and age: implications for body-composition analysis.

Authors:  Anja Bosy-Westphal; Sandra Danielzik; Ralf-Peter Dörhöfer; Antonio Piccoli; Manfred J Müller
Journal:  Am J Clin Nutr       Date:  2005-07       Impact factor: 7.045

5.  Bioelectrical Impedance as a Technique for Estimating Postmortem Interval,.

Authors:  Eriek S Hansen; Christiane Baigent; Sophia I Reck; Melissa Connor
Journal:  J Forensic Sci       Date:  2017-11-16       Impact factor: 1.832

6.  Bedside quantification of fat-free mass in acute spinal cord injury using bioelectrical impedance analysis: a psychometric study.

Authors:  Maya G Panisset; Kate Desneves; Leigh C Ward; Jillian Rafferty; Helena Rodi; Geoff Roff; Doa El-Ansary; Mary P Galea
Journal:  Spinal Cord       Date:  2017-12-28       Impact factor: 2.772

7.  Accuracy of robot-guided versus freehand fluoroscopy-assisted pedicle screw insertion in thoracolumbar spinal surgery.

Authors:  Granit Molliqaj; Bawarjan Schatlo; Awad Alaid; Volodymyr Solomiichuk; Veit Rohde; Karl Schaller; Enrico Tessitore
Journal:  Neurosurg Focus       Date:  2017-05       Impact factor: 4.047

8.  Posterior fusion only for thoracic adolescent idiopathic scoliosis of more than 80 degrees: pedicle screws versus hybrid instrumentation.

Authors:  Mario Di Silvestre; Georgios Bakaloudis; Francesco Lolli; Francesco Vommaro; Konstantinos Martikos; Patrizio Parisini
Journal:  Eur Spine J       Date:  2008-08-12       Impact factor: 3.134

9.  Safety and Efficacy of Single-Stage versus 2-Stage Spinal Fusion via Posterior Instrumentation and Anterior Thoracoscopy: A Retrospective Matched-Pair Cohort Study with 247 Consecutive Patients.

Authors:  Lennart Viezens; Phillip Reer; Andre Strahl; Lukas Weiser; Malte Schroeder; Joerg Beyerlein; Christian Schaefer
Journal:  World Neurosurg       Date:  2017-11-13       Impact factor: 2.104

10.  Prediction of fat-free body mass from bioelectrical impedance among 9- to 11-year-old Swedish children.

Authors:  B M Nielsen; M Dencker; L Ward; C Linden; O Thorsson; M K Karlsson; B L Heitmann
Journal:  Diabetes Obes Metab       Date:  2007-07       Impact factor: 6.577

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  4 in total

Review 1.  Advances in tissue state recognition in spinal surgery: a review.

Authors:  Hao Qu; Yu Zhao
Journal:  Front Med       Date:  2021-05-15       Impact factor: 4.592

2.  Tissue discrimination by bioelectrical impedance during PLL resection in anterior decompression surgery for treatment of cervical spondylotic myelopathy.

Authors:  Fuqiang Shao; He Bai; Muyao Tang; Yuan Xue; Yu Dai; Jianxun Zhang
Journal:  J Orthop Surg Res       Date:  2019-11-06       Impact factor: 2.359

3.  Novel Pedicle Navigator Based on Micro Inertial Navigation System (MINS) and Bioelectric Impedance Analysis (BIA) to Facilitate Pedicle Screw Placement in Spine Surgery: Study in a Porcine Model.

Authors:  Wentao Lin; Faqin Xie; Shuofeng Zhao; Songhui Lin; Chaoqin He; Zhiyun Wang
Journal:  Spine (Phila Pa 1976)       Date:  2022-03-02       Impact factor: 3.241

4.  Tissue Recognition Based on Electrical Impedance Classified by Support Vector Machine in Spinal Operation Area.

Authors:  Bingrong Chen; Yongwang Shi; Jiahao Li; Jiliang Zhai; Liang Liu; Wenyong Liu; Lei Hu; Yu Zhao
Journal:  Orthop Surg       Date:  2022-08-01       Impact factor: 2.279

  4 in total

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