Literature DB >> 33576003

Characterization of Focal Liver Masses: A Multicenter Comparison of Contrast-Enhanced Ultrasound, Computed Tomography, and Magnetic Resonance Imaging.

David P Burrowes1, Alexandra Medellin1, Allison C Harris2, Laurent Milot3, Brendan C Lethebe4, Stephanie R Wilson1,5,6.   

Abstract

OBJECTIVES: To demonstrate the usefulness of contrast-enhanced ultrasound (CEUS) for the evaluation of focal liver masses via a direct comparison to standard ultrasound and computed tomography/magnetic resonance imaging (CT/MRI).
METHODS: A cohort of 214 patients with previously undiagnosed focal liver masses were included from 5 different centers. Each patient was imaged using CEUS and CT and/or MRI. Anonymized and randomized images were interpreted by 4 separate blind readers from 3 of the participating centers (2 readers for CEUS and 2 readers for CT/MRI). Readers were blinded to patient demographics and past medical history. Readers were asked to decide if the lesion was benign or malignant, provide a final diagnosis for the lesion, and provide a confidence interval. Results were compared to truth standard from pathology or expert consensus.
RESULTS: In determination of malignancy, CEUS had a sensitivity of 95%, specificity of 82%, PPV of 82%, NPV of 95%, statistically better than standard ultrasound (sensitivity 82%, specificity 56%, PPV 60%, NPV 78%) with P < .01 and not statistically different from CT (sensitivity 90%, specificity 73% PPV 81%, NPV 86%) or MRI (sensitivity 85%, specificity 79%, PPV 68%, NPV 91%) with P ≥ .01. In assigning a final diagnosis, CEUS had an accuracy of 78% statistically better than standard ultrasound (46%) with P < .01 and not statistically different from CT (68%) or MRI (71%) with P > .01.
CONCLUSIONS: In the evaluation of focal liver lesions, both for determination of malignancy and in accuracy of final diagnosis, CEUS performs better than standard ultrasound and at least equivalent to both CT and MRI.
© 2021 American Institute of Ultrasound in Medicine.

Entities:  

Keywords:  CT; MRI; contrast-enhanced ultrasound; liver

Year:  2021        PMID: 33576003     DOI: 10.1002/jum.15644

Source DB:  PubMed          Journal:  J Ultrasound Med        ISSN: 0278-4297            Impact factor:   2.153


  2 in total

1.  Algorithm-based approach to focal liver lesions in contrast-enhanced ultrasound.

Authors:  Kheng Song Leow; Christine Ying Kwok; Hsien Min Low; Rahul Lohan; Tze Chwan Lim; Su Chong Albert Low; Cher Heng Tan
Journal:  Australas J Ultrasound Med       Date:  2022-07-04

2.  Interpretable Machine Learning for Characterization of Focal Liver Lesions by Contrast-Enhanced Ultrasound.

Authors:  Simona Turco; Thodsawit Tiyarattanachai; Kambez Ebrahimkheil; John Eisenbrey; Aya Kamaya; Massimo Mischi; Andrej Lyshchik; Ahmed El Kaffas
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2022-04-27       Impact factor: 3.267

  2 in total

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