Computed tomography perfusion in detecting malignant middle cerebral artery infarct

Area of Science:

• Neurology
• Radiology
• Medical Imaging

Background:

• Computed tomography perfusion (CTP) is an advanced imaging technique.
• CTP generates maps of time-to-peak (TTP), cerebral blood flow (CBF), and cerebral blood volume (CBV).
• It aids in evaluating infarct extent and identifying penumbra in large middle cerebral artery (MCA) infarctions.

Purpose of the Study:

• To assess the utility of CTP in predicting malignant brain infarction (MBI).
• To evaluate CTP parameters for early identification and surgical treatment of large MCA infarctions.

Main Methods:

• A prospective cohort study included patients with large MCA infarction within 48 hours of onset.
• Patients underwent CT brain and CTP scans upon admission.
• Follow-up determined the development of malignant infarction requiring surgical decompression.

Main Results:

• CTP parameters were lower in the MBI group compared to the non-MBI group, with TTP showing the largest mean difference (P = 0.005).
• CTP parameters demonstrated high positive predictive (83%-90%) and net present (88-93%) values.
• CBF cutoff (>32.85) predicted MBI in 81.4% of cases; NIH Stroke Scale (>13.5) predicted MBI in 97.6%.

Conclusions:

• CTP parameters are crucial for initial evaluation of patients with large MCA infarctions.
• Incorporating CTP aids in predicting malignant brain infarction and facilitates timely surgical intervention.
• Early identification and treatment using CTP can improve patient prognosis.