Construction of a nomogram prediction model for the pathological complete response after neoadjuvant chemotherapy in breast cancer: a study based on ultrasound and clinicopathological features

Regardless of the cycle of NAC, patients with a small tumor, no posterior shadow, a valid RECIST, and a negative PR were more likely to achieve pCR. Evaluation after NAC2 can provide early predictive value in clinical practice.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-03-06
DOI
https://doi.org/10.3389/fonc.2025.1459914
Citations
2
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
1.87
Controls
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article

Construction of a nomogram prediction model for the pathological complete response after neoadjuvant chemotherapy in breast cancer: a study based on ultrasound and clinicopathological features

Feixue Zhang, Xiuliang Wei, Pingjuan Ni, Mei Wu et al.
2 citations
Frontiers in Oncology
Breast Cancer Treatment Studies
1.87
article

Construction of a nomogram prediction model for the pathological complete response after neoadjuvant chemotherapy in breast cancer: a study based on ultrasound and clinicopathological features

Feixue Zhang, Xiuliang Wei, Pingjuan Ni, Mei Wu, Wenhui Liu, Lulu Zhang, Yu Wang, Yuan Li
article en
2 citations

Abstract

Regardless of the cycle of NAC, patients with a small tumor, no posterior shadow, a valid RECIST, and a negative PR were more likely to achieve pCR. Evaluation after NAC2 can provide early predictive value in clinical practice.

Frontiers in OncologyVol. 15
Second Hospital of Shandong University (CN)
Good health and well-being
Openalex Percentile: Top 16%
Breast Cancer Treatment Studies
1.87
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