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Published in: BMC Pulmonary Medicine 1/2021

Open Access 01-12-2021 | Tuberculosis | Research

Application of neck ultrasound in the diagnosis of sarcoidosis

Authors: Mengjun Shen, Ying Zhou, Weiqing Gu, Chengsheng Yin, Yin Wang, Yuan Zhang

Published in: BMC Pulmonary Medicine | Issue 1/2021

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Abstract

Objective

To explore the significance of neck ultrasound (NUS) combined with contrast-enhanced ultrasound (CEUS) in the diagnosis of sarcoidosis.

Methods

88 patients with evidence of intrathoracic lymphadenopathy and suspected sarcoidosis with enlarged cervical lymph nodes underwent NUS, CEUS, fine-needle aspiration and core needle biopsy when technically feasible were retrospectively analyzed in this study. Seven characteristics such as enhanced mode (EM), resolution time, color Doppler flow imaging (CDFI), fading time, peaking state-uniformity, strengthen the area and symmetry were considered to perform the logistic regression model.

Results

Of 88 patients included in this study, sarcoidosis was accounted in 20 cases, tuberculosis in 23 cases, malignancy in 22 cases and inflammatory lymph node in 23 cases. There were statistically significant differences in symmetry, lymphatic hilum, homogeneity, CDFI pattern and elasticity score between the sarcoidosis and non-sarcoidosis groups via NUS. Similarly, we also acknowledged a statistically significant differences in EM, homogeneity, presence or absence of necrosis between the sarcoidosis and non-sarcoidosis groups via CEUS to further group the non-sarcoidosis into tuberculosis, malignancy or inflammatory disorder. The percentage correction of prediction was 90% (18/20).

Conclusion

NUS combined with CEUS has characteristic features in sarcoidosis with cervical lymph node involvement, which is helpful for its diagnosis and differential diagnosis. The binary classification model of NUS combined with CEUS features can help differentiate sarcoidosis from non-sarcoidosis groups.
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Metadata
Title
Application of neck ultrasound in the diagnosis of sarcoidosis
Authors
Mengjun Shen
Ying Zhou
Weiqing Gu
Chengsheng Yin
Yin Wang
Yuan Zhang
Publication date
01-12-2021
Publisher
BioMed Central
Published in
BMC Pulmonary Medicine / Issue 1/2021
Electronic ISSN: 1471-2466
DOI
https://doi.org/10.1186/s12890-021-01769-z

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