Research progress of ultrasound radiomics in breast cancer
10.3969/j.issn.1671-8348.2024.20.024
- VernacularTitle:乳腺癌超声影像组学的研究进展
- Author:
Feng XIAN
1
;
Chang ZHOU
;
Li WEI
Author Information
1. 三峡大学第一临床医学院超声科,湖北宜昌 443003
- Keywords:
ultrasound;
radiomics;
breast cancer;
machine learning;
deep learning;
artificial intelligence;
review
- From:
Chongqing Medicine
2024;53(20):3179-3183
- CountryChina
- Language:Chinese
-
Abstract:
Diagnostic methods for breast cancer include the mammography,ultrasound,magnetic reso-nance imaging and biopsy technique,but each method has a certain limitation.The ultrasound radiomics is a newly developing field,which extracts and analyzes the quantitative features in ultrasound images and is help-ful to improve the accuracy of diagnosis and prognosis assessment of related diseases.This technique has been used in the field of breast cancer,can enhance the diagnostic accuracy,help to construct the prognostic model,predict the axillary lymph node metastasis,monitor the treatment response and guide the personalized treat-ment.The future research directions may include integrating multimodal data,customizing diagnostic and treatment strategies,optimizing machine learning and artificial intelligence algorithms,establishing the stand-ardized methods,conducting the clinical validation and monitoring the treatment effects.However,there are several challenges that need to be addressed,such as establishing the standardized methods,improving the im-age quality,ensuring the data security and privacy,and verifying the reliability and practicality of features in order to widely apply the ultrasound radiomics technology in breast cancer field,thus improve the treatment effect and survival rate of the patients.
