Development and validation of a CT-based radiomics nomogram for predicting progression-free survival in patients with small cell lung cancer

A clinical-radiomics fusion nomogram was constructed to estimate the probability of PFS based on clinical risk factors and the rad-score.

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Publication Details

Journal
BMC Medical Imaging
Published
2025-05-06
DOI
https://doi.org/10.1186/s12880-025-01691-4
Citations
1
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
1.36

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article

Development and validation of a CT-based radiomics nomogram for predicting progression-free survival in patients with small cell lung cancer

Xuan Zhuang, Wei Li, Liang Jin, Nan Yang et al.
1 citations
BMC Medical Imaging
Radiomics and Machine Learning in Medical Imaging
1.36
article

Development and validation of a CT-based radiomics nomogram for predicting progression-free survival in patients with small cell lung cancer

Xuan Zhuang, Wei Li, Liang Jin, Nan Yang, Ming Li, Xin Wang
article en
1 citations

Abstract

A clinical-radiomics fusion nomogram was constructed to estimate the probability of PFS based on clinical risk factors and the rad-score.

BMC Medical ImagingVol. 25(1)
Fudan University (CN), Huadong Hospital (CN)
National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 21%
Radiomics and Machine Learning in Medical Imaging
1.36
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