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Scoring model of convex probe endobronchial ultrasound multimodal imaging in differentiating benign and malignant lung lesions
BACKGROUND: Convex probe endobronchial ultrasound images can reflect the morphology, blood flow status and stiffness of the lesions. Endobronchial ultrasound multimodal imaging has great value for the diagnosis of intrathoracic lymph nodes. This study aimed to analyze the application of endobronchia...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797845/ https://www.ncbi.nlm.nih.gov/pubmed/33447457 http://dx.doi.org/10.21037/jtd-2020-abpd-005 |
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author | Zhi, Xinxin Wang, Lei Chen, Junxiang Zheng, Xiaoxuan Li, Ying Sun, Jiayuan |
author_facet | Zhi, Xinxin Wang, Lei Chen, Junxiang Zheng, Xiaoxuan Li, Ying Sun, Jiayuan |
author_sort | Zhi, Xinxin |
collection | PubMed |
description | BACKGROUND: Convex probe endobronchial ultrasound images can reflect the morphology, blood flow status and stiffness of the lesions. Endobronchial ultrasound multimodal imaging has great value for the diagnosis of intrathoracic lymph nodes. This study aimed to analyze the application of endobronchial ultrasound multimodal imaging on lung lesions. METHODS: Patients undergoing endobronchial ultrasound-guided transbronchial needle aspiration in Shanghai Chest Hospital from July 2018 to December 2019 were retrospectively enrolled. Nine grayscale features (long and short axes, margin, shape, lobulation sign, echogenicity, necrosis, liquefaction, calcification, and air-bronchogram), blood flow volume and elastography five-score method were analyzed to explore the best diagnostic method. The gold standard for diagnosing lesions depends on the histological and cytopathological findings of endobronchial ultrasound-guided transbronchial needle aspiration, transthoracic biopsy, resected sample of lesions, microbiological examination or clinical follow-up of at least 6 months. RESULTS: Endobronchial ultrasound multimodal imaging of 97 malignant lung lesions and 19 benign lung lesions from 116 patients were analyzed. There were statistically significant differences in distinct margin, presence of lobulation sign, presence of necrosis, and elastography grading score 4–5 between malignant and benign lung lesions, among which presence of lobulation sign and elastography grading score 4–5 were independent predictors. A diagnostic scoring model was then constructed based on the above four features, and when two or more features were present, the sensitivity, specificity, positive predictive value, negative predictive value and accuracy for malignant lung lesions prediction were 92.78%, 57.89%, 91.84%, 61.11% and 87.07%, respectively. CONCLUSIONS: The combination of endobronchial ultrasound grayscale and elastography has potential value for malignant and benign lung lesions differentiation. The diagnostic scoring model established in this study needs further validation to guide the malignant and benign diagnosis of lung lesions. |
format | Online Article Text |
id | pubmed-7797845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-77978452021-01-13 Scoring model of convex probe endobronchial ultrasound multimodal imaging in differentiating benign and malignant lung lesions Zhi, Xinxin Wang, Lei Chen, Junxiang Zheng, Xiaoxuan Li, Ying Sun, Jiayuan J Thorac Dis Original Article on Advance in Bronchoscopy for Peripheral Pulmonary Diseases BACKGROUND: Convex probe endobronchial ultrasound images can reflect the morphology, blood flow status and stiffness of the lesions. Endobronchial ultrasound multimodal imaging has great value for the diagnosis of intrathoracic lymph nodes. This study aimed to analyze the application of endobronchial ultrasound multimodal imaging on lung lesions. METHODS: Patients undergoing endobronchial ultrasound-guided transbronchial needle aspiration in Shanghai Chest Hospital from July 2018 to December 2019 were retrospectively enrolled. Nine grayscale features (long and short axes, margin, shape, lobulation sign, echogenicity, necrosis, liquefaction, calcification, and air-bronchogram), blood flow volume and elastography five-score method were analyzed to explore the best diagnostic method. The gold standard for diagnosing lesions depends on the histological and cytopathological findings of endobronchial ultrasound-guided transbronchial needle aspiration, transthoracic biopsy, resected sample of lesions, microbiological examination or clinical follow-up of at least 6 months. RESULTS: Endobronchial ultrasound multimodal imaging of 97 malignant lung lesions and 19 benign lung lesions from 116 patients were analyzed. There were statistically significant differences in distinct margin, presence of lobulation sign, presence of necrosis, and elastography grading score 4–5 between malignant and benign lung lesions, among which presence of lobulation sign and elastography grading score 4–5 were independent predictors. A diagnostic scoring model was then constructed based on the above four features, and when two or more features were present, the sensitivity, specificity, positive predictive value, negative predictive value and accuracy for malignant lung lesions prediction were 92.78%, 57.89%, 91.84%, 61.11% and 87.07%, respectively. CONCLUSIONS: The combination of endobronchial ultrasound grayscale and elastography has potential value for malignant and benign lung lesions differentiation. The diagnostic scoring model established in this study needs further validation to guide the malignant and benign diagnosis of lung lesions. AME Publishing Company 2020-12 /pmc/articles/PMC7797845/ /pubmed/33447457 http://dx.doi.org/10.21037/jtd-2020-abpd-005 Text en 2020 Journal of Thoracic Disease. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article on Advance in Bronchoscopy for Peripheral Pulmonary Diseases Zhi, Xinxin Wang, Lei Chen, Junxiang Zheng, Xiaoxuan Li, Ying Sun, Jiayuan Scoring model of convex probe endobronchial ultrasound multimodal imaging in differentiating benign and malignant lung lesions |
title | Scoring model of convex probe endobronchial ultrasound multimodal imaging in differentiating benign and malignant lung lesions |
title_full | Scoring model of convex probe endobronchial ultrasound multimodal imaging in differentiating benign and malignant lung lesions |
title_fullStr | Scoring model of convex probe endobronchial ultrasound multimodal imaging in differentiating benign and malignant lung lesions |
title_full_unstemmed | Scoring model of convex probe endobronchial ultrasound multimodal imaging in differentiating benign and malignant lung lesions |
title_short | Scoring model of convex probe endobronchial ultrasound multimodal imaging in differentiating benign and malignant lung lesions |
title_sort | scoring model of convex probe endobronchial ultrasound multimodal imaging in differentiating benign and malignant lung lesions |
topic | Original Article on Advance in Bronchoscopy for Peripheral Pulmonary Diseases |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797845/ https://www.ncbi.nlm.nih.gov/pubmed/33447457 http://dx.doi.org/10.21037/jtd-2020-abpd-005 |
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