CT perfusion in stroke: Comparing conventional and RAPID automated software.

Area of Science:

• Neuroradiology
• Medical Imaging
• Stroke Imaging

Background:

• CT perfusion (CTP) imaging is vital for evaluating acute ischemic stroke.
• Understanding CTP software, acquisition, processing, and interpretation is key for selecting patients for reperfusion therapy.

Purpose of the Study:

• To review the technical principles of CTP imaging.
• To compare CTP maps from conventional and RAPID software.
• To discuss reperfusion thresholds and prognostic indices.

Main Methods:

• Comparison of conventional CTP software (using CBV, MTT, TTP) and RAPID software (using CBF, Tmax).
• Discussion of prognostic indices like hypoperfusion and CBV index.
• Identification of common interpretation pitfalls.

Main Results:

• Conventional software uses reduced cerebral blood volume (CBV) and elevated time parameters (MTT, TTP) to differentiate infarct core and penumbra.
• RAPID software uses reduced cerebral blood flow (CBF) and elevated time to maximum (Tmax) for differentiation.
• RAPID software provides prognostic indices.

Conclusions:

• Accurate CTP interpretation requires knowledge of different software algorithms and parameters.
• Understanding thresholds and prognostic indices is crucial for effective reperfusion therapy.
• Awareness of common pitfalls enhances diagnostic accuracy in acute stroke imaging.