Habitat imaging radiomics of chest CT identifies noninfectious acute exacerbations in chronic obstructive pulmonary disease

In conclusion, this study segmented whole-lung CT scans of noninfectious AECOPD patients into habitat subregions, developing a radiomics model that demonstrated strong diagnostic efficacy. This approach provides an objective imaging biomarker and a potential tool for quantifying COPD heterogeneity.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-01-05
DOI
https://doi.org/10.3389/fmed.2025.1719017
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Habitat imaging radiomics of chest CT identifies noninfectious acute exacerbations in chronic obstructive pulmonary disease

Bo Li, Yafang Zheng, Yimeng Zhang, Daqiang Sun et al.
Frontiers in Medicine
Radiomics and Machine Learning in Medical Imaging
article

Habitat imaging radiomics of chest CT identifies noninfectious acute exacerbations in chronic obstructive pulmonary disease

Bo Li, Yafang Zheng, Yimeng Zhang, Daqiang Sun, Zhenxing Feng, Li Zhou, Jiwei Sun, Hong Zhang, Yi Li, Baozhen Ge, Shuo Liang, Minghui Hua
article en

Abstract

In conclusion, this study segmented whole-lung CT scans of noninfectious AECOPD patients into habitat subregions, developing a radiomics model that demonstrated strong diagnostic efficacy. This approach provides an objective imaging biomarker and a potential tool for quantifying COPD heterogeneity.

Frontiers in MedicineVol. 12
Tianjin University (CN), Tianjin Chest Hospital (CN)
Openalex Percentile: Top 97%
Radiomics and Machine Learning in Medical Imaging
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