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. 2021 Dec 17:2021:7245566.
doi: 10.1155/2021/7245566. eCollection 2021.

Deep Learning-Based Cervical Spine Posterior Percutaneous Endoscopic Disc Nucleus Resection for the Treatment of Cervical Spondylotic Radiculopathy

Yang Zhang  1 , Hengjie Zhu  1 , Zheng Zhou  1 , Yinming Sun  1 , Xiang Shen  1 , Jixiang Wu  1 , Chengcun Li  1
Affiliations

Deep Learning-Based Cervical Spine Posterior Percutaneous Endoscopic Disc Nucleus Resection for the Treatment of Cervical Spondylotic Radiculopathy

Yang Zhang et al. J Healthc Eng. .

Retraction in

Abstract

In the past 10 years, the technology of percutaneous spine endoscopy has been continuously developed. The indications have expanded from simple lumbar disc herniation to various degenerative diseases of the cervical, thoracic, and lumbar spine. Traditional surgery for the treatment of cervical radiculopathy includes anterior cervical decompression surgery, anterior cervical decompression plus fusion surgery, and posterior limited fenestration surgery. This article mainly studies the treatment of cervical spondylosis caused by radiculopathy caused by the nucleus resection of the posterior cervical spine percutaneous spinal endoscopy based on deep learning. In the PPECD group, the height of the intervertebral cavity was measured before the operation and during the final follow-up, and the height change of the intervertebral cavity was evaluated. The relative angle and relative displacement of the sagittal plane of the operation segment in the PPECD group were measured, and the stability was evaluated. Using the cervical spine X-ray Kelvin degeneration evaluation criteria, before and during the final follow-up operation, the degeneration of the adjacent segments of the two groups was evaluated. A retrospective analysis of 26 cases of cervical radiculopathy that met the criteria for diagnosis, inclusion, and exclusion was reviewed. Among them, 11 cases were treated with PPECD surgery; 15 cases were treated with ACDF surgery. According to the evaluation method of Odom, the excellent rate and the good rate of the two groups were compared. According to the location of the lesion, the nerve detection or dull tip device is exposed under the armpit or shoulder of the nerve root, and the protruding nucleus pulposus tissue is explored and removed, and annulus fibrosus is performed as needed. After hemostasis was detected, the surgical instruments were removed and the surgical incision was completely sutured. Before the operation and 3 months after the operation, the final follow-up made no significant difference in the overall average height of the intervertebral cavity (F = 2.586, P > 0.05). The results show that posterior foramen expansion is an effective surgical method for the treatment of cervical spondylotic radiculopathy, but surgical adaptation requires strict management. In order to achieve satisfactory results, appropriate cases must be selected.

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Conflict of interest statement

The author states that this article has no conflicts of interest.

Figures

Figure 1
Figure 1
Deep learning algorithm flow.
Figure 2
Figure 2
Cervical spine image processing.
Figure 3
Figure 3
Model test results.
Figure 4
Figure 4
Dimensional performance comparison between word embedding and BiLSTM.
Figure 5
Figure 5
Trend of stress distribution.
Figure 6
Figure 6
Surface location of nerve block.
Figure 7
Figure 7
VAS score of wound pain.
Figure 8
Figure 8
Image data of a typical situation.
Figure 9
Figure 9
The height of the intervertebral space and the curvature of the cervical spine.
Figure 10
Figure 10
Motion segment degree.
See this image and copyright information in PMC

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