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Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer using a Longitudinal US-based Stack-model

delete2026-07-02
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PRE
AI
X
Xin Li
J
Jiafei Shen
Y
Yuqi Yan
L
Lin Sui
L
Lingyan Zhou
Z
Zhiyan Jin
D
Di Ou
Z
Zhirui Chuan
M
Mingjie Jin
X
Xiaomao Luo
S
Shihao Xu
D
Dong Xu
DOI：10.1016/j.acra.2026.06.010delete
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Abstract

Abstract

En 中文
To evaluate the diagnostic performance of a longitudinal ultrasound (US)-based stack-model for early prediction of pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in breast cancer, as well as its practicality in assisting radiologists with diagnostic ability.

Journal

Academic Radiology cover
Academic Radiology
IF:
3.9
Papers:
8.6K
Citations:
1.0W

Organization

C
china university of mining and technology
Scholars:
4.8K
Papers: 1.7K
Citations: 0
T
The First Affiliated Hospital of Wenzhou Medical University
Scholars:
1.4K
Papers: 429
Citations: 1
Z
zhejiang chinese medical university
Scholars:
4.2K
Papers: 1.4K
Citations: 0
Z
Zhejiang Cancer Hospital
Scholars:
3.9K
Papers: 2.4K
Citations: 5.2K
P
peking university cancer hospital yunnan hospital and yunnan cancer hospital and third affiliated hospital of kunming medical university
Scholars:
3
Papers: 1
Citations: 0
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