Augmented-reality integrated robotics in neurosurgery: are we there yet?

被引:59
作者
Madhavan, Karthik [1 ]
Kolcun, John Paul G. [1 ]
Chieng, Lee Onn [1 ]
Wang, Michael Y. [1 ]
机构
[1] Univ Miami, Miller Sch Med, Dept Neurol Surg, Miami, FL 33136 USA
关键词
robotics; augmented reality; virtual reality; Google Glass; Project Tango; spine; navigation; LUMBAR INTERBODY FUSION; VIRTUAL-REALITY; TECHNICAL-DEVELOPMENT; SIMULATION; SURGERY; SPINE; TECHNOLOGY; ANGIOGRAPHY; PERFORMANCE; CURRICULUM;
D O I
10.3171/2017.2.FOCUS177
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Surgical robots have captured the interest-if not the widespread acceptance-of spinal neurosurgeons. But successful innovation, scientific or commercial, requires the majority to adopt a new practice. "Faster, better, cheaper" products should in theory conquer the market, but often fail. The psychology of change is complex, and the "follow the leader" mentality, common in the field today, lends little trust to the process of disseminating new technology. Beyond product quality, timing has proven to be a key factor in the inception, design, and execution of new technologies. Although the first robotic surgery was performed in 1985, scant progress was seen until the era of minimally invasive surgery. This movement increased neurosurgeons' dependence on navigation and fluoroscopy, intensifying the drive for enhanced precision. Outside the field of medicine, various technology companies have made great progress in popularizing co-robots ("cobots"), augmented reality, and processor chips. This has helped to ease practicing surgeons into familiarity with and acceptance of these technologies. The adoption among neurosurgeons in training is a "follow the leader" phenomenon, wherein new surgeons tend to adopt the technology used during residency. In neurosurgery today, robots are limited to computers functioning between the surgeon and patient. Their functions are confined to establishing a trajectory for navigation, with task execution solely in the surgeon's hands. In this review, the authors discuss significant untapped technologies waiting to be used for more meaningful applications. They explore the history and current manifestations of various modern technologies, and project what innovations may lie ahead.
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页数:9
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共 63 条
  • [1] Virtual Reality Cerebral Aneurysm Clipping Simulation With Real-Time Haptic Feedback
    Alaraj, Ali
    Luciano, Cristian J.
    Bailey, Daniel P.
    Elsenousi, Abdussalam
    Roitberg, Ben Z.
    Bernardo, Antonio
    Banerjee, P. Pat
    Charbel, Fady T.
    [J]. OPERATIVE NEUROSURGERY, 2015, 11 (01) : 52 - 58
  • [2] Adverse Events in Robotic Surgery: A Retrospective Study of 14 Years of FDA Data
    Alemzadeh, Homa
    Raman, Jaishankar
    Leveson, Nancy
    Kalbarczyk, Zbigniew
    Iyer, Ravishankar K.
    [J]. PLOS ONE, 2016, 11 (04):
  • [3] [Anonymous], 2017, CANCER DISCOV, V7, P6, DOI DOI 10.15829/1560-4071-2017-6-7-85
  • [4] [Anonymous], 2003, FLORIDA TIMES U 1217
  • [5] Innovations in surgery simulation: a review of past, current and future techniques
    Badash, Ido
    Burtt, Karen
    Solorzano, Carlos A.
    Carey, Joseph N.
    [J]. ANNALS OF TRANSLATIONAL MEDICINE, 2016, 4 (23)
  • [6] The da Vinci Robotic Surgical Assisted Anterior Lumbar Interbody Fusion Technical Development and Case Report
    Beutler, William J.
    Peppelman, Walter C., Jr.
    DiMarco, Luciano A.
    [J]. SPINE, 2013, 38 (04) : 356 - 363
  • [7] Robot Assisted Stereotactic Laser Ablation for a Radiosurgery Resistant Hypothalamic Hamartoma
    Brandmeir, Nicholas
    Acharya, Vinita
    Sather, Michael
    [J]. CUREUS JOURNAL OF MEDICAL SCIENCE, 2016, 8 (04)
  • [8] Stereotactic robot-assisted MRI-guided laser thermal ablation of radiation necrosis in the posterior cranial fossa: technical note
    Chan, Alvin Y.
    Tran, Diem Kieu T.
    Gill, Amandip S.
    Hsu, Frank P. K.
    Vadera, Sumeet
    [J]. NEUROSURGICAL FOCUS, 2016, 41 (04)
  • [9] Minimally invasive transforaminal lumbar interbody fusion with the ROSATM Spine robot and intraoperative flat-panel CT guidance
    Chenin, Louis
    Peltier, Johann
    Lefranc, Michel
    [J]. ACTA NEUROCHIRURGICA, 2016, 158 (06) : 1125 - 1128
  • [10] An Approach to EVAR Simulation Using Patient Specific Modeling
    Davis, Gavin R.
    Illig, Karl A.
    Yang, George
    Thu-Hoai Nguyen
    Shames, Murray L.
    [J]. ANNALS OF VASCULAR SURGERY, 2014, 28 (07) : 1769 - 1774