Method for end time prediction of brain tumor resections using analysis of surgical navigation information and tumor size characteristics

R. Nakamura, T. Aizawa, Y. Muragaki, T. Maruyama, H. Iseki

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    The rapid development in science and technology in recent years has led to corresponding developments in medical technology. At the same time, however, surgical treatments and procedures are complicated by a variety of techniques and applications of medical devices, which has led to an increase in the demands on surgical staff. To address this problem, surgical workflow analyses have been carried out to ensure the reliability of surgical techniques by visualizing and analyzing complex surgery processes. In previous studies, we visualized the removal progress of malignant brain tumors during MRI-guided navigation surgery and developed a technique to predict the time required for tumor removal using analysis of surgical navigation information. In this paper, we introduce a new method and the results of the end time prediction of tumor removal using both intraoperative performance measurements with surgical navigation data and the estimated mean incremental speed of progress using regression analysis of 20 brain tumor resection cases based on the relationship between tumor size (volume or surface direction) and removal time. The results show that the accuracy was significantly improved from the estimation based on regression analysis by adding the intraoperative progress analysis.

    Original languageEnglish
    Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering
    Pages1452-1455
    Number of pages4
    DOIs
    Publication statusPublished - 2013 Apr 16
    EventWorld Congress on Medical Physics and Biomedical Engineering - Beijing, China
    Duration: 2012 May 262012 May 31

    Publication series

    NameIFMBE Proceedings
    Volume39 IFMBE
    ISSN (Print)1680-0737

    Conference

    ConferenceWorld Congress on Medical Physics and Biomedical Engineering
    CountryChina
    CityBeijing
    Period12/5/2612/5/31

    Keywords

    • Glioma
    • Intraoperative MRI
    • Neurosurgery
    • Segmentation
    • Surgical workflow analysis

    ASJC Scopus subject areas

    • Bioengineering
    • Biomedical Engineering

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  • Cite this

    Nakamura, R., Aizawa, T., Muragaki, Y., Maruyama, T., & Iseki, H. (2013). Method for end time prediction of brain tumor resections using analysis of surgical navigation information and tumor size characteristics. In World Congress on Medical Physics and Biomedical Engineering (pp. 1452-1455). (IFMBE Proceedings; Vol. 39 IFMBE). https://doi.org/10.1007/978-3-642-29305-4_382