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Sequential surgical signatures in micro-suturing task

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

Surgical processes are generally only studied by identifying differences in populations such as participants or level of expertise. But the similarity between this population is also important in understanding the process. We therefore proposed to study these two aspects.

Methods

In this article, we show how similarities in process workflow within a population can be identified as sequential surgical signatures. To this purpose, we have proposed a pattern mining approach to identify these signatures.

Validation

We validated our method with a data set composed of seventeen micro-surgical suturing tasks performed by four participants with two levels of expertise.

Results

We identified sequential surgical signatures specific to each participant, shared between participants with and without the same level of expertise. These signatures are also able to perfectly define the level of expertise of the participant who performed a new micro-surgical suturing task. However, it is more complicated to determine who the participant is, and the method correctly determines this information in only 64% of cases.

Conclusion

We show for the first time the concept of sequential surgical signature. This new concept has the potential to further help to understand surgical procedures and provide useful knowledge to define future CAS systems.

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Acknowledgements

This work was funded by ImPACT Program of Council for Science, Technology and Innovation, Cabinet Office, Government of Japan. Authors thanks the IRT b<>com for the provision of the software “Surgery Workflow Toolbox [annotated],” used for this work.

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Authors and Affiliations

  1. Univ Rennes, Inserm, LTSI - UMR_S 1099, 35000, Rennes, France

    Arnaud Huaulmé & Pierre Jannin

  2. Department of Mechanical Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan

    Kanako Harada & Mamoru Mitsuishi

  3. MIPS, University of Haute-Alsace, Mulhouse, France

    Germain Forestier

Authors
  1. Arnaud Huaulmé
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  2. Kanako Harada
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  3. Germain Forestier
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  4. Mamoru Mitsuishi
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  5. Pierre Jannin
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Corresponding author

Correspondence to Arnaud Huaulmé.

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The authors declare that they have no conflict of interest.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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This articles does not contain patient data.

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Huaulmé, A., Harada, K., Forestier, G. et al. Sequential surgical signatures in micro-suturing task. Int J CARS 13, 1419–1428 (2018). https://doi.org/10.1007/s11548-018-1775-x

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  • DOI: https://doi.org/10.1007/s11548-018-1775-x

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