Objectives. To develop and validate a radiomics‐based nomogram with texture features
from mammography for the prognostic prediction in patients with early‐stage triple‐negative …

Radiomic features hold potential to improve prediction of disease-free survival (DFS) in triple-
negative breast cancer (TNBC) and may show better performance if developed from TNBC …

Objectives: To explore the predictive value of radiomics nomogram using pretreatment
ultrasound for disease-free survival (DFS) after resection of triple negative breast cancer …

Objectives: Triple-negative breast cancer (TNBC) is a heterogeneous disease, and different
histological subtypes of TNBC have different clinicopathological features and prognoses …

Purpose To establish radiomics prediction models based on automatic segmented magnetic
resonance imaging (MRI) for predicting the systemic recurrence of triple-negative breast …

Objective This study aimed to incorporate clinicopathological, sonographic, and
mammographic characteristics to construct and validate a nomogram model for predicting …

This paper evaluated 3-dimensional radiomics features of breast magnetic resonance
imaging (MRI) as prognostic factors for predicting systemic recurrence in triple-negative …

Objective This study is aimed to explore the value of mammography-based radiomics
signature for preoperative prediction of triple-negative breast cancer (TNBC). Materials and …

Objectives Patients with triple‐negative breast cancer (TNBC) exhibit a fast tumor growth
rate and poor survival outcomes. In this study, we aimed to develop and compare intelligent …

Purpose This study aimed to develop a radiomics nomogram based on grayscale ultrasound
(US) to distinguish triple-negative breast cancer (TNBC) from non-triple-negative breast …