The discipline of spine surgery is changing dramatically thanks to innovations in surgical technology, big data analytics, improvement of AI/ML capabilities, and diagnostic standardization. It is now possible to transform classical surgical methods of treatment into minimally invasive spine surgeries (MISS). In this rapidly changing environment the community needs to consider all new evidence for and against these MISS innovations. Which MISS have been able to prove their benefits, and to whom? Are we seeing warning signs around certain procedures or for patients with certain risk factors? With computational advancements in AI/ML technologies and big data analytics it is becoming possible to provide the necessary evidence to optimize procedures and patient specific treatment paths.
The pain and disability outcomes for MISS treatments vary from patient to patient and procedure to procedure. Failed back surgery syndrome is highly prevalent, and possibly preventable. Comparisons between surgical procedures and patient characteristics will help the spine surgery community improve the treatment experience for spine patients and surgeons alike. The goal of this special collection is to optimize MISS procedures for various spinal diseases by:
1. Evaluation of the types of MISS techniques for degenerative spine diseases, spine trauma and primary spinal tumors.
2. Analysis of short- and long-term results of MISS vs open treatments for degenerative spine diseases, spinal trauma and primary spinal cord tumors
3. Situational optimization of procedure selection
4. Improvement of prognostic prediction on a patient specific basis using data analytics, AL/ML
This Research Topic welcomes reviews of minimally invasive spine surgical techniques with/without meta-analysis, editorials, short communications, and original studies covering topics related to:
• Minimally invasive spine surgery
• New procedures showing short term efficacy results
• Predicting results
• Surgical selection
• Comparative analysis
• Complications
• Function restoration
• Revision surgery
Prof. Morgan B. Giers is the Co-founder of a company Spine by Design LLC. Spine by Design is investigating market opportunities for software (owned by the university) predicting reherniations following microdiscectomy procedures. No other Conflicts of Interest are present in the team.
The discipline of spine surgery is changing dramatically thanks to innovations in surgical technology, big data analytics, improvement of AI/ML capabilities, and diagnostic standardization. It is now possible to transform classical surgical methods of treatment into minimally invasive spine surgeries (MISS). In this rapidly changing environment the community needs to consider all new evidence for and against these MISS innovations. Which MISS have been able to prove their benefits, and to whom? Are we seeing warning signs around certain procedures or for patients with certain risk factors? With computational advancements in AI/ML technologies and big data analytics it is becoming possible to provide the necessary evidence to optimize procedures and patient specific treatment paths.
The pain and disability outcomes for MISS treatments vary from patient to patient and procedure to procedure. Failed back surgery syndrome is highly prevalent, and possibly preventable. Comparisons between surgical procedures and patient characteristics will help the spine surgery community improve the treatment experience for spine patients and surgeons alike. The goal of this special collection is to optimize MISS procedures for various spinal diseases by:
1. Evaluation of the types of MISS techniques for degenerative spine diseases, spine trauma and primary spinal tumors.
2. Analysis of short- and long-term results of MISS vs open treatments for degenerative spine diseases, spinal trauma and primary spinal cord tumors
3. Situational optimization of procedure selection
4. Improvement of prognostic prediction on a patient specific basis using data analytics, AL/ML
This Research Topic welcomes reviews of minimally invasive spine surgical techniques with/without meta-analysis, editorials, short communications, and original studies covering topics related to:
• Minimally invasive spine surgery
• New procedures showing short term efficacy results
• Predicting results
• Surgical selection
• Comparative analysis
• Complications
• Function restoration
• Revision surgery
Prof. Morgan B. Giers is the Co-founder of a company Spine by Design LLC. Spine by Design is investigating market opportunities for software (owned by the university) predicting reherniations following microdiscectomy procedures. No other Conflicts of Interest are present in the team.