Kotheeranurak Vit, Liawrungrueang Wongthawat, Quillo-Olvera Javier, Siepe Christoph J, Li Zhen Zhou, Lokhande Pramod V, Choi Gun, Ahn Yong, Chen Chien-Min, Choi Kyung-Chul, Van Isseldyk Facundo, Hagel Vincent, Koichi Sairyo, Hofstetter Christoph P, Del Curto David, Zhou Yue, Bolai Chen, Bae Jun Seok, Assous Muhammed, Lin Guang-Xun, Jitpakdee Khanathip, Liu Yanting, Kim Jin-Sung
Department of Orthopedics, Faculty of Medicine, Chulalongkorn University, and King Chulalongkorn Memorial Hospital, Bangkok, Thailand.
Center of Excellence in Biomechanics and Innovative Spine Surgery, Chulalongkorn University, Bangkok, Thailand.
Spine (Phila Pa 1976). 2023 Apr 15;48(8):534-544. doi: 10.1097/BRS.0000000000004589. Epub 2023 Feb 6.
A systematic review of the literature to develop an algorithm formulated by key opinion leaders.
This study aimed to analyze currently available data and propose a decision-making algorithm for full-endoscopic lumbar discectomy for treating lumbar disc herniation (LDH) to help surgeons choose the most appropriate approach [transforaminal endoscopic lumbar discectomy (TELD) or interlaminar endoscopic lumbar discectomy (IELD)] for patients.
Full-endoscopic discectomy has gained popularity in recent decades. To our knowledge, an algorithm for choosing the proper surgical approach has never been proposed.
A systematic review of the literature using PubMed and MeSH terms was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Patient samples included patients with LDH treated with full-endoscopic discectomy. The inclusion criteria were interventional research (randomized and nonrandomized trials) and observation research (cohort, case-control, case series). Exclusion criteria were case series and technical reports. The criteria used for selecting patients were grouped and analyzed. Then, an algorithm was generated based on these findings with support and reconfirmation from key expert opinions. Data on overall complications were collected. Outcome measures included zone of herniation, level of herniation, and approach (TELD or IELD).
In total, 474 articles met the initial screening criteria. The detailed analysis identified the 80 best-matching articles; after applying the inclusion and exclusion criteria, 53 articles remained for this review.
The proposed algorithm suggests a TELD for LDH located in the foraminal or extraforaminal zones at upper and lower levels and for central and subarticular discs at the upper levels considering the anatomic foraminal features and the craniocaudal pathology location. An IELD is preferred for LDH in the central or subarticular zones at L4/L5 and L5/S1, especially if a high iliac crest or high-grade migration is found.
对文献进行系统综述,以制定由关键意见领袖制定的算法。
本研究旨在分析现有数据,并提出一种用于全内镜下腰椎间盘切除术治疗腰椎间盘突出症(LDH)的决策算法,以帮助外科医生为患者选择最合适的手术方式[经椎间孔内镜下腰椎间盘切除术(TELD)或椎板间内镜下腰椎间盘切除术(IELD)]。
近几十年来,全内镜下椎间盘切除术越来越受欢迎。据我们所知,从未有人提出过选择合适手术方式的算法。
根据系统评价和Meta分析的首选报告项目指南,使用PubMed和医学主题词对文献进行系统综述。患者样本包括接受全内镜下椎间盘切除术治疗的LDH患者。纳入标准为干预性研究(随机和非随机试验)和观察性研究(队列研究、病例对照研究、病例系列研究)。排除标准为病例系列研究和技术报告。对选择患者的标准进行分组和分析。然后,基于这些发现并在关键专家意见的支持和重新确认下生成一种算法。收集总体并发症的数据。结局指标包括突出区域、突出节段和手术方式(TELD或IELD)。
共有474篇文章符合初始筛选标准。详细分析确定了80篇最匹配的文章;应用纳入和排除标准后,本综述保留了53篇文章。
考虑到椎间孔的解剖特征和头尾方向的病变位置,所提出的算法建议对于位于上下节段椎间孔或椎间孔外区域以及上节段中央和关节下椎间盘的LDH采用TELD。对于L4/L5和L5/S1节段中央或关节下区域的LDH,尤其是发现髂嵴高位或高级别移位时,首选IELD。