---

Delineating the grey areas in radiodiagnosis-Radiomics a new way forward Radiomics- A virtual biopsy

---

Review Article

Author Details : Gayathri Sanjay*, Lekha Shreedhara, Kruthika S Guttal, Kirty Nandimath, Krishna Burde

Volume : 5, Issue : 2, Year : 2023

Article Page : 54-58

https://doi.org/10.18231/j.jdp.2023.012

Suggest article by email

Get Permission

---

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.
 

Keywords: Omics, Diagnostic imaging, Radiomics, Tumour Segmentation, Image pre­processing, Feature extraction

How to cite : Sanjay G, Shreedhara L, Guttal K S, Nandimath K, Burde K, Delineating the grey areas in radiodiagnosis-Radiomics a new way forward Radiomics- A virtual biopsy. J Dent Panacea 2023;5(2):54-58

This is an Open Access (OA) journal, and articles are distributed under the terms of the Creative Commons Attribution 4.0 International License, which allows others to remix, and build upon the work, the licensor cannot revoke these freedoms as long as you follow the license terms.