Prediction of human epidermal growth factor receptor 2 (HER2) status in breast cancer by mammographic radiomics features and clinical characteristics: a multicenter study-Reference-Cited by-同舟云学术

Prediction of human epidermal growth factor receptor 2 (HER2) status in breast cancer by mammographic radiomics features and clinical characteristics: a multicenter study

Published:2024-01-26 Issue:8 Volume:34 Page:5464-5476
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Deng Yalan,Lu Yiping,Li Xuanxuan,Zhu Yuqi,Zhao Yajing,Ruan Zhuoying,Mei Nan,Yin Bo,Liu Li^ORCID

Funder

Clinical Research Plan of SHDC

Medical Engineering Fund of Fudan University

Shanghai Sailing Program

Youth Medical Talents –Medical Imaging Practitioner Program

Shanghai Municipal Science and Technology Major Project

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00330-024-10607-9.pdf

Reference41 articles.

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2. Bitencourt AGV, Gibbs P, Rossi Saccarelli C et al (2020) MRI-based machine learning radiomics can predict HER2 expression level and pathologic response after neoadjuvant therapy in HER2 overexpressing breast cancer. EBioMedicine 61:103042

3. Ocaña A, Amir E, Pandiella A (2020) HER2 heterogeneity and resistance to anti-HER2 antibody-drug conjugates. Breast Cancer Res 22(1):15

4. Loibl S, Gianni L (2017) HER2-positive breast cancer. Lancet 389(10087):2415–2429

5. Korde LA, Somerfield MR, Carey LA et al (2021) Neoadjuvant chemotherapy, endocrine therapy, and targeted therapy for breast cancer: ASCO Guideline. J Clin Oncol 39(13):1485–1505

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