1. Comparison Between Postprocessing Techniques in the Analysis of Hepatic Arteries Using Multi-Detector-Row Computed Tomography Angiography
- Author
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Michele Anzidei, Luca Saba, L. Pascalis, Giorgio Mallarini, Roberto Sanfilippo, and Roberto Montisci
- Subjects
Adult ,Male ,medicine.medical_specialty ,Image quality ,Contrast Media ,Sensitivity and Specificity ,Young Adult ,symbols.namesake ,Hepatic Artery ,medicine.artery ,Hounsfield scale ,Humans ,Medicine ,Radiology, Nuclear Medicine and imaging ,Aged ,Computed tomography angiography ,Aged, 80 and over ,medicine.diagnostic_test ,Common hepatic artery ,business.industry ,Angiography ,Reproducibility of Results ,Volume rendering ,Middle Aged ,Pearson product-moment correlation coefficient ,Iopamidol ,Radiographic Image Enhancement ,symbols ,Radiographic Image Interpretation, Computer-Assisted ,Female ,Radiology ,Tomography, X-Ray Computed ,business ,Algorithms - Abstract
PURPOSE: Our purpose was to compare 4 different postprocessing techniques (maximum-intensity projection [MIP], multiplanar reconstruction, curved planar reconstruction, and volume rendering [VR]) for the study of hepatic arteries. METHODS: One hundred thirty-seven patients who underwent multi-detector-row computed tomography angiography between August 2009 and January 2010 were retrospectively analyzed. For each patient and for each reconstruction method, the image quality was evaluated and the interobserver and intraobserver agreement was calculated according to Cohen statistics. RESULTS: The Pearson r between the observers for the common hepatic artery measurement (Hounsfield unit) was good (r = 0.88). The VR showed a Cohen κ value of 0.78, and the highest image-quality score was obtained using MIP (total value, 384; mean value, 3.01) for observer 1 and using VR and MIP for observer 2 (mean value of 2.94). CONCLUSIONS: Maximum-intensity projection and VR showed the optimal interobserver and intraobserver agreement and the highest quality scores and therefore should be used as postprocessing techniques when analyzing the hepatic arteries.
- Published
- 2011