Prediction of Malignant Middle Cerebral Artery Infarction in Elderly Patients

Yuko Goto1, Eiji Kumura2, Tadashi Watabe3

  • 1Department of Neuromodulation and Neurosurgery, Osaka University Graduate School of Medicine, Osaka, Japan; Department of Neurosurgery, Osaka University Graduate School of Medicine, Osaka, Japan.

Abstract

Insights

Malignant middle cerebral artery (MCA) infarction (MMI) can be predicted in elderly patients using diffusion-weighted high-intensity volume (DHV) and brain volume (BV) ratios. These metrics reliably identify MMI, aiding in early diagnosis and management.

Area of Science:

  • Neurology
  • Radiology
  • Geriatrics

Background:

  • Malignant middle cerebral artery (MCA) infarction (MMI) poses significant risks, particularly in elderly patients.
  • Accurate prediction of MMI is crucial for timely clinical intervention and improved patient outcomes.

Purpose of the Study:

  • To evaluate the clinical outcomes associated with MMI in elderly patients.
  • To establish a threshold value for infarcted brain volume (BV) to accurately predict MMI.

Main Methods:

  • Analysis of 69 elderly patients with internal carotid artery or MCA infarction within 48 hours of onset.
  • Measurement of diffusion-weighted high-intensity volume (DHV) and total brain volume (BV).
  • Calculation of the DHV/BV ratio and comparison of clinical data (GCS, mRS) between MMI and non-MMI groups, stratified by age.

Main Results:

  • The MMI group exhibited significantly larger DHV values and DHV/BV ratios compared to the non-MMI group.
  • A DHV threshold of 102 cm³ (85% sensitivity, 91% specificity) and a DHV/BV ratio of 7.8% (86% sensitivity, 87% specificity) accurately predicted MMI.
  • Clinical outcomes (mRS scores) were similarly poor in both younger and older MMI patient groups.

Conclusions:

  • Diffusion-weighted high-intensity volume (DHV) and the DHV/BV ratio are reliable indicators for predicting malignant middle cerebral artery infarction (MMI) in elderly individuals.
  • These imaging metrics can aid in the early identification of MMI, facilitating prompt clinical management.
  • The predictive value of DHV and DHV/BV ratio holds true across different age strata within the elderly population.

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