Virtual Noncontrast Images From Portal Venous Phase Spectral-Detector CT Acquisitions for Adrenal Lesion Characterization

J Comput Assist Tomogr. 2021 Jan-Feb;45(1):24-28. doi: 10.1097/RCT.0000000000000982.

Abstract

Objective: The aim of this study was to investigate if Hounsfield unit (HU) values from virtual noncontrast (VNC) images derived from portal venous phase spectral-detector computed tomography can help to differentiate adrenal adenomas and metastases.

Methods: Spectral-detector computed tomography datasets of 33 patients with presence of adrenal lesions and standard of reference for lesion origin by follow-up/prior examinations or dedicated magnetic resonance imaging were included. Conventional and VNC images were reconstructed from the same scan. Region of interest-based image analysis was performed in adrenal lesions and contralateral healthy adrenal tissue.

Results: The 33 lesions consisted of 23 adenomas and 10 metastases. Hounsfield unit values of all lesions in VNC images were significantly lower compared with conventional images (18.2 ± 12.6 HU vs 59.6 ± 21.7 HU, P < 0.001). Hounsfield unit values in adenomas were significantly lower in VNC images (11.3 ± 6.5 HU vs 34.1 ± 9.1 HU, P < 0.001).

Conclusions: Virtual noncontrast HU values differed significantly between adrenal adenomas and metastases and can therefore be used for improved characterization of incidental adrenal lesions and definition of adrenal adenomas.

MeSH terms

  • Adenoma / diagnostic imaging*
  • Adenoma / pathology
  • Adrenal Gland Neoplasms / diagnostic imaging*
  • Adrenal Gland Neoplasms / pathology
  • Adrenal Gland Neoplasms / secondary*
  • Adrenal Glands / diagnostic imaging
  • Adrenal Glands / pathology*
  • Aged
  • Aged, 80 and over
  • Humans
  • Male
  • Middle Aged
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Retrospective Studies
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed
  • User-Computer Interface