Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer-Reference-Cited by-同舟云学术

Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer

Published:2023-03-28 Issue:8 Volume:33 Page:5634-5644
ISSN:1432-1084
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Yu Fei-Hong,Miao Shu-Mei,Li Cui-Ying,Hang Jing,Deng Jing,Ye Xin-Hua,Liu Yun

Funder

the industry prospecting and common key technology key projects of Jiangsu Province Science and Technology Department

the National key Research & Development plan of Ministry of Science and Technology of China

Transformation Program of Scientific and Technological Achievements of Jiangsu Province

he Industrial and Information Industry Transformation and Upgrading Special Fund of Jiangsu Province in 2018

the Key Project of Smart Jiangsu in 2021

the Key Project of Smart Jiangsu in 2020

Jiangsu Province Engineering Research Center of Big Data Application in Chronic Disease and Intelligent Health Service

Young Scholars Fostering Fund of the First Affiliated Hospital of Nanjing Medical University

Nanjing Postdoctoral Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-023-09555-7.pdf

Reference38 articles.

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2. Mittendorf EA, Vila J, Tucker SL et al (2016) The Neo-Bioscore update for staging breast cancer treated with neoadjuvant chemotherapy: incorporation of prognostic biologic factors into staging after treatment. JAMA Oncol 2:929–36

3. Zardavas D, Irrthum A, Swanton C et al (2015) Clinical management of breast cancer heterogeneity. Nat Rev Clin Oncol 12:381–94

4. Fowler AM, Mankoff DA, Joe BN (2017) Imaging neoadjuvant therapy response in breast cancer. Radiology 285:358–375

5. Li HM, Yao L, Jin PH et al (2018) MRI and PET/CT for evaluation of the pathological response to neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis. Breast 40:106–115

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