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Qualitative Diagnosis of Liver Tumors Based on Ultrasound-Guided Automatic Biopsy

The goal of this study was to see if automatic biopsy guided by ultrasound could be used to provide a qualitative diagnosis of a liver tumor. Methods. A total of 40 patients (101 focuses) were treated with automatic liver parenchyma biopsy under ultrasound guidance, and the correlation between patho...

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Detalles Bibliográficos
Autor principal: Peng, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616664/
https://www.ncbi.nlm.nih.gov/pubmed/34840705
http://dx.doi.org/10.1155/2021/8585887
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author Peng, Bin
author_facet Peng, Bin
author_sort Peng, Bin
collection PubMed
description The goal of this study was to see if automatic biopsy guided by ultrasound could be used to provide a qualitative diagnosis of a liver tumor. Methods. A total of 40 patients (101 focuses) were treated with automatic liver parenchyma biopsy under ultrasound guidance, and the correlation between pathological outcomes and ultrasound images was investigated. The lesion size in the observation group was compared to that in the control group using conventional ultrasound (P > 0.05), and there was no significant difference. Under contrast-enhanced ultrasound (CEUS), there was no statistically significant difference in lesion size between the observation and control groups (P > 0.05). The difference in lesion size between the conventional ultrasonography and CEUS observation groups was statistically significant (P 0.05). Conclusion. Ultrasound-guided automated biopsy of the liver parenchyma is a simple and effective procedure with fewer problems and a high diagnostic rate, and it deserves to be promoted clinically.
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spelling pubmed-86166642021-11-26 Qualitative Diagnosis of Liver Tumors Based on Ultrasound-Guided Automatic Biopsy Peng, Bin J Healthc Eng Research Article The goal of this study was to see if automatic biopsy guided by ultrasound could be used to provide a qualitative diagnosis of a liver tumor. Methods. A total of 40 patients (101 focuses) were treated with automatic liver parenchyma biopsy under ultrasound guidance, and the correlation between pathological outcomes and ultrasound images was investigated. The lesion size in the observation group was compared to that in the control group using conventional ultrasound (P > 0.05), and there was no significant difference. Under contrast-enhanced ultrasound (CEUS), there was no statistically significant difference in lesion size between the observation and control groups (P > 0.05). The difference in lesion size between the conventional ultrasonography and CEUS observation groups was statistically significant (P 0.05). Conclusion. Ultrasound-guided automated biopsy of the liver parenchyma is a simple and effective procedure with fewer problems and a high diagnostic rate, and it deserves to be promoted clinically. Hindawi 2021-11-18 /pmc/articles/PMC8616664/ /pubmed/34840705 http://dx.doi.org/10.1155/2021/8585887 Text en Copyright © 2021 Bin Peng. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Peng, Bin
Qualitative Diagnosis of Liver Tumors Based on Ultrasound-Guided Automatic Biopsy
title Qualitative Diagnosis of Liver Tumors Based on Ultrasound-Guided Automatic Biopsy
title_full Qualitative Diagnosis of Liver Tumors Based on Ultrasound-Guided Automatic Biopsy
title_fullStr Qualitative Diagnosis of Liver Tumors Based on Ultrasound-Guided Automatic Biopsy
title_full_unstemmed Qualitative Diagnosis of Liver Tumors Based on Ultrasound-Guided Automatic Biopsy
title_short Qualitative Diagnosis of Liver Tumors Based on Ultrasound-Guided Automatic Biopsy
title_sort qualitative diagnosis of liver tumors based on ultrasound-guided automatic biopsy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8616664/
https://www.ncbi.nlm.nih.gov/pubmed/34840705
http://dx.doi.org/10.1155/2021/8585887
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