Radiomics is a new emerging field in which medical images are converted into multidimensional data by data-characterisation algorithms. The data is assessed for improved decision support. Radiomics has the potential to uncover disease characteristics that fail to be recognised by the naked human eye.
Radiomics can be applied to CT, MRI and PET studies. It can be used to increase the precision in the diagnosis, assessment of prognosis, and prediction of therapy response. The technique has been used in oncological studies, but potentially can be applied to any disease.
A typical example of radiomics is using texture analysis to correlating molecular and histological features of diffuse high grade gliomas 2.
- 1. Gillies RJ, Kinahan PE, Hricak H. Radiomics: Images Are More than Pictures, They Are Data. Radiology. 278 (2): 563-77. doi:10.1148/radiol.2015151169 - Pubmed
- 2. AlRayahi J, Zapotocky M, Ramaswamy V, Hanagandi P, Branson H, Mubarak W, Raybaud C, Laughlin S. Pediatric Brain Tumor Genetics: What Radiologists Need to Know. (2018) Radiographics : a review publication of the Radiological Society of North America, Inc. 38 (7): 2102-2122. doi:10.1148/rg.2018180109 - Pubmed