Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-Suppressed T2 Sequence-Reference-Cited by-同舟云学术

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Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-Suppressed T2 Sequence

Published:2020-09 Issue:9 Volume:27 Page:1217-1225
ISSN:1076-6332
Container-title:Academic Radiology
language:en
Short-container-title:Academic Radiology

Author:

Tan Hongna,Gan Fuwen,Wu Yaping,Zhou Jing,Tian Jie,Lin Yusong,Wang Meiyun

Funder

China Postdoctoral Science Foundation

National Natural Scientific Foundation of China

Henan Provincial Department of Science and Technology Research Project

Publisher

Elsevier BV

Subject

Radiology Nuclear Medicine and imaging

Reference32 articles.

1. Global cancer statistics, 2012;Torre;CA Cancer J Clin,2015

2. Breast cancer statistics, 2015: convergence of incidence rates between black and white women;DeSantis;CA Cancer J Clin,2016

3. Breast cancer metastasis: markers and models;Weigelt;Nat Rev Cancer,2005

4. Significance of axillary lymph node metastasis in primary breast cancer;Jatoi;J Clin Oncol,1999

5. Management of the axilla in the patient with breast cancer;Park;Surg Clin N Am,2018

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1. An unsupervised learning model based on CT radiomics features accurately predicts axillary lymph node metastasis in breast cancer patients: diagnostic study;International Journal of Surgery;2024-06-07

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