Radiomics, The Future Role of Radiologists?
This idea was explored by Paul LeTour as he described a recent symposium held at the Radiological Society of North America 2014. “Radiomics, From Clinical Images to Omics” was the title of the symposium that explored the concept that in the future, radiologists won’t simply be interpreters of clinical imaging but instead will manage quantitative imaging and descriptive patient data about disease processes that could enable computer-aided decision support to improve diagnosis and prognosis.
Four speakers discussed this concept, and as an introduction likened radiomics to the role of molecular biology through the use of human genome data leading to new targeted therapies in oncology. The corollary of radiomics being that radiological images are not just pictures, but multitudes of discrete data, and that hundreds of quantitative features such as textural (tumor shape) and functional parameters (intensity variation within the tumor) could be extracted from each image. Through combination of these quantitative data with other genomic and patient parameters, increased accuracy and improved prediction might be possible. For example the combined result might predict a low likelihood of metastasis, thus sparing the patient multiple cycles of chemotherapy, or might indicate a high metastatic potential, suggesting more aggressive therapy.
Elucid Bioimaging Inc. is a specialty CRO and leader in quantitative image analysis services to characterize, optimize, and validate imaging biomarkers for drug development to improve the effectiveness and reduce the cost of clinical trials of novel therapies and develop improved tools for medical decisions and patient management.