3T MRI-radiomic approach to predict for lymph node status in breast cancer patients

D Santucci, E Faiella, E Cordelli, R Sicilia, C de Felice… - Cancers, 2021 - mdpi.com
Simple Summary Breast cancer is the most common cancer in women worldwide. The
axillary lymph node status is one of the main prognostic factors. Currently, the methods to …

Radiomics MRI for lymph node status prediction in breast cancer patients: the state of art

A Calabrese, D Santucci, R Landi… - Journal of Cancer …, 2021 - Springer
Objectives To create a review of the existing literature on the radiomic approach in
predicting the lymph node status of the axilla in breast cancer (BC). Materials and methods …

MRI radiomics of breast cancer: machine learning-based prediction of lymphovascular invasion status

Y Kayadibi, B Kocak, N Ucar, YN Akan, E Yildirim… - Academic …, 2022 - Elsevier
Rationale and Objectives In patients with breast cancer (BC), lymphovascular invasion (LVI)
status is considered an important prognostic factor. We aimed to develop machine learning …

Diagnostic performance of radiomics in predicting axillary lymph node metastasis in breast cancer: a systematic review and meta-analysis

X Gong, Y Guo, T Zhu, X Peng, D Xing… - Frontiers in …, 2022 - frontiersin.org
Background This study aimed to perform a meta‐analysis to evaluate the diagnostic
performance of radiomics in predicting axillary lymph node metastasis (ALNM) and sentinel …

Machine learning prediction of axillary lymph node metastasis in breast cancer: 2D versus 3D radiomic features

D Arefan, R Chai, M Sun, ML Zuley, S Wu - Medical physics, 2020 - Wiley Online Library
Purpose The purpose of this study was to distinguish axillary lymph node (ALN) status using
preoperative breast DCE‐MRI radiomics and compare the effects of two‐dimensional (2D) …

Radiomics nomogram for predicting axillary lymph node metastasis in breast cancer based on DCE-MRI: a multicenter study

J Zhang, Z Zhang, N Mao, H Zhang… - Journal of X-Ray …, 2023 - content.iospress.com
OBJECTIVES: This study aims to develop and validate a radiomics nomogram based on
dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to noninvasively …

MRI-based radiomics for preoperative prediction of lymphovascular invasion in patients with invasive breast cancer

M Nijiati, D Aihaiti, A Huojia, A Abulizi… - Frontiers in …, 2022 - frontiersin.org
Objective Preoperative identification of lymphovascular invasion (LVI) in patients with
invasive breast cancer is challenging due to absence of reliable biomarkers or tools in …

Application of breast MRI for prediction of lymph node metastases–systematic approach using 17 individual descriptors and a dedicated decision tree

M Dietzel, PAT Baltzer, T Vag, T Gröschel… - Acta …, 2010 - Taylor & Francis
Background: The presence of lymph node metastases (LNMs) is one of the most important
prognostic factors in breast cancer. Purpose: To correlate a detailed catalog of 17 …

Preoperative prediction of axillary lymph node metastasis in breast cancer using mammography-based radiomics method

J Yang, T Wang, L Yang, Y Wang, H Li, X Zhou… - Scientific reports, 2019 - nature.com
It is difficult to accurately assess axillary lymph nodes metastasis and the diagnosis of
axillary lymph nodes in patients with breast cancer is invasive and has low-sensitivity …

Radiomics nomogram of DCE-MRI for the prediction of axillary lymph node metastasis in breast cancer

N Mao, Y Dai, F Lin, H Ma, S Duan, H Xie… - Frontiers in …, 2020 - frontiersin.org
Purpose This study aimed to establish and validate a radiomics nomogram based on
dynamic contrast-enhanced (DCE)-MRI for predicting axillary lymph node (ALN) metastasis …