Identificationof Sonographic Features for Predicting Benign Versus Malignant Mediastinal or Hilar Lymph Nodes Using Endobronchial Ultrasound

Objectives: In countries with a high prevalence of tuberculosis, such as Iran, the differentiation of malignant from non-malignant tumors is crucial. We attempted to find a reliable model in determining malignant nodes by investigating the sonographic characteristics of lymph nodes (LNs). Methods: I...

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Main Authors: Atefeh Abedini, Fatemeh Razavi, Hossein Mehravaran, Mihan Pourabdollah Toutkaboni, Alireza Kashefizadeh, Habib Emami, Mehdi Kazempour-Dizaji, Mehrdad Farahani, Arda Kiani
Format: Article
Language:English
Published: Oman Medical Specialty Board 2020-03-01
Series:Oman Medical Journal
Subjects:
Online Access:http://omjournal.org/articleDetails.aspx?coType=1&aId=2579
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spelling doaj-9b0b554f6d804a3ea0fa3421f4f4b7202020-11-25T02:01:58ZengOman Medical Specialty BoardOman Medical Journal1999-768X2070-52042020-03-01352e112e11210.5001/omj.2020.30Identificationof Sonographic Features for Predicting Benign Versus Malignant Mediastinal or Hilar Lymph Nodes Using Endobronchial UltrasoundAtefeh Abedini0Fatemeh Razavi1Hossein Mehravaran2Mihan Pourabdollah Toutkaboni3Alireza Kashefizadeh4Habib Emami5Mehdi Kazempour-Dizaji6Mehrdad Farahani7Arda Kiani8Chronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, IranChronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, IranChronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, IranPediatric Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, IranChronic Respiratory Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, IranTobacco Prevention and Control Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, IranMycobacteriology Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, IranDepartemant of Interventional Pulmonology, Tracheal Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, IranTracheal Diseases Research Center, National Research Institute of Tuberculosis and Lung Diseases, Shahid Beheshti University of Medical Sciences, Tehran, IranObjectives: In countries with a high prevalence of tuberculosis, such as Iran, the differentiation of malignant from non-malignant tumors is crucial. We attempted to find a reliable model in determining malignant nodes by investigating the sonographic characteristics of lymph nodes (LNs). Methods: In this prospective study, the morphologic characteristics of LNs, including size, shape, vascular pattern, echogenicity, margin, coagulation necrosis sign, calcification, and central hilar structure, which had been obtained during endobronchial ultrasound-guided transbronchial needle aspiration, were compared with the final pathology results. Results: We examined 253 LNs from 93 patients. Round shape, non-hilar vascular pattern, heterogeneous echogenicity, hyperechogenicity, distinct margin, and the existence of necrosis signs were significantly higher in malignant nodes. On the other hand, the existence of calcification, as well as the presence of central hilar structure, were highly suggestive of benign nodes (p < 0.050). Multivariate logistic regression revealed that size > 1 cm, heterogeneous echogenicity, hyperechogenicity, the existence of necrosis signs, and the lack of central hilar structure are independent predictive factors for malignancy. The accuracy of each of the aforementioned characteristics are 42.3%, 71.5%, 71.9%, 73.5%, and 65.6%, respectively. Of 74 malignant LNs, 100% had at least one of these independent factors. Conclusions: The morphological features of LNs based on endobronchial ultrasound-guided transbronchial needle aspiration can play a role in predicting malignancy.http://omjournal.org/articleDetails.aspx?coType=1&aId=2579pathologymalignancylymph nodesendosonographyiran
collection DOAJ
language English
format Article
sources DOAJ
author Atefeh Abedini
Fatemeh Razavi
Hossein Mehravaran
Mihan Pourabdollah Toutkaboni
Alireza Kashefizadeh
Habib Emami
Mehdi Kazempour-Dizaji
Mehrdad Farahani
Arda Kiani
spellingShingle Atefeh Abedini
Fatemeh Razavi
Hossein Mehravaran
Mihan Pourabdollah Toutkaboni
Alireza Kashefizadeh
Habib Emami
Mehdi Kazempour-Dizaji
Mehrdad Farahani
Arda Kiani
Identificationof Sonographic Features for Predicting Benign Versus Malignant Mediastinal or Hilar Lymph Nodes Using Endobronchial Ultrasound
Oman Medical Journal
pathology
malignancy
lymph nodes
endosonography
iran
author_facet Atefeh Abedini
Fatemeh Razavi
Hossein Mehravaran
Mihan Pourabdollah Toutkaboni
Alireza Kashefizadeh
Habib Emami
Mehdi Kazempour-Dizaji
Mehrdad Farahani
Arda Kiani
author_sort Atefeh Abedini
title Identificationof Sonographic Features for Predicting Benign Versus Malignant Mediastinal or Hilar Lymph Nodes Using Endobronchial Ultrasound
title_short Identificationof Sonographic Features for Predicting Benign Versus Malignant Mediastinal or Hilar Lymph Nodes Using Endobronchial Ultrasound
title_full Identificationof Sonographic Features for Predicting Benign Versus Malignant Mediastinal or Hilar Lymph Nodes Using Endobronchial Ultrasound
title_fullStr Identificationof Sonographic Features for Predicting Benign Versus Malignant Mediastinal or Hilar Lymph Nodes Using Endobronchial Ultrasound
title_full_unstemmed Identificationof Sonographic Features for Predicting Benign Versus Malignant Mediastinal or Hilar Lymph Nodes Using Endobronchial Ultrasound
title_sort identificationof sonographic features for predicting benign versus malignant mediastinal or hilar lymph nodes using endobronchial ultrasound
publisher Oman Medical Specialty Board
series Oman Medical Journal
issn 1999-768X
2070-5204
publishDate 2020-03-01
description Objectives: In countries with a high prevalence of tuberculosis, such as Iran, the differentiation of malignant from non-malignant tumors is crucial. We attempted to find a reliable model in determining malignant nodes by investigating the sonographic characteristics of lymph nodes (LNs). Methods: In this prospective study, the morphologic characteristics of LNs, including size, shape, vascular pattern, echogenicity, margin, coagulation necrosis sign, calcification, and central hilar structure, which had been obtained during endobronchial ultrasound-guided transbronchial needle aspiration, were compared with the final pathology results. Results: We examined 253 LNs from 93 patients. Round shape, non-hilar vascular pattern, heterogeneous echogenicity, hyperechogenicity, distinct margin, and the existence of necrosis signs were significantly higher in malignant nodes. On the other hand, the existence of calcification, as well as the presence of central hilar structure, were highly suggestive of benign nodes (p < 0.050). Multivariate logistic regression revealed that size > 1 cm, heterogeneous echogenicity, hyperechogenicity, the existence of necrosis signs, and the lack of central hilar structure are independent predictive factors for malignancy. The accuracy of each of the aforementioned characteristics are 42.3%, 71.5%, 71.9%, 73.5%, and 65.6%, respectively. Of 74 malignant LNs, 100% had at least one of these independent factors. Conclusions: The morphological features of LNs based on endobronchial ultrasound-guided transbronchial needle aspiration can play a role in predicting malignancy.
topic pathology
malignancy
lymph nodes
endosonography
iran
url http://omjournal.org/articleDetails.aspx?coType=1&aId=2579
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