Williamson, Tom; Gerber, Kate; Gerber, Nicolas; Weder, Stefan; Anschuetz, Lukas; Wagner, Franca; Weisstanner, Christian; Mantokoudis, Georgios; Caversaccio, Marco; Weber, Stefan (2017). Population Statistics Approach for Safety Assessment in Robotic Cochlear Implantation. Otology & neurotology, 38(5), pp. 759-764. Lippincott Williams & Wilkins 10.1097/MAO.0000000000001357
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Population statistics safety rCI with images.pdf - Accepted Version Available under License Publisher holds Copyright. Download (1MB) | Preview |
HYPOTHESIS
Descriptive statistics with respect to patient anatomy and image guidance accuracy can be used to assess the effectiveness of any system for minimally invasive cochlear implantation, on both an individual patient and wider population level.
BACKGROUND
Minimally invasive cochlear implantation involves the drilling of a tunnel from the surface of the mastoid to cochlea, with the trajectory passing through the facial recess. The facial recess anatomy constrains the drilling path and places prohibitive accuracy requirements on the used system. Existing single thresholds are insufficient for assessing the effectiveness of these systems.
METHODS
A statistical model of the anatomical situation encountered during minimally invasive drilling of the mastoid for cochlear implantation was developed. A literature review was performed to determine the statistical distribution of facial recess width; these values were confirmed through facial recess measurements on computed tomography (CT) data. Based on the accuracy of a robotic system developed by the authors, the effect of variation of system accuracy, precision, and tunnel diameter examined with respect to the potential treatable portion of the population.
RESULTS
A facial recess diameter of 2.54 ± 0.51 mm (n = 74) was determined from a review of existing literature; subsequent measurements on CT data revealed a facial recess diameter of 2.54 ± 0.5 mm (n = 23). The developed model demonstrated the effects of varying accuracy on the treatable portion of the population.
CONCLUSIONS
The presented model allows the assessment of the applicability of a system on a wider population scale beyond examining only the system's ability to reach an arbitrary threshold accuracy.
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