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

Amanda M. Dimmitt, Jessica A. Pelz, Megan E. Albertson, Kaeli K. Samson, Lyudmila M. Muinov, Jennifer M. Oliveto, Neil J. Hansen

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)200-205
Number of pages6
JournalJournal of Computer Assisted Tomography
Volume43
Issue number2
DOIs
StatePublished - Mar 1 2019

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Liver
Tomography
Noise
Technology
Education
Radiologists

Keywords

  • ASIR-V
  • filtered back projection
  • iterative reconstruction

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Evaluation of Adaptive Statistical Iterative Reconstruction-V Reconstruction Algorithm vs Filtered Back Projection in the Detection of Hypodense Liver Lesions : Reader Performance and Preferences. / Dimmitt, Amanda M.; Pelz, Jessica A.; Albertson, Megan E.; Samson, Kaeli K.; Muinov, Lyudmila M.; Oliveto, Jennifer M.; Hansen, Neil J.

In: Journal of Computer Assisted Tomography, Vol. 43, No. 2, 01.03.2019, p. 200-205.

Research output: Contribution to journalArticle

Dimmitt, Amanda M. ; Pelz, Jessica A. ; Albertson, Megan E. ; Samson, Kaeli K. ; Muinov, Lyudmila M. ; Oliveto, Jennifer M. ; Hansen, Neil J. / Evaluation of Adaptive Statistical Iterative Reconstruction-V Reconstruction Algorithm vs Filtered Back Projection in the Detection of Hypodense Liver Lesions : Reader Performance and Preferences. In: Journal of Computer Assisted Tomography. 2019 ; Vol. 43, No. 2. pp. 200-205.
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