This R01 project builds on a highly successful R21 project which involved the development and feasibility of a Minimally Invasive Neurosurgical Intracranial Robot (MINIR-I) using shape memory alloy (SMA) actuators as well as the evaluation of the device under continuous MRI for resection of an implanted ?metastatic tumor? in swine brain. While we achieved the specific aims of the R21 project, we also discovered new challenges, which are the basis for this R01 application. Brain tumors are among the most feared complications of cancer occurring in 20?40% of adult cancer patients. Despite numerous advances in treatment, the prognosis for these patients is poor, with a median survival of 4?8 months. Whether a primary (intrinsic) malignancy, or a secondary (metastatic) malignancy, involvement of the brain in a cancer patient is devastating, because it threatens the very personality and identity of the individual, and is invariably the most likely of all complications to directly and severely affect the quality of life. Currently, the optimal treatment for most brain tumors involves primary surgical resection to facilitate adjuvant therapies such as radiation and chemotherapy. Unfortunately, many patients cannot undergo primary surgical resection of their brain tumor due to unfavorable location of the lesion (usually deep or otherwise inaccessible to conventional neurosurgical techniques), and poor general health of the patient. To address this problem, based on the success of our R21 pilot project, and the lessons learned therein, we propose to develop a fully MRI-compatible MINIR-II and demonstrate the safety and efficacy of MINIR-II through comprehensive assessments on clinically relevant ex vivo and in vivo swine and followed by human cadaver models. As envisioned, MINIR-II will be under the direct control of the physician, with targeting information obtained exclusively from real-time MRI that uses active targeting methods with the sensors embedded within MINIR-II. To realize MINIR-II, we will address four specific aims: 1) Design a fully MRI compatible multiple degree-of-freedom (DOF) MINIR-II of rigid plastic body with cable driven joints, hollow inner core for routing cabling and electronics, irrigation and suction capability, and tumor removal capability, 2) Develop and characterize a multi-piece mold capable of molding geometrically complex robot links with miniature features to produce a completely disposable/single use MINIR-II prototype, 3) Develop a tracking and navigation system for MINIR-II that will allow visualization of proximal and distal structures for accurate targeting and resection of the tumor, and finally 4) the safety and efficacy of MINIR-II in gelatin phantoms and clinically relevant models of metastatic brain tumor including, a cadaveric pig model, a live pig model, and a human cadaver model. Our goal at the end of this project is to have MINIR-II (operated under continuous MRI) ready for clinical trials.

Public Health Relevance

Brain tumors are among the most feared complications of cancer occurring in 20?40% of adult cancer patients with a median survival of 4?8 months. Though primary surgical resection is the preferred approach, most patients cannot undergo this procedure due to an unfavorable location of the lesion and poor general health. Hence, the goal of this project is to develop fully MRI compatible MINIR-II based on the advances in the R21 pilot project for the development of MINIR-I, whereby MINIR-II will be made of a rigid plastic body with integrated hardware for tumor removal and will be operated under continuous MRI.

National Institute of Health (NIH)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Research Project (R01)
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Bioengineering of Neuroscience, Vision and Low Vision Technologies Study Section (BNVT)
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Krosnick, Steven
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Georgia Institute of Technology
Engineering (All Types)
Schools of Engineering
United States
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Wang, Xuefeng; Cheng, Shing Shin; Desai, Jaydev P (2018) Design, Analysis, and Evaluation of a Remotely Actuated MRI-Compatible Neurosurgical Robot. IEEE Robot Autom Lett 3:2144-2151
Kim, Yeongjin; Cheng, Shing Shin; Desai, Jaydev P (2018) Active Stiffness Tuning of a Spring-based Continuum Robot for MRI-Guided Neurosurgery. IEEE Trans Robot 34:18-28
Cheng, Shing Shin; Kim, Yeongjin; Desai, Jaydev P (2017) New Actuation Mechanism for Actively Cooled SMA Springs in a Neurosurgical Robot. IEEE Trans Robot 33:986-993
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Kim, Yeongjin; Cheng, Shing Shin; Diakite, Mahamadou et al. (2017) Toward the Development of a Flexible Mesoscale MRI-compatible Neurosurgical Continuum Robot. IEEE Trans Robot 33:1386-1397
Ho, Mingyen; Kim, Yeongjin; Cheng, Shing Shin et al. (2015) Design, development, and evaluation of an MRI-guided SMA spring-actuated neurosurgical robot. Int J Rob Res 34:1147-1163