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Huang Z, Meng L, Bi X, Xie Z, Liang W, Huang J. Efficacy and safety of robot-assisted deep brain stimulation for Parkinson's disease: a meta-analysis. Front Aging Neurosci 2024; 16:1419152. [PMID: 38882524 PMCID: PMC11176545 DOI: 10.3389/fnagi.2024.1419152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Accepted: 05/20/2024] [Indexed: 06/18/2024] Open
Abstract
Objective This meta-analysis aims to assess the effectiveness and safety of robot-assisted deep brain stimulation (DBS) surgery for Parkinson's disease(PD). Methods Four databases (Medline, Embase, Web of Science and CENTRAL) were searched from establishment of database to 23 March 2024, for articles studying robot-assisted DBS in patients diagnosed with PD. Meta-analyses of vector error, complication rate, levodopa-equivalent daily dose (LEDD), Unified Parkinson's Disease Rating Scale (UPDRS), UPDRS II, UPDRS III, and UPDRS IV were performed. Results A total of 15 studies were included in this meta-analysis, comprising 732 patients with PD who received robot-assisted DBS. The pooled results revealed that the vector error was measured at 1.09 mm (95% CI: 0.87 to 1.30) in patients with Parkinson's disease who received robot-assisted DBS. The complication rate was 0.12 (95% CI, 0.03 to 0.24). The reduction in LEDD was 422.31 mg (95% CI: 68.69 to 775.94). The improvement in UPDRS, UPDRS III, and UPDRS IV was 27.36 (95% CI: 8.57 to 46.15), 14.09 (95% CI: 4.67 to 23.52), and 3.54 (95% CI: -2.35 to 9.43), respectively. Conclusion Robot-assisted DBS is a reliable and safe approach for treating PD. Robot-assisted DBS provides enhanced accuracy in contrast to conventional frame-based stereotactic techniques. Nevertheless, further investigation is necessary to validate the advantages of robot-assisted DBS in terms of enhancing motor function and decreasing the need for antiparkinsonian medications, in comparison to traditional frame-based stereotactic techniques.Clinical trial registration: PROSPERO(CRD42024529976).
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Affiliation(s)
- Zhilong Huang
- The First Affiliated Hospital of Guangxi University of Science and Technology, Guangxi University of Science and Technology, Liuzhou, Guangxi, China
| | - Lian Meng
- The First Affiliated Hospital of Guangxi University of Science and Technology, Guangxi University of Science and Technology, Liuzhou, Guangxi, China
| | - Xiongjie Bi
- The First Affiliated Hospital of Guangxi University of Science and Technology, Guangxi University of Science and Technology, Liuzhou, Guangxi, China
| | - Zhengde Xie
- The First Affiliated Hospital of Guangxi University of Science and Technology, Guangxi University of Science and Technology, Liuzhou, Guangxi, China
| | - Weiming Liang
- The First Affiliated Hospital of Guangxi University of Science and Technology, Guangxi University of Science and Technology, Liuzhou, Guangxi, China
| | - Jinyu Huang
- The First Affiliated Hospital of Guangxi University of Science and Technology, Guangxi University of Science and Technology, Liuzhou, Guangxi, China
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Gelineau-Morel R, Kruer MC, Garris JF, Libdeh AA, Barbosa DAN, Coffman KA, Moon D, Barton C, Vera AZ, Bruce AB, Larsh T, Wu SW, Gilbert DL, O’Malley JA. Deep Brain Stimulation for Pediatric Dystonia: A Review of the Literature and Suggested Programming Algorithm. J Child Neurol 2022; 37:813-824. [PMID: 36053123 PMCID: PMC9912476 DOI: 10.1177/08830738221115248] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
Deep brain stimulation (DBS) is an established intervention for use in pediatric movement disorders, especially dystonia. Although multiple publications have provided guidelines for deep brain stimulation patient selection and programming in adults, there are no evidence-based or consensus statements published for pediatrics. The result is lack of standardized care and underutilization of this effective treatment. To this end, we assembled a focus group of 13 pediatric movement disorder specialists and 1 neurosurgeon experienced in pediatric deep brain stimulation to review recent literature and current practices and propose a standardized approach to candidate selection, implantation target site selection, and programming algorithms. For pediatric dystonia, we provide algorithms for (1) programming for initial session and follow-up sessions, and (2) troubleshooting side effects encountered during programming. We discuss common side effects, how they present, and recommendations for management. This topical review serves as a resource for movement disorders specialists interested in using deep brain stimulation for pediatric dystonia.
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Affiliation(s)
- Rose Gelineau-Morel
- Division of Neurology, Department of Pediatrics, Children’s Mercy Hospital, University of Missouri-Kansas City School of Medicine, 2401 Gillham Road, Kansas City, Missouri, 64108
| | - Michael C Kruer
- Pediatric Movement Disorders Program, Barrow Neurological Institute, Phoenix Children’s Hospital & University of Arizona College of Medicine - Phoenix, Phoenix, AZ, 85016
| | - Jordan F Garris
- Division of Pediatric Neurology, Department of Neurology, University of Virginia, PO Box 800394, Charlottesville, VA, 22908−0394
| | - Amal Abu Libdeh
- Division of Pediatric Neurology, Department of Neurology, University of Virginia, PO Box 800394, Charlottesville, VA, 22908−0394
| | - Daniel A N Barbosa
- Department of Neurosurgery, Stanford University School of Medicine, 300 Pasteur Drive, Edwards Bldg, Stanford, CA, 94305
| | - Keith A Coffman
- Division of Neurology, Department of Pediatrics, Children’s Mercy Hospital, University of Missouri-Kansas City School of Medicine, 2401 Gillham Road, Kansas City, Missouri, 64108
| | - David Moon
- Department of Child Neurology, Division of Neurosciences, Helen DeVos Children’s Hospital, 100 Michigan St NE, Grand Rapids, MI 49503
| | - Christopher Barton
- Department of Neurology, University of Louisville School of Medicine, Louisville, Kentucky; Division of Child Neurology, Norton Children’s Medical Group, 231 E Chestnut St, Louisville, KY 40202
| | - Alonso Zea Vera
- Department of Neurology, Children’s National Hospital, 111 Michigan Ave NW, Washington, DC, 20010
| | - Adrienne B Bruce
- Division of Pediatric Neurology, Department of Pediatrics, Prisma Health, 200 Patewood Drive A350, Greenville, SC, USA 29615; University of South Carolina School of Medicine Greenville, 607 Grove Road, Greenville, SC, 29605
| | - Travis Larsh
- Division of Neurology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati, 3333 Burnet Ave, Location E4, Suite 110, Cincinnati, OH 45229
| | - Steve W Wu
- Division of Neurology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati, 3333 Burnet Ave, Location E4, Suite 110, Cincinnati, OH 45229
| | - Donald L Gilbert
- Division of Neurology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati, 3333 Burnet Ave, Location E4, Suite 110, Cincinnati, OH 45229
| | - Jennifer A O’Malley
- Department of Neurology, Division of Child Neurology, Stanford University School of Medicine, 750 Welch Road, Suite 317, Palo Alto, California, 94304
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