naa a22 4500 510806929 CHVBK 20180411083422.0 cr unu---uuuuu 180411e20130101xx s 000 0 eng 10.1007/s11548-012-0693-6 doi (NATIONALLICENCE)springer-10.1007/s11548-012-0693-6 Toward a preoperative planning tool for brain tumor resection therapies [Elektronische Daten] [Aaron Coffey, Michael Miga, Ishita Chen, Reid Thompson] Background: Neurosurgical procedures involving tumor resection require surgical planning such that the surgical path to the tumor is determined to minimize the impact on healthy tissue and brain function. This work demonstrates a predictive tool to aid neurosurgeons in planning tumor resection therapies by finding an optimal model-selected patient orientation that minimizes lateral brain shift in the field of view. Such orientations may facilitate tumor access and removal, possibly reduce the need for retraction, and could minimize the impact of brain shift on image-guided procedures. Methods: In this study, preoperative magnetic resonance images were utilized in conjunction with pre- and post-resection laser range scans of the craniotomy and cortical surface to produce patient-specific finite element models of intraoperative shift for 6 cases. These cases were used to calibrate a model (i.e., provide general rules for the application of patient positioning parameters) as well as determine the current model-based framework predictive capabilities. Finally, an objective function is proposed that minimizes shift subject to patient position parameters. Patient positioning parameters were then optimized and compared to our neurosurgeon as a preliminary study. Results: The proposed model-driven brain shift minimization objective function suggests an overall reduction of brain shift by 23 % over experiential methods. Conclusions: This work recasts surgical simulation from a trial-and-error process to one where options are presented to the surgeon arising from an optimization of surgical goals. To our knowledge, this is the first realization of an evaluative tool for surgical planning that attempts to optimize surgical approach by means of shift minimization in this manner. CARS, 2012 Coffey Aaron Department of Biomedical Engineering, Vanderbilt University, Station B, P.O. 1631, 37235, Nashville, TN, USA aut Miga Michael Department of Biomedical Engineering, Vanderbilt University, Station B, P.O. 1631, 37235, Nashville, TN, USA aut Chen Ishita Department of Biomedical Engineering, Vanderbilt University, Station B, P.O. 1631, 37235, Nashville, TN, USA aut Thompson Reid Department of Neurological Surgery, Vanderbilt University Medical Center, T-4224MCN/VUMC, 37232 2380, Nashville, TN, USA aut International Journal of Computer Assisted Radiology and Surgery Springer-Verlag 8/1(2013-01-01), 87-97 1861-6410 8:1<87 2013 8 11548 https://doi.org/10.1007/s11548-012-0693-6 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11548-012-0693-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Coffey Aaron Department of Biomedical Engineering, Vanderbilt University, Station B, P.O. 1631, 37235, Nashville, TN, USA aut NATIONALLICENCE 700 1- Miga Michael Department of Biomedical Engineering, Vanderbilt University, Station B, P.O. 1631, 37235, Nashville, TN, USA aut NATIONALLICENCE 700 1- Chen Ishita Department of Biomedical Engineering, Vanderbilt University, Station B, P.O. 1631, 37235, Nashville, TN, USA aut NATIONALLICENCE 700 1- Thompson Reid Department of Neurological Surgery, Vanderbilt University Medical Center, T-4224MCN/VUMC, 37232 2380, Nashville, TN, USA aut NATIONALLICENCE 773 0- International Journal of Computer Assisted Radiology and Surgery Springer-Verlag 8/1(2013-01-01), 87-97 1861-6410 8:1<87 2013 8 11548 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer