# Ultrasound-based radiomics for the evaluation of breast cancer

## TL;DR

This review explores how ultrasound-based radiomics can improve breast cancer diagnosis and treatment by analyzing medical images for hidden tumor features.

## Contribution

The paper provides a comprehensive review of recent advances and challenges in ultrasound radiomics for breast cancer evaluation.

## Key findings

- Ultrasound radiomics can help distinguish benign from malignant breast lesions.
- It can predict molecular subtypes and lymph node status in breast cancer.
- The approach shows potential in assessing chemotherapy response and disease prognosis.

## Abstract

Breast cancer is the most common cancer among women all over the world. Ultrasound examination is instrumental in breast lesion screening, diagnosis and prognosis assessment, relying on non-radiation, inexpensiveness and real-time operation. However, it still has some limitations in diagnostic sensitivity and specificity. Radiomics aims at extracting high-throughput quantitative features from medical images, so as to deeply mine image information and further discover tumor features that cannot be discerned by naked eyes. Ultrasound radiomics models are gradually applied in evaluating breast cancer diagnosis and therapy, aiming to help with the precise diagnosis, prediction and treatment. This review summarizes the recent research progress of ultrasound radiomics in diagnosing benign and malignant breast lesion, predicting molecular subtype, lymph node status, neoadjuvant chemotherapy response and disease prognosis. Besides, the review also discusses the challenges and future research perspectives regarding ultrasound-based radiomics for the evaluation of breast cancer.