Radiomics in breast cancer: Current advances and future directions

YJ Qi, GH Su, C You, X Zhang, Y Xiao, YZ Jiang… - Cell Reports …, 2024 - cell.com
Breast cancer is a common disease that causes great health concerns to women worldwide.
During the diagnosis and treatment of breast cancer, medical imaging plays an essential …

Mammography-based radiomics in breast cancer: a scoping review of current knowledge and future needs

S Siviengphanom, Z Gandomkar, SJ Lewis… - Academic …, 2022 - Elsevier
Rationale and Objectives Breast cancer is a highly complex heterogeneous disease.
Current validated prognostic factors (eg, histological grade, lymph node involvement …

Development and validation of a clinicoradiomic nomogram to assess the HER2 status of patients with invasive ductal carcinoma

A Xu, X Chu, S Zhang, J Zheng, D Shi, S Lv, F Li… - BMC cancer, 2022 - Springer
Background The determination of HER2 expression status contributes significantly to HER2-
targeted therapy in breast carcinoma. However, an economical, efficient, and non-invasive …

Noninvasive identification of HER2-low-positive status by MRI-based deep learning radiomics predicts the disease-free survival of patients with breast cancer

Y Guo, X Xie, W Tang, S Chen, M Wang, Y Fan… - European …, 2024 - Springer
Objective This study aimed to establish a MRI-based deep learning radiomics (DLR)
signature to predict the human epidermal growth factor receptor 2 (HER2)-low-positive …

[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, 2024 - 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 …

State-of-the-art of breast cancer diagnosis in medical images via convolutional neural networks (cnns)

P Harrison, R Hasan, K Park - Journal of Healthcare Informatics Research, 2023 - Springer
Early detection of breast cancer is crucial for a better prognosis. Various studies have been
conducted where tumor lesions are detected and localized on images. This is a narrative …

A clinical viewpoint on the use of targeted therapy in advanced gastric cancer

M Skórzewska, K Gęca, WP Polkowski - Cancers, 2023 - mdpi.com
Simple Summary Outcomes for patients with advanced gastric cancer continue to be
unsatisfactory despite the inclusion of new targeted therapies in the treatment options. The …

The value of predicting human epidermal growth factor receptor 2 status in adenocarcinoma of the esophagogastric junction on CT-based radiomics nomogram

S Wang, Y Chen, H Zhang, Z Liang, J Bu - Frontiers in Oncology, 2021 - frontiersin.org
Purpose We developed and validated a CT-based radiomics nomogram to predict HER2
status in patients with adenocarcinoma of esophagogastric junction (AEG). Method A total of …

[HTML][HTML] Value of genomics-and radiomics-based machine learning models in the identification of breast cancer molecular subtypes: a systematic review and meta …

Y Zhang, G Li, W Bian, Y Bai, S He, Y Liu… - Annals of Translational …, 2022 - ncbi.nlm.nih.gov
Background In the era of precision therapy, early classification of breast cancer (BRCA)
molecular subtypes has clinical significance for disease management and prognosis. We …

Potential of the non-Contrast-Enhanced chest CT radiomics to distinguish molecular subtypes of breast cancer: A retrospective study

F Wang, D Wang, Y Xu, H Jiang, Y Liu… - Frontiers In …, 2022 - frontiersin.org
Objectives The molecular subtype plays an important role in breast cancer, which is the
main reference to guide treatment and is closely related to prognosis. The objective of this …