Comparison between postprocessing techniques in the analysis of hepatic arteries using multi-detector-row computed...

Area of Science:

• Radiology
• Medical Imaging
• Vascular Imaging

Background:

• Hepatic artery assessment is crucial for diagnosing and managing liver diseases.
• Various postprocessing techniques exist for multi-detector-row computed tomography angiography (MDCT-CTA).

Purpose of the Study:

• To compare four postprocessing techniques: maximum-intensity projection (MIP), multiplanar reconstruction (MPR), curved planar reconstruction (CPR), and volume rendering (VR).
• To evaluate image quality and inter/intraobserver agreement for hepatic artery analysis using these techniques.

Main Methods:

• Retrospective analysis of 137 patients undergoing MDCT-CTA.
• Evaluation of image quality and calculation of interobserver and intraobserver agreement using Cohen statistics for each reconstruction method.

Main Results:

• High interobserver agreement for common hepatic artery measurements (Pearson r = 0.88).
• Volume rendering (VR) demonstrated good agreement (Cohen κ = 0.78).
• Maximum-intensity projection (MIP) yielded the highest image quality scores for observer 1, while both VR and MIP were favored by observer 2.

Conclusions:

• Maximum-intensity projection (MIP) and volume rendering (VR) offer optimal interobserver and intraobserver agreement.
• These techniques also achieve the highest quality scores for hepatic artery analysis.
• MIP and VR are recommended as preferred postprocessing techniques for hepatic artery evaluation in MDCT-CTA.