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      Accuracy of B-mode ultrasound and ARFI elastography in predicting malignancy of canine splenic lesions

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          Abstract

          The objective was to evaluate the accuracy of B-mode ultrasonography and ARFI elastography in detecting malignancy in canine splenic lesions. Thirty-seven spleens with abnormalities (16 benign and 21 malignant) from dogs of different breeds and ages were evaluated. Echogenicity, echotexture, organ length and height were evaluated using B-mode. By ARFI elastography, tissue stiffness was evaluated qualitatively (elastogram) and quantitatively (measuring the shear wave velocity—SWV). Lesions were classified as diffuse, focal or multifocal (cranial, medial or caudal portion) and comparisons of the SWV between the injured and non-injured areas were performed. In the B-mode, no features were associated to malignancy (P > 0.05). In the elastogram, 35 spleens were non-deformable and 2 deformable, having no association with malignancy. The greater SWV was observed in malignant lesions (3.4 ± 0.6 m/s), followed by areas free from alterations (2.1 ± 0.3 m/s) and benign lesions (1.7 ± 0.5 m/s), with difference between groups (P < 0.0001). It was found that a SWV > 2.6 m/s indicates malignancy of canine splenic lesions (sensitivity of 95%, specificity of 100%, PPV of 100%, NPV of 94% and accuracy of 97%), concluding that ARFI elastography is a promising technique for differentiating malignancy in these lesions.

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          Most cited references39

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          Update to the Society of Radiologists in Ultrasound Liver Elastography Consensus Statement

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            Shear wave elastography of thyroid nodules for the prediction of malignancy in a large scale study.

            The purpose of this study is to validate the usefulness of shear wave elastography (SWE) in predicting thyroid malignancy with a large-scale quantitative SWE data.
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              Ultrasound-guided fine needle biopsy of the spleen: high clinical efficacy and low risk in a multicenter Italian study.

              The aim of this study was to evaluate the clinical efficacy and safety of the ultrasound-guided fine needle biopsy (UG-FNB) of the spleen in a large population of patients. We collected retrospectively the findings concerning the application of UG-FNB of the spleen from eight Italian clinical centers that utilized this technique for at least ten years. A data schedule was sent to all centers to collect information about techniques, results, and complications of UG-FNB of the spleen. We analyzed 398 biopsy procedures both on focal lesions (257 cases) and on splenic parenchyma (141 cases). The overall accuracy was 90.9% for the series as a whole, 84.9% for cytological sampling, 88.3% for microhistological sampling, and 90.3% for both cytological and histological sampling (double biopsy). Tissue core biopsy yielded better overall accuracy in patients with suspected splenic involvement by lymphoma (90.9% vs. 68.5% for cytology). The complication rate was low (no death cases, less than 1% for major complications, and 5.2% for all complications). No predictive factors were able to detect high-risk situations. The operator's skill (higher number of performed procedures) was significantly related to better overall accuracy. Conversely, the complication rate was not affected. UG-FNB of the spleen is a very effective diagnostic procedure with low risk for the patient. Aspiration cytology and core needle biopsy showed similar diagnostic yields, except for the diagnosis of splenic lymphoma, in which core needle biopsy obtained better results. Copyright 2001 Wiley-Liss, Inc.
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                Author and article information

                Contributors
                marcus.feliciano@ufsm.br
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                11 March 2022
                11 March 2022
                2022
                : 12
                : 4252
                Affiliations
                [1 ]GRID grid.410543.7, ISNI 0000 0001 2188 478X, Faculty of Agrarian and Veterinary Sciences, , Paulista State University “Júlio de Mesquita Filho”, ; Jaboticabal, Brazil
                [2 ]GRID grid.411140.1, ISNI 0000 0001 0812 5789, Universidad CES, ; Medellin, Colombia
                [3 ]GRID grid.411239.c, ISNI 0000 0001 2284 6531, Federal University of Santa Maria, ; Av. Roraima nº 1000 Cidade Universitária Bairro - Camobi, Santa Maria, RS 97105-900 Brazil
                Article
                8317
                10.1038/s41598-022-08317-7
                8917151
                35277580
                3ead828f-caf6-406c-8aca-240c701fbbce
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 17 August 2021
                : 7 March 2022
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                © The Author(s) 2022

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                diagnosis,medical imaging,prognosis
                Uncategorized
                diagnosis, medical imaging, prognosis

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