Rationale and Objectives This study aimed to create and verify a nomogram for preoperative
prediction of Ki-67 expression in breast malignancy to assist in the development of …

Objective To develop and validate a radiomics nomogram that could incorporate
clinicopathological characteristics and ultrasound (US)-based radiomics signature to non …

Objective The aim of this study was to develop and validate an ultrasound-based radiomics
nomogram model by integrating the clinical risk factors and radiomics score (Rad-Score) to …

Purpose The objective of this research was to develop and validate an ultrasound‐based
radiomics nomogram for the pre‐operative assessment of Ki‐67 in breast cancer (BC) …

Rationale and Objectives This study aims to investigate the value of a magnetic resonance
imaging–based radiomics classifier for preoperatively predicting the Ki-67 status in patients …

Background Traditional immunohistochemistry assessment of Ki-67 in breast cancer (BC)
via core needle biopsy is invasive, inaccurate, and nonrepeatable. While machine learning …

Background Histological grade is an important factor in the overall prognosis of patients with
invasive breast cancer. Therefore, the non-invasive assessment of histological grade in …

Purpose To noninvasively evaluate the use of intratumoral and peritumoral regions from full-
field digital mammography (DM), digital breast tomosynthesis (DBT), dynamic contrast …

Rationale and Objectives The purpose of this systematic review and meta-analysis was to
assess the quality and diagnostic accuracy of MRI-based radiomics for predicting Ki-67 …

Introduction The molecular subtype plays a significant role in breast carcinoma (BC), which
is the main indicator to guide treatment and is closely associated with prognosis. The aim of …