Color Mapping using Ultrasound System-integrated Perfusion Software for Evaluation of Focal Liver Lesions: A Possible First Step for More Independent Reading

J Gastrointestin Liver Dis. 2023 Dec 22;32(4):479-487. doi: 10.15403/jgld-4997.

Abstract

Aims: To assess the value of using integrated parametric ultrasound software for contrast-enhanced ultrasonography (CEUS) of liver tumors.

Methods: 107 patients with liver tumors were studied. CEUS were performed to detect focal lesions. Parametric images were based on continuous CINE LOOPs, from the early-arterial phase (15 s) to the portal-venous phase (1 min) generated by perfusion software. The evaluations of the parametric images and their dignity for liver lesions were performed independently by an experienced and a less-experienced investigator. Computed tomography, magnetic resonance imaging scans or histological analysis were used as references.

Results: High parametric image quality were obtained in all patients. Among the patients, 44% lesions were benign, 56% were malignant. The experienced investigator correctly classified 46 of 47 (98%) as benign, and 60 of 60 (100%) as malignant tumors based on the parametric images. The less-experienced investigator correctly classified 39 of 47 (83%) as benign, and 49 of 60 (82%) malignant tumors, acheaving a high statistical accuracy of 98% with this type of diagnostic.

Conclusion: Parametric imaging for grading the malignant degree of tumor may be a good complement to existing ultrasound techniques and was particularly helpful for improving the assessments of the less-experienced examiner.

MeSH terms

  • Contrast Media
  • Humans
  • Image Interpretation, Computer-Assisted*
  • Liver Neoplasms* / diagnostic imaging
  • Liver Neoplasms* / pathology
  • Perfusion / methods
  • Sensitivity and Specificity
  • Software
  • Ultrasonography* / methods

Substances

  • Contrast Media