Literature DB >> 28324873

Endobronchial Ultrasound Elastography for Evaluation of Intrathoracic Lymph Nodes: A Pilot Study.

Jiayuan Sun1, Xiaoxuan Zheng, Xiaowei Mao, Lei Wang, Hongkai Xiong, Felix J F Herth, Baohui Han.   

Abstract

BACKGROUND: Endobronchial ultrasound (EBUS) elastography is a new imaging procedure for describing the elasticity of intrathoracic lesions and providing important additional diagnostic information.
OBJECTIVES: The aim of this study was to utilize the feasibility of qualitative and quantitative methods to evaluate the ability of EBUS elastography to differentiate between benign and malignant mediastinal and hilar lymph nodes (LNs) during EBUS-guided transbronchial needle aspiration (EBUS-TBNA).
METHODS: Patients with enlarged intrathoracic LNs required for EBUS-TBNA examination at a clinical center for thoracic medicine from January 2014 to April 2014 were prospectively enrolled. EBUS sonographic characteristics on B-mode, vascular patterns and elastography, EBUS-TBNA procedures, pathological findings, and microbiological results were recorded. Furthermore, elastographic patterns (qualitative method) and the mean gray value inside the region of interest (quantitative method) were analyzed. Both methods were compared with a definitive diagnosis of the involved LNs.
RESULTS: Fifty-six patients including 68 LNs (33 benign and 35 malignant nodes) were prospectively enrolled into this study and retrospectively analyzed. Using qualitative and quantitative methods, we were able to differentiate between benign and malignant LNs with high sensitivity, specificity, positive and negative predictive values, and accuracy (85.71, 81.82, 83.33, 84.38, and 83.82% vs. 91.43, 72.73, 78.05, 88.89, and 82.35%, respectively).
CONCLUSIONS: EBUS elastography is potentially capable of further differentiating between benign and malignant LNs. These proposed qualitative and quantitative methods might be useful tools for describing EBUS elastography during EBUS-TBNA.
© 2017 S. Karger AG, Basel.

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Mesh:

Year:  2017        PMID: 28324873     DOI: 10.1159/000464253

Source DB:  PubMed          Journal:  Respiration        ISSN: 0025-7931            Impact factor:   3.580


  8 in total

1.  Scoring model of convex probe endobronchial ultrasound multimodal imaging in differentiating benign and malignant lung lesions.

Authors:  Xinxin Zhi; Lei Wang; Junxiang Chen; Xiaoxuan Zheng; Ying Li; Jiayuan Sun
Journal:  J Thorac Dis       Date:  2020-12       Impact factor: 2.895

2.  Diagnostic value of radial endobronchial ultrasonographic features in predominant solid peripheral pulmonary lesions.

Authors:  Xiaoxuan Zheng; Lei Wang; Jie Chen; Fangfang Xie; Yifeng Jiang; Jiayuan Sun
Journal:  J Thorac Dis       Date:  2020-12       Impact factor: 2.895

3.  Diagnostic value of endobronchial ultrasound elastography combined with rapid onsite cytological evaluation in endobronchial ultrasound-guided transbronchial needle aspiration.

Authors:  Jing Huang; Yuan Lu; Xihua Wang; Xiaoli Zhu; Ping Li; Jing Chen; Pingsheng Chen; Ming Ding
Journal:  BMC Pulm Med       Date:  2021-12-20       Impact factor: 3.317

4.  Combination of 18F-FDG PET/CT and convex probe endobronchial ultrasound elastography for intrathoracic malignant and benign lymph nodes prediction.

Authors:  Xinxin Zhi; Xiaoyan Sun; Junxiang Chen; Lei Wang; Lin Ye; Ying Li; Wenhui Xie; Jiayuan Sun
Journal:  Front Oncol       Date:  2022-08-05       Impact factor: 5.738

5.  Automatic Image Selection Model Based on Machine Learning for Endobronchial Ultrasound Strain Elastography Videos.

Authors:  Xinxin Zhi; Jin Li; Junxiang Chen; Lei Wang; Fangfang Xie; Wenrui Dai; Jiayuan Sun; Hongkai Xiong
Journal:  Front Oncol       Date:  2021-05-31       Impact factor: 6.244

6.  Semi-quantitative Analysis of EBUS Elastography as a Feasible Approach in Diagnosing Mediastinal and Hilar Lymph Nodes of Lung Cancer Patients.

Authors:  Honghai Ma; Zhou An; Pinghui Xia; Jinlin Cao; Qiqi Gao; Guoping Ren; Xing Xue; Xianhua Wang; Zhehao He; Jian Hu
Journal:  Sci Rep       Date:  2018-02-23       Impact factor: 4.379

7.  Quantitative analysis of endobronchial ultrasound elastography in computed tomography-negative mediastinal and hilar lymph nodes.

Authors:  Keigo Uchimura; Kei Yamasaki; Shinji Sasada; Sachika Hara; Issei Ikushima; Yosuke Chiba; Takashi Tachiwada; Toshinori Kawanami; Kazuhiro Yatera
Journal:  Thorac Cancer       Date:  2020-07-21       Impact factor: 3.500

8.  Deep learning with convex probe endobronchial ultrasound multimodal imaging: A validated tool for automated intrathoracic lymph nodes diagnosis.

Authors:  Jin Li; Xinxin Zhi; Junxiang Chen; Lei Wang; Mingxing Xu; Wenrui Dai; Jiayuan Sun; Hongkai Xiong
Journal:  Endosc Ultrasound       Date:  2021 Sep-Oct       Impact factor: 5.628

  8 in total

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