Nitric oxide nano-reactor DNMF/PLGA enables tumor vascular microenvironment and chemo-hyperthermia synergetic therapy

R Wang, L Cheng, L He, C Du, H Wang, B Peng… - Journal of …, 2024 - Springer
Background Breast cancer ranks first among malignant tumors, of which triple-negative
breast cancer (TNBC) is characterized by its highly invasive behavior and the worst …

Advances in nanocomposites-based electrochemical biosensors for the early diagnosis of breast cancer

O Gamal, MH Eldin, AA Refaat, RYA Hassan - Frontiers in Sensors, 2024 - frontiersin.org
Regardless of many years of research work and conducting numerous clinical studies,
breast cancer (BC) continues to grow among women, threatening their lives and future …

Integrating intratumoral and peritumoral radiomics with deep transfer learning for DCE-MRI breast lesion differentiation: A multicenter study comparing performance …

T Yu, R Yu, M Liu, XY Wang, J Zhang, Y Zheng… - European Journal of …, 2024 - Elsevier
Purpose To conduct the fusion of radiomics and deep learning features from the intratumoral
and peritumoral areas in breast DCE-MRI images to differentiate between benign and …

Automated 3D Tumor Segmentation from Breast DCE-MRI using Energy-Tuned Minimax Optimization

P Babu, M Asaithambi, SM Suriyakumar - IEEE Access, 2024 - ieeexplore.ieee.org
Breast cancer (BC) is a multifaceted genetic malignancy that accounts for the majority of
cancer fatalities in women. Dynamic Contrast-Enhanced Magnetic Resonance Imaging …

Explainable Precision Medicine in Breast MRI: A Combined Radiomics and Deep Learning Approach for the Classification of Contrast Agent Uptake

S Nowakowska, K Borkowski, C Ruppert, P Hejduk… - Bioengineering, 2024 - mdpi.com
In DCE-MRI, the degree of contrast uptake in normal fibroglandular tissue, ie, background
parenchymal enhancement (BPE), is a crucial biomarker linked to breast cancer risk and …

A radiogenomic multimodal and whole-transcriptome sequencing for preoperative prediction of axillary lymph node metastasis and drug therapeutic response in …

J Lai, Z Chen, J Liu, C Zhu, H Huang, Y Yi… - … Journal of Surgery, 2024 - journals.lww.com
Background: Axillary lymph nodes (ALN) status serves as a crucial prognostic indicator in
breast cancer (BC). The aim of this study was to construct a radiogenomic multimodal model …

Relation between morphological features of initial breast MRI and breast cancer molecular subtypes

SM Temerik, SMA Elwahab, MM Wahman… - Egyptian Journal of …, 2023 - Springer
Background Because different gene receptors might cause each case of breast cancer, the
disease is classified as a heterogeneous form because it can be subdivided into molecular …

Simvastatin Induces Autophaghy-Mediated Cell Death In Metastatic Breast Cancer Cells

J Allagoa - 2024 - digitalscholarship.tsu.edu
Breast cancer remains one of the leading causes of cancer deaths among women. Due to
the limited effectiveness of current anticancer drugs, ongoing research has extended …

Digital Breast Tomosynthesis and Advanced Radiology Techniques: A Review of Their Role in Elderly Females with Breast Cancer

GAAAAA Ramadan - Asian Journal of Medical …, 2024 - research.send4journal.com
Breast cancer is considered one of the leading causes of women's mortality and morbidity
worldwide. Despite several treatment and therapeutic procedures available, this sector still …

Classification of MRI-only suspicious breast lesions: Development and validation of a nomogram combining MRI features and apparent diffusion coefficient histogram

X Li, L Jiang, J Gao, D Zheng, H Wang, M Chen - 2024 - researchsquare.com
Purpose We aimed to develop and validate a nomogram combining clinicoradiologic
features and apparent diffusion coefficient (ADC)-based histogram parameters for MRI-only …