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

Authors

  • Ivor Dropco Clinic and Polyclinic for Surgery, University Hospital Regensburg, Regensburg, Germany
  • Ulrich Kaiser Medical Clinic and Polyclinic III, University Hospital Regensburg, Regensburg, Germany
  • Lola Wagner Institute for Diagnostic Radiology and Interdisciplinary Ultrasound, University Hospital Regensburg, Regensburg, Germany
  • Stefan M Brunner Clinic and Polyclinic for Surgery, University Hospital Regensburg, Regensburg, Germany
  • Hans Jürgen Schlitt Clinic and Polyclinic for Surgery, University Hospital Regensburg, Regensburg, Germany
  • Christian Stroszcynski Institute for Diagnostic Radiology and Interdisciplinary Ultrasound, University Hospital Regensburg, Regensburg, Germany
  • Friedrich Jung Institute of Biotechnology, Molecular Cell Biology, Brandenburg University of Technology, Senftenberg, Germany
  • Dong Yi Department of Ultrasound Zhongshan Hospital, Fudan University, Shanghai, China
  • Wolfgang Herr Medical Clinic and Polyclinic III, University Hospital Regensburg, Regensburg, Germany
  • Ernst Michael Jung Institute for Diagnostic Radiology and Interdisciplinary Ultrasound, University Hospital Regensburg, Regensburg, Germany

DOI:

https://doi.org/10.15403/jgld-4997

Keywords:

CEUS, parametric imaging, dynamic vascularizatio, liver malignancies

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.

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Published

2023-12-22

How to Cite

1.
Dropco I, Kaiser U, Wagner L, Brunner SM, Schlitt HJ, Stroszcynski C, Jung F, Yi D, Herr W, Jung EM. Color Mapping using Ultrasound System-integrated Perfusion Software for Evaluation of Focal Liver Lesions: A Possible First Step for More Independent Reading. JGLD [Internet]. 2023 Dec. 22 [cited 2026 Jul. 22];32(4):479-87. Available from: https://www.jgld.ro/jgld/index.php/jgld/article/view/4997

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Original Article