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, Hiroshi 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 publicationIFMBE Proceedings
Pages1452-1455
Number of pages4
Volume39 IFMBE
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventWorld Congress on Medical Physics and Biomedical Engineering - Beijing
Duration: 2012 May 262012 May 31

Other

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

Fingerprint

Tumors
Brain
Navigation
Regression analysis
Surgery
Magnetic resonance imaging

Keywords

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

ASJC Scopus subject areas

  • Biomedical Engineering
  • Bioengineering

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 IFMBE Proceedings (Vol. 39 IFMBE, pp. 1452-1455) https://doi.org/10.1007/978-3-642-29305-4_382

Method for end time prediction of brain tumor resections using analysis of surgical navigation information and tumor size characteristics. / Nakamura, R.; Aizawa, T.; Muragaki, Y.; Maruyama, T.; Iseki, Hiroshi.

IFMBE Proceedings. Vol. 39 IFMBE 2013. p. 1452-1455.

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

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 IFMBE Proceedings. vol. 39 IFMBE, pp. 1452-1455, World Congress on Medical Physics and Biomedical Engineering, Beijing, 12/5/26. https://doi.org/10.1007/978-3-642-29305-4_382
Nakamura, R. ; Aizawa, T. ; Muragaki, Y. ; Maruyama, T. ; Iseki, Hiroshi. / Method for end time prediction of brain tumor resections using analysis of surgical navigation information and tumor size characteristics. IFMBE Proceedings. Vol. 39 IFMBE 2013. pp. 1452-1455
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