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ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

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Fig. 2: The relative overall organ strength improvement OSI as a function of the<br />

injected cement volume (left figure) and the cement type (right figure). A larger<br />

injection volume has a strong positive effect whereas the variation of the cement<br />

stiffness has only a marginal positive effect on the overall strength.<br />

5. DISCUSSION AND CONCLUSIONS<br />

The aim of this study was to combine computational simulation techniques to model the<br />

mechanical effect of vertebroplasty and to assess the efficacy of the procedure using<br />

quantitative measures. The results presented support our hypothesis, that the efficacy is<br />

strongly related to the location of the injection site within the vertebral body. This<br />

statement is supported by the SAI-distributions in Figure 1. For treatment position 2,<br />

only 3 mL of cement injection is required to achieve approximately the same strength<br />

improvement that follows the treatment at position 1 with 6 mL cement. An important<br />

aspect is that the OSI-indicator, for some of the injection locations, indicates a negative<br />

procedure outcome, which should be avoided. The results in Figure 2 suggest that the<br />

injected volume should be as large as possible. This finding might be true from a<br />

mechanical point of view. However, a larger injection volume is also associated with a<br />

higher treatment risk (cement leakage, embolism etc.) and consequently shouldn’t be<br />

the optimization path to follow.<br />

Our findings fit within the conclusions drawn from the randomized controlled trials that<br />

support or question the efficacy of vertebroplasty. Critics would say that an<br />

improvement by vertebroplasty can only achieved by chance whereas the optimist<br />

argues that the uncertainty can be eliminated by optimization techniques. The<br />

computational model presented in this study is a first attempt to solve this optimization<br />

problem by considering the patient’s condition prior the treatment and sampling the<br />

(highly dimensional) solution space at uniformly distributed points. Besides the optimal<br />

treatment parameters, the presented measures allow to quantitatively judge the efficacy<br />

of the vertebroplasty according to the patient’s condition individually.<br />

At the moment, this model is limited to one spine level, and there is no evidence on the<br />

accuracy of the overall computational model. While there is an ongoing effort to<br />

experimentally validate the model and improve its accuracy, an extension towards a<br />

multi-level or full-body diagnosis tool can be achieved by incorporating it into a<br />

musculoskeletal simulation system.

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