Spinal Instability Neoplastic Score: An Analysis of Reliability and Validity From the Spine Oncology Study Group

Daryl R. Fourney(Royal University Hospital), Evan Frangou(Royal University Hospital), Timothy C. Ryken(Royal University Hospital), Christian P. DiPaola(Royal University Hospital), Christopher I. Shaffrey(Royal University Hospital), Sigurd Berven(Royal University Hospital), Mark H. Bilsky(Royal University Hospital), James S. Harrop(Royal University Hospital), Michael G. Fehlings(Royal University Hospital), Stefano Boriani(Royal University Hospital), Dean Chou(Royal University Hospital), Meic H. Schmidt(Royal University Hospital), David W. Polly(Royal University Hospital), R. Biagini(Royal University Hospital), Shane Burch(Royal University Hospital), Mark B. Dekutoski(Royal University Hospital), Aruna Ganju(Royal University Hospital), Peter C. Gerszten(Royal University Hospital), Ziya L. Gokaslan(Royal University Hospital), Michael W. Groff(Royal University Hospital), Norbert J. Liebsch(Royal University Hospital), Ehud Mendel(Royal University Hospital), Scott H. Okuno(Royal University Hospital), Shreyaskumar Patel(Royal University Hospital), Laurence D. Rhines(Royal University Hospital), Peter S. Rose(Royal University Hospital), Daniel M. Sciubba(Royal University Hospital), Narayan Sundaresan(Royal University Hospital), Katsuro Tomita(Royal University Hospital), Péter Varga(Royal University Hospital), Luiz Roberto Vialle(Royal University Hospital), Frank D. Vrionis(Royal University Hospital), Yoshiya Yamada(Royal University Hospital), Charles G. Fisher(Royal University Hospital)
Journal of Clinical Oncology
June 28, 2011
Cited by 538Open Access
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Abstract

PURPOSE: Standardized indications for treatment of tumor-related spinal instability are hampered by the lack of a valid and reliable classification system. The objective of this study was to determine the interobserver reliability, intraobserver reliability, and predictive validity of the Spinal Instability Neoplastic Score (SINS). METHODS: Clinical and radiographic data from 30 patients with spinal tumors were classified as stable, potentially unstable, and unstable by members of the Spine Oncology Study Group. The median category for each patient case (consensus opinion) was used as the gold standard for predictive validity testing. On two occasions at least 6 weeks apart, each rater also scored each patient using SINS. Each total score was converted into a three-category data field, with 0 to 6 as stable, 7 to 12 as potentially unstable, and 13 to 18 as unstable. RESULTS: The κ statistics for interobserver reliability were 0.790, 0.841, 0.244, 0.456, 0.462, and 0.492 for the fields of location, pain, bone quality, alignment, vertebral body collapse, and posterolateral involvement, respectively. The κ statistics for intraobserver reliability were 0.806, 0.859, 0.528, 0.614, 0.590, and 0.662 for the same respective fields. Intraclass correlation coefficients for inter- and intraobserver reliability of total SINS score were 0.846 (95% CI, 0.773 to 0.911) and 0.886 (95% CI, 0.868 to 0.902), respectively. The κ statistic for predictive validity was 0.712 (95% CI, 0.676 to 0.766). CONCLUSION: SINS demonstrated near-perfect inter- and intraobserver reliability in determining three clinically relevant categories of stability. The sensitivity and specificity of SINS for potentially unstable or unstable lesions were 95.7% and 79.5%, respectively.


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