Skip to main navigation Skip to main content
  • E-Submission
  • Contact us

NS : Neurospine

OPEN ACCESS
ABOUT
BROWSE ARTICLES
FOR CONTRIBUTORS

Page Path

3
results for

"Biomarker"

Article category

Publication year

Keywords

Authors

Funded articles

"Biomarker"

Original Article

Regular Issue

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

Include:

Role of Preoperative Albumin Quotient in Surgical Planning for Posttraumatic Syringomyelia: A Comparative Cohort Study
Neurospine. 2024;21(1):212-222.   Published online February 1, 2024
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:
Include:
Role of Preoperative Albumin Quotient in Surgical Planning for Posttraumatic Syringomyelia: A Comparative Cohort Study
Neurospine. 2024;21(1):212-222.   Published online February 1, 2024
Close
Objective
Surgical procedures for patients with posttraumatic syringomyelia (PTS) remain controversial. Until now, there have been no effective quantitative evaluation methods to assist in selecting appropriate surgical plans before surgery.
Methods
We consecutively enrolled PTS patients (arachnoid lysis group, n = 42; shunting group, n = 14) from 2003 to 2023. Additionally, 19 intrathecal anesthesia patients were included in the control group. All patients with PTS underwent physical and neurological examinations and spinal magnetic resonance imaging preoperatively, 3–12 months postoperatively and during the last follow-up. Preoperative lumbar puncture was performed and blood-spinal cord barrier disruption was detected by quotient of albumin (Qalb, cerebrospinal fluid/serum).
Results
The ages (p = 0.324) and sex (p = 0.065) of the PTS and control groups did not differ significantly. There were also no significant differences in age (p = 0.216), routine blood data and prognosis (p = 0.399) between the arachnoid lysis and shunting groups. But the QAlb level of PTS patients was significantly higher than that of the control group (p < 0.001), and the shunting group had a significantly higher QAlb (p < 0.001) than the arachnoid lysis group. A high preoperative QAlb (odds ratio, 1.091; 95% confidence interval, 1.004–1.187; p = 0.041) was identified as the predictive factor for the shunting procedure, with the receiver operating characteristic curve showing 100% specificity and 80.95% sensitivity for patients with a QAlb > 12.67.
Conclusion
Preoperative QAlb is a significant predictive factor for the types of surgery. For PTS patients with a QAlb > 12.67, shunting represents the final recourse, necessitating the exploration and development of novel treatments for these patients.

Citations

Citations to this article as recorded by  Crossref logo
  • A novel Minimally-Invasive technique for Non-Traumatic postoperative adhesive Syringomyelia
    Can Zhang, Chenghua Yuan, Jiachen Wang, Hao Wu, Zan Chen, Fengzeng Jian, Jian Guan
    European Spine Journal.2026; 35(4): 2095.     CrossRef
  • Extracellular Vesicle-Based Biomarkers in Spinal Cord Injury: A State-of-the-Art Review on Diagnostic and Prognostic Advances
    Trung Nhan Vo, Hae Eun Shin, Yeji Kim, Inbo Han
    International Journal of Molecular Sciences.2026; 27(4): 2079.     CrossRef
  • 5,867 View
  • 120 Download
  • 3 Web of Science
  • 2 Crossref

Review Articles

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

Include:

Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives
Neurospine. 2019;16(4):705-711.   Published online December 31, 2019
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:
Include:
Internet of Things, Digital Biomarker, and Artificial Intelligence in Spine: Current and Future Perspectives
Neurospine. 2019;16(4):705-711.   Published online December 31, 2019
Close
Recent interest in medical artificial intelligence (AI) has increased with onset of the fourth industrial revolution. Real-time monitoring of patients is an important research area of medical AI. The medical AI is very closely related to the Internet of Things (IoT), a core element of the fourth industrial revolution. Attempts to diagnose and treat patients using IoT have been already applied to patients with chronic disease such as hypertension and arrhythmia. However, in the spine, research on IoT and digital biomarkers are still in the early stages. The digital biomarker obtained by IoT devices is objective and could represent real-time, real-world, and abundant data. Based on its characteristics, IoT and digital biomarkers can also be useful in the spine. Currently, research on real-time monitoring of physical activity or spinal posture is ongoing. Therefore, the authors introduce the basic concepts of IoT and digital biomarkers, their relationship to AI, and recent trends. Current and future perspectives of IoT and digital biomarker in spine are also discussed. In the future, it is expected that IoT, digital biomarkers, and AI will lead to a paradigm shift in the diagnosis and treatment of spinal diseases.

Citations

Citations to this article as recorded by  Crossref logo
  • A cascaded approach of group sparse mode decomposition and deep neural network for heart rate estimation using reference signal-less PPG signal
    Pankaj, Pratibha Maan, Manjeet Kumar, Ashish Kumar, Rama Komaragiri
    Measurement.2025; 246: 116546.     CrossRef
  • A cyber physical sustainable smart city framework toward society 5.0: Explainable AI for enhanced SDGs monitoring
    Ali H. Hassan, Elsadig Musa Ahmed, Jamal M. Hussien, Riza bin Sulaiman, Mansoor Abdulhak, Hasan Kahtan
    Research in Globalization.2025; 10: 100275.     CrossRef
  • Healthcare 4.0: a systematic literature review
    Bárbara Santiago de Mendonça, Lásara Fabrícia Rodrigues, Karine Araújo Ferreira
    Journal of Health Organization and Management.2025; 39(7): 1313.     CrossRef
  • IoT-enabled medical advances shaping the future of orthopaedic surgery and rehabilitation
    Bhumika Parashar, Rishabha Malviya, Sathvik Belagodu Sridhar, Tarun Wadhwa, Javedh Shareef
    Journal of Clinical Orthopaedics and Trauma.2025; 68: 103113.     CrossRef
  • Artificial intelligence in disease diagnostics: a comprehensive narrative review of current advances, applications, and future challenges in healthcare
    Mohamed Baklola, Reem Reda Elmahdi, Shaimaa Ali, Mohamed Elshenawy, Ali Mohamed Mossad, Naji Al-Bawah, Rahma Mohamed Mansour
    Annals of Medicine & Surgery.2025; 87(7): 4237.     CrossRef
  • Wearable sensor technologies for individuals with back pain: a scoping review
    Jordan J. Ryan, Emma Bowden, Matthew M. Hancock, Kali Power, N. Wesley Edwards, Emily White, David T. Fullwood, Ulrike Mitchell, Jennifer A. Bowden, Anton E. Bowden
    Pain Management.2025; 15(11): 855.     CrossRef
  • Effectiveness and reliability of AI in diagnosis and robot-assisted spinal and cranial surgery: efficient outcomes and ethical worries
    Iqra Shahid, Ahmed Raza, Inshrah Qureshi, Umaima Cheema, Siraj Ul Muneer, Ayesha Sehar, Maryam Aqeel, Saleha Azeem, Ahmad Hussain, Calvin R. Wei, Samuel Mbabazi, Fabrice Kibukila, Dieudonné Kakusu, Aymar Akilimali
    Annals of Medicine & Surgery.2025; 87(11): 7280.     CrossRef
  • AI-powered biometrics for Internet of Things security: A review and future vision
    Ali Ismail Awad, Aiswarya Babu, Ezedin Barka, Khaled Shuaib
    Journal of Information Security and Applications.2024; 82: 103748.     CrossRef
  • GCLP: An automated asthma detection model based on global chaotic logistic pattern using cough sounds
    Mehmet Kilic, Prabal Datta Barua, Tugce Keles, Arif Metehan Yildiz, Ilknur Tuncer, Sengul Dogan, Mehmet Baygin, Turker Tuncer, Mutlu Kuluozturk, Ru-San Tan, U. Rajendra Acharya
    Engineering Applications of Artificial Intelligence.2024; 127: 107184.     CrossRef
  • A topical review on AI-interlinked biodomain sensors for multi-purpose applications
    Rubi Thapa, Sachin Poudel, Katarzyna Krukiewicz, Anil Kunwar
    Measurement.2024; 227: 114123.     CrossRef
  • Definitions of digital biomarkers: a systematic mapping of the biomedical literature
    Ana Karen Macias Alonso, Julian Hirt, Tim Woelfle, Perrine Janiaud, Lars G Hemkens
    BMJ Health & Care Informatics.2024; 31(1): e100914.     CrossRef
  • Artificial intelligence in shoulder and elbow surgery: overview of current and future applications
    Jay M. Levin, Samuel G. Lorentz, Eoghan T. Hurley, Julia Lee, Thomas W. Throckmorton, Grant E. Garrigues, Peter MacDonald, Oke Anakwenze, Bradley S. Schoch, Christopher Klifto
    Journal of Shoulder and Elbow Surgery.2024; 33(7): 1633.     CrossRef
  • Nurses' perceptions of medical service robots in negative‐pressure isolated wards and in general wards: A cross‐sectional survey
    Jung Hwan Lee, In Ho Han, Jong Hwan Park, Kye‐Hyung Kim, Jaehyun Hwang, Dong Hwan Kim, Jae Il Lee, Kyoung Hyup Nam
    Nursing Open.2024;[Epub]     CrossRef
  • Exploring the Role of Artificial Intelligence in Internet of Things Systems: A Systematic Mapping Study
    Umair Khadam, Paul Davidsson, Romina Spalazzese
    Sensors.2024; 24(20): 6511.     CrossRef
  • The Co-Piloting Model for Using Artificial Intelligence Systems in Medicine: Implementing the Constrained-Disorder-Principle-Based Second-Generation System
    Yaron Ilan
    Bioengineering.2024; 11(11): 1111.     CrossRef
  • RETRACTED ARTICLE: Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
    Yogesh Kumar, Apeksha Koul, Ruchi Singla, Muhammad Fazal Ijaz
    Journal of Ambient Intelligence and Humanized Computing.2023; 14(7): 8459.     CrossRef
  • The role of Artificial intelligence in the assessment of the spine and spinal cord
    Teodoro Martín-Noguerol, Marta Oñate Miranda, Timothy J. Amrhein, Felix Paulano-Godino, Pau Xiberta, Joan C Vilanova, Antonio Luna
    European Journal of Radiology.2023; 161: 110726.     CrossRef
  • I Asked a ChatGPT to Write an Editorial About How We Can Incorporate Chatbots Into Neurosurgical Research and Patient Care…
    Randy S. D'Amico, Timothy G. White, Harshal A. Shah, David J. Langer
    Neurosurgery.2023; 92(4): 663.     CrossRef
  • Discovering the digital biomarker of hepatocellular carcinoma in serum with SERS-based biosensors and intelligence vision
    Ningtao Cheng, Bin Lou, Hongyang Wang
    Colloids and Surfaces B: Biointerfaces.2023; 226: 113315.     CrossRef
  • A bibliometric analysis of patient-reported outcome measures in adult spinal deformity, and the future of patient-centric outcome assessments in the era of predictive analytics
    David B. Kurland, Darryl Lau, Nora C. Kim, Christopher Ames
    Seminars in Spine Surgery.2023; 35(2): 101032.     CrossRef
  • Digital Biomarkers and the Evolution of Spine Care Outcomes Measures: Smartphones and Wearables
    Christina L. Bi, David B. Kurland, Roee Ber, Douglas Kondziolka, Darryl Lau, Donato Pacione, Anthony Frempong-Boadu, Ilya Laufer, Eric K. Oermann
    Neurosurgery.2023; 93(4): 745.     CrossRef
  • Morse glasses: an IoT communication system based on Morse code for users with speech impairments
    Nayera Tarek, Mariam Abo Mandour, Nada El-Madah, Reem Ali, Sara Yahia, Bassant Mohamed, Dina Mostafa, Sara El-Metwally
    Computing.2022; 104(4): 789.     CrossRef
  • User perception of medical service robots in hospital wards: a cross-sectional study
    Jung Hwan Lee, Jae Meen Lee, Jaehyun Hwang, Joo Young Park, Mijeong Kim, Dong Hwan Kim, Jae Il Lee, Kyoung Hyup Nam, In Ho Han
    Journal of Yeungnam Medical Science.2022; 39(2): 116.     CrossRef
  • [Retracted] The Application of Edge Computing Technology in Strength Training in Hip‐Hop Training and Teaching under the Background of Artificial Intelligence and Internet of Things
    Jie Liu, Wei Ren, Rashid A Saeed
    Wireless Communications and Mobile Computing.2022;[Epub]     CrossRef
  • Pulmonary Nodule Clinical Trial Data Collection and Intelligent Differential Diagnosis for Medical Internet of Things
    Weijia Wu, Lizhong Gu, Yuefeng Zhang, Xianping Huang, Weihe Zhou, Mohammad Farukh Hashmi
    Contrast Media & Molecular Imaging.2022;[Epub]     CrossRef
  • Diagnostic triage in patients with central lumbar spinal stenosis using a deep learning system of radiographs
    Tackeun Kim, Young-Gon Kim, Seyeon Park, Jae-Koo Lee, Chang-Hyun Lee, Seung-Jae Hyun, Chi Heon Kim, Ki-Jeong Kim, Chun Kee Chung
    Journal of Neurosurgery: Spine.2022; 37(1): 104.     CrossRef
  • A Review of Artificial Intelligence and Robotics in Transformed Health Ecosystems
    Kerstin Denecke, Claude R. Baudoin
    Frontiers in Medicine.2022;[Epub]     CrossRef
  • Internet of Medical Things (IoMT)-Based Smart Healthcare System: Trends and Progress
    Jyoti Srivastava, Sidheswar Routray, Sultan Ahmad, Mohammad Maqbool Waris, Muhammad Zubair Asghar
    Computational Intelligence and Neuroscience.2022; 2022: 1.     CrossRef
  • Digital Biomarker–Based Studies: Scoping Review of Systematic Reviews
    Hossein Motahari-Nezhad, Meriem Fgaier, Mohamed Mahdi Abid, Márta Péntek, László Gulácsi, Zsombor Zrubka
    JMIR mHealth and uHealth.2022; 10(10): e35722.     CrossRef
  • Artificial Intelligence in Spinal Imaging: Current Status and Future Directions
    Yangyang Cui, Jia Zhu, Zhili Duan, Zhenhua Liao, Song Wang, Weiqiang Liu
    International Journal of Environmental Research and Public Health.2022; 19(18): 11708.     CrossRef
  • Validation of a gyroscope-based wearable device for real-time position monitoring of patients in a hospital
    Jung Hwan Lee, Jae Il Lee, Dong Hwan Kim, Kyoung Hyup Nam, Tae Jin Jeon, In Ho Han
    Technology and Health Care.2021; 29(4): 843.     CrossRef
  • Application of wearable devices in 6G internet of things communication environment using artificial intelligence
    Liang Xu
    International Journal of System Assurance Engineering and Management.2021; 12(4): 741.     CrossRef
  • Digital Biomarkers for Neuromuscular Disorders: A Systematic Scoping Review
    Bo-Young Youn, Youme Ko, Seunghwan Moon, Jinhee Lee, Seung-Gyu Ko, Jee-Young Kim
    Diagnostics.2021; 11(7): 1275.     CrossRef
  • Wearables and Internet of Things (IoT) Technologies for Fitness Assessment: A Systematic Review
    João Passos, Sérgio Ivan Lopes, Filipe Manuel Clemente, Pedro Miguel Moreira, Markel Rico-González, Pedro Bezerra, Luís Paulo Rodrigues
    Sensors.2021; 21(16): 5418.     CrossRef
  • On Blurry Boundaries When Defining Digital Biomarkers: How Much Biology Needs to Be in a Digital Biomarker?
    Christian Montag, Jon D. Elhai, Paul Dagum
    Frontiers in Psychiatry.2021;[Epub]     CrossRef
  • NextGen Public Health Surveillance and the Internet of Things (IoT)
    Kirti Sundar Sahu, Shannon E. Majowicz, Joel A. Dubin, Plinio Pelegrini Morita
    Frontiers in Public Health.2021;[Epub]     CrossRef
  • Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare
    Yi Xie, Lin Lu, Fei Gao, Shuang-jiang He, Hui-juan Zhao, Ying Fang, Jia-ming Yang, Ying An, Zhe-wei Ye, Zhe Dong
    Current Medical Science.2021; 41(6): 1123.     CrossRef
  • Covid-19 and the management of patients with inflammatory bowel disease: a practical decalogue for the post-pandemic phase
    Alfredo Papa, Valerio Papa, Loris Riccardo Lopetuso, Antonio Gasbarrini, Antonio Tursi
    Therapeutic Advances in Gastroenterology.2020;[Epub]     CrossRef
  • 13,910 View
  • 246 Download
  • 40 Web of Science
  • 38 Crossref

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

Include:

Degenerative Cervical Myelopathy; A Review of the Latest Advances and Future Directions in Management
Neurospine. 2019;16(3):494-505.   Published online August 26, 2019
Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:
Include:
Degenerative Cervical Myelopathy; A Review of the Latest Advances and Future Directions in Management
Neurospine. 2019;16(3):494-505.   Published online August 26, 2019
Close
The assessment, diagnosis, operative and nonoperative management of degenerative cervical myelopathy (DCM) have evolved rapidly over the last 20 years. A clearer understanding of the pathobiology of DCM has led to attempts to develop objective measurements of the severity of myelopathy, including technology such as multiparametric magnetic resonance imaging, biomarkers, and ancillary clinical testing. New pharmacological treatments have the potential to alter the course of surgical outcomes, and greater innovation in surgical techniques have made surgery safer, more effective and less invasive. Future developments for the treatment of DCM will seek to improve the diagnostic accuracy of imaging, improve the objectivity of clinical assessment, and increase the use of surgical technology to ensure the best outcome is achieved for each individual patient.

Citations

Citations to this article as recorded by  Crossref logo
  • Predictive Factors for Postoperative Outcomes of Cervical Spondylotic Myelopathy in Individuals With Cerebral Palsy
    Su Ji Lee, Jihye Hwang, Min Gyu Kang, Minjae Cho, Yoon Ha, Sung-Rae Cho
    Global Spine Journal.2026; 16(1): 75.     CrossRef
  • Laminoplasty vs Laminectomy and Fusion for Cervical Myelopathy: Alarming Rates of Bias
    Henry Avetisian, Kevin Mathew, Annika Myers, Apurva Prasad, Jordan O. Gasho, William Karakash, Jeffrey C. Wang, Raymond J. Hah, Ram K. Alluri
    Global Spine Journal.2026; 16(1): 297.     CrossRef
  • Determinants of anatomical decompression in symptomatic degenerative cervical myelopathy: A quantitative MRI analysis of unsatisfactory surgical outcomes
    Antonio Montalvo-Afonso, Vicente Martín-Velasco, Javier Martín-Alonso, Rubén Diana-Martín, José Manuel Castilla-Díez, Jerónimo González-Bernal, Pedro David Delgado-López
    Journal of Clinical Neuroscience.2026; 147: 111908.     CrossRef
  • Reduction of Spinal Cord Cross-Sectional Area Is Associated With Myelopathy in Severe Cervical Ossification of the Posterior Longitudinal Ligaments
    Hyun-Jun Jang, Dong-Kyu Kim, Bong-Ju Moon, Kyung-Hyun Kim, Jeong-Yoon Park, Sung-Uk Kuh, Keun-Su Kim, Yong-Eun Cho, Dong-Kyu Chin
    Neurosurgery.2026;[Epub]     CrossRef
  • A deep learning-based hand motion classification for hand dysfunction assessment in cervical spondylotic myelopathy
    Xiaodong Li, Ningbo Fei, Kinto Wan, Jason Pui Yin Cheung, Yong Hu
    Biomedical Signal Processing and Control.2025; 99: 106884.     CrossRef
  • Conservative and newer drug treatment for degenerative cervical myelopathy
    Osita Ede, Jason Pui Yin Cheung
    Journal of Clinical Orthopaedics and Trauma.2025; 64: 102972.     CrossRef
  • MYNAH Registry: A novel approach to decoding the natural history of degenerative cervical myelopathy
    Nashwa Najib, Alisha W. Sial, Hussain Bohra, Ashish D. Diwan
    Journal of Clinical Orthopaedics and Trauma.2025; 68: 103075.     CrossRef
  • Evolution of Cervical Endoscopic Spine Surgery: Current Progress and Future Directions—A Narrative Review
    Chuan-Ching Huang, Jamal Fitts, David Huie, Deb A. Bhowmick, Muhammad M. Abd-El-Barr
    Journal of Clinical Medicine.2024; 13(7): 2122.     CrossRef
  • A Comparison of Short-Term Outcomes after Surgical Treatment of Multilevel Degenerative Cervical Myelopathy in the Geriatric Patient Population: An Analysis of the National Surgical Quality Improvement Program Database 2010–2020
    Jeffrey Hyun-Kyu Choi, Paramveer Singh Birring, Joshua Lee, Sohaib Zafar Hashmi, Nitin Narain Bhatia, Yu-po Lee
    Asian Spine Journal.2024; 18(2): 190.     CrossRef
  • Machine-learning-based models for the optimization of post-cervical spinal laminoplasty outpatient follow-up schedules
    Yechan Seo, Seoi Jeong, Siyoung Lee, Tae-Shin Kim, Jun-Hoe Kim, Chun Kee Chung, Chang-Hyun Lee, John M. Rhee, Hyoun-Joong Kong, Chi Heon Kim
    BMC Medical Informatics and Decision Making.2024;[Epub]     CrossRef
  • Is neck pain a marker for something serious? Like myelopathy
    Alisha W. Sial, Stone Sima, Rajpal Narulla, Nashwa Najib, Mark Davies, Ashish D. Diwan
    Spinal Cord.2024; 62(12): 718.     CrossRef
  • Cervical myelopathy mistaken for complex regional pain syndrome: A case report
    Jiwon Bak, Byeongmun Hwang
    Medicine.2024; 103(41): e39173.     CrossRef
  • Ayurvedic Management of Myelomalacia (Asthimajjagata Vata) – A Case Report
    Manisha Chaudhary, Mandip Goyal, Charmi Mehta
    AYUHOM.2024; 11(2): 229.     CrossRef
  • Cervical Myelopathy: Diagnostic Aspects, Surgical Treatment and Evolution of Patients Operated upon in Yaounde
    Bello Figuim, Djoubairou Ben Ousmanou, Oumarou Haman Nassourou, Ndome Toto Orlande, Amadou Tidjani, Djientcheu Vincent de Paul
    Open Journal of Modern Neurosurgery.2024; 14(01): 72.     CrossRef
  • The role of Artificial intelligence in the assessment of the spine and spinal cord
    Teodoro Martín-Noguerol, Marta Oñate Miranda, Timothy J. Amrhein, Felix Paulano-Godino, Pau Xiberta, Joan C Vilanova, Antonio Luna
    European Journal of Radiology.2023; 161: 110726.     CrossRef
  • Contribution of dynamic cervical MRI to surgical planning for degenerative cervical myelopathy: Revision rate and clinical outcomes at 5 years’ postoperative
    Solène Prost, Kaissar Farah, Aurélie Toquart, Nacer Mansouri, Benjamin Blondel, Stéphane Fuentes
    Orthopaedics & Traumatology: Surgery & Research.2023; 109(2): 103440.     CrossRef
  • A Longer Duration of Myelopathy Symptoms is Associated With the Lack of Intraoperative Motor Evoked Potential Improvement During Decompressive Cervical Myelopathy Surgery
    Jing Loong Moses Loh, Lei Jiang, Bo Jun Woo, Lisha Zhu, Poh Ling Fong, Chang Ming Guo, Reuben Chee Cheong Soh
    Clinical Spine Surgery.2023; 36(5): 195.     CrossRef
  • Comparison of posterior muscle-preserving selective laminectomy and laminectomy with fusion for treating cervical spondylotic myelopathy: study protocol for a randomized controlled trial
    Anna MacDowall, Håkan Löfgren, Erik Edström, Helena Brisby, Catharina Parai, Adrian Elmi-Terander
    Trials.2023;[Epub]     CrossRef
  • Apport de l’IRM cervicale dynamique dans la planification chirurgicale des myélopathies cervico-arthrosiques : taux de révision et résultats cliniques à 5 ans postopératoires
    Solène Prost, Kaissar Farah, Aurélie Toquart, Nacer Mansouri, Benjamin Blondel, Stéphane Fuentes
    Revue de Chirurgie Orthopédique et Traumatologique.2023; 109(2): 184.     CrossRef
  • Degenerative cervical myelopathy: Where have we been? Where are we now? Where are we going?
    Nader Hejrati, Karlo Pedro, Mohammed Ali Alvi, Ayesha Quddusi, Michael G. Fehlings
    Acta Neurochirurgica.2023; 165(5): 1105.     CrossRef
  • Full Endoscopic Spine Surgery for Cervical Spondylotic Myelopathy: A Systematic Review
    Chao-Jui Chang, Yuan-Fu Liu, Yu-Meng Hsiao, Wei-Lun Chang, Che-Chia Hsu, Keng-Chang Liu, Yi-Hung Huang, Ming-Long Yeh, Cheng-Li Lin
    World Neurosurgery.2023; 175: 142.     CrossRef
  • Influence of Preoperative Sagittal Alignment on Functional Recovery in Operated Cases of Cervical Spondylotic Myelopathy
    Shankar Acharya, Varun Khanna, Kashmiri Lal Kalra, Rupinder Singh Chahal
    Asian Journal of Neurosurgery.2023; 18(02): 293.     CrossRef
  • Tratamiento quirúrgico de las estenosis centrales del conducto cervical
    M. Khalifé, P. Guigui, E. Hoffmann, E. Ferrero
    EMC - Técnicas Quirúrgicas - Ortopedia y Traumatología.2023; 15(4): 1.     CrossRef
  • The Scope of Physiotherapy Rehabilitation in Compressive Myelopathy Managed by Spinal Fusion: A Case Report
    Ghanishtha Burile, Swapna Jawade, Nikita Seth
    Cureus.2023;[Epub]     CrossRef
  • Traitement chirurgical des sténoses centrales du canal cervical
    M. Khalifé, P. Guigui, E. Hoffmann, E. Ferrero
    EMC - Techniques chirurgicales - Orthopédie - Traumatologie.2023; 43(2): 1.     CrossRef
  • Degenerative Cervical Myelopathy: Towards a Personalized Approach
    Nader Hejrati, Ali Moghaddamjou, Nandan Marathe, Michael G. Fehlings
    Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques.2022; 49(6): 729.     CrossRef
  • Importance of Differential Diagnosis of a Possible Brain Tumor in Patients with Cervical Radiculopathy
    Jin-Shup So, Young-Jin Kim, Sang-Koo Lee, Chun-Sung Cho
    Journal of Korean Neurosurgical Society.2022; 65(1): 145.     CrossRef
  • Cervical Disk Arthroplasty Is an Acceptable Treatment Option for Cervical Myelopathy
    Sarah Y. Nelson, DesRaj M. Clark, Benjamin W. Hoyt, Alexander E. Lundy, Scott C. Wagner
    Clinical Spine Surgery.2022; 35(3): 95.     CrossRef
  • Comparison of anterior cervical discectomy and fusion versus artificial disc replacement for cervical spondylotic myelopathy: a meta-analysis
    Chao-Jui Chang, Yuan-Fu Liu, Yu-Meng Hsiao, Yi-Hung Huang, Keng-Chang Liu, Ruey-Mo Lin, Cheng-Li Lin
    Journal of Neurosurgery: Spine.2022; 37(4): 569.     CrossRef
  • Clinical efficacy and learning curve of posterior percutaneous endoscopic cervical laminoforaminotomy for patients with cervical spondylotic radiculopathy
    Ran Yao, Ming Yan, Qingchen Liang, Hongqing Wang, Zuyao Liu, Fu Li, Hao Zhang, Ke Li, Fenglong Sun
    Medicine.2022; 101(36): e30401.     CrossRef
  • Effects of Preservation of the Semispinalis Cervicis Inserted into C2 on Craniocervical Alignment After Laminoplasty
    Kiyoharu Shimizu, Takafumi Mitsuhara, Masaaki Takeda, Kaoru Kurisu, Satoshi Yamaguchi
    World Neurosurgery.2021; 146: e1367.     CrossRef
  • Surgery for Degenerative Cervical Myelopathy
    Oliver Gembruch, Ramazan Jabbarli, Ali Rashidi, Mehdi Chihi, Susann Hetze, Lennart Barthel, Adrian Toplak, Nicolai El Hindy, Ulrich Sure, Philipp Dammann, Neriman Özkan
    Spine.2021; 46(5): 294.     CrossRef
  • Preoperative Radiological Parameters to Predict Clinical and Radiological Outcomes after Laminoplasty
    Su Hun Lee, Dong Wuk Son, Jun Jae Shin, Yoon Ha, Geun Sung Song, Jun Seok Lee, Sang Weon Lee
    Journal of Korean Neurosurgical Society.2021; 64(5): 677.     CrossRef
  • Validation of a translated version of the modified Japanese Orthopedic Association (mJOA) cervical myelopathy score in an Arabic speaking population
    Belal Elnady, Ahmed Abdelazim A. Hassan, Khaled Mohamed Hassan, Hassan Mohamed Ali
    SICOT-J.2021; 7: 50.     CrossRef
  • Using Smartphones for Clinical Assessment in Cervical Spondylotic Myelopathy a Feasibility Study
    Julien Francisco Zaldivar-Jolissaint, François Lechanoine, Bernard Krummenacher, Rivus Ferreira Arruda, Lukas Bobinski, Emmanuel de Schlichting, John Michael Duff
    Journal of Medical Devices.2021;[Epub]     CrossRef
  • Comparison of the effectiveness and safety of bioactive glass ceramic to allograft bone for anterior cervical discectomy and fusion with anterior plate fixation
    Hyung Cheol Kim, Jae Keun Oh, Du Su Kim, Jeffrey S. Roh, Tae Woo Kim, Seong Bae An, Hyeong Seok Jeon, Dong Ah Shin, Seong Yi, Keung Nyun Kim, Do Heum Yoon, Yoon Ha
    Neurosurgical Review.2020; 43(5): 1423.     CrossRef
  • Degenerative Cervical Myelopathy: A Brief Review of Past Perspectives, Present Developments, and Future Directions
    Aria Nouri, Joseph S. Cheng, Benjamin Davies, Mark Kotter, Karl Schaller, Enrico Tessitore
    Journal of Clinical Medicine.2020; 9(2): 535.     CrossRef
  • Multidisciplinary approach to degenerative cervical myelopathy
    Ali Moghaddamjou, Jamie R.F. Wilson, Allan R. Martin, Harry Gebhard, Michael G. Fehlings
    Expert Review of Neurotherapeutics.2020; 20(10): 1037.     CrossRef
  • Bandscheiben-Prothese bei zervikaler Myelopathie
    Christoph Mehren, Bastian Storzer
    Die Wirbelsäule.2020; 04(04): 261.     CrossRef
  • Surgical Strategies for Cervical Deformities Associated With Neuromuscular Disorders
    Jong Joo Lee, Sung Han Oh, Yeong Ha Jeong, Sang Man Park, Hyeong Seok Jeon, Hyung-Cheol Kim, Seong Bae An, Dong Ah Shin, Seong Yi, Keung Nyun Kim, Do Heum Yoon, Jun Jae Shin, Yoon Ha
    Neurospine.2020; 17(3): 513.     CrossRef
  • Frailty Is a Better Predictor than Age of Mortality and Perioperative Complications after Surgery for Degenerative Cervical Myelopathy: An Analysis of 41,369 Patients from the NSQIP Database 2010–2018
    Jamie R. F. Wilson, Jetan H. Badhiwala, Ali Moghaddamjou, Albert Yee, Jefferson R. Wilson, Michael G. Fehlings
    Journal of Clinical Medicine.2020; 9(11): 3491.     CrossRef
  • Degenerative Cervical Myelopathy
    Atul Goel
    Neurospine.2019; 16(4): 793.     CrossRef
  • 19,131 View
  • 439 Download
  • 34 Web of Science
  • 42 Crossref