Radiomics: Phases of osteoclastic metastasis status in breast cancer identified by morphologic markers

Abstract

In the practical work of radiologists or oncologists, particularly in individualized treatment, a rapid and accurate diagnosis, timely assessments of drug effects, and direction of disease progression are essential. Radiomics and neural networks offer significant help in analyzing data from diagnostic imaging studies. This study examines quantitative biomarkers derived from magnetic resonance imaging, tentatively categorized as mathematical morphological markers, and explores their relationship with osteoclast tumor regression in breast cancer. This study aims to determine the consistency of imaging biomarkers in the stabilization, healing, and progression of breast cancer bone metastases.

Keywords

Radiomics / Neural networks / Osteoclastic metastases / Magnetic resonance imaging / Time sequences of biomarkers / Radial basis function

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