A delta radiomics model based on ultrasound images predicts response to neoadjuvant therapy in triple negative breast cancer

The delta radiomics model based on ultrasound images has good predictive value for predicting pCR after NAT in TNBC and has the potential for clinical application.

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Publication Details

Journal
Journal of Applied Clinical Medical Physics
Published
2025-11-23
DOI
https://doi.org/10.1002/acm2.70384
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00
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article

A delta radiomics model based on ultrasound images predicts response to neoadjuvant therapy in triple negative breast cancer

Heng Du, Xiuling Ma, Shuangxiu Tan, Qiaoliang Chen et al.
Journal of Applied Clinical Medical Physics
Radiomics and Machine Learning in Medical Imaging
article

A delta radiomics model based on ultrasound images predicts response to neoadjuvant therapy in triple negative breast cancer

Heng Du, Xiuling Ma, Shuangxiu Tan, Qiaoliang Chen, Xiaoying Qin
article en

Abstract

The delta radiomics model based on ultrasound images has good predictive value for predicting pCR after NAT in TNBC and has the potential for clinical application.

Journal of Applied Clinical Medical PhysicsVol. 26(12)
Nanjing Drum Tower Hospital (CN), Nanjing Medical University (CN), Nanjing University (CN)
Openalex Percentile: Top 49%
Radiomics and Machine Learning in Medical Imaging
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