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Spatiotemporal Gait Parameters and Gait Asymmetry in Patients With Lumbar Disc Herniation, Treated With Microdiscectomy: A Prospective, Observational Study
Neurospine. 2023;20(3):947-958.   Published online September 30, 2023
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Spatiotemporal Gait Parameters and Gait Asymmetry in Patients With Lumbar Disc Herniation, Treated With Microdiscectomy: A Prospective, Observational Study
Neurospine. 2023;20(3):947-958.   Published online September 30, 2023
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Objective
The aim of this study was to emphasize on the interaction of spatial and temporal gait parameters and analyse the gait asymmetry in the patients with lumbar disc herniation (LDH) before and after microdiscectomy.
Methods
This was a prospective, observational study conducted on 59 cases of LDH planned for lumbar microdiscectomy, and healthy control group with 54 participants for analysis was performed prior to surgery and 15 days after surgery. The spatiotemporal gait parameters were measured using a “Win-Track” gait analysis platform system. All the participants walked barefoot for 10 times with their normal walking speed in the same day. The 3 flawless walking data were recorded and the arithmetic means were computed. The gait symmetry index was used to calculate the walking asymmetry. The pain intensity of the patients was recorded shortly before performing the analysis by a visual analogue scale.
Results
In the postoperative assessment LDH patients had significantly shorter temporal parameters, longer spatial parameters, faster walking speed, and more cadence than the preoperative assessment (p < 0.05). There were improvements in the asymmetry values of the postoperative gait parameters compared to the preoperative values, but these differences were not significant (p > 0.05). In addition, there was a significant difference in all parameters in terms of gait asymmetry between the postoperative assessment and the healthy controls (p < 0.05).
Conclusion
These results can guide the patient-specific evaluating and implementation of gait rehabilitation programs, and design protocols before or after surgery in the LDH patients.

Citations

Citations to this article as recorded by  Crossref logo
  • Characterization of abnormal asymmetrical lifting mechanics in surgery-candidate patients with lumbar radiculopathy
    Ram Haddas, Haseeb Goheer, Ye Shu, Paul Rubery, Ashley Rogerson, Varun Puvanesarajah
    European Spine Journal.2026; 35(4): 2079.     CrossRef
  • Combined Analysis of Gait Cycle and Imaging Parameters in Patients with Lumbar Disc Herniation: An Exploratory Study
    Inês F. Mendes, Rita N. S. Fernandes, André P. G. Castro, Nuno A. R. Cristino
    Annals of Biomedical Engineering.2026;[Epub]     CrossRef
  • Assessment of lumbar disc herniation-impaired gait by using IMU data fusion method
    Yongsong Wang, Zhixin Li, Guohui Zhao, Yin Ding, Zhan Huan, Lin Chen
    Computer Methods in Biomechanics and Biomedical Engineering.2025; 28(16): 2372.     CrossRef
  • Herbal prescription Siryeongtang and acupuncture treatment for gait disturbance due to idiopathic normal pressure hydrocephalus: A case report
    Moon-Young Ki, Han-Gyul Lee, Seungwon Kwon, Woo-Sang Jung, Sang-Kwan Moon
    EXPLORE.2025; 21(1): 103097.     CrossRef
  • Evidence-Based Clinical Practice Guidelines for Patients With Lumbar Disc Herniation With Radiculopathy in South Korea
    Jong Joo Lee, Min Cheol Chang, Dong Ah Shin, Jin Hoon Park, Miyoung Choi, Hyung-Youl Park, In Soo Kim, Jung-Kil Lee, Chung-Kee Chough, Seung Hwan Yoon, Seong-Soo Choi, Sung-Woo Choi
    Neurospine.2025; 22(2): 366.     CrossRef
  • Characterizing gait abnormalities in patients with symptomatic lumbar degenerative disc disease
    Ram Haddas, Haseeb E Goheer, Cindy Wang, Paul Rubery, Gabriel Ramirez, Varun Puvanesarajah
    European Spine Journal.2025; 34(10): 4462.     CrossRef
  • Benchmarking of IMU-Based Gait Event Detection Algorithms Across Diverse Terrain Conditions
    Carlota Trigo, Pietro Della Vecchia, Francesco Crenna, Adriana Torres-Pardo, Jorge Andrés Gómez, Geronimo Ratto, Teresa Rodríguez Millán, Rubén Martínez Sánchez de la Torre, Jesús Tornero, Juan Moreno, Diego Torricelli
    IEEE Transactions on Neural Systems and Rehabilitation Engineering.2025; 33: 3181.     CrossRef
  • Gait variability in spinal sagittal imbalance patients before and after surgery
    Sadegh Madadi, Mostafa Rostami, Hadi Farahani, Farshad Nikouee, Mohammad Samadian, Ram Haddas
    Signal, Image and Video Processing.2025;[Epub]     CrossRef
  • Enhanced disc regeneration through CRISPR/Cas9-mediated SOX9 and TGFβ1 coexpression in tonsil-derived mesenchymal stromal cells
    Somin Lee, Yerin Yu, Dong hee Kim, Minsung Bock, Yeji Kim, Seong Bae An, Hyemin Choi, Hae Eun Shin, Dong-Youn Hwang, Inbo Han
    Stem Cell Research & Therapy.2025;[Epub]     CrossRef
  • LOMBER DİSKEKTOMİ CERRAHİSİ SONRASI YÜRÜMEDEKİ DEĞİŞİKLİKLERİN İNCELENMESİ
    Fatma Öz, Şeref Duhan Altuğ
    Izmir Democracy University Health Sciences Journal.2024; 7(3): 214.     CrossRef
  • 7,118 View
  • 294 Download
  • 10 Web of Science
  • 10 Crossref

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Effective Parameters for Gait Analysis in Experimental Models for Evaluating Peripheral Nerve Injuries in Rats
Neurospine. 2019;16(2):305-316.   Published online January 4, 2019
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Effective Parameters for Gait Analysis in Experimental Models for Evaluating Peripheral Nerve Injuries in Rats
Neurospine. 2019;16(2):305-316.   Published online January 4, 2019
Close
Objective
Chronic constriction injury (CCI) of the sciatic nerve is a peripheral nerve injury widely used to induce mononeuropathy. This study used machine learning methods to identify the best gait analysis parameters for evaluating peripheral nerve injuries.
Methods
Twenty-eight male Wistar rats (weighing 270±10 g), were used in the present study and divided into the following 4 groups: CCI with 4 ligatures around the sciatic nerve (CCI-4L; n=7), a modified CCI model with 1 ligature (CCI-1L; n=7), a sham group (n=7), and a healthy control group (n=7). All rats underwent gait analysis 7 and 28 days postinjury. The data were evaluated using Kinovea and WeKa software (machine learning and neural networks).
Results
In the machine learning analysis of the experimental groups, the pre-swing (PS) angle showed the highest ranking in all 3 analyses (sensitivity, specificity, and area under the receiver operating characteristics curve using the Naive Bayes, k-nearest neighbors, radial basis function classifiers). Initial contact (IC), step length, and stride length also performed well. Between 7 and 28 days after injury, there was an increase in the total course time, step length, stride length, stride speed, and IC, and a reduction in PS and IC-PS. Statistically significant differences were found between the control group and experimental groups for all parameters except speed. Interactions between time after injury and nerve injury type were only observed for IC, PS, and IC-PS.
Conclusion
PS angle of the ankle was the best gait parameter for differentiating nonlesions from nerve injuries and different levels of injury.

Citations

Citations to this article as recorded by  Crossref logo
  • Injectable poloxamer-based thermogel as a delivery platform for agmatine and hyaluronic acid in muscle tissue engineering
    Mohammad Qutub, Amol Tatode, Tanvi Premchandani, Jayshree Taksande, Milind Umekar
    European Journal of Pharmaceutics and Biopharmaceutics.2026; 220: 114983.     CrossRef
  • MicroRNA-301a knockout attenuates peripheral nerve regeneration by delaying Wallerian degeneration
    Lanya Fu, Xiaofang Hu, Jiawei Xu, Zhenlin Li, Jiale Cai, Xinrui Ma, Ying Zou, Ye He, Shuyi Xu, Yizhou Xu, Jiaqi Zhang, Yunlun Li, Jingmin Liu, Tsz Hei Fong, Xianghai Wang, Lixin Zhu, Dongfeng Chen, Aijun Liu, Xiaodong Ma, Jiasong Guo
    Neural Regeneration Research.2026; 21(6): 2580.     CrossRef
  • Multivariate description of gait changes in a mouse model of peripheral nerve injury and trauma
    Bilal A. Naved, Shuling Han, Kyle M. Koss, Mary J. Kando, Jiao-Jing Wang, Craig Weiss, Maya G. Passman, Jason A. Wertheim, Yuan Luo, Zheng J. Zhang, Antal Nógrádi
    PLOS ONE.2025; 20(1): e0312415.     CrossRef
  • Revealing gait as a murine biomarker of injury, disease, and age with multivariate statistics and machine learning
    Bilal A. Naved, Shuling Han, Kyle M. Koss, Mary J. Kando, Jiao-Jing Wang, Jill Chang, Craig Weiss, Maya G. Passman, Jason A. Wertheim, Yuan Luo, Zheng J. Zhang
    Scientific Reports.2025;[Epub]     CrossRef
  • Pathophysiological Aspects of Muscle Atrophy and Osteopenia Induced by Chronic Constriction Injury (CCI) of the Sciatic Nerve in Rats
    Francesca Bosco, Lorenza Guarnieri, Saverio Nucera, Miriam Scicchitano, Stefano Ruga, Antonio Cardamone, Samantha Maurotti, Cristina Russo, Anna Rita Coppoletta, Roberta Macrì, Irene Bava, Federica Scarano, Fabio Castagna, Maria Serra, Rosamaria Caminiti,
    International Journal of Molecular Sciences.2023; 24(4): 3765.     CrossRef
  • An Adapted Chronic Constriction Injury of the Sciatic Nerve Produces Sensory, Affective, and Cognitive Impairments: A Peripheral Mononeuropathy Model for the Study of Comorbid Neuropsychiatric Disorders Associated with Neuropathic Pain in Rats
    Priscila Medeiros, Ieda Regina dos Santos, Ivair Matias Júnior, Enza Palazzo, José Aparecido da Silva, Hélio Rubens Machado, Sérgio Henrique Ferreira, Sabatino Maione, Norberto Cysne Coimbra, Renato Leonardo de Freitas
    Pain Medicine.2021; 22(2): 338.     CrossRef
  • Gait Analysis Using Animal Models of Peripheral Nerve and Spinal Cord Injuries
    Gheorghita Isvoranu, Emilia Manole, Monica Neagu
    Biomedicines.2021; 9(8): 1050.     CrossRef
  • A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis
    Ariane Priscilla Magalhães Tenório, Matheus Calil Faleiros, José Raniery Ferreira Junior, Vitor Faeda Dalto, Rodrigo Luppino Assad, Paulo Louzada-Junior, Hiroyuki Yoshida, Marcello Henrique Nogueira-Barbosa, Paulo Mazzoncini de Azevedo-Marques
    International Journal of Computer Assisted Radiology and Surgery.2020; 15(10): 1737.     CrossRef
  • Use of the CatWalk gait analysis system to assess functional recovery in rodent models of peripheral nerve injury – a systematic review
    Johannes Heinzel, Gregor Längle, Viola Oberhauser, Thomas Hausner, Jonas Kolbenschlag, Cosima Prahm, Johannes Grillari, David Hercher
    Journal of Neuroscience Methods.2020; 345: 108889.     CrossRef
  • A novel multi-parametric analysis of non-invasive methods to assess animal distress during chronic pancreatitis
    Ahmed Abdelrahman, Simone Kumstel, Xianbin Zhang, Marie Liebig, Edgar Heinz Uwe Wendt, Johanna Eichberg, Rupert Palme, Thomas Thum, Brigitte Vollmar, Dietmar Zechner
    Scientific Reports.2019;[Epub]     CrossRef
  • 13,694 View
  • 229 Download
  • 12 Web of Science
  • 10 Crossref