Radiomic Machine Learning in Invasive Ductal Breast Cancer: Prediction of Ki-67 Expression Level Based on Radiomics of DCE-MRI

Radiomic Machine Learning in Invasive Ductal Breast Cancer: Prediction of Ki-67 Expression Level Based on Radiomics of DCE-MRI

Purpose Our study aimed to investigate the potential of radiomics with DCE-MRI for predicting Ki-67 expression in invasive ductal breast cancer. Method We conducted a retrospective study including 223 patients diagnosed with invasive ductal breast cancer. Radiomics features were extracted from DCE-M...

Full description

Bibliographic Details
Main Authors: Huan Yang MM, Wenxi Wang MM, Zhiyong Cheng MM, Tao Zheng MD, Cheng Cheng MD, Mengyu Cheng MM, Zhanqiu Wang MM
Format: Article
Language:English
Published: SAGE Publishing 2024-10-01
Series:Technology in Cancer Research & Treatment
Online Access:https://doi.org/10.1177/15330338241288751

Internet

https://doi.org/10.1177/15330338241288751

Similar Items