MRI-based radiomics methods for predicting Ki-67 expression in breast cancer: A systematic review and meta-analysis

P Tabnak, Z HajiEsmailPoor, B Baradaran… - Academic …, 2023 - Elsevier
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 …

Unsupervised analysis based on DCE-MRI radiomics features revealed three novel breast cancer subtypes with distinct clinical outcomes and biological …

W Ming, F Li, Y Zhu, Y Bai, W Gu, Y Liu, X Liu, X Sun… - Cancers, 2022 - mdpi.com
Simple Summary Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is
an important approach for the diagnosis and evaluation of breast cancer (BC) in clinical …

Multi-view radiomics feature fusion reveals distinct immuno-oncological characteristics and clinical prognoses in hepatocellular Carcinoma

Y Gu, H Huang, Q Tong, M Cao, W Ming, R Zhang… - Cancers, 2023 - mdpi.com
Simple Summary Hepatocellular carcinoma is a widespread cancer with complex molecular
heterogeneity. Compared with invasive tissue sampling, the radiomics framework shows …

CT-based radiogenomics framework for COVID-19 using ACE2 imaging representations

T Xia, X Fu, M Fulham, Y Wang, D Feng, J Kim - Journal of Digital Imaging, 2023 - Springer
Abstract Coronavirus disease 2019 (COVID-19) is caused by Severe Acute Respiratory
Syndrome Coronavirus 2 which enters the body via the angiotensin-converting enzyme 2 …

A radiomics model development via the associations with genomics features in predicting axillary lymph node metastasis of breast cancer: a study based on a public …

H Chen, X Wang, X Lan, T Yu, L Li, S Tang, S Liu… - Clinical Radiology, 2023 - Elsevier
Aim To evaluate the predictive performance of the radiomics model in predicting axillary
lymph node (ALN) metastasis through the associations between radiomics features and …

Identifying associations between DCE-MRI Radiomic features and expression heterogeneity of Hallmark pathways in breast Cancer: a Multi-center Radiogenomic …

W Ming, Y Zhu, F Li, Y Bai, W Gu, Y Liu, X Sun, X Liu… - Genes, 2022 - mdpi.com
Background: To investigate the relationship between dynamic contrast-enhanced magnetic
resonance imaging (DCE-MRI) radiomic features and the expression activity of hallmark …

[HTML][HTML] Advancing breast cancer subtyping: optimizing immunohistochemical staining classification with insights from real-world Taiwanese data

YT Chang, ZJ Hong, JC Yu, WZ Lin… - American Journal of …, 2023 - ncbi.nlm.nih.gov
Gene expression signatures provide valuable information to guide postoperative treatment
in breast cancer (BC) patients. However, genetic tests are prohibitively expensive for the …

Lymph node metastasis prediction and biological pathway associations underlying DCE-MRI deep learning radiomics in invasive breast cancer

W Liu, W Chen, J Xia, Z Lu, Y Fu, Y Li, Z Tan - BMC Medical Imaging, 2024 - Springer
Background The relationship between the biological pathways related to deep learning
radiomics (DLR) and lymph node metastasis (LNM) of breast cancer is still poorly …

Freehand 1.5 T MR-Guided Vacuum-Assisted Breast Biopsy (MR-VABB): Contribution of Radiomics to the Differentiation of Benign and Malignant Lesions

AS Tagliafico, M Calabrese, N Brunetti, A Garlaschi… - Diagnostics, 2023 - mdpi.com
Radiomics and artificial intelligence have been increasingly applied in breast MRI. However,
the advantages of using radiomics to evaluate lesions amenable to MR-guided vacuum …

Construction of a radiogenomic signature based on endoplasmic reticulum stress for predicting prognosis and systemic combination therapy response in …

HY Wu, SY Cao, ZG Xu, T Wang, GW Ji, K Wang - 2024 - researchsquare.com
Background: Hepatocellular carcinomais one of the most common tumors worldwide.
Various factors in the tumor microenvironment can lead to the activation of endoplasmic …