CT-Guided Liver Biopsy: Evaluation of Spectral Data From Dual-Layer Detector CT for Improved Lesion Detection

Cardiovasc Intervent Radiol. 2023 Nov;46(11):1621-1631. doi: 10.1007/s00270-023-03550-7. Epub 2023 Sep 27.

Abstract

Purpose: Evaluation of dual-layer spectral computed tomography (CT) for contrast enhancement during image-guided biopsy of liver lesions using virtual monoenergetic images (VMI) and virtual non-contrast (VNC) images.

Methods: Spectral CT data of 20 patients receiving CT-guided needle biopsy of focal liver lesions were used to generate VMI at energy levels from 40 to 200 keV and VNC images. Images were analyzed objectively regarding contrast-to-noise ratio between lesion center (CNRcent) or periphery (CNRperi) and normal liver parenchyma. Lesion visibility and image quality were evaluated on a 4-point Likert scale by two radiologists.

Results: Using VMI/VNC images, readers reported an increased visibility of the lesion compared to the conventional CT images in 18/20 cases. In 75% of cases, the highest visibility was derived by VMI-40. Showing all reconstructions simultaneously, VMI-40 offered the highest visibility in 75% of cases, followed by VNC in 12.5% of cases. Either CNRcent (17/20) or/and CNRperi (17/20) was higher (CNR increase > 50%) in 19/20 cases for VMI-40 or VNC images compared to conventional CT images. VMI-40 showed the highest CNRcent in 14 cases and the highest CNRperi in 12 cases. High image quality was present for all reconstructions with a minimum median of 3.5 for VMI-40 and VMI-50.

Conclusions: When implemented in the CT scanner software, automated contrast enhancement of liver lesions during image-guided biopsy may facilitate the procedure.

Keywords: Computed tomography; Dual-layer spectral CT; Image post-processing technique; Image-guided biopsy; Liver intervention; X-Ray computed tomography.

MeSH terms

  • Biopsy
  • Humans
  • Liver Neoplasms* / diagnostic imaging
  • Radiographic Image Interpretation, Computer-Assisted / methods
  • Retrospective Studies
  • Signal-To-Noise Ratio
  • Tomography, X-Ray Computed* / methods