Evaluation of Adaptive Statistical Iterative Reconstruction-V Reconstruction Algorithm vs Filtered Back Projection in the Detection of Hypodense Liver Lesions: Reader Performance and Preferences

Abstract

Objective The aim of the study was to evaluate diagnostic accuracy and readers' experience in the detection of focal liver lesions on computed tomography with Adaptive Statistical Iterative Reconstruction-V (ASIR-V) reconstruction compared with filtered back projection (FBP) scans. Methods Fifty-five patients with liver lesions had FBP and ASIR-V scans. Two radiologists independently reviewed both sets of computed tomography scans, identifying and characterizing liver lesions. Results Adaptive Statistical Iterative Reconstruction-V scans had a reduction in dose length product (P < 0.0001) with no difference in image contrast (P = 0.1805); image noise was less for the ASIR-V scans (P < 0.0001) and contrast-to-noise ratio was better for ASIR-V (P = 0.0002). Both readers found more hypodense liver lesions on the FBP (P = 0.01) scans. Multiple subjective imaging scores were significantly less for the ASIR-V scans for both readers. Conclusions Although ASIR-V scans were objectively better, our readers performed worse in lesion detection on them, suggesting a need for better education/experience with this technology during implementation.

CT Image Features under Reconstruction Algorithm in Analysis of the Effect of Probiotics Combined with Ursodeoxycholic Acid in Treatment of Intrahepatic Cholestasis of Pregnancy

“…However, the SNR was considerably higher than the FBP reconstructed image ( P < 0.05). These results were consistent with the research conclusions of Dimmitt et al (2019) [ 21 ]. It was proved that the noise of the CT image reconstructed by the ASIR model was considerably reduced, the image quality was improved, and the advantages of image quality and lesion detection were obvious.…”

Diagnosis of Cardiac Rehabilitation after Percutaneous Coronary Intervention in Acute Myocardial Infarction Patients by Emission Computed Tomography Image Features under Filtered Back Projection Reconstruction Algorithm

“…Its significance lies in obtaining the image of the internal structure of the detected object without causing any physical damage to the object. Due to its considerable advantages, it has shown unique importance in various application fields [ 17 – 19 ]. For example, it has many applications in medical radiology, nuclear medicine, electron microscopy, radio radar astronomy, light microscopy, holographic imaging, and theoretical vision.…”

Iterative Reconstruction: State-of-the-Art and Future Perspectives

“…Many authors have demonstrated that subjective image quality does not necessarily correlate with increased diagnostic accuracy; in fact, IR does not preserve low-contrast detectability, and there is wide variability in low-contrast detection among different IR methods for the different dose levels. 4,60 Dimmitt et al 52 evaluated the diagnostic accuracy of liver lesion detection using ASiR-V in comparison with FBP and demonstrated that ASiR-V is objectively superior to FBP, despite the readers having better identified liver lesion with FBP. Therefore, readers should adequately train to avoid any misdiagnosed liver lesions.…”