Navigating Deep Brain Stimulation Targets: A Three-Dimensional Video Guide for Movement Disorders

被引:0
|
作者
Sevgi, Umut Tan [1 ]
Erol, Gokberk [2 ]
Dogruel, Yucel [3 ]
Sonmez, Osman Fikret [3 ]
Middlebrooks, Erik H. [4 ]
Gungor, Abuzer [5 ]
机构
[1] Izmir City Hosp, Dept Neurosurg, Izmir, Turkiye
[2] Elmadag Dr Hulusi Alatas State Hosp, Dept Neurosurg, Ankara, Turkiye
[3] Tepecik Training & Res Hosp, Dept Neurosurg, Izmir, Turkiye
[4] Mayo Clin, Dept Radiol, Jacksonville, FL USA
[5] Istinye Univ, Fac Med, Dept Neurosurg, Istanbul, Turkiye
关键词
Augmented reality; Deep brain stimulation; Photogrammetry; Three-dimensional anatomy; White matter;
D O I
10.1016/j.wneu.2024.09.076
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Deep brain stimulation (DBS) is a well-established treatment for motor circuit disorders such as Parkinson disease, dystonia, and essential tremor, particularly when pharmacological interventions are insufficient.1-3 1-3 The increase in DBS-related publications and the growing number of patients receiving DBS highlight the acceptance and refinement of the procedure.3,4 3,4 Despite its widespread use, comprehensive anatomical knowledge of deep brain nuclei remains critical for enhancing clinical efficacy. Accurate targeting of the complex three-dimensional anatomy of the target nuclei is crucial for maximizing therapeutic effects and minimizing adverse side effects. However, existing anatomical guides often lack depth perception.5,6 5,6 We dissected specimens prepared using the Klingler method,7 7 proceeding sequentially from lateral to medial, medial to lateral, and superior to inferior. We then generated a video guide for three-dimensional models of the DBS target nuclei at each stage using the photogrammetry method (Video 1). Our models were evaluated via augmented reality within a real- world context, and radiological models of these nuclei generated through segmentation were analyzed. Thus, our models and videos offer a novel method for visualizing the complex anatomy of deep brain nuclei, which could help enhance the precision of DBS procedures and may improve patient outcomes. This advanced understanding of spatial anatomical relationships may be beneficial for the continued development and success of DBS therapy.
引用
收藏
页码:126 / 126
页数:1
相关论文
共 50 条
  • [1] Novel targets in deep brain stimulation for movement disorders
    Baumgartner, Alexander J.
    Thompson, John A.
    Kern, Drew S.
    Ojemann, Steven G.
    NEUROSURGICAL REVIEW, 2022, 45 (04) : 2593 - 2613
  • [2] Mechanisms and targets of deep brain stimulation in movement disorders
    Johnson, Matthew D.
    Miocinovic, Svjetlana
    McIntyre, Cameron C.
    Vitek, Jerrold L.
    NEUROTHERAPEUTICS, 2008, 5 (02) : 294 - 308
  • [3] Individualization of deep brain stimulation targets for movement disorders
    Josué M. Avecillas-Chasin
    Acta Neurochirurgica, 2015, 157 : 1795 - 1797
  • [4] Individualization of deep brain stimulation targets for movement disorders
    Avecillas-Chasin, Josue M.
    ACTA NEUROCHIRURGICA, 2015, 157 (10) : 1795 - 1797
  • [5] Novel targets in deep brain stimulation for movement disorders
    Alexander J. Baumgartner
    John A. Thompson
    Drew S. Kern
    Steven G. Ojemann
    Neurosurgical Review, 2022, 45 : 2593 - 2613
  • [6] Mechanisms and targets of deep brain stimulation in movement disorders
    Matthew D. Johnson
    Svjetlana Miocinovic
    Cameron C. McIntyre
    Jerrold L. Vitek
    Neurotherapeutics, 2008, 5 : 294 - 308
  • [7] Letter of response to "Individualization of deep brain stimulation targets for movement disorders"
    Anthofer, Judith
    Lange, Max
    Brawanski, Alexander
    Schlaier, Juergen
    ACTA NEUROCHIRURGICA, 2015, 157 (10) : 1799 - 1800
  • [8] Letter of response to “Individualization of deep brain stimulation targets for movement disorders”
    Judith Anthofer
    Max Lange
    Alexander Brawanski
    Juergen Schlaier
    Acta Neurochirurgica, 2015, 157 : 1799 - 1800
  • [9] Deep Brain Stimulation in Nonparkinsonian Movement Disorders and Emerging Technologies, Targets, and Therapeutic Promises in Deep Brain Stimulation
    Anderson, Douglas
    Kartha, Ninith
    NEUROLOGIC CLINICS, 2013, 31 (03) : 809 - +
  • [10] Automatic two-dimensional & three-dimensional video analysis with deep learning for movement disorders: A systematic review☆
    Tang, Wei
    van Ooijen, Peter M. A.
    Sival, Deborah A.
    Maurits, Natasha M.
    ARTIFICIAL INTELLIGENCE IN MEDICINE, 2024, 156