Modified small vessel disease score as the top predictor of stroke outcome after thrombectomy: a CT-based machine learning study - Summary - MDSpire

Modified small vessel disease score as the top predictor of stroke outcome after thrombectomy: a CT-based machine learning study

  • By

  • Thiago Oscar Goulart

  • Rui Kleber do Vale Martins-Filho

  • Millene Rodrigues Camilo

  • Daniel Giansante Abud

  • Octávio Marques Pontes-Neto

  • June 23, 2026

  • 0 min

Share

Objective:

To assess the impact of the modified Small Vessel Disease (mSVD) score and Brain Frailty Score (BFS) on 90-day outcomes in individuals with acute ischemic stroke due to large vessel occlusion undergoing mechanical thrombectomy.

Approach:
    Key Findings:
    • Advanced age, elevated NIHSS, systolic blood pressure, glycemia, and increased severity of leukoaraiosis and atrophy were linked to adverse outcomes.
    • Severe mSVD (score = 3) was an independent predictor of unfavorable outcomes (OR = 3.267; CI: 1.731–6.168; p = 0.009).
    • mSVD outperformed BFS and individual CT indicators in predicting outcomes (AUC = 0.904 vs. 0.889/0.898; DeLong p < 0.05).
    • Increased mSVD scores correlated with decreased likelihood of favorable outcomes post-thrombectomy.
    Interpretation:

    The mSVD score is identified as a significant predictor of post-thrombectomy outcomes, surpassing BFS and standalone imaging indicators.

    Limitations:
    • The study was conducted in a single middle-income nation, which may limit generalizability.
    • The analysis was based on a specific cohort with anterior circulation LVO, potentially excluding other stroke types.
    Conclusion:

    Incorporating mSVD into initial CT assessments may enhance understanding of risk factors for patients undergoing mechanical thrombectomy.

Original Source(s)

Related Content