Development and Validation of MRI Radiomics Models to Differentiate HER2-Zero, -Low, and -Positive Breast Cancer-Reference-Cited by-同舟云学术

Development and Validation of MRI Radiomics Models to Differentiate HER2-Zero, -Low, and -Positive Breast Cancer

Published:2024-04 Issue:4 Volume:222 Page:
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Peng Yuqin¹²³,Zhang Xiang¹³,Qiu Ya¹³⁴,Li Baoxun¹³,Yang Zehong¹²³,Huang Jiayi¹²³,Lin Jinru¹²³,Zheng Chushan¹³,Hu Lanxin¹³,Shen Jun¹³

Affiliation:

1. Department of Radiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, No. 107 Yanjiang Rd W, Guangzhou 510120, China.

2. Department of Radiology, Shenshan Medical Center, Memorial Hospital of Sun Yat-Sen University, Shanwei, China.

3. Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.

4. Department of Radiology, First People's Hospital of Kashi Prefecture, Kashi, China.

Publisher

American Roentgen Ray Society

Reference38 articles.

1. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

2. Prognostic impact of HER2-low expression in hormone receptor positive early breast cancer

3. The dynamics of HER2-low expression during breast cancer progression

4. Trastuzumab duocarmazine in locally advanced and metastatic solid tumours and HER2-expressing breast cancer: a phase 1 dose-escalation and dose-expansion study

5. Trastuzumab Deruxtecan in Previously Treated HER2-Positive Breast Cancer

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Model Outperformed the Single Radiomics Model in Noninvasively Predicting the HER2 Status in Patients with Breast Cancer;Academic Radiology;2024-08

2. Editorial for “Preoperative Differentiation of HER2‐Zero and HER2‐Low from HER2‐Positive Invasive Ductal Breast Cancers Using BI‐RADS MRI Features and Machine Learning Modeling”;Journal of Magnetic Resonance Imaging;2024-05-16

3. Editor's Notebook: April 2024;American Journal of Roentgenology;2024-04