ADC quantification in basilar artery occlusion as an indicator of clinical outcome after endovascular treatment

Daniela Pereira1, Isabel Fragata2, José Amorim3

  • 11 Centro Hospitalar e Universitário de Coimbra, Portugal.

Insights

Baseline apparent diffusion coefficient (ADC) quantification on MRI can predict clinical outcomes in patients with basilar artery occlusion (BAO) undergoing endovascular treatment (EVT). Lower ADC values indicate worse prognosis, aiding patient selection for EVT.

Area of Science:

  • Neurology
  • Radiology
  • Interventional Neuroradiology

Background:

  • Basilar artery occlusion (BAO) stroke has a poor prognosis, with endovascular treatment (EVT) offering improved outcomes.
  • Patient selection for EVT in BAO remains challenging, often leading to futile recanalization.

Purpose of the Study:

  • To investigate the prognostic value of baseline apparent diffusion coefficient (ADC) quantification in patients with BAO undergoing EVT.
  • To determine if ADC quantification can improve patient selection and predict clinical outcomes after EVT for BAO.

Main Methods:

  • Retrospective analysis of 11 patients with BAO undergoing EVT.
  • MRI at admission included diffusion-weighted imaging (DWI) for quantification of minimum ADC (minADC), ADC ratio, and total ischemic lesion area.
  • Clinical outcomes assessed using NIHSS and modified Rankin Scale (mRS) at discharge and 3 months.

Main Results:

  • Lower baseline minADC values strongly correlated with higher NIHSS and mRS scores at discharge.
  • A negative correlation was observed between minADC and NIHSS at admission, mRS at 3 months, and infarct expansion, though some lost significance after FDR correction.
  • Ischemic area and TICI grade showed no significant association with clinical outcomes.

Conclusions:

  • Baseline ADC quantification of ischemic lesions on MRI appears to be a significant predictor of clinical outcomes in BAO patients undergoing EVT.
  • ADC quantification may be more valuable than ischemic area or TICI grade for predicting outcomes in this patient population.