Single-energy versus dual-energy imaging during CT-guided biopsy using dedicated metal artifact reduction algorithm in an in vivo pig model

PLoS One. 2021 Apr 26;16(4):e0249921. doi: 10.1371/journal.pone.0249921. eCollection 2021.

Abstract

Purpose: To evaluate dual-energy CT (DE) and dedicated metal artifact reduction algorithms (iMAR) during CT-guided biopsy in comparison to single-energy CT (SE).

Methods: A trocar was placed in the liver of six pigs. CT acquisitions were performed with SE and dose equivalent DE at four dose levels(1.7-13.5mGy). Iterative reconstructions were performed with and without iMAR. ROIs were placed in four positions e.g. at the trocar tip(TROCAR) and liver parenchyma adjacent to the trocar tip(LIVER-1) by two independent observers for quantitative analysis using CT numbers, noise, SNR and CNR. Qualitative image analysis was performed regarding overall image quality and artifacts generated by iMAR.

Results: There were no significant differences in CT numbers between DE and SE at TROCAR and LIVER-1 irrespective of iMAR. iMAR significantly reduced metal artifacts at LIVER-1 for all exposure settings for DE and SE(p = 0.02-0.04), but not at TROCAR. SNR, CNR and noise were comparable for DE and SE. SNR was best for high dose levels of 6.7/13.5mGy. Mean difference in the Blant-Altman analysis was -8.43 to 0.36. Cohen's kappa for qualitative interreader-agreement was 0.901.

Conclusions: iMAR independently reduced metal artifacts more effectively and efficiently than CT acquisition in DE at any dose setting and its application is feasible during CT-guided liver biopsy.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Animals
  • Artifacts*
  • Image Processing, Computer-Assisted
  • Image-Guided Biopsy
  • Liver / diagnostic imaging
  • Liver / pathology
  • Metals / chemistry
  • Radiation Dosage
  • Signal-To-Noise Ratio
  • Swine
  • Tomography, X-Ray Computed / methods*

Substances

  • Metals

Grants and funding

This study received support in the form of the following: TDD was supported by a grant from the Medical Faculty of the University of Heidelberg for research time. No additional external funding was received for this study.