Predicting lung cancer's metastats' locations using bioclinical model
Teddy Lazebnik,
Svetlana Bunimovich-Mendrazitsky
Abstract:BackgroundLung cancer is a global leading cause of cancer-related deaths, and metastasis profoundly influences treatment outcomes. The limitations of conventional imaging in detecting small metastases highlight the crucial need for advanced diagnostic approaches.MethodsThis study developed a bioclinical model using three-dimensional CT scans to predict the spatial spread of lung cancer metastasis. Utilizing a three-layer biological model, we identified regions with a high probability of metastasis colonization… Show more
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