Rapid prediction of hemorrhagic transformation after endovascular thrombectomy: a multimodal model in patients with post-thrombectomy cerebral hyperdensities - Scorecard - MDSpire

Rapid prediction of hemorrhagic transformation after endovascular thrombectomy: a multimodal model in patients with post-thrombectomy cerebral hyperdensities

  • By

  • Ziwen Wang

  • Guolan Song

  • Ying Tang

  • Jiahong Xu

  • Junli Wang

  • Qingdian Cong

  • Jingjing Fu

  • Yue Wang

  • Jibo Hu

  • Leling Tu

  • Song Cheng

  • Jian Ding

  • Sheng Hu

  • July 7, 2026

  • 0 min

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Clinical Scorecard: Swift Assessment of Hemorrhagic Transformation Risk Following Endovascular Thrombectomy: A Multimodal Deep Learning Approach in Patients with Post-Thrombectomy Cerebral Hyperdensities

At a Glance

CategoryDetail
ConditionHemorrhagic Transformation (HT)
Key MechanismsPost-thrombectomy cerebral hyperdensities (PCHD) indicating blood-brain barrier disruption.
Target PopulationPatients with acute ischemic stroke undergoing endovascular thrombectomy.
Care SettingMulticenter stroke centers

Key Highlights

  • 70.5% incidence of HT after EVT in the study cohort.
  • Fusion_Transformer model achieved AUC of 0.803 in predicting HT.
  • Automated model outperformed human neuroradiologists in HT prediction.

Guideline-Based Recommendations

Diagnosis

  • Utilize non-contrast CT to assess for post-thrombectomy cerebral hyperdensities.

Management

  • Implement intensive neuromonitoring and hemodynamic optimization for high-risk patients.

Monitoring & Follow-up

  • Monitor patients closely within the first 24 hours post-EVT for signs of HT.

Risks

  • HT is associated with poorer functional outcomes following EVT.

Patient & Prescribing Data

393 patients with post-thrombectomy cerebral hyperdensities.

Early identification of high-risk patients is crucial for effective management.

Clinical Best Practices

  • Integrate multimodal data for comprehensive risk assessment.
  • Focus on specific imaging signatures to enhance predictive accuracy.

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