Distinguishing nontuberculous mycobacterial lung disease from pulmonary tuberculosis using radiomics machine learning models from CT images

The YeoJohnson_LR (LDA) model can be used to distinguish NTM-LD from PTB, assisting in rapid clinical diagnosis and benefiting patients with NTM-LD.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-01-21
DOI
https://doi.org/10.3389/fmed.2026.1721949
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Distinguishing nontuberculous mycobacterial lung disease from pulmonary tuberculosis using radiomics machine learning models from CT images

Weiqiang Shu, X C Liu, Yueqin Gao, Fang Wang et al.
Frontiers in Medicine
Radiomics and Machine Learning in Medical Imaging
article

Distinguishing nontuberculous mycobacterial lung disease from pulmonary tuberculosis using radiomics machine learning models from CT images

Weiqiang Shu, X C Liu, Yueqin Gao, Fang Wang, Yurui Li, Shengxiu Lv, Jiaofeng Zheng, Zhiyang He, Xiangxin Zeng
article en

Abstract

The YeoJohnson_LR (LDA) model can be used to distinguish NTM-LD from PTB, assisting in rapid clinical diagnosis and benefiting patients with NTM-LD.

Frontiers in MedicineVol. 13
United Imaging Healthcare (China) (CN), Public Health Clinical Center of Chengdu (CN), Chongqing Public Health Medical Center (CN)
Reduced inequalities
Openalex Percentile: Top 83%
Radiomics and Machine Learning in Medical Imaging
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