Integration of Clinical and CT-Based Radiomic Features for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Breast Cancer

Integration of Clinical and CT-Based Radiomic Features for Pretreatment Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Breast Cancer

The purpose of the present study was to examine the potential of a machine learning model with integrated clinical and CT-based radiomics features in predicting pathologic complete response (pCR) to neoadjuvant systemic therapy (NST) in breast cancer. Contrast-enhanced CT was performed in 329 patien...

Full description

Bibliographic Details
Main Authors: Huei-Yi Tsai, Tsung-Yu Tsai, Chia-Hui Wu, Wei-Shiuan Chung, Jo-Ching Wang, Jui-Sheng Hsu, Ming-Feng Hou, Ming-Chung Chou
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Cancers
Subjects:
breast neoplasm
neoadjuvant therapy
computed tomography
radiomics
machine learning
Online Access:https://www.mdpi.com/2072-6694/14/24/6261

Internet

https://www.mdpi.com/2072-6694/14/24/6261

Similar Items