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Color Mapping using Ultrasound System-integrated Perfusion Software for Evaluation of Focal Liver Lesions: A Possible First Step for More Independent Reading.
Dropco, Ivor; Kaiser, Ulrich; Wagner, Lola; Brunner, Stefan M; Schlitt, Hans Jürgen; Stroszcynski, Christian; Jung, Friedrich; Yi, Dong; Herr, Wolfgang; Jung, Ernst Michael.
Afiliación
  • Dropco I; Clinic and Polyclinic for Surgery, University Hospital Regensburg, Regensburg, Germany. ivor.dropco@ukr.de.
  • Kaiser U; Medical Clinic and Polyclinic III, University Hospital Regensburg, Regensburg, Germany. ulrich.kaiser@ukr.de.
  • Wagner L; Institute for Diagnostic Radiology and Interdisciplinary Ultrasound, University Hospital Regensburg, Regensburg, Germany. lola.wagner@ukr.de.
  • Brunner SM; Clinic and Polyclinic for Surgery, University Hospital Regensburg, Regensburg, Germany. stefan.brunner@ukr.de.
  • Schlitt HJ; Clinic and Polyclinic for Surgery, University Hospital Regensburg, Regensburg, Germany. hans.schlitt@ukr.de.
  • Stroszcynski C; Institute for Diagnostic Radiology and Interdisciplinary Ultrasound, University Hospital Regensburg, Regensburg, Germany. christian.stroszcynski@ukr.de.
  • Jung F; Institute of Biotechnology, Molecular Cell Biology, Brandenburg University of Technology, Senftenberg, Germany. dihkf@saarmail.de.
  • Yi D; Department of Ultrasound Zhongshan Hospital, Fudan University, Shanghai, China. dong.yi@zs-hospital.sh.cn.
  • Herr W; Medical Clinic and Polyclinic III, University Hospital Regensburg, Regensburg, Germany. wolfgang.herr@ukr.de.
  • Jung EM; Institute for Diagnostic Radiology and Interdisciplinary Ultrasound, University Hospital Regensburg, Regensburg, Germany. ernst-michael.jung@ukr.de.
J Gastrointestin Liver Dis ; 32(4): 479-487, 2023 12 22.
Article en En | MEDLINE | ID: mdl-38147619
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.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Ultrasonografía / Neoplasias Hepáticas Límite: Humans Idioma: En Revista: J Gastrointestin Liver Dis Asunto de la revista: GASTROENTEROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Ultrasonografía / Neoplasias Hepáticas Límite: Humans Idioma: En Revista: J Gastrointestin Liver Dis Asunto de la revista: GASTROENTEROLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Alemania