Authors : Gayathri Sanjay, Lekha Shreedhara, Kruthika S Guttal, Kirty Nandimath, Krishna Burde
DOI : 10.18231/j.jdp.2023.012
Volume : 5
Issue : 2
Year : 2023
Page No : 54-58
Omics are the branches of science which constitute the various affiliates of biology. It determines the structure, function and dynamics of organisms through collective characterization and quantification of biological molecules. The diagnostic imaging modalities have peaked in their advancements, leading to escalated complexity and volume of database. This has ushered the foundation of a novel approach to imaging diagnosis called radiomics. Radiomics refers to the accentuation and procurement of ambiguous data from medical imaging and has been applied within oncology to enhance diagnosis and prognostication, aiding in clinical decision, with the aim of delivering precision medicine. The chief application of radiomics is in oncology to augment diagnosis and prognosis, thereby improving clinical decision. Consequently, the success rates for delivering precision medicine is higher as it facilitates the procurement and accentuation of ambiguous data from rradiographs. Radiologists as well as data and imaging scientists represent an integral part of the interdisciplinary workflow of radiomics. It involves a comprehensive process of step by step tumour segmentation, image pre-processing, feature extraction, analysis, model development, and validation. By this paramount potentiality, it serves as a definitive solution for both clinical and research purposes. This paper highlights the role of radiomics in defining, standardization, and cultivating vast databases accessible to clinicians. This will empower them to tap into every particular case, eventually creating a link among patients having comparable profiles for treatments or clinical trials all over the world.
Keywords: Omics, Diagnostic imaging, Radiomics, Tumour Segmentation, Image preprocessing, Feature extraction