Radiomics in neuro-oncological clinical trials. Issue 11 (November 2022)

• Record Type: Journal Article
• Authors: Lohmann, Philipp; Franceschi, Enrico; Vollmuth, Philipp; Dhermain, Frédéric; Weller, Michael; Preusser, Matthias; Smits, Marion; Galldiks, Norbert
• Is Part Of: Lancet. Volume 4:Issue 11(2022)
• Page Start: e841
• Page End: e849
• Publication Date: 2022-11
• Subjects: Medical care -- Data processing -- Periodicals; Medical care -- Information technology -- Periodicals; Medical informatics -- Periodicals; 610.285
• DOI: 10.1016/S2589-7500(22)00144-3
• Languages: English
• ISSNs: 2589-7500

Abstract

Summary: The development of clinical trials has led to substantial improvements in the prevention and treatment of many diseases, including brain cancer. Advances in medicine, such as improved surgical techniques, the development of new drugs and devices, the use of statistical methods in research, and the development of codes of ethics, have considerably influenced the way clinical trials are conducted today. In addition, methods from the broad field of artificial intelligence, such as radiomics, have the potential to considerably affect clinical trials and clinical practice in the future. Radiomics is a method to extract undiscovered features from routinely acquired imaging data that can neither be captured by means of human perception nor conventional image analysis. In patients with brain cancer, radiomics has shown its potential for the non-invasive identification of prognostic biomarkers, automated response assessment, and differentiation between treatment-related changes from tumour progression. Despite promising results, radiomics is not yet established in routine clinical practice nor in clinical trials. In this Viewpoint, the European Organization for Research and Treatment of Cancer Brain Tumour Group summarises the current status of radiomics, discusses its potential and limitations, envisions its future role in clinical trials in neuro-oncology, and provides guidance on how to address the challenges in radiomics.