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Rakan Gzian Alotaibi,⁠Turky Nasser A Bin Ateeq,⁠Dowahim Abdullah Aldosrai,⁠Maged Hamad Ali Hakami,⁠Sami Ayesh Alenazi,⁠Hassan Ali Alwan,⁠Mohammad Hoaded Al Otabei Abdullah Ayidh Alotaibi,⁠Alreem Hussain Alanazi,⁠Majid Khalaf Alenazi,⁠Zaid Adeeb Alenazi,⁠Faisal Thari Alshammari,⁠Sultan Faleh Alshammari,⁠Naif Hamoud Aldhubayti,⁠Mohammed Hassan Tawhari

Abstract

Tumour features obtained from computer analysis have been included into computer-aided diagnosis (CAD) methods used in medical imaging for many years. The emergence of radiomics, which is an expansion of computer-aided diagnosis (CAD) that involves the use of high-throughput capabilities computer algorithms for obtaining quantitative information from medical images, has generated significant interest in computer-based assessments of healthy or diseased components and activities. Nevertheless, despite the extensive body of radiomic research, the use of radiomics as a therapeutically valuable tool or its approval by the FDA is limited to a very small number of cases. The limited availability of studies in this area can be attributed to several factors, including the use of different imaging as well as radiomic feature identification procedures in each study, the potential challenges in analyzing radiomic information, and the absence of studies demonstrating the positive impact of using radiomic-based tools on the benefit-risk equilibrium for patients. While there are currently several standards on particular areas of acquiring and analyzing radiomic data, there is a lack of a comprehensive roadmap for the whole process of transforming radiomics into practical instruments for clinical treatment.                                                                          

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How to Cite

The Diagnostic Accuracy And Clinical Utility Of Radiomics In Oncology Imaging. (2022). Journal of Namibian Studies : History Politics Culture, 31(Special Issue 3), 756-766. https://doi.org/10.59670/0bmc1492