Spine Injury Classification System Research Articles

Is it true that treatment in patients with Subaxial Cervical Spine Injury Classification System (SLICS) 4 is the surgeon's choice?

The Subaxial Cervical Spine Injury Classification System (SLICS) is a commonly used algorithm for diagnosing and managing subaxial cervical spine trauma. A SLIC score 4 suggests either surgery or non-surgically treatment depending on the surgeon's experience and patient's conditions. Prognosis and treatment results were analyzed in patients with SLIC score 4. The patients with SLIC score 4 were retrospectively reviewed from 2012 to 2019. Forty-one patients were included and divided into two groups: non-surgically treated and surgically treated. Demographic data and radiographs were analyzed. Statistical analysis was performed to determine the difference between the two clinical groups. Twenty-two patients were non-surgically treated, and nineteen patients were surgically treated. There was no neurological deterioration in both groups. However, there was no statistically significant difference in the last follow-up AISA and Nurick grade (p> 0.05). There was no significant difference in the number of patients who showed improvement when comparing the initial and the last follow-up neurological status (p> 0.05). Regardless of the treatment method, the spinal cord injury patients with SLICS point 4 showed a relatively good prognosis. Patients with SLIC score 4 could be treated non-surgically or surgically based on the surgeon's experience and factors associated with the patient's acute health status and chronic comorbidities.

Subaxial Cervical Spine Injuries: WFNS Spine Committee Recommendations.

To formulate specific guidelines for the recommendation of subaxial cervical spine injuries concerning classification, management, posttraumatic locked facets and vertebral artery injury. Computerized literature was searched on PubMed and google scholar database from 2009 to 2020. For classification, keywords “Sub Axial Cervical Spine Classification,” resulting in 22 articles related to subaxial cervical spine injury classification system (SLICS) system and 11 articles related to AO (Arbeitsgemeinschaft für Osteosynthesefragen, German for “Association for the Study of Internal Fixation”) Spine system. The literature search yielded 210 and 78 articles on “management of subaxial cervical spine injuries” and the role of “SLICS” and “AO Spine” respectively. Keywords “management of traumatic facet locks” were searched and closed reduction, traction, approaches and techniques were studied. “Vertebral artery injury and cervical fracture” exhibited 2,328 references from the last 15 years. The objective was to identify the appropriate diagnostic tests and optimal treatment. Up-to-date information was reviewed, and statements were produced to reach a consensus in 2 separate consensus meetings of World Federation of Neurosurgical Societies (WFNS) Spine Committee. The statements were voted and reached a positive or negative consensus using Delphi method. Based on the most relevant literature, panelists in Moscow consensus meeting conducted in May 2019 drafted the statements, and after a preliminary voting session, the consensus was identified on various statements. Another meeting was conducted at Peshawar in November 2019, where in addition to previous statements, few other statements were discussed and voted. Specific recommendations were then formulated guiding classification, management, locked facets and vertebral artery injuries. This review summarizes the WFNS Spine Committee recommendations on subaxial cervical spine injuries.

Occult subaxial cervical disco-ligamentous injuries in computer tomography negative trauma patients.

Due to lack of cervical clearance consensus in literature and the devastating consequences of missed cervical injuries, Magnetic resonance imaging (MRI) of the neurologically intact symptomatic patient with negative CT scan is frequently done to rule out disco-ligamentous injuries. This study retrospectively evaluates occult disco-ligamentous injuries detected by MRI in patients with no abnormalities detected by modern multi-detector CT scanning and postulates a new theory of ligamentous stability of cervical spine. Cervical spine injury patients treated at a spinal trauma referral centre from 2010 to 2013 were retrospectively identified. Available clinical records and radiographic imaging were reviewed to find neurologically intact symptomatic patients with no identifiable acute cervical spine injury on CT scan but MRI evidence of isolated subaxial disco-ligamentous injuries. Patient demographics, injury profile, and treatment details were extracted. Subaxial Cervical Spine Injury Classification (SLIC) and Denis three-column spinal stability theory were adopted to assess stability of injuries. 316/566 cervical spinal admissions had CT and MRI scans. 11 (3.5%) CT negative patients were found to have occult discoligamentous injuries on MRI. The average age (51.1years) was not significantly different to all cervical trauma admissions (p=0.09). Eight had flexion type and three had extension type injuries. The most common mechanisms were sports and fall on flat surface. The average SLIC score was 3.1. Four patients were classified as having unstable or potentially unstable injuries (two patients each) and three of these patients were surgically managed. Subtle CT changes to indicate discoligamentous injury could be retrospectively identified in all four of these patients. CT scans alone may be inadequate for clearing occult disco-ligamentous injuries of the subaxial cervical spine in trauma. Denis three-column stability theory may be beneficial in determining stability and guiding treatment along with the SLIC system for occult discoligamentous injuries of the subaxial cervical spine.

Reliability of the evaluation of posterior ligamentous complex injury in thoracolumbar spine trauma with the use of computed tomography scan.

The AOSpine thoracolumbar (TL) spine injury classification system is based mainly on computed tomography (CT). The main purpose of this study was to evaluate the reliability of CT scan in the diagnosis of posterior ligamentous complex (PLC) injury in thoracolumbar spine trauma (TLST). We performed a cross-sectional study of 43 patients with TLST. CT scans were evaluated independently by three spine surgeons on two separate occasions, 2 months apart. The reliability of PLC injury parameters was assessed by the Kappa coefficient (κ) and the average percentage of these parameters was established. Injuries were classified according to the AOSpine classification as type A (compression), B (anterior and/or posterior tension band injuries) or C (dislocation) injury and the reliability of the classification was calculated. On average, PLC injury was identified in 91.4% of type B or C injuries. Tension band injury and dislocation were found in 90.5% of type B and 93.2% of type C injuries. The intraobserver reliability for the PLC injury parameters ranged from 0.518 to 1.000, except for increased interspinous distance (IID). Interobserver reliability ranged from 0.303 to 0.688. When the patients were evaluated as a whole, dislocation showed the highest κ (0.656 and 0.688). When type A or B injuries were assessed, the highest κ were found for IID (0.533 and 0.511) and tension band injury (0.486 and 0.452). The κ for AOSpine classification was 0.526 and 0.645 in both assessments. In this study, the use of CT scan as the only diagnostic tool could identify PLC injury in most cases and demonstrated satisfactory reliability. Dislocation could satisfactorily diagnose type C injury, while IID was the best parameter to differentiate between type A and B injuries.

Limitation of previous Allen classification and subaxial cervical spine injury classification (SLIC) system in distractive-extension injury of cervical spine: proposal of modified classification system.

To verify the clinical applicability of a modified classification system in distractive-extension cervical spine injury that reflects the degrees of soft tissue damage and spinal cord injury while complementing previous Allen classification and subaxial cervical spine injury classification (SLIC) system. A total of 195 patients with cervical spine distraction-extension (DE) injury were retrospectively classified. We added stages IIIA (with concomitant spinal cord injury without bony abnormalities) and IIIB (with concomitant additional soft tissue swelling) to the existing stages I and II of the Allen classification. We also supplemented the SLIC system by refining and assigning scores to bony morphology and soft tissue damage. The previous and proposed classification systems were compared by analyzing their scoring performances in terms of clinical features and prognosis. The Allen classification yielded 153 and 42 patients with stage 1 and 42 stage 2 injuries, respectively. Patients classified according to the proposed system were stratified as follows: stage I, 58; stage II, 27; stage IIIA, 33; and stage IIIB, 77. Regarding neurological symptoms and prognosis, stages IIIA and IIIB were poorer than stage I but significantly better than stage II (P < 0.05). On the SLIC system, 146 patients scored ≥5; and 37 and 12 patients scored 4 and ≤3 points, respectively, whereas the numbers of patients who scored ≥5, 4, and ≤3 points on the modified SLIC system were 170, 21, and 4, respectively. The proposed classification and scoring system to complement the Allen classification and SLIC system with respect to the degrees of soft tissue damage and spinal cord injury is considered effective for diagnosing and determining therapeutic directions and prognosis in cases of cervical spine extension injury.

Evaluation of the SLICS use in the treatment of subaxial cervical spine injuries

The SLICS (Sub-axial Cervical Spine Injury Classification System) was proposed to help in the decision-making of sub-axial cervical spine trauma (SCST), even though the literature assessing its safety and efficacy is scarce. We compared a cohort series of patients surgically treated based on surgeon's preference with patients treated based on the SLICS. From 2009-10, 12 patients were included. The SLICS score ranged from 2 to 9 points (mean of 5.5). Two patients had the SLICS < 4 points. From 2011-13, 28 patients were included. The SLICS score ranged from 4 to 9 points (mean of 6). There was no neurological deterioration in any group. After using the SLICS there was a decrease in the number of patients with less severe injuries that were treated surgically. This suggests that the SLICS can be helpful in differentiating mild from severe injuries, potentially improving the results of treatment.

Subaxial cervical spine injury classification system: is it most appropriate for classifying cervical injury?

Subaxial cervical spine injury classification system: is it most appropriate for classifying cervical injury?

The Subaxial Cervical Spine Injury Classification System: an external agreement validation study

Background contextIn 2007, the Subaxial Cervical Spine Injury Classification (SLIC) system was introduced demonstrating moderate reliability in an internal validation study. PurposeTo assess the agreement on the SLIC system using clinical data from a spinal trauma population and whether the SLIC treatment algorithm outcome improved agreement on treatment decisions among surgeons. Study designAn external classification validation study. Patient sampleTwelve spinal surgeons (five consultants and seven fellows) assessed 51 randomly selected cases. Outcome measuresRaw agreement, Fleiss kappa, and intraclass correlation coefficient statistics were used for reliability analysis. Majority rules and latent class modeling were used for accuracy analysis. MethodsFifty-one randomly selected cases with significant injuries of the cervical spine from a prospective consecutive series of trauma patients were assessed using the SLIC system. Neurologic details, plain radiographs, and computed tomography scans were available for all cases as well as magnetic resonance imaging in 21 cases (41%). No funds were received in support of this study. The authors have no conflict of interest in the subject of this article. ResultsThe inter-rater agreement on the most severely affected level of injury was strong (κ=0.76). The agreement on the morphologic injury characteristics was poor (κ=0.29) and agreement on the integrity of the discoligamentous complex was average (κ=0.46). The inter-rater agreement on the treatment verdict after the total SLIC injury severity score was slightly lower than the surgeons' agreement on personal treatment preference (κ=0.55 vs. κ=0.63). Latent class analysis was not converging and did not present accurate estimations of the true classification categories. Based on these findings, no second survey for testing intrarater agreement was performed. ConclusionsWe found poor agreement on the morphologic injury characteristics of the SLIC system, and its treatment algorithm showed no improved agreement on treatment decisions among surgeons. The authors discuss that the reproducibility of the SLIC system is likely to improve when unambiguous true morphologic injury characteristics are being implemented.