2026 Development of a Modified Radiographic Spinal Instability Neoplastic Score (rSINS): Towards Earlier Referral and Management of Metastatic Spine Tumors

INTRODUCTION: The Spinal Instability Neoplastic Score (SINS) is an 18-point index used to identify patients with metastatic spinal tumors who may benefit from surgical referral. SINS categorizes patients according to stability using six variables: lesion location, lesion quality, spinal alignment, vertebral collapse, posterolateral element involvement, and mechanical pain. A modified SINS that can be evaluated on imaging could be used as a screening tool by radiologists to facilitate earlier referral, particularly for intermediate SINS (“potentially unstable”) cases. METHODS: Patients who underwent surgery for metastatic spinal tumor (2015–2022) were retrospectively included. SINS was evaluated for all cases. A 5-variable rSINS was evaluated without the pain variable. Concordance (% agreement) between SINS and rSINS and Kendall’s W coefficient were calculated to determine optimal rSINS thresholds for “potentially unstable” and “unstable.” Three- and two-variable SINS scores were also evaluated for comparison. RESULTS: Across 102 patients, mean SINS was 9.7 (range 2–17; 12.8% SINS 0-6, 68.6% SINS 7-12, 18.6% SINS 13-18). After optimization, rSINS thresholds of 0-4 (“stable”), 5-9 (“potentially unstable”), and 10-15 (“unstable”) demonstrated 95.1% concordance and similarity (p=0.016) with the original SINS. The resulting corresponding updated rSINS classification was 13.7% (0-4), 65.7% (5-9), and 20.6% (10-15). Overall, 94.2% (66/70) of SINS 7-12 patients remained in the “potentially unstable” category, with 2 total patients moving up a category and 2 moving down. A 2-variable rSINS (only alignment and vertebral collapse) had concordance of 74.5%, with optimized thresholds of 1-3 (“potentially unstable”) and 4-7 (“unstable”). A 3-variable SINS (re-including pain) identified 14/19 unstable patients (SINS 13-18) with a sensitivity of 73.7%. CONCLUSIONS: A 5-point modified version of SINS evaluable entirely from imaging had 95.1% concordance with the original 6-point SINS. Further reduced versions had weaker agreement.

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Publication Details

Journal
Neurosurgery
Published
2025-03-14
DOI
https://doi.org/10.1227/neu.0000000000003360_2026
Primary Topic
Management of metastatic bone disease
Type
article
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article

2026 Development of a Modified Radiographic Spinal Instability Neoplastic Score (rSINS): Towards Earlier Referral and Management of Metastatic Spine Tumors

Tianyi Niu, Rahul A. Sastry, Owen P. Leary, Christian Schroeder et al.
Neurosurgery
Management of metastatic bone disease
article

2026 Development of a Modified Radiographic Spinal Instability Neoplastic Score (rSINS): Towards Earlier Referral and Management of Metastatic Spine Tumors

Tianyi Niu, Rahul A. Sastry, Owen P. Leary, Christian Schroeder, Albert E. Telfeian, Jared Fridley, Cameron Ayala, Oliver Y. Tang, Adetokunbo A. Oyelese, Patricia Zadnik Sullivan, Joaquin Camara‐Quintana, Ziya L. Gokaslan, Srushti Kulkarni
article en

Abstract

INTRODUCTION: The Spinal Instability Neoplastic Score (SINS) is an 18-point index used to identify patients with metastatic spinal tumors who may benefit from surgical referral. SINS categorizes patients according to stability using six variables: lesion location, lesion quality, spinal alignment, vertebral collapse, posterolateral element involvement, and mechanical pain. A modified SINS that can be evaluated on imaging could be used as a screening tool by radiologists to facilitate earlier referral, particularly for intermediate SINS (“potentially unstable”) cases. METHODS: Patients who underwent surgery for metastatic spinal tumor (2015–2022) were retrospectively included. SINS was evaluated for all cases. A 5-variable rSINS was evaluated without the pain variable. Concordance (% agreement) between SINS and rSINS and Kendall’s W coefficient were calculated to determine optimal rSINS thresholds for “potentially unstable” and “unstable.” Three- and two-variable SINS scores were also evaluated for comparison. RESULTS: Across 102 patients, mean SINS was 9.7 (range 2–17; 12.8% SINS 0-6, 68.6% SINS 7-12, 18.6% SINS 13-18). After optimization, rSINS thresholds of 0-4 (“stable”), 5-9 (“potentially unstable”), and 10-15 (“unstable”) demonstrated 95.1% concordance and similarity (p=0.016) with the original SINS. The resulting corresponding updated rSINS classification was 13.7% (0-4), 65.7% (5-9), and 20.6% (10-15). Overall, 94.2% (66/70) of SINS 7-12 patients remained in the “potentially unstable” category, with 2 total patients moving up a category and 2 moving down. A 2-variable rSINS (only alignment and vertebral collapse) had concordance of 74.5%, with optimized thresholds of 1-3 (“potentially unstable”) and 4-7 (“unstable”). A 3-variable SINS (re-including pain) identified 14/19 unstable patients (SINS 13-18) with a sensitivity of 73.7%. CONCLUSIONS: A 5-point modified version of SINS evaluable entirely from imaging had 95.1% concordance with the original 6-point SINS. Further reduced versions had weaker agreement.

NeurosurgeryVol. 71(Supplement_1)
Openalex Percentile: Top 92%
Management of metastatic bone disease
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