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Related Experiment Video

Updated: May 22, 2025

Spinal Hernia Repair and Cauda Equina Repositioning After Lumbar Decompression under Three-Dimensional Microscopy: A Case Report and Literature Review
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Spinal Hernia Repair and Cauda Equina Repositioning After Lumbar Decompression under Three-Dimensional Microscopy: A Case Report and Literature Review

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Review Article: Diagnostic Paradigm Shift in Spine Surgery.

Aras Efe Levent1, Masato Tanaka1, Chetan Kumawat1,2

  • 1Department of Orthopedic Surgery, Okayama Rosai Hospital, 1-10-25 Chikkomidorimachi, Minami Ward Okayama, Okayama 702-8055, Japan.

Diagnostics (Basel, Switzerland)
|March 13, 2025
PubMed
Summary

Diagnosing spinal disorders has evolved with advanced imaging like MRI, offering superior insights for treatment planning. Emerging technologies like AI promise further precision and safety in spinal procedures.

Keywords:
MRIdiagnosisinnovative techniquemyelographyspine surgery

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Area of Science:

  • Spine diagnostics
  • Medical imaging
  • Surgical innovation

Background:

  • Clinical examination is crucial for diagnosing spinal disorders.
  • Diagnostic approaches have significantly evolved over the past 30 years.
  • Traditional methods like X-rays and CT scans remain accessible first-line tools.

Purpose of the Study:

  • To review the evolution of diagnostic methods for spinal disorders.
  • To highlight the increasing role of advanced imaging technologies.
  • To discuss the potential of emerging technologies in spinal surgery.

Main Methods:

  • Review of traditional radiographic methods (X-ray, CT).
  • Emphasis on Magnetic Resonance Imaging (MRI) for pathology detection and surgical planning.
  • Exploration of advanced imaging techniques (PET, fMRI, DWI, DTI) and their applications.
  • Discussion of emerging technologies like Artificial Intelligence (AI) and Virtual Reality (VR).

Main Results:

  • MRI is the most widely used tool for spinal disorder diagnosis and preoperative planning due to its superior capabilities.
  • Advanced imaging techniques show promise for detecting specialized pathologies but face cost and technical barriers.
  • AI, data analytics, and VR are poised to enhance the precision, safety, and efficacy of spinal procedures.

Conclusions:

  • The diagnosis and treatment of spinal disorders are being transformed by technological advancements.
  • Continuous innovation and adaptability are essential for improving patient outcomes in spinal surgery.
  • Advanced imaging and emerging technologies represent a paradigm shift in spinal care.