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Virtual mastoidectomy performance evaluation through multi-volume analysis.

ABSTRACT: Development of a visualization system that provides surgical instructors with a method to compare the results of many virtual surgeries (n > 100).A masked distance field models the overlap between expert and resident results. Multiple volume displays are used side-by-side with a 2D point display.Performance characteristics were examined by comparing the results of specific residents with those of experts and the entire class.The software provides a promising approach for comparing performance between large groups of residents learning mastoidectomy techniques.

SUBMITTER: Kerwin T

PROVIDER: S-EPMC3480554 | biostudies-other | 2013 Jan

REPOSITORIES: biostudies-other

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Virtual mastoidectomy performance evaluation through multi-volume analysis.

Kerwin Thomas T Stredney Don D Wiet Gregory G Shen Han-Wei HW

International journal of computer assisted radiology and surgery 20120412 1

<h4>Purpose</h4>Development of a visualization system that provides surgical instructors with a method to compare the results of many virtual surgeries (n > 100).<h4>Methods</h4>A masked distance field models the overlap between expert and resident results. Multiple volume displays are used side-by-side with a 2D point display.<h4>Results</h4>Performance characteristics were examined by comparing the results of specific residents with those of experts and the entire class.<h4>Conclusions</h4>The ...[more]

PMID: 22528058

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Project description:BackgroundReliable identification and quantification of bioaerosols is fundamental in aerosol microbiome research, highlighting the importance of using sampling equipment with well-defined performance characteristics. Following advances in sequencing technology, shotgun metagenomic sequencing (SMS) of environmental samples is now possible. However, SMS of air samples is challenging due to low biomass, but with the use of high-volume air samplers sufficient DNA yields can be obtained. Here we investigate the sampling performance and comparability of two hand-portable, battery-operated, high-volume electret filter air samplers, SASS 3100 and ACD-200 Bobcat, previously used in SMS-based aerosol microbiome research.ResultsSASS and Bobcat consistently delivered end-to-end sampling efficiencies > 80% during the aerosol chamber evaluation, demonstrating both as effective high-volume air samplers capable of retaining quantitative associations. Filter recovery efficiencies were investigated with manual and sampler-specific semi-automated extraction procedures. Bobcat semi-automated extraction showed reduced efficiency compared to manual extraction. Bobcat tended towards higher sampling efficiencies compared to SASS when combined with manual extraction. To evaluate real-world sampling performance, side-by-side SASS and Bobcat sampling was done in a semi-suburban outdoor environment and subway stations. SMS-based microbiome profiles revealed that highly abundant bacterial species had similar representation across samplers. While alpha diversity did not vary for the two samplers, beta diversity analyses showed significant within-pair variation in subway samples. Certain species were found to be captured only by one of the two samplers, particularly in subway samples.ConclusionsSASS and Bobcat were both found capable of collecting sufficient aerosol biomass amounts for SMS, even at sampling times down to 30 min. Bobcat semi-automated filter extraction was shown to be less effective than manual filter extraction. For the most abundant species the samplers were comparable, but systematic sampler-specific differences were observed at species level. This suggests that studies conducted with these highly similar air samplers can be compared in a meaningful way, but it would not be recommended to combine samples from the two samplers in joint analyses. The outcome of this work contributes to improved selection of sampling equipment for use in SMS-based aerosol microbiome research and highlights the importance of acknowledging bias introduced by sampling equipment and sample recovery procedures.

Dataset Information

Virtual mastoidectomy performance evaluation through multi-volume analysis.

Publications

Virtual mastoidectomy performance evaluation through multi-volume analysis.

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