2017-09, Shah, Ashesh, Coste, Jérôme, Lemaire, Jean-Jaques, Schkommodau, Erik, Taub, Ethan, Guzman, Raphael, Hemm-Ode, Simone

2016-09, Shah, Ashesh, Alonso, Fabiola, Lemaire, Jean-Jaques, Wardell, Karin, Pison, Daniela, Coste, Jérôme, Schkommodau, Erik, Hemm-Ode, Simone

2016-05, Rüegg, Jasmine, Böhringer, Stephan, Kessler, Anja, Schumacher, Ralf, Schkommodau, Erik, de Wild, Michael

2015, Pison, Daniela, Alonso, Fabiola, Wårdell, Karin, Shah, Ashesh, Coste, Jérôme, Lemaire, Jean-Jaques, Schkommodau, Erik, Hemm-Ode, Simone

2016-10, Böhringer, Stephan, Jürgens, Philipp, Schkommodau, Erik, Berlinghoff, Frank, Hemm-Ode, Simone

2016-09, Shah, Ashesh, Coste, Jérôme, Lemaire, Jean-Jaques, Taub, Ethan, Schüpbach, W.M. Michael, Pollo, Claudio, Guzman, Raphael, Wardell, Karin, Schkommodau, Erik, Hemm-Ode, Simone

2016, Shah, Ashesh, Alonso, Fabiola, Pison, Daniela, Lemaire, Jean-Jaques, Wårdell, Karin, Coste, Jérôme, Schkommodau, Erik, Hemm-Ode, Simone

2016-09-30, Coigny, Florian, Todor, Adrian, Rotaru, Horatiu, Schumacher, Ralf, Schkommodau, Erik

Patient-specific bone and joint replacement implants lead to better functional and aesthetic results than conventional methods [1], [2], [3]. But extracting 3D shape information from CT Data and designing individual implants is demanding and requires multiple surgeon-to-engineer interactions. For manufacturing purposes, Additive Manufacturing offers various advantages, especially for low volume manufacturing parts, such as patient specific implants. To ease these new approaches and to avoid surgeon-to-engineer interactions a new design software approach is needed which offers highly automated and user friendly planning steps.

2016-08, Shah, Ashesh, Alonso, Fabiola, Lemaire, Jean-Jaques, Pison, Daniela, Wardell, Karin, Coste, Jérôme, Schkommodau, Erik, Hemm-Ode, Simone

2016, Shah, Ashesh, Coste, Jérôme, Lemaire, Jean-Jaques, Taub, Ethan, Schüpbach, W.M. Michael, Pollo, Claudio, Schkommodau, Erik, Guzman, Raphael, Hemm-Ode, Simone

Deep brain stimulation (DBS) surgery is extensively used in the treatment of movement disorders. Nevertheless, methods to evaluate the clinical response during intraoperative stimulation tests to identify the optimal position for the implantation of the chronic DBS lead remain subjective. In this paper, we describe a new, versatile method for quantitative intraoperative evaluation of improvement in tremor with an acceleration sensor that is mounted on the patient’s wrist during surgery. At each anatomical test position, the improvement in tremor compared to the initial tremor is estimated on the basis of extracted outcome measures. This method was tested on 15 tremor patients undergoing DBS surgery in two centers. Data from 359 stimulation tests were acquired. Our results suggest that accelerometric evaluation detects tremor changes more sensitively than subjective visual ratings. The effective stimulation current amplitudes identified from the quantitative data (1.1 ± 0.8 mA) are lower than those identified by visual evaluation (1.7 ± 0.8 mA) for similar improvement in tremor. Additionally, if these data had been used to choose the chronic implant position of the DBS lead, 15 of the 26 choices would have been different. These results show that our method of accelerometric evaluation can potentially improve DBS targeting.