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Quantitative analysis of endobronchial ultrasound elastography in computed tomography‐negative mediastinal and hilar lymph nodes

BACKGROUND: Endobronchial ultrasound (EBUS) elastography assists in the differentiation of benign and malignant lymph nodes (LNs) during transbronchial needle aspiration (TBNA). However, previous studies have not compared B‐mode sonographic images (BSIs) and EBUS elastography images (EEIs) with fina...

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Autores principales: Uchimura, Keigo, Yamasaki, Kei, Sasada, Shinji, Hara, Sachika, Ikushima, Issei, Chiba, Yosuke, Tachiwada, Takashi, Kawanami, Toshinori, Yatera, Kazuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7471032/
https://www.ncbi.nlm.nih.gov/pubmed/32691537
http://dx.doi.org/10.1111/1759-7714.13579
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author Uchimura, Keigo
Yamasaki, Kei
Sasada, Shinji
Hara, Sachika
Ikushima, Issei
Chiba, Yosuke
Tachiwada, Takashi
Kawanami, Toshinori
Yatera, Kazuhiro
author_facet Uchimura, Keigo
Yamasaki, Kei
Sasada, Shinji
Hara, Sachika
Ikushima, Issei
Chiba, Yosuke
Tachiwada, Takashi
Kawanami, Toshinori
Yatera, Kazuhiro
author_sort Uchimura, Keigo
collection PubMed
description BACKGROUND: Endobronchial ultrasound (EBUS) elastography assists in the differentiation of benign and malignant lymph nodes (LNs) during transbronchial needle aspiration (TBNA). However, previous studies have not compared B‐mode sonographic images (BSIs) and EBUS elastography images (EEIs) with final pathological diagnoses in radiologically normal‐sized (computed tomography [CT]‐negative) LNs. METHODS: Consecutive patients with CT‐negative LNs, who received EBUS‐TBNA, were retrospectively reviewed. Images of BSIs and EEIs of each LN were stored and independently evaluated. EEIs were assessed by calculating the stiffness area ratio (SAR, blue/overall areas). The receiver operating characteristic curve was used to calculate the cutoff value for the SAR. Diagnostic test parameters were evaluated for each EBUS finding. RESULTS: A total of 132 patients (149 LNs) were enrolled, and the median SAR of malignant LNs was significantly higher than that of benign LNs (0.58 vs. 0.32, P < 0.001). At the SAR cutoff of 0.41, the sensitivity, specificity, positive predictive value, negative predictive value (NPV), and diagnostic accuracy rate (DAR) of elastography were 88.2%, 80.2%, 78.9%, 89.0%, and 83.9%, respectively. The logistic regression analysis showed that elastography was the strongest predictor of malignancy (odds ratio, 18.5; 95% confidence interval [CI]: 6.48–52.6; P < 0.001). The highest NPV (96.6%) was achieved with a combination of BSIs and EEIs. CONCLUSIONS: EBUS elastography predicted malignant LNs with a high DAR and NPV in CT‐negative LNs. The NPV was highest when EEIs were combined with BSIs. Therefore, the combined evaluation of CT‐negative LNs using EEIs and BSIs may help bronchoscopists perform EBUS‐TBNA more efficiently. KEY POINTS: SIGNIFICANT FINDINGS OF THE STUDY: Endobronchial ultrasound elastography accurately predicted malignancy with a high diagnostic accuracy rate and negative predictive value in radiologically normal‐sized lymph nodes. The additional use of B‐mode sonographic features resulted in a higher negative predictive value. WHAT THIS STUDY ADDS: Endobronchial ultrasound elastography can guide the accurate collection of specimens with transbronchial needle aspiration, even in radiologically normal‐sized lymph nodes. It can also readily distinguish benign and malignant lymph nodes, thus avoiding unnecessary punctures.
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spelling pubmed-74710322020-09-09 Quantitative analysis of endobronchial ultrasound elastography in computed tomography‐negative mediastinal and hilar lymph nodes Uchimura, Keigo Yamasaki, Kei Sasada, Shinji Hara, Sachika Ikushima, Issei Chiba, Yosuke Tachiwada, Takashi Kawanami, Toshinori Yatera, Kazuhiro Thorac Cancer Original Articles BACKGROUND: Endobronchial ultrasound (EBUS) elastography assists in the differentiation of benign and malignant lymph nodes (LNs) during transbronchial needle aspiration (TBNA). However, previous studies have not compared B‐mode sonographic images (BSIs) and EBUS elastography images (EEIs) with final pathological diagnoses in radiologically normal‐sized (computed tomography [CT]‐negative) LNs. METHODS: Consecutive patients with CT‐negative LNs, who received EBUS‐TBNA, were retrospectively reviewed. Images of BSIs and EEIs of each LN were stored and independently evaluated. EEIs were assessed by calculating the stiffness area ratio (SAR, blue/overall areas). The receiver operating characteristic curve was used to calculate the cutoff value for the SAR. Diagnostic test parameters were evaluated for each EBUS finding. RESULTS: A total of 132 patients (149 LNs) were enrolled, and the median SAR of malignant LNs was significantly higher than that of benign LNs (0.58 vs. 0.32, P < 0.001). At the SAR cutoff of 0.41, the sensitivity, specificity, positive predictive value, negative predictive value (NPV), and diagnostic accuracy rate (DAR) of elastography were 88.2%, 80.2%, 78.9%, 89.0%, and 83.9%, respectively. The logistic regression analysis showed that elastography was the strongest predictor of malignancy (odds ratio, 18.5; 95% confidence interval [CI]: 6.48–52.6; P < 0.001). The highest NPV (96.6%) was achieved with a combination of BSIs and EEIs. CONCLUSIONS: EBUS elastography predicted malignant LNs with a high DAR and NPV in CT‐negative LNs. The NPV was highest when EEIs were combined with BSIs. Therefore, the combined evaluation of CT‐negative LNs using EEIs and BSIs may help bronchoscopists perform EBUS‐TBNA more efficiently. KEY POINTS: SIGNIFICANT FINDINGS OF THE STUDY: Endobronchial ultrasound elastography accurately predicted malignancy with a high diagnostic accuracy rate and negative predictive value in radiologically normal‐sized lymph nodes. The additional use of B‐mode sonographic features resulted in a higher negative predictive value. WHAT THIS STUDY ADDS: Endobronchial ultrasound elastography can guide the accurate collection of specimens with transbronchial needle aspiration, even in radiologically normal‐sized lymph nodes. It can also readily distinguish benign and malignant lymph nodes, thus avoiding unnecessary punctures. John Wiley & Sons Australia, Ltd 2020-07-21 2020-09 /pmc/articles/PMC7471032/ /pubmed/32691537 http://dx.doi.org/10.1111/1759-7714.13579 Text en © 2020 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Uchimura, Keigo
Yamasaki, Kei
Sasada, Shinji
Hara, Sachika
Ikushima, Issei
Chiba, Yosuke
Tachiwada, Takashi
Kawanami, Toshinori
Yatera, Kazuhiro
Quantitative analysis of endobronchial ultrasound elastography in computed tomography‐negative mediastinal and hilar lymph nodes
title Quantitative analysis of endobronchial ultrasound elastography in computed tomography‐negative mediastinal and hilar lymph nodes
title_full Quantitative analysis of endobronchial ultrasound elastography in computed tomography‐negative mediastinal and hilar lymph nodes
title_fullStr Quantitative analysis of endobronchial ultrasound elastography in computed tomography‐negative mediastinal and hilar lymph nodes
title_full_unstemmed Quantitative analysis of endobronchial ultrasound elastography in computed tomography‐negative mediastinal and hilar lymph nodes
title_short Quantitative analysis of endobronchial ultrasound elastography in computed tomography‐negative mediastinal and hilar lymph nodes
title_sort quantitative analysis of endobronchial ultrasound elastography in computed tomography‐negative mediastinal and hilar lymph nodes
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7471032/
https://www.ncbi.nlm.nih.gov/pubmed/32691537
http://dx.doi.org/10.1111/1759-7714.13579
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