The Journal of Dental Panacea 2023;5(2):54–58 Content available at: https://www.ipinnovative.com/open-access-journals The Journal of Dental Panacea Journal homepage: https://www.jdentalpanacea.org/ Review Article Delineating the grey areas in radiodiagnosis-Radiomics a new way forward Radiomics- A virtual biopsy Gayathri Sanjay 1, *, Lekha Shreedhara 1 , Kruthika S Guttal 1 , Kirty Nandimath 1 , Krishna Burde 1 1 Dept. of Oral Medicine and Radiology, SDM College of Dental Sciences and Hospital, Shri Dharmasthala Manjunatheshwara University, Dharwad, Karnataka, India ARTICLE INFO Article history: Received 07-04-2023 Accepted 26-05-2023 Available online 04-07-2023 Keywords: Omics Diagnostic imaging Radiomics Tumour Segmentation Image preprocessing Feature extraction ABSTRACT 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. This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. For reprints contact: reprint@ipinnovative.com 1. Introduction Radiomic analysis can be construed as the extraction of quantifiable, measurably based traits or parameters from radiological images. As a consequence, the software can define or characterize numerous abstract mathematical properties on imaging modalities that are typically not discernible to the human sight. 1 The sophistication and volume of created digital data have expanded their horizon due to the breakthrough in diagnostic imaging techniques. These elements stimulated * Corresponding author. E-mail address: gayathrisanjay3@gmail.com (G. Sanjay). the development of radiomics, a novel technique for imaging diagnosis. 2 It contains algorithms that fractionate incoming images based on elementary features like edges, gradients, form, signal intensity, wavelength, and textures that can be deployed to interpret the image. In a nutshell, thousands of abstract mathematical traits that are typically improbable for the naked eye to distinguish can be specified and delineated utilizing imaging modalities and software. 3 The enhancement of diagnostic, prognostic, and predictive accuracy may derive from the association of radiomics-based data with clinical and biological end results. Intensity, shape, and texture are examples https://doi.org/10.18231/j.jdp.2023.012 2348-8727/© 2023 Innovative Publication, All rights reserved. 54