Computed tomography perfusion stroke mimics on RAPID commercial software: A case-based review.

Area of Science:

• Neurology
• Radiology
• Medical Imaging

Background:

• Acute ischemic stroke (AIS) presents with nonspecific symptoms, complicating diagnosis and leading to misdiagnosis in up to 50% of hospital admissions.
• Accurate and timely diagnosis of AIS is critical due to the risks associated with stroke therapies and the need to prevent adverse outcomes in patients with stroke mimics.
• Computed tomography (CT) perfusion techniques offer a method to distinguish between irreversibly damaged brain tissue (infarct core) and the surrounding ischemic but potentially salvageable tissue (penumbra).

Purpose of the Study:

• To demonstrate the utility of RAPID, an automated CT perfusion software, in distinguishing between acute ischemic stroke (AIS) and stroke mimics.
• To showcase the application of RAPID in facilitating rapid and accurate diagnosis of AIS in a clinical setting.
• To provide a case-based review illustrating the effectiveness of automated CT perfusion imaging in stroke diagnosis.

Main Methods:

• Utilized a case-based review approach to illustrate the diagnostic process.
• Employed RAPID, an operator-independent, automated CT perfusion imaging software.
• Analyzed CT perfusion data to differentiate between ischemic stroke and stroke mimics.

Main Results:

• RAPID software demonstrated effectiveness in differentiating acute ischemic stroke (AIS) from stroke mimics.
• Automated CT perfusion imaging aided in the rapid and accurate diagnosis of AIS.
• The software's operator-independent nature facilitates consistent application in clinical practice.

Conclusions:

• Automated CT perfusion software like RAPID can significantly improve the accuracy and speed of diagnosing acute ischemic stroke (AIS).
• Distinguishing AIS from stroke mimics is crucial for appropriate patient management and preventing unnecessary treatment risks.
• RAPID offers a valuable tool for clinicians managing patients with suspected stroke, enhancing diagnostic confidence and patient care.