Oncology ImagingArchives
Multi-regional feature integration on enhanced CT for lymph node metastasis prediction in gastric cancer: a novel radiomics approach
Oncology Imaging 5 min.
Gastric cancer (GC) constitutes a major global health burden, ranking among the leading causes of cancer-related mortality. Recent epidemiological data reveal staggering annual estimates of 1.23 million new diagnoses and 954,000 deaths worldwide [1, 2], underscoring the urgent need for precision management...
AI-driven MRI biomarker for triple-class HER2 expression classification in breast cancer: a large-scale multicenter study
Oncology Imaging 5 min.
Breast cancer is the most prevalent malignancy and a leading cause of cancer-related mortality among women worldwide [1]. The human epidermal growth factor receptor 2 (HER2) is a critical biomarker and therapeutic target in breast cancer, influencing both treatment response and disease progression [2,...
The feasibility of the radiomics models for tumor-infiltrating lymphocytes level prediction in breast cancer based on dynamic contrast-enhanced MRI
Oncology Imaging 5 min.
Breast cancer has emerged as the most prevalent malignant neoplasm globally and represents the second leading cause of cancer-related mortality among women worldwide [1]. Given the pronounced heterogeneity characteristic of breast cancer, the identification of optimal therapeutic strategies tailored...
Correlation of immunohistochemistry markers with textural characteristics derived from dual point F-18 fluorodeoxyglucose PET-CT in treatment naive locally advanced breast cancer patients.
Oncology Imaging 1 min.
Radiomics is an emerging field in medical imaging that leverages advanced computational algorithms to extract textural characteristics from medical images. It promises to transform breast cancer management by providing more accurate, reproducible, and noninvasive tools for clinicians, ultimately improving...
