Radiomics-based analysis of dynamic contrast-enhanced magnetic resonance image: A prediction nomogram for lymphovascular invasion in breast cancer-Reference-Cited by-同舟云学术

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Radiomics-based analysis of dynamic contrast-enhanced magnetic resonance image: A prediction nomogram for lymphovascular invasion in breast cancer

Published:2024-10 Issue: Volume:112 Page:89-99
ISSN:0730-725X
Container-title:Magnetic Resonance Imaging
language:en
Short-container-title:Magnetic Resonance Imaging

Author:

Yang Xiuqi,Wang Xuefei,Zuo Zhichao,Zeng Weihua,Liu Haibo,Zhou Lu,Wen Yizhou,Long Chuang,Tan Siying,Li Xiong,Zeng Ying

Publisher

Elsevier BV

Reference38 articles.

1. Development of a risk-stratification scoring system for predicting lymphovascular invasion in breast cancer;Ni-jia-ti;BMC Cancer,2020

2. The prognostic significance of lymphovascular invasion in invasive breast carcinoma;Rakha;Cancer,2012

3. Longitudinal dynamic contrast-enhanced MRI radiomic models for early prediction of response to neoadjuvant systemic therapy in triple-negative breast cancer;Panthi;Front Oncol,2023

4. Intratumoral and Peritumoral Radiomics based on preoperative MRI for evaluation of programmed cell death Ligand-1 expression in breast Cancer;Wu;J Magn Reson Imaging,2023

5. MRI breast: current imaging trends, clinical applications, and future research directions;Rahmat;Curr Med Imaging,2022

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