Literature DB >> 16161111

In vivo strain measurements from hardware and lamina during spine fusion.

John A Szivek1, Rolando F Roberto, David S Margolis.   

Abstract

Currently, spine fusion is determined using radiography and clinical evaluation. There are discrepancies between radiographic evidence and direct measurements of fusion, such as operative exploration and biomechanical or histological measurements. In order to facilitate the rapid return of patients to normal activities, a monitoring technique to accurately detect fusion in vivo and to prevent overload during the postoperative period would be useful. The objectives of this study were to develop an implantable monitoring system consisting of CPC-coated strain gauges and a radio transmitter to detect the onset of fusion and measure strain during postsurgical activities. A patient underwent anterior release and fusion, followed by posterior instrumentation and fusion with segmental spinal instrumentation. Four strain gauges were placed during surgery. One was attached to the left-side rod and one to each of the lamina at T9, T10, and T11. An externally powered implanted radio transmitter attached to the gauges was placed in a subcutaneous pouch. Strains were monitored weekly and tabulated during various activities for 7 months. Peak strains during twisting and bending were tabulated to detect the onset of fusion. Strains were also recorded during activities such as climbing off an examination table, rising from a chair, and climbing stairs. Strains collected from the left rod indicated that, immediately postoperatively, it was loaded at acceptable levels. The largest and most consistent strain changes measured from the lamina were recorded during twisting. Copyright (c) 2005 Wiley Periodicals, Inc.

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Year:  2005        PMID: 16161111     DOI: 10.1002/jbm.b.30262

Source DB:  PubMed          Journal:  J Biomed Mater Res B Appl Biomater        ISSN: 1552-4973            Impact factor:   3.368


  8 in total

1.  Studying the Feasibility of Postoperative Monitoring of Spinal Fusion Progress Using a Self-Powered Fowler-Nordheim Sensor-Data-Logger.

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Journal:  IEEE Trans Biomed Eng       Date:  2022-01-20       Impact factor: 4.538

Review 2.  'SMART' implantable devices for spinal implants: a systematic review on current and future trends.

Authors:  Sihyong J Kim; Tian Wang; Matthew H Pelletier; William R Walsh
Journal:  J Spine Surg       Date:  2022-03

3.  A handheld computer as part of a portable in vivo knee joint load monitoring system.

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Journal:  J Med Device       Date:  2008-09-01       Impact factor: 0.582

4.  Sensate scaffolds coupled to telemetry can monitor in vivo loading from within a joint over extended periods of time.

Authors:  Chris P Geffre; Cody L Bliss; John A Szivek; Donald W Deyoung; John T Ruth; David S Margolis
Journal:  J Biomed Mater Res B Appl Biomater       Date:  2008-01       Impact factor: 3.368

Review 5.  Wireless Technologies for Implantable Devices.

Authors:  Bradley D Nelson; Salil Sidharthan Karipott; Yvonne Wang; Keat Ghee Ong
Journal:  Sensors (Basel)       Date:  2020-08-16       Impact factor: 3.576

6.  Osseosurface electronics-thin, wireless, battery-free and multimodal musculoskeletal biointerfaces.

Authors:  Le Cai; Alex Burton; David A Gonzales; Kevin Albert Kasper; Amirhossein Azami; Roberto Peralta; Megan Johnson; Jakob A Bakall; Efren Barron Villalobos; Ethan C Ross; John A Szivek; David S Margolis; Philipp Gutruf
Journal:  Nat Commun       Date:  2021-11-18       Impact factor: 14.919

7.  Continuous Rod Load Monitoring to Assess Spinal Fusion Status-Pilot In Vivo Data in Sheep.

Authors:  Markus Windolf; Maximilian Heumann; Viktor Varjas; Caroline Constant; Manuela Ernst; Robert Geoff Richards; Hans-Joachim Wilke; Lorin Michael Benneker
Journal:  Medicina (Kaunas)       Date:  2022-07-06       Impact factor: 2.948

Review 8.  Implantable sensor technology: measuring bone and joint biomechanics of daily life in vivo.

Authors:  Darryl D D'Lima; Benjamin J Fregly; Clifford W Colwell
Journal:  Arthritis Res Ther       Date:  2013-01-31       Impact factor: 5.156

  8 in total

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