Spine Surgical Robotics: Current Status and Recent Clinical Applications

Wang, Jiangtao; Miao, Junxian; Zhan, Yi; Duan, Yongchao; Wang, Yuanshun; Hao, Dingjun; Wang, Biao

doi:10.14245/ns.2346610.305

Cited by 3 publications

(1 citation statement)

References 104 publications

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“…Kantelhardt et al ( 27) first reported an accurate placement rate of 94.5% for robot-guided pedicle screw placement compared with a 91.4% accuracy rate for traditional screw placement. Several subsequent studies have also demonstrated that robot-assisted screw placement is superior in accuracy to traditional methods and results in less tissue damage during surgery, thus providing a better prognosis for patients (28)(29)(30)(31)(32). Moreover, undoubtedly, the future of spinal robotics should not be limited to assisting surgeons in pedicle screw placement alone.…”

Section: Discussionmentioning

confidence: 99%

Development of a software system for surgical robots based on multimodal image fusion: study protocol

Yuan,

Chen,

Zang

et al. 2024

Front. Surg.

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BackgroundSurgical robots are gaining increasing popularity because of their capability to improve the precision of pedicle screw placement. However, current surgical robots rely on unimodal computed tomography (CT) images as baseline images, limiting their visualization to vertebral bone structures and excluding soft tissue structures such as intervertebral discs and nerves. This inherent limitation significantly restricts the applicability of surgical robots. To address this issue and further enhance the safety and accuracy of robot-assisted pedicle screw placement, this study will develop a software system for surgical robots based on multimodal image fusion. Such a system can extend the application range of surgical robots, such as surgical channel establishment, nerve decompression, and other related operations.MethodsInitially, imaging data of the patients included in the study are collected. Professional workstations are employed to establish, train, validate, and optimize algorithms for vertebral bone segmentation in CT and magnetic resonance (MR) images, intervertebral disc segmentation in MR images, nerve segmentation in MR images, and registration fusion of CT and MR images. Subsequently, a spine application model containing independent modules for vertebrae, intervertebral discs, and nerves is constructed, and a software system for surgical robots based on multimodal image fusion is designed. Finally, the software system is clinically validated.DiscussionWe will develop a software system based on multimodal image fusion for surgical robots, which can be applied to surgical access establishment, nerve decompression, and other operations not only for robot-assisted nail placement. The development of this software system is important. First, it can improve the accuracy of pedicle screw placement, percutaneous vertebroplasty, percutaneous kyphoplasty, and other surgeries. Second, it can reduce the number of fluoroscopies, shorten the operation time, and reduce surgical complications. In addition, it would be helpful to expand the application range of surgical robots by providing key imaging data for surgical robots to realize surgical channel establishment, nerve decompression, and other operations.

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Section: Discussionmentioning

confidence: 99%

Development of a software system for surgical robots based on multimodal image fusion: study protocol

Yuan,

Chen,

Zang

et al. 2024

Front. Surg.

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Evaluating the Status and Promising Potential of Robotic Spinal Surgery Systems

Li,

Chen,

Wang

et al. 2024

Orthopaedic Surgery

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The increasing frequency of cervical and lumbar spine disorders, driven by aging and evolving lifestyles, has led to a rise in spinal surgeries using pedicle screws. Robotic spinal surgery systems have emerged as a promising innovation, offering enhanced accuracy in screw placement and improved surgical outcomes. We focused on literature of this field from the past 5 years, and a comprehensive literature search was performed using PubMed and Google Scholar. Robotic spinal surgery systems have significantly impacted spinal procedures by improving pedicle screw placement accuracy and supporting various techniques. These systems facilitate personalized, minimally invasive, and low‐radiation interventions, leading to greater precision, reduced patient risk, and decreased radiation exposure. Despite advantages, challenges such as high costs and a steep learning curve remain. Ongoing advancements are expected to further enhance these systems' role in spinal surgery.

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Robot-Assisted Spine Surgery: The Pearls and Pitfalls

Lee,

Lombardi,

Qureshi

et al. 2024

J Am Acad Orthop Surg

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Robot-assisted spine surgery has gained notable popularity among surgeons because of recent advancements in technology. These innovations provide several key benefits, including high screw accuracy rates, reduced radiation exposure, customized preoperative and intraoperative planning options, and improved ergonomics for surgeons. Despite the promising outcomes reported in literature, potential technical challenges remain across various robotic platforms. It is crucial for surgeons to remember that robotic platforms are shared-control systems, requiring the surgeon to maintain primary control throughout the procedure. To ensure patient safety, surgeons should be well versed in common technical pitfalls and strategies to mitigate these limitations.

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Spine Surgical Robotics: Current Status and Recent Clinical Applications

Cited by 3 publications

References 104 publications

Development of a software system for surgical robots based on multimodal image fusion: study protocol

Development of a software system for surgical robots based on multimodal image fusion: study protocol

Evaluating the Status and Promising Potential of Robotic Spinal Surgery Systems

Robot-Assisted Spine Surgery: The Pearls and Pitfalls

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