Development and validation of an 18F-FDG PET/CT radiomic nomogram for predicting axillary lymph-node status after neoadjuvant chemotherapy for breast cancer: a multicenter study

It is necessary to pre-process the data before conducting a study on multicenter data, and the model developed in this way can effectively predict the status of ALN after NAC in breast cancer.

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Publication Details

Journal
Annals of Nuclear Medicine
Published
2025-08-17
DOI
https://doi.org/10.1007/s12149-025-02099-4
Citations
2
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
2.72
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article

Development and validation of an 18F-FDG PET/CT radiomic nomogram for predicting axillary lymph-node status after neoadjuvant chemotherapy for breast cancer: a multicenter study

Kun Chen, H K BERNIE HUANG, Li Yu, Luqiang Jin
2 citations
Annals of Nuclear Medicine
Radiomics and Machine Learning in Medical Imaging
2.72
article

Development and validation of an 18F-FDG PET/CT radiomic nomogram for predicting axillary lymph-node status after neoadjuvant chemotherapy for breast cancer: a multicenter study

Kun Chen, H K BERNIE HUANG, Li Yu, Luqiang Jin
article en
2 citations

Abstract

It is necessary to pre-process the data before conducting a study on multicenter data, and the model developed in this way can effectively predict the status of ALN after NAC in breast cancer.

Annals of Nuclear MedicineVol. 39(12)
Chinese Academy of Sciences (CN), Zhejiang Cancer Hospital (CN), Hangzhou Medical College (CN)
Openalex Percentile: Top 9%
Radiomics and Machine Learning in Medical Imaging
2.72
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