Literature DB >> 20437317

Effectiveness of resonance frequency in predicting orthopedic implant strength and stability in an in vitro osseointegration model.

Brad M Isaacson1, Richard E Vance, Teri G Rosenbaum Chou, Roy D Bloebaum, Kent N Bachus, Joseph B Webster.   

Abstract

Developing noninvasive tools that determine implant attachment strength to bone and monitor implant stability over time will be important to optimize rehabilitation protocols following insertion of osseointegrated implants in patients with limb loss. While resonance frequency has been previously shown to correlate with implant stability in dental implants placed in the mandible and maxilla, this tool has not been evaluated with implants placed in the medullary canal of long bones. In an in vitro model used to simulate irregular medullary canal implant contact and osseointegration, a strong positive correlation was determined between resonance frequency implant stability quotient values and the force required for implant pushout. The force required for implant displacement also correlated to the distance from the point of fixation to the transducer at the proximal end of the implant (point of resonance frequency monitoring).

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Year:  2009        PMID: 20437317     DOI: 10.1682/jrrd.2009.06.0080

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  3 in total

1.  Developing a quantitative measurement system for assessing heterotopic ossification and monitoring the bioelectric metrics from electrically induced osseointegration in the residual limb of service members.

Authors:  Brad M Isaacson; Jeroen G Stinstra; Rob S MacLeod; Paul F Pasquina; Roy D Bloebaum
Journal:  Ann Biomed Eng       Date:  2010-05-11       Impact factor: 3.934

2.  Establishing multiscale models for simulating whole limb estimates of electric fields for osseointegrated implants.

Authors:  Brad M Isaacson; Jeroen G Stinstra; Roy D Bloebaum; Paul F Pasquina; Rob S MacLeod
Journal:  IEEE Trans Biomed Eng       Date:  2011-06-27       Impact factor: 4.538

3.  Experimental Investigation of Vibration Analysis on Implant Stability for a Novel Implant Design.

Authors:  Shouxun Lu; Benjamin Steven Vien; Matthias Russ; Mark Fitzgerald; Wing Kong Chiu
Journal:  Sensors (Basel)       Date:  2022-02-21       Impact factor: 3.576

  3 in total

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