Using the cobweb classification system as a digital location system for the neurologic compression in cervical...

Area of Science:

• Neurosurgery
• Radiology
• Orthopedics

Background:

• Cervical degenerative disease (CDD) presents complex neurological compression challenges.
• Precise anatomical localization and description of compression are crucial for surgical planning.
• Existing classification systems may lack the granularity needed for detailed assessment.

Purpose of the Study:

• To introduce the cobweb classification system (CCS) for detailed neurological compression assessment in CDD.
• To evaluate the interobserver and intraobserver reliability of the CCS.
• To perform a clinical subgroup analysis based on CCS parameters.

Main Methods:

• The CCS incorporates compression zones (1-12), degrees (a, b), and ossification (s, m, h).
• 238 CDD patients' CT and MRI images were reviewed by five independent spine surgeons.
• Kappa statistics were used to assess interobserver and intraobserver reliability; 74 surgically treated patients underwent subgroup analysis.

Main Results:

• Good interobserver reliability was found for small compressions (κ=0.855) and fair for large compressions (κ=0.696).
• Excellent intraobserver reliability was achieved (κ=0.923).
• Larger compression zones and moderate/high ossification (m/h) correlated with longer operative times and increased blood loss. Lower preoperative JOA scores were noted in degree 'b' compression.

Conclusions:

• The CCS provides objective and reliable descriptions of neurological compression in CDD.
• The system aids in identifying complex cases requiring heightened surgical attention, such as those with large compression zones, degree 'b' compression, or ossification.
• The CCS facilitates better surgical planning and risk assessment for cervical degenerative disease.