@article{hansen_impact_2014,
	title = {Impact of model-based risk analysis for liver surgery planning},
	volume = {9},
	issn = {1861-6429 1861-6410},
	doi = {10.1007/s11548-013-0937-0},
	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.},
	language = {eng},
	number = {3},
	journal = {International journal of computer assisted radiology and surgery},
	author = {Hansen, Christian and Zidowitz, Stephan and Preim, Bernhard and Stavrou, Gregor and Oldhafer, Karl J. and Hahn, Horst K.},
	month = may,
	year = {2014},
	pmid = {24122443},
	keywords = {Adult, Colorectal Neoplasms/diagnostic imaging/*secondary/surgery, Computer-Assisted/*methods, Female, Hepatectomy/*methods, Humans, Liver Neoplasms/*diagnostic imaging/secondary/surgery, Male, Risk Assessment/*methods, Surgery, Tomography, X-Ray Computed/*methods},
	pages = {473--480}
}