From the Research
Aspect scoring in CT refers to the quantitative assessment of specific features or aspects of computed tomography (CT) images to evaluate disease severity or progression, with the most common system being the Alberta Stroke Program Early CT Score (ASPECTS) 1.
Definition and Purpose
Aspect scoring is a systematic approach used by radiologists to evaluate CT images, focusing on specific anatomical regions defined by the scoring system. The primary goal is to assess disease severity or progression, guiding treatment decisions and improving patient outcomes.
Key Considerations
- The ASPECTS system evaluates 10 regions in the middle cerebral artery territory to assess early ischemic changes in acute stroke 1.
- Each region is assigned a score of 0 (abnormal) or 1 (normal), with a total score ranging from 0-10, where 10 indicates a normal CT scan and 0 indicates diffuse ischemia.
- Aspect scoring should be performed on non-contrast CT images within a specific time frame from symptom onset to guide treatment decisions, particularly regarding thrombolysis or thrombectomy.
Importance of Iterative Reconstruction
- Iterative reconstruction algorithms, such as model-based iterative reconstruction (MBIR), have been shown to improve image quality and reduce radiation dose in CT imaging 2, 3, 1.
- These algorithms can help overcome traditional limitations in CT imaging, enabling the use of lower radiation doses while maintaining diagnostic image quality.
Clinical Applications
- Aspect scoring has significant implications for clinical practice, particularly in the management of acute stroke patients 1.
- The use of iterative reconstruction algorithms can further enhance the diagnostic accuracy and effectiveness of aspect scoring in CT imaging.