Authors:

Melvin L. K. Chua

Department of Head and Neck and Thoracic Radiation Oncology, National Cancer Centre Singapore, 30 Hospital Boulevard, Singapore

Introduction:

The use of precision oncology in the treatment of human tumors has become the next big thing in therapeutic approaches. The concept is straightforward yet compelling: to identify the genotypes and phenotypes of cancer in order to personalize treatment and risk assessment for each patient. In order to do this, techniques for next-generation sequencing (NGS) have been created to describe the genomes of tumors. Although this method has been successful in linking genotypes to appropriate medicines, testing is limited by the availability of tumor tissue. Therefore, considering that radiological scans, such as computed tomography and magnetic resonance imaging (MRI), are frequently conducted for cancer diagnosis, assessment of treatment response, and other purposes, research has looked into employing imaging as a data source for deeper phenotyping.surveillance for diseases. Thus, the field of study known as "radiomics" deals with the quantitative properties of pictures—such as forms, grayscale textures, and intensities—that are not visible to the human eye when extracted from designated regions of interest (ROI) on radiological images.

Keywords:

Radiomics, Imaging, Precision oncology, Explainable AI, Nasopharyngeal cancer

Citation:

Melvin L. K. Chua. Hedgehog or ludum mutante in radiomics for precision oncology. World Journal of Medical Oncology 2023