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Evaluating Different Quantitative Shear Wave Parameters of Ultrasound Elastography in the Diagnosis of Lymph Node Malignancies: A Systematic Review and Meta-Analysis

SIMPLE SUMMARY: Ultrasound (US) imaging is a safe, convenient imaging method for identifying malignant lymph nodes. Shear wave elastography (SWE), as a type of US elastography offers the mechanical information of tissue by sensing shear wave propagation in lymph nodes. Malignant lymph nodes can show...

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Autores principales: Gao, Yujia, Zhao, Yi, Choi, Sunyoung, Chaurasia, Anjalee, Ding, Hao, Haroon, Athar, Wan, Simon, Adeleke, Sola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688428/
https://www.ncbi.nlm.nih.gov/pubmed/36428661
http://dx.doi.org/10.3390/cancers14225568
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author Gao, Yujia
Zhao, Yi
Choi, Sunyoung
Chaurasia, Anjalee
Ding, Hao
Haroon, Athar
Wan, Simon
Adeleke, Sola
author_facet Gao, Yujia
Zhao, Yi
Choi, Sunyoung
Chaurasia, Anjalee
Ding, Hao
Haroon, Athar
Wan, Simon
Adeleke, Sola
author_sort Gao, Yujia
collection PubMed
description SIMPLE SUMMARY: Ultrasound (US) imaging is a safe, convenient imaging method for identifying malignant lymph nodes. Shear wave elastography (SWE), as a type of US elastography offers the mechanical information of tissue by sensing shear wave propagation in lymph nodes. Malignant lymph nodes can show increased stiffness at the lesion margin and adjacent tissue on the SWE image. However, the diagnostic accuracies of various SWE parameters that quantify tissue stiffness, such as maximum stiffness, mean stiffness, minimum stiffness, and standard deviation, are yet to be demonstrated. We included sixteen eligible studies to evaluate the pooled diagnostic accuracy of different SWE parameters. SWE has demonstrated promise as an imaging modality in diagnosing and differentiating malignancy from benign lymph nodes. Its incorporation into standard US allows for a better evaluation of the target region or lymph node and might reduce the need for invasive procedures or exposure to ionising radiation without compromising on diagnostic accuracy. ABSTRACT: Shear wave elastography (SWE) has shown promise in distinguishing lymph node malignancies. However, the diagnostic accuracies of various SWE parameters that quantify tissue stiffness are yet to be demonstrated. To evaluate the pooled diagnostic accuracy of different SWE parameters for differentiating lymph node malignancies, we conducted a systematic screening of four databases using the PRISMA guidelines. Lymph node biopsy was adopted as the reference standard. E(max) (maximum stiffness), E(mean) (mean stiffness), E(min) (minimum stiffness), and E(sd) (standard deviation) SWE parameters were subjected to separate meta-analyses. A sub-group analysis comparing the use of E(max) in cervical (including thyroid) and axillary lymph node malignancies was also conducted. Sixteen studies were included in this meta-analysis. E(max) and E(sd) demonstrated the highest pooled sensitivity (0.78 (95% CI: 0.69–0.87); 0.78 (95% CI: 0.68–0.87)), while E(mean) demonstrated the highest pooled specificity (0.93 (95% CI: 0.88–0.98)). From the sub-group analysis, the diagnostic performance did not differ significantly in cervical and axillary LN malignancies. In conclusion, SWE is a promising adjunct imaging technique to conventional ultrasonography in the diagnosis of lymph node malignancy. SWE parameters of E(max) and E(sd) have been identified as better choices of parameters for screening clinical purposes.
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spelling pubmed-96884282022-11-25 Evaluating Different Quantitative Shear Wave Parameters of Ultrasound Elastography in the Diagnosis of Lymph Node Malignancies: A Systematic Review and Meta-Analysis Gao, Yujia Zhao, Yi Choi, Sunyoung Chaurasia, Anjalee Ding, Hao Haroon, Athar Wan, Simon Adeleke, Sola Cancers (Basel) Systematic Review SIMPLE SUMMARY: Ultrasound (US) imaging is a safe, convenient imaging method for identifying malignant lymph nodes. Shear wave elastography (SWE), as a type of US elastography offers the mechanical information of tissue by sensing shear wave propagation in lymph nodes. Malignant lymph nodes can show increased stiffness at the lesion margin and adjacent tissue on the SWE image. However, the diagnostic accuracies of various SWE parameters that quantify tissue stiffness, such as maximum stiffness, mean stiffness, minimum stiffness, and standard deviation, are yet to be demonstrated. We included sixteen eligible studies to evaluate the pooled diagnostic accuracy of different SWE parameters. SWE has demonstrated promise as an imaging modality in diagnosing and differentiating malignancy from benign lymph nodes. Its incorporation into standard US allows for a better evaluation of the target region or lymph node and might reduce the need for invasive procedures or exposure to ionising radiation without compromising on diagnostic accuracy. ABSTRACT: Shear wave elastography (SWE) has shown promise in distinguishing lymph node malignancies. However, the diagnostic accuracies of various SWE parameters that quantify tissue stiffness are yet to be demonstrated. To evaluate the pooled diagnostic accuracy of different SWE parameters for differentiating lymph node malignancies, we conducted a systematic screening of four databases using the PRISMA guidelines. Lymph node biopsy was adopted as the reference standard. E(max) (maximum stiffness), E(mean) (mean stiffness), E(min) (minimum stiffness), and E(sd) (standard deviation) SWE parameters were subjected to separate meta-analyses. A sub-group analysis comparing the use of E(max) in cervical (including thyroid) and axillary lymph node malignancies was also conducted. Sixteen studies were included in this meta-analysis. E(max) and E(sd) demonstrated the highest pooled sensitivity (0.78 (95% CI: 0.69–0.87); 0.78 (95% CI: 0.68–0.87)), while E(mean) demonstrated the highest pooled specificity (0.93 (95% CI: 0.88–0.98)). From the sub-group analysis, the diagnostic performance did not differ significantly in cervical and axillary LN malignancies. In conclusion, SWE is a promising adjunct imaging technique to conventional ultrasonography in the diagnosis of lymph node malignancy. SWE parameters of E(max) and E(sd) have been identified as better choices of parameters for screening clinical purposes. MDPI 2022-11-13 /pmc/articles/PMC9688428/ /pubmed/36428661 http://dx.doi.org/10.3390/cancers14225568 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Systematic Review
Gao, Yujia
Zhao, Yi
Choi, Sunyoung
Chaurasia, Anjalee
Ding, Hao
Haroon, Athar
Wan, Simon
Adeleke, Sola
Evaluating Different Quantitative Shear Wave Parameters of Ultrasound Elastography in the Diagnosis of Lymph Node Malignancies: A Systematic Review and Meta-Analysis
title Evaluating Different Quantitative Shear Wave Parameters of Ultrasound Elastography in the Diagnosis of Lymph Node Malignancies: A Systematic Review and Meta-Analysis
title_full Evaluating Different Quantitative Shear Wave Parameters of Ultrasound Elastography in the Diagnosis of Lymph Node Malignancies: A Systematic Review and Meta-Analysis
title_fullStr Evaluating Different Quantitative Shear Wave Parameters of Ultrasound Elastography in the Diagnosis of Lymph Node Malignancies: A Systematic Review and Meta-Analysis
title_full_unstemmed Evaluating Different Quantitative Shear Wave Parameters of Ultrasound Elastography in the Diagnosis of Lymph Node Malignancies: A Systematic Review and Meta-Analysis
title_short Evaluating Different Quantitative Shear Wave Parameters of Ultrasound Elastography in the Diagnosis of Lymph Node Malignancies: A Systematic Review and Meta-Analysis
title_sort evaluating different quantitative shear wave parameters of ultrasound elastography in the diagnosis of lymph node malignancies: a systematic review and meta-analysis
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9688428/
https://www.ncbi.nlm.nih.gov/pubmed/36428661
http://dx.doi.org/10.3390/cancers14225568
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