[HTML][HTML] Prediction of Receptor Status in Radiomics: Recent Advances in Breast Cancer Research

JY Lin, JY Ye, JG Chen, ST Lin, S Lin, SQ Cai - Academic Radiology, 2023 - Elsevier
Breast cancer is a multifactorial heterogeneous disease and the leading cause of cancer-
related deaths in women; its diagnosis and treatment require clinical sensitivity and a …

[HTML][HTML] Diagnostic performance of ultrasound-based artificial intelligence for predicting key molecular markers in breast cancer: A systematic review and meta …

Y Fu, J Zhou, J Li - Plos one, 2024 - journals.plos.org
Background Breast cancer (BC) diagnosis and treatment rely heavily on molecular markers
such as HER2, Ki67, PR, and ER. Currently, these markers are identified by invasive …

[HTML][HTML] Performance evaluation of ML models for preoperative prediction of HER2-low BC based on CE-CBBCT radiomic features: A prospective study

X Chen, M Li, X Liang, D Su - Medicine, 2024 - journals.lww.com
To explore the value of machine learning (ML) models based on contrast-enhanced cone-
beam breast computed tomography (CE-CBBCT) radiomics features for the preoperative …

Predictive value for axillary lymph node metastases in early breast cancer: Based on contrast-enhanced ultrasound characteristics of the primary lesion and sentinel …

W Pang, Y Wang, Y Zhu, Y Jia… - Clinical Hemorheology …, 2023 - content.iospress.com
OBJECTIVE: To evaluate the value of contrast-enhanced ultrasound (CEUS) characteristics
based on primary lesion combined with lymphatic contrast-enhanced ultrasound (LCEUS) …

Value of Contrast-Enhanced Ultrasound Combined with Immune-Inflammatory Markers in Predicting Axillary Lymph Node Metastasis of Breast Cancer

Y Song, J Liu, C Jin, Y Zheng, Y Zhao, K Zhang… - Academic …, 2024 - Elsevier
Rationale and Objectives To evaluate the diagnostic performance of contrast-enhanced
ultrasound (CEUS) combined with immune-inflammatory markers in predicting axillary …

[HTML][HTML] 影像组学在预测乳腺癌分子分型的应用进展

赵学波, 陈鲜霞 - World Journal of Cancer Research, 2024 - hanspub.org
乳腺癌分子亚型的准确诊断对于指导医生制定个体化治疗方案具有重要意义.
目前临床主要通过病理组织进行免疫组化分析获取乳腺癌分子分型, 然而取样和分析可能存在 …