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Hersh AM, Davidar DA, Theodore N. Letter: What is the Marginal Cost of Using Robot Assistance or Navigation for Transforaminal Lumbar Interbody Fusion? A Time-Driven Activity-Based Cost Analysis. Neurosurgery 2024; 95:e83-e84. [PMID: 38920387 DOI: 10.1227/neu.0000000000003076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Accepted: 05/17/2024] [Indexed: 06/27/2024] Open
Affiliation(s)
- Andrew M Hersh
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore , Maryland , USA
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Menta AK, Weber-Levine C, Jiang K, Hersh AM, Davidar AD, Bhimreddy M, Ashayeri K, Sacino A, Chang L, Lubelski D, Theodore N. Robotic assisted surgery for the treatment of spinal metastases: A case series. Clin Neurol Neurosurg 2024; 243:108393. [PMID: 38917745 DOI: 10.1016/j.clineuro.2024.108393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 06/11/2024] [Accepted: 06/12/2024] [Indexed: 06/27/2024]
Abstract
OBJECTIVE Spinal metastases can significantly affect quality of life in patients with cancer and present complex neurosurgical challenges for surgeons. Surgery with instrumentation is often indicated to alleviate pain, preserve neurological function, and ensure mechanical stability. However, distortions in the bony anatomy due to oncological disease can decrease the accuracy of pedicle screw placement. Robotic-assisted surgery may offer an opportunity to increase screw accuracy and improve navigation of spinal lesions compared to conventional techniques. Therefore, we presented our institutional experience evaluating robotic-assisted surgical fixation for spinal metastases. METHODS Patients undergoing robotic-assisted surgery at a large tertiary care center between January 2019 - January 2023 for the treatment of spinal metastases were identified. Patient characteristics, including demographics, tumor pathology, surgical complications, and post-operative outcomes were extracted. The Gertzbein Robbins classification system (GRS) was used to assess pedicle screw placement accuracy in patients with post-operative computed tomography. RESULTS Twenty patients were identified, including 7 females (35 %), with an overall median age of 66 years (range: 39-80 years) and median BMI of 25 kg/m2 (range: 17-34 kg/m2). An average of four spinal levels were instrumented, with metastases located primarily in the thoracic (n=17, 85 %) spine. Common primary tumor types included prostate (n=4), lung (n=2), and plasma cell (n=2) cancers. Most pedicle screws (92 %) were classified as GRS A in patients with postoperative imaging. Post-operative complications were unrelated to the use of the robot, and included pulmonary embolism (n=1), deep vein thrombosis (n=2), and gastric symptoms (n=3). Three patients were readmitted at 30 days, with one reoperation due to tumor recurrence. Four patients were deceased within 6 months of surgery. CONCLUSIONS Despite the inherent high-risk nature of these surgeries, this study underscores the safety and efficacy of robotic-assisted surgery in the management of spinal metastases. Robots can be helpful in ensuring accuracy of pedicle screw placement in patients with metastatic disease.
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Affiliation(s)
- Arjun K Menta
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, USA
| | - Carly Weber-Levine
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, USA
| | - Kelly Jiang
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, USA
| | - Andrew M Hersh
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, USA
| | - A Daniel Davidar
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, USA
| | - Meghana Bhimreddy
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, USA
| | - Kimberly Ashayeri
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, USA
| | | | - Louis Chang
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, USA
| | - Daniel Lubelski
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, USA
| | - Nicholas Theodore
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, USA.
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Niemann B, Kenney C, Marsh JW, Schmidt C, Boone BA. Implementing a robotic hepatopancreatobiliary program for new faculty: safety, feasibility and lessons learned. J Robot Surg 2024; 18:253. [PMID: 38878073 DOI: 10.1007/s11701-024-02011-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Accepted: 06/06/2024] [Indexed: 06/25/2024]
Abstract
Robotic surgery is increasingly utilized in hepatopancreatobiliary (HPB) surgery, but the learning curve is a substantial obstacle hindering implementation. Comprehensive robotic training can help to surmount this obstacle; however, despite the expansion of robotic training into residency and fellowship programs, limited data are available about how this translates into successful incorporation in faculty practice. All operations performed during the first three years of practice of a surgical oncologist at a tertiary care academic institution were retrospectively reviewed. The surgeon underwent comprehensive robotic training during residency and fellowship. 137 HPB operations were performed during the initial three years of practice. Over 80% were performed robotically each year across a spectrum of HPB procedures with a 6% conversion rate. Median operative time, a metric for operative proficiency and evaluation for a learning curve, was similar throughout the study period for each major operation and below several reported optimized operative time benchmarks. The major complications, defined as a Clavien-Dindo of 3 or more, were similar across the experience and comparable to published series. Comprehensive robotic training in residency and fellowship as well as a dedicated, well-trained operative team allows for early attainment of optimized outcomes in a new HPB robotic practice.
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Affiliation(s)
- Britney Niemann
- Division of Surgical Oncology, Department of Surgery, West Virginia University, One Medical Center Drive, PO Box 9238 HSCS, Morgantown, WV, 26506, USA
| | - Christopher Kenney
- Division of Surgical Oncology, Department of Surgery, West Virginia University, One Medical Center Drive, PO Box 9238 HSCS, Morgantown, WV, 26506, USA
| | - J Wallis Marsh
- Division of Surgical Oncology, Department of Surgery, West Virginia University, One Medical Center Drive, PO Box 9238 HSCS, Morgantown, WV, 26506, USA
| | - Carl Schmidt
- Division of Surgical Oncology, Department of Surgery, West Virginia University, One Medical Center Drive, PO Box 9238 HSCS, Morgantown, WV, 26506, USA
| | - Brian A Boone
- Division of Surgical Oncology, Department of Surgery, West Virginia University, One Medical Center Drive, PO Box 9238 HSCS, Morgantown, WV, 26506, USA.
- Cancer Cell Biology, West Virginia University, Morgantown, WV, USA.
- Department of Microbiology, Immunology and Cell Biology, West Virginia University, Morgantown, WV, USA.
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Davidar AD, Jiang K, Weber-Levine C, Bhimreddy M, Theodore N. Advancements in Robotic-Assisted Spine Surgery. Neurosurg Clin N Am 2024; 35:263-272. [PMID: 38423742 DOI: 10.1016/j.nec.2023.11.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/02/2024]
Abstract
Applications and workflows around spinal robotics have evolved since these systems were first introduced in 2004. Initially approved for lumbar pedicle screw placement, the scope of robotics has expanded to instrumentation across different regions. Additionally, precise navigation can aid in tumor resection or spinal lesion ablation. Robot-assisted surgery can improve accuracy while decreasing radiation exposure, length of hospital stay, complication, and revision rates. Disadvantages include increased operative time, dependence on preoperative imaging among others. The future of robotic spine surgery includes automated surgery, telerobotic surgery, and the inclusion of machine learning or artificial intelligence in preoperative planning.
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Affiliation(s)
- A Daniel Davidar
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kelly Jiang
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Carly Weber-Levine
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Meghana Bhimreddy
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nicholas Theodore
- Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Orthopaedic Surgery & Biomedical Engineering, Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Vattipally VN, Jiang K, Weber-Levine C, Rosin R, Davidar AD, Hersh AM, Khalifeh J, Ahmed AK, Azad TD, Ashayeri K, Lubelski D, Mukherjee D, Huang J, Theodore N. Exoscope Use in Spine Surgery: A Systematic Review of Applications, Benefits, and Limitations. World Neurosurg 2024; 184:283-292.e3. [PMID: 38154686 DOI: 10.1016/j.wneu.2023.12.102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/18/2023] [Accepted: 12/18/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND Exoscopes were recently developed as an alternative to the operative microscope (OM) and endoscope for intraoperative visualization during neurosurgery. Prior reviews studying mixed cranial and spinal surgical cohorts reported advantages with exoscope use, including improved ergonomics and teaching. In recent years, there has been an increase in exoscope research, with no updated systematic review focused exclusively on the benefits and limitations of exoscope use in spine surgery. Thus, we sought to systematically synthesize the literature related to exoscope-assisted spine surgery. METHODS A literature search was conducted using the PubMed, Embase, Scopus, Cochrane, and Web of Science databases to identify relevant studies reported between 2010 and September 2023. Data, such as the exoscope model used, procedure types performed, and user observations, were then collected. RESULTS A total of 31 studies met our inclusion criteria, including 481 patients with spine pathologies who underwent a surgical procedure using 1 of 9 exoscope models. The lumbar region was the most frequently operated area (n = 234; 48.6%), and discectomies comprised the most overall procedures (n = 273; 56.8%). All patients benefited clinically. The reported advantages of exoscopes compared with OMs or endoscopes were improved focal distance, surgeon posture, trainee education, compactness, and assistant participation. Other aspects such as stereopsis, illumination, and cost had various observations. CONCLUSIONS Exoscopes have advantages compared with OMs or endoscopes during spine surgery. The user learning curve is minimal, and no negative patient outcomes have been reported. However, some aspects of exoscope use necessitate longer term prospective research before exoscopes can be considered a standard tool in the armamentarium of intraoperative visualization strategies.
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Affiliation(s)
- Vikas N Vattipally
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kelly Jiang
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Carly Weber-Levine
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Richard Rosin
- Department of Neurosurgery, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, USA
| | - A Daniel Davidar
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Andrew M Hersh
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jawad Khalifeh
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - A Karim Ahmed
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Tej D Azad
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Kimberly Ashayeri
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Daniel Lubelski
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Debraj Mukherjee
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Judy Huang
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Nicholas Theodore
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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Jiang K, Weber-Levine C, Theodore N. In Reply: Learning Curves for Robot-Assisted Pedicle Screw Placement: Analysis of Operative Time for 234 Cases. Oper Neurosurg (Hagerstown) 2024; 26:489. [PMID: 38330387 DOI: 10.1227/ons.0000000000001084] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 12/20/2023] [Indexed: 02/10/2024] Open
Affiliation(s)
- Kelly Jiang
- Department of Neurosurgery, The Johns Hopkins University School of Medicine, Baltimore , Maryland , USA
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Smith ZA, Muhammad F, Baaj AA. Letter: Learning Curves for Robot-Assisted Pedicle Screw Placement: Analysis of Operative Time for 234 Cases. Oper Neurosurg (Hagerstown) 2024; 26:487-488. [PMID: 38330376 DOI: 10.1227/ons.0000000000001083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 12/20/2023] [Indexed: 02/10/2024] Open
Affiliation(s)
- Zachary A Smith
- University of Oklahoma Health Sciences Center, Oklahoma City , Oklahoma , USA
| | - Fauziyya Muhammad
- University of Oklahoma Health Sciences Center, Oklahoma City , Oklahoma , USA
| | - Ali A Baaj
- Banner University Medical Center, University of Arizona, Phoenix , Arizona , USA
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