About this Research Topic

Background

Cervical and thoracic myelopathies, often resulting from degenerative spinal changes, present significant challenges in public health. The prevalence of these conditions is expected to rise markedly due to increasing sedentary lifestyles and extensive use of smartphones, which contribute to poor posture and spinal strain. While the pathology of degenerative spinal changes is well-understood, the focus must pivot toward optimizing surgical interventions aimed at alleviating spinal cord compression and correcting spinal abnormalities in these patient populations.

The goal of this Research Topic is to delve into the surgical treatments for cervical and thoracic myelopathies, exploring various approaches and their outcomes. With advancements in surgical technology, from open and endoscopic procedures to anterior and posterior approaches, there is a pressing need to evaluate the efficacy and safety of these methods. This collection aims to identify optimal surgical strategies, evaluate the role of intraoperative neurophysiological monitoring, and consider the emerging impact of artificial intelligence in surgical decision-making. By compiling comprehensive research, we seek to establish evidence-based guidelines that enhance surgical outcomes and overall patient recovery.

We are seeking contributions that focus on the surgical management of cervical and thoracic myelopathies. Submissions should prioritize the analysis and outcomes of various surgical techniques. Specific themes of interest include, but are not limited to:

- Comparative studies of open versus endoscopic surgical procedures;
- Anterior versus posterior surgical approaches and their respective outcomes;
- The role of intraoperative neurophysiological monitoring in guiding surgical decisions;
- Application of artificial intelligence in planning and performing spinal surgeries;
- Postoperative recovery and long-term functional outcomes following spinal surgeries;
- Management of complications arising from surgical interventions.

We invite original research articles, comprehensive reviews, and detailed case reports that contribute to advancing surgical practices in the treatment of degenerative spinal pathologies. This Research Topic aims to provide surgeons and clinicians with evidence-based insights to refine surgical techniques and improve patient outcomes.

Dr. Samar S. Ayache declares having received compensation from Sanofi Aventis, France; Novartis, France; Exoneural Network AB, Sweden and Ottobock, France.
Dr. Moussa Antoine Chalah received compensation from Janssen Global Services LLC, Exoneural Network AB, Sweden, and Ottobock, France.
Dr. Georges Naim Abi Lahoud has no potential conflict of interest to declare.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Case Report
• Classification
• Clinical Trial
• Curriculum, Instruction, and Pedagogy
• Editorial
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Case Report
• Classification
• Clinical Trial
• Curriculum, Instruction, and Pedagogy
• Editorial
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review
• Study Protocol
• Systematic Review
• Technology and Code

Keywords: Spinal surgery, cervical myelopathy, thoracic myelopathy, artificial intelligence

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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