Computers and Neurosurgery

Shaikhouni, Ammar; Elder, J. Bradley

doi:10.1016/j.wneu.2012.08.020

Cited by 5 publications

(5 citation statements)

References 22 publications

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“…The traditional means to prepare for surgery is limited since it relies heavily on the surgeon's spatial imagination, practical clinical experience, and understanding of the patient's condition. 47 For tumors located at the base of the skull or close to the grey-white matter junction, a precise understanding of the anatomy is a prerequisite to perform surgery safely and successfully. Shen Z et al (2020) propose using a 3D printed model of the skull to understand better the anatomy of the skull base in preparation for endoscopic endonasal transsphenoidal pituitary surgery.…”

Section: Surgical Planningmentioning

confidence: 99%

“…Shen Z et al (2020) propose using a 3D printed model of the skull to understand better the anatomy of the skull base in preparation for endoscopic endonasal transsphenoidal pituitary surgery. 47 Different researchers have utilized AI to better delineate the individual patient's anatomy for preoperatively preparing the surgeon as to what to expect during surgical navigation. They have found it to be especially useful in skull base surgery, transsphenoidal pituitary surgery, or malignant tumor resection.…”

Section: Surgical Planningmentioning

confidence: 99%

“…Using various algorithms and scores, many authors have devised means to predict early, late postoperative survival for patients with cerebrospinal tumors. 21,23,34,47,52 Pertinent points of AI identified in our analysis have been tabulated into pre-operative, intra-operative and post-operative applications for better visualization and can be seen in Table 3.…”

Section: Summary Of the Contentmentioning

confidence: 99%

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Neurosurgical Management of Cerebrospinal Tumors in the Era of Artificial Intelligence : A Scoping Review

Agadi¹,

Dominari²,

Tebha³

et al. 2023

J Korean Neurosurg Soc

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Central nervous system (CNS) tumors are identified as tumors of the brain and spinal cord. The associated morbidity and mortality of cerebrospinal tumors are disproportionately high compared to other malignancies. While minimally invasive techniques have initiated a revolution in neurosurgery, artificial intelligence (AI) is expediting it. Our study aims to analyze AI's role in the neurosurgical management of cerebrospinal tumors. We conducted a scoping review using the Arksey and O'Malley framework. Upon screening, data extraction and analysis were focused on exploring all potential implications of AI, classification of these implications in the management of cerebrospinal tumors. AI has enhanced the precision of diagnosis of these tumors, enables surgeons to excise the tumor margins completely, thereby reducing the risk of recurrence, and helps to make a more accurate prediction of the patient's prognosis than the conventional methods. AI also offers real-time training to neurosurgeons using virtual and 3D simulation, thereby increasing their confidence and skills during procedures. In addition, robotics is integrated into neurosurgery and identified to increase patient outcomes by making surgery less invasive.Artificial intelligence, including machine learning, is rigorously considered for its applications in the neurosurgical management of cerebrospinal tumors. This field requires further research focused on areas clinically essential in improving the outcome that is also economically feasible for clinical use. The authors suggest that data analysts and neurosurgeons collaborate to explore the full potential of AI.

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Section: Surgical Planningmentioning

confidence: 99%

Section: Surgical Planningmentioning

confidence: 99%

Section: Summary Of the Contentmentioning

confidence: 99%

See 1 more Smart Citation

Neurosurgical Management of Cerebrospinal Tumors in the Era of Artificial Intelligence : A Scoping Review

Agadi¹,

Dominari²,

Tebha³

et al. 2023

J Korean Neurosurg Soc

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“…That is why the injuries that affect these structures have huge physical, psychic and social repercussions [33]. This situation has led to studies of the most common neurological pathologies [34] in many countries, which has helped to improve neurosurgery planning protocols as well as the care of and intervention in patients suffering from these conditions [35].…”

Section: Neurosurgerymentioning

confidence: 99%

“…In [86], Broggi, a neurosurgeon and professor at Carlo Besta Neurological Institute in Milan, Italy-based on his years of experience with a variety of approaches to understand and treat the human brainbelieves that the future of neurosurgery in the short and medium-term is the validation of and experimentation with new assistance technologies that support current neurosurgical procedures and make use of robotics and virtual reality. Likewise, the trend of technological progress points towards the development of miniaturized, cost-effective and more intuitive robotic solutions, [3] and [35]. In the future of neurosurgery, with possible advances, hypothetical approaches could be planned to ensure minimal invasion during medical procedures that take into account the restriction of movements and optimization of brain shift effects [67], [69] and [73].…”

Section: Perspectives In Neurosurgery Taking Into Account Robotics Anmentioning

confidence: 99%

Neurosurgery and brain shift: review of the state of the art and main contributions of robotics

Correa-Arana

Vivas-Albán

Navarro

2017

TecnoL.

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This paper presents a review about neurosurgery, robotic assistants in this type of procedure, and the approach to the problem of brain tissue displacement, including techniques for obtaining medical images. It is especially focused on the phenomenon of brain displacement, commonly known as brain shift, which causes a loss of reference between the preoperative images and the volumes to be treated during image-guided surgery. Hypothetically, with brain shift prediction and correction for the neuronavigation system, minimal invasion trajectories could be planned and shortened. This would reduce damage to functional tissues and possibly lower the morbidity and mortality in delicate and demanding medical procedures such as the removal of a brain tumor. This paper also mentions other issues associated with neurosurgery and shows the way robotized systems have helped solve these problems. Finally, it highlights the future perspectives of neurosurgery, a branch of medicine that seeks to treat the ailments of the main organ of the human body from the perspective of many disciplines.

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Current state-of-the-art and future perspectives of robotic technology in neurosurgery

Mattei¹,

Rodriguez

Sambhara

et al. 2014

Neurosurg Rev

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Neurosurgery is one of the most demanding surgical specialties in terms of precision requirements and surgical field limitations. Recent advancements in robotic technology have generated the possibility of incorporating advanced technological tools to the neurosurgical operating room. Although previous studies have addressed the specific details of new robotic systems, there is very little literature on the strengths and drawbacks of past attempts, currently available platforms and prototypes in development. In this review, the authors present a critical historical analysis of the development of robotic technology in neurosurgery as well as a comprehensive summary of the currently available systems that can be expected to be incorporated to the neurosurgical armamentarium in the near future. Finally, the authors present a critical analysis of the main technical challenges in robotic technology development at the present time (such as the design of improved systems for haptic feedback and the necessity of incorporating intraoperative imaging data) as well as the benefits which robotic technology is expected to bring to specific neurosurgical subspecialties in the near future.

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Computers and Neurosurgery

Cited by 5 publications

References 22 publications

Neurosurgical Management of Cerebrospinal Tumors in the Era of Artificial Intelligence : A Scoping Review

Neurosurgical Management of Cerebrospinal Tumors in the Era of Artificial Intelligence : A Scoping Review

Neurosurgery and brain shift: review of the state of the art and main contributions of robotics

Current state-of-the-art and future perspectives of robotic technology in neurosurgery

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