Value of Endobronchial Ultrasound-Derived Radiomics in Differentiating Pulmonary Sarcoidosis from Mediastinal Lymph Node Tuberculosis

The SVM model based on EBUS ultrasound radiomics and clinical data shows promising feasibility for differentiating pulmonary sarcoidosis from mediastinal lymph node tuberculosis. It exhibits significant potential in clinical practice and provides a new method for the early diagnosis of these conditions.

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Publication Details

Journal
Respiration
Published
2026-03-17
DOI
https://doi.org/10.1159/000551556
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Value of Endobronchial Ultrasound-Derived Radiomics in Differentiating Pulmonary Sarcoidosis from Mediastinal Lymph Node Tuberculosis

Wenjia Hu, X. B. Li, Quncheng Zhang, Huizhen Yang et al.
Respiration
Radiomics and Machine Learning in Medical Imaging
article

Value of Endobronchial Ultrasound-Derived Radiomics in Differentiating Pulmonary Sarcoidosis from Mediastinal Lymph Node Tuberculosis

Wenjia Hu, X. B. Li, Quncheng Zhang, Huizhen Yang, Haiyang Liu, Feifei Wen, Mengyu Zhao, Felix JF Herth, Xiaoju Zhang
article en

Abstract

The SVM model based on EBUS ultrasound radiomics and clinical data shows promising feasibility for differentiating pulmonary sarcoidosis from mediastinal lymph node tuberculosis. It exhibits significant potential in clinical practice and provides a new method for the early diagnosis of these conditions.

Respiration
Good health and well-being
Openalex Percentile: Top 19%
Radiomics and Machine Learning in Medical Imaging
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