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Top 25 Most Cited Articles on Intraoperative Computer Tomography-Guided Navigation in Spine Surgery.
Palmer, Ryan; Ton, Andy; Robertson, Djani; Liu, Kevin G; Liu, John C; Wang, Jeffrey C; Hah, Raymond J; Alluri, Ram K.
Affiliation
  • Palmer R; Department of Orthopaedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, California, USA.
  • Ton A; Department of Orthopaedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, California, USA. Electronic address: andyton@usc.edu.
  • Robertson D; Department of Orthopedic Surgery, NYU Langone Health, New York, New York, USA.
  • Liu KG; Department of Orthopaedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, California, USA.
  • Liu JC; Department of Neurological Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, California, USA.
  • Wang JC; Department of Neurological Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, California, USA.
  • Hah RJ; Department of Orthopaedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, California, USA.
  • Alluri RK; Department of Orthopaedic Surgery, Keck School of Medicine at The University of Southern California, Los Angeles, California, USA.
World Neurosurg ; 184: 322-330.e1, 2024 04.
Article in En | MEDLINE | ID: mdl-38342177
ABSTRACT

BACKGROUND:

In recent years, the use of intraoperative computer tomography-guided (CT-guided) navigation has gained significant popularity among health care providers who perform minimally invasive spine surgery. This review aims to identify and analyze trends in the literature related to the widespread adoption of CT-guided navigation in spine surgery, emphasizing the shift from conventional fluoroscopy-based techniques to CT-guided navigation.

METHODS:

Articles pertaining to this study were identified via a database review and were hierarchically organized based on the number of citations. An "advanced document search" was performed on September 28th, 2022, utilizing Boolean search operator terms. The 25 most referenced articles were combined into a primary list after sorting results in descending order based on the total number of citations.

RESULTS:

The "Top 25" list for intraoperative CT-guided navigation in spine surgery cumulatively received a total of 2742 citations, with an average of 12 new citations annually. The number of citations ranged from 246 for the most cited article to 60 for the 25th most cited article. The most cited article was a paper by Siewerdsen et al., with 246 total citations, averaging 15 new citations per year.

CONCLUSIONS:

Intraoperative CT-guided navigation is 1 of many technological advances that is used to increase surgical accuracy, and it has become an increasingly popular alternative to conventional fluoroscopy-based techniques. Given the increasing adoption of intraoperative CT-guided navigation in spine surgery, this review provides impactful evidence for its utility in spine surgery.
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Surgery, Computer-Assisted Limits: Humans Language: En Journal: World Neurosurg Journal subject: NEUROCIRURGIA Year: 2024 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Surgery, Computer-Assisted Limits: Humans Language: En Journal: World Neurosurg Journal subject: NEUROCIRURGIA Year: 2024 Document type: Article Affiliation country: Estados Unidos
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