Abstract
Purpose
A model-based risk analysis for oncologic liver surgery was described in previous work (Preim et al. in Proceedings of international symposium on computer assisted radiology and surgery (CARS), Elsevier, Amsterdam, pp. 353–358, 2002; Hansen et al. Int I Comput Assist Radiol Surg 4(5):469–474, 2009). In this paper, we present an evaluation of this method.
Methods
To prove whether and how the risk analysis facilitates the process of liver surgery planning, an explorative user study with 10 liver experts was conducted. The purpose was to compare and analyze their decision-making.
Results
The results of the study show that model-based risk analysis enhances the awareness of surgical risk in the planning stage. Participants preferred smaller resection volumes and agreed more on the safety margins’ width in case the risk analysis was available. In addition, time to complete the planning task and confidence of participants were not increased when using the risk analysis.
Conclusion
This work shows that the applied model-based risk analysis may influence important planning decisions in liver surgery. It lays a basis for further clinical evaluations and points out important fields for future research.
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References
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Acknowledgments
The authors thank the anonymous participants of the study and all involved physicians, in particular Dr. Benjamin Geisler (Fraunhofer MEVIS, Bremen, Germany) and Dr. Nicholas Wendt (Sankt Josef Hospital, Bremen, Germany) for fruitful discussions and clinical advice. In addition, we express gratitude to Christoph Lange (Bruker Daltonics, Bremen, Germany) for his support in statistics.
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Hansen, C., Zidowitz, S., Preim, B. et al. Impact of model-based risk analysis for liver surgery planning. Int J CARS 9, 473–480 (2014). https://doi.org/10.1007/s11548-013-0937-0
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DOI: https://doi.org/10.1007/s11548-013-0937-0