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Predicting lumbar spondylolisthesis: A Hybrid Deep Learning Approach

Intelligent Automation & Soft Computing 2023年第8期37卷 2133-2151页

作者： Deepika Saravagi Shweta Agrawal Manisha Saravagi Sanjiv K.Jain Bhisham Sharma Abolfazl Mehbodniya Subrata Chowdhury Julian L.Webber Department of Computer Application SAGE UniversityIndore452012Madhya PradeshIndia IAC SAGE UniversityIndore452012Madhya PradeshIndia Shivang College of Physiotherapy Ratlam4570021Madhya PradeshIndia Medi-Caps University Rau IndoreMadhya Pradesh453331India Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia Department of Electronics and Communication Engineering Kuwait College of Science and Technology(KCST)DohaKuwait Department of Computer Science and Engineering Sreenivasa Institute of Technology and Management StudiesChittoorAndra PradeshIndia

spondylolisthesis is a chronic disease,and a timely diagnosis of it may help in avoiding *** identification in x-ray radiographs is very *** the feature extraction tool in VGG16 has improved the classification *** the fully connected layers of VGG16 are not efficient at capturing the positional structure of an object in *** network(CapsNet)works with capsules(neuron clusters)rather than a single neuron to grasp the properties of the provided image to match the *** this study,an integrated model that is a combination of VGG16 and CapsNet(S-VCNet)is *** the model,VGG16 is used as a feature *** feature extraction,the output is fed to CapsNet for disease identification.A private dataset is used that contains 466 X-ray radiographs,including 186 images displaying a spine with spondylolisthesis and 280 images depicting a normal *** suggested model is the first step towards developing a web-based radiological diagnosis tool that can be utilized in outpatient clinics where there are not enough qualified medical *** results demonstrate that the developed model outperformed the other models that are used for lumbar spondylolisthesis diagnosis with 98%*** the performance check,the model has been successfully deployed on the Gradio web app platform to produce the outcome in less than 20 s.

关键词： Gradio lumbar spondylolisthesis transfer learning VGG16 machine learning deep learning

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Treatment of Single Level lumbar spondylolisthesis with lumbar Interbody Fusion via Oblique Lateral Approach (OLIF)

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Surgical Science 2023年第1期14卷 46-54页

作者： Jinpeng Zheng Dun Liu Jing Shi Han Wu Ping Cao Bing Hu Department of Orthopedics Tianyou Hospital Affiliated to Wuhan University of Science & Technology Wuhan China

Objectives: To investigate the effect of lumbar interbody fusion via the oblique lateral approach (OLIF) in the treatment of single level lumbar spondylolisthesis. Methods: Retrospective analysis was made on 32 cases of single level lumbar spondylolisthesis treated by lumbar interbody fusion via the oblique lateral approach from July 2020 to July 2021. 14 males and 18 females;the age was (66.5 ± 11.5) years (55 - 82 years). 1) The operation time, intraoperative blood loss and complications were recorded;2) the scores of visual analog scale. VAS and Oswestry disability index (ODI) of low back pain and lower limb pain were collected before operation and at the last follow-up;by observing the imaging data, the height of the intervertebral space, the anterior convex angle of the intervertebral space, the anterior convex angle of the lumbar spine, the sagittal diameter of the dural sac and the spondylolisthesis were measured. Results: All patients successfully completed the operation, the average operation time was (103.9 ± 21.1) min, the average intraoperative bleeding volume was (72.3 ± 16.4) ml. There was no vascular injury during the operation, no infection occurred in all surgical incisions, and Class I/A healing was achieved. The VAS scores of low back pain and leg pain before operation and at the last follow-up were lower than those before operation, and the difference was statistically significant (P spondylolisthesis rate at the last follow-up was lower than that before operation, with a statistically significant difference (P < 0.05). Left thigh surface numbness occurred in 2 cases (6.3%) and dis

关键词： Oblique Lateral Approach lumbar Interbody Fusion Single Segment lumbar spondylolisthesis

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Long-Term Outcome of Dynesys Dynamic Stabilization for lumbar Spinal Stenosis

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Chinese Medical Journal 2018年第21期131卷 2537-2543页

作者： Yang Zhang Zhi-Cheng Zhang Fang Li Tian-Sheng Sun Jian-Lin Shan Kai Guan Guang-Min Zhao Li-Zhi Zhang Medical School of Chinese People's Liberation Army Beijing 100853 China Department of Orthopedics Army General Hospital of Chinese People's Liberation Army Beijing 100700 China

Background： Many clinical studies over the past decade have indicated positive outcomes for patients treated with Dynesys dynamic stabilization for lumbar degenerative disease. However, long-term outcomes of Dynesys for lumbar spinal stenosis are rarely reported. The aim of this study was to analyze the long-term clinical and radiologic outcomes for patients with lumbar spinal stenosis treated with Dynesys stabilization. Methods： Thirty-eight patients with lumbar spinal stenosis were treated with Dynesys stabilization from July 2008 to March 2010. The minimal duration of follow-up was 72 months. The patients were divided into stenosis and spondylolisthesis groups according to degenerative spondylolisthesis. Clinical outcomes were evaluated using the Oswestry Disability Index （ODI） and visual analog scale （VAS）. Radiographic evaluations included range of motion （ROM） and the disc heights of stabilized segments and the upper adjacent segments. We also evaluated the occurrence of radiographic and symptomatic adjacent segment degeneration （ASD）. Results： There were 23 patients in stenosis group and 15 patients in spondylolisthesis group. The ODl scores were significantly improved at the final follow-up evaluation, as compared to the baseline values （ 16.1± 5.7 vs. 57.2 ± 14.2, t = 61.4 l, P 〈 0.01 ）. The VA S scores for back and leg pain were significantly improved from 4.82 ±0.89 and 4.04 ± 0.82 preoperatively to 0.93± 0.61 and 0.54 ± 0.51 postoperatively （t = 6.59, P 〈 0.01, and t = 5.91, P 〈 0.01, respectively）. There were no differences between the two groups with respect to VAS and ODI scores. The ROM of stabilized segments decreased significantly from 7.8°± 2.4° to 4.5° ± 1.5° （t = 7.18, P 〈 0.05）, while the upper adjacent segments increased significantly from 8.3° ± 2.4° to 10.4° ± 2.4° （t = 2.87, P = 0.01）. The change in disc height of stabilized segments was not significant （11.9 ±2.1 preoperatively vs. 12.5 ± 1.5 postoperatively, t = 1.43, P = 0.15）, whereas t

关键词： Adjacent Segment Degeneration Dynamic Stabilization: Dynesys lumbar Spinal Stenosis lumbar spondylolisthesis

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