Application of Intraoperative O-Arm-Assisted Real-Time Navigation Technique for Spinal Fixation Article Swipe
YOU?
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· 2017
· Open Access
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· DOI: https://doi.org/10.18679/cn11-6030_r.2017.022
This study explored the combined use of the O-arm and real-time navigation during spinal fixation. The clinical data for 60 patients undergoing spinal fixation, at Beijing Tsinghua Chang Gung Hospital between May 5, 2015 and May 1, 2017, were retrospectively analyzed. Pre-, intra-, and postoperative imaging findings were assessed. The patients were classified into the occipitocervical fusion (32 cases) and thoracic/lumbar/sacral spine fixation (28 cases, including 6 cases of percutaneous pedicle screw) groups. Lesion resections were performed microscopically. An O-arm, combined with real-time navigation, was used to assess spinal fixation. Efficacy was evaluated using operative times, Xray times, screw positioning, and complications. Within the occipitocervical fusion group, 182 screws were placed in the cervical spine and 96 in the occipital bone. However, 6 screws penetrated the bone cortex and were adjacent to the vertebral arteries, based on O-arm three-dimensional imaging; therefore, the precision rate was 96.7%. Within the thoracic/lumbar/sacral spine fixation group, 148 pedicle screws were implanted, with 4 initially outside the vertebral body, yielding a precision rate of 97.3%. Ten percutaneous pedicle screws were implanted and well positioned. O-arm scans were performed 3 times/patient, with an average of 20–30 min/time. Screw implantation times were 5–7 min (cervical spine), 8–10 min (thoracic spine), and 6–8 min (lumbar spine). Intraoperative O-arm scans, combined with real-time navigation technology, allow real-time observation of screw angles and depths, improving the accuracy and safety of posterior screw fixations and reducing the radiation dose and frequency experienced by patients and surgeons.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18679/cn11-6030_r.2017.022
- https://journals.sagepub.com/doi/pdf/10.18679/CN11-6030_R.2017.022
- OA Status
- bronze
- Cited By
- 2
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4247655132
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4247655132Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.18679/cn11-6030_r.2017.022Digital Object Identifier
- Title
-
Application of Intraoperative O-Arm-Assisted Real-Time Navigation Technique for Spinal FixationWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-09-01Full publication date if available
- Authors
-
Zhenxing Sun, Dan Yuan, Yaxing Sun, Zhanquan Zhang, Guihuai Wang, Yi Guo, Guoqin Wang, Dongkang Liu, Peng Chen, Linkai Jing, Feng Yang, Peihai Zhang, Huifang Zhang, Youtu Wu, Shi Wei, James Z. WangList of authors in order
- Landing page
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https://doi.org/10.18679/cn11-6030_r.2017.022Publisher landing page
- PDF URL
-
https://journals.sagepub.com/doi/pdf/10.18679/CN11-6030_R.2017.022Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://journals.sagepub.com/doi/pdf/10.18679/CN11-6030_R.2017.022Direct OA link when available
- Concepts
-
Medicine, Percutaneous, Fixation (population genetics), Surgery, Lumbar, Radiology, Nuclear medicine, Population, Environmental healthTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2021: 1, 2020: 1Per-year citation counts (last 5 years)
- References (count)
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12Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| countries_distinct_count | 1 |
| institutions_distinct_count | 16 |
| corresponding_institution_ids | https://openalex.org/I4210153550, https://openalex.org/I99065089 |
| citation_normalized_percentile.value | 0.64669048 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |