Aortic valve calcification scoring with computed tomography: impact of iterative reconstruction techniques

Area of Science:

• Cardiology
• Radiology
• Medical Imaging

Background:

• Aortic stenosis (AS) is a significant cardiovascular condition.
• Accurate assessment of aortic valve calcification (AVC) is crucial for AS diagnosis and management.
• Computed tomography (CT) is widely used for AVC scoring.

Purpose of the Study:

• To evaluate the impact of iterative reconstruction (IR) image processing on AVC scoring.
• To determine if IR affects the likelihood categorization of severe AS.
• To compare IR with filtered back projection (FBP) for AVC assessment.

Main Methods:

• Retrospective study of 100 patients with AS undergoing pre-transcatheter aortic valve replacement CT.
• CT images were reconstructed using FBP and advanced modeled IR (levels 1-5).
• AVC Agatston scores were calculated and categorized using European Society of Cardiology guidelines.

Main Results:

• IR significantly altered AVC Agatston scores compared to FBP (p < 0.001-0.002).
• Increasing IR strength levels progressively decreased median AVC scores.
• IR strength level 5 resulted in a downward shift in AS likelihood categorization for 28% of patients.

Conclusions:

• Iterative reconstruction significantly impacts AVC scoring in patients with severe AS.
• Higher IR strengths lead to decreased AVC scores, potentially underestimating AS severity.
• Changes in categorization due to IR may affect clinical decision-making for AS management.