Development and validation of a CT-based habitat radiomics model for predicting pathological grading in non-small cell lung cancer

Habitat radiomics significantly improves NSCLC pathological grading. The multimodal model offers robust performance and high specificity, aiding personalized treatment planning.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-02-12
DOI
https://doi.org/10.3389/fmed.2026.1722634
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

Development and validation of a CT-based habitat radiomics model for predicting pathological grading in non-small cell lung cancer

Xie De-xuan, Ming Xue, Xigang Xiao, Chongyang Sun
Frontiers in Medicine
Radiomics and Machine Learning in Medical Imaging
article

Development and validation of a CT-based habitat radiomics model for predicting pathological grading in non-small cell lung cancer

Xie De-xuan, Ming Xue, Xigang Xiao, Chongyang Sun
article en

Abstract

Habitat radiomics significantly improves NSCLC pathological grading. The multimodal model offers robust performance and high specificity, aiding personalized treatment planning.

Frontiers in MedicineVol. 13
Harbin Medical University (CN), First Affiliated Hospital of Harbin Medical University (CN)
Life in Land
Openalex Percentile: Top 58%
Radiomics and Machine Learning in Medical Imaging
DOIOpen Access PDFOpenAlex
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