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

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  • 1

    Mechanical thrombectomy improves outcomes in ischemic stroke from large vessel occlusion, yet about 50% of patients do not achieve functional autonomy.

  • 2

    The modified Small Vessel Disease score was found to be a significant independent predictor of unfavorable outcomes after thrombectomy.

  • 3

    In a cohort of 351 patients, severe mSVD (score = 3) correlated with an 84.47% likelihood of poor outcomes post-thrombectomy.

  • 4

    The mSVD score outperformed the Brain Frailty Score and individual CT markers in predicting 90-day outcomes, with an AUC of 0.904.

  • 5

    Incorporating mSVD into initial CT assessments may enhance risk stratification and guide treatment decisions for stroke patients.

Original Source(s)

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

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