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  3. Population Statistics Approach for Safety Assessment in Robotic Cochlear Implantation.
 

Population Statistics Approach for Safety Assessment in Robotic Cochlear Implantation.

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BORIS DOI
10.7892/boris.95899
Publisher DOI
10.1097/MAO.0000000000001357
PubMed ID
28196000
Description
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.
Date of Publication
2017-06
Publication Type
Article
Subject(s)
500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health
Language(s)
en
Contributor(s)
Williamson, Tom
ARTORG Center - Image Guided Therapy
Gerber, Kateorcid-logo
ARTORG Center - Image Guided Therapy
Gerber, Nicolasorcid-logo
ARTORG Center - Artificial Hearing Research
ARTORG Center - Image Guided Therapy
Weder, Stefan Andreasorcid-logo
Universitätsklinik für Hals-, Nasen- und Ohrenkrankheiten, Kopf- und Halschirurgie (HNOK)
Anschuetz, Lukas
Wagner, Franca
Universitätsinstitut für Diagnostische und Interventionelle Neuroradiologie
Weisstanner, Christian
Universitätsinstitut für Diagnostische und Interventionelle Neuroradiologie
Mantokoudis, Georgios
Universitätsklinik für Hals-, Nasen- und Ohrenkrankheiten, Kopf- und Halschirurgie (HNOK)
Caversaccio, Marco
Universitätsklinik für Hals-, Nasen- und Ohrenkrankheiten, Kopf- und Halschirurgie (HNOK)
Weber, Stefan
ARTORG Center - Image Guided Therapy
Additional Credits
Universitätsklinik für Hals-, Nasen- und Ohrenkrankheiten, Kopf- und Halschirurgie (HNOK)
Universitätsinstitut für Diagnostische und Interventionelle Neuroradiologie
ARTORG Center - Image Guided Therapy
ARTORG Center - Artificial Hearing Research
Series
Otology & neurotology
Publisher
Lippincott Williams & Wilkins
ISSN
1531-7129
Access(Rights)
open.access
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