Applications and limitations of radiomics
By S. Yip, Hugo J. W. L. Aerts. Physics in Medicine and Biology, 2016
1,003 citations recorded by the source corpus.
Radiomics is an emerging field in quantitative imaging that uses advanced imaging features to objectively and quantitatively describe tumour phenotypes. Radiomic features have recently drawn considerable interest due to its potential predictive power for treatment outcomes and cancer genetics, which may have important applications in personalized medicine. In this technical review, we describe applications and challenges of the radiomic field. We will review radiomic application areas and technical issues, as well as proper practices for the designs of radiomic studies.
Subfields: Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/d58204df65468094422a4fb7ce29e9789e7f2bd0
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In Oncology
In Pulmonary and Respiratory Medicine
In Radiology, Nuclear Medicine and Imaging
Citations in the corpus
- A Deep Look Into the Future of Quantitative Imaging in Oncology: A Statement of Working Principles and Proposal for Change. (2018, background): “In the last 5 years, an exponential increase in the number of radiomics publications has occurred, with a widening number of applications in many subdisciplines of radiology and radiation oncology (55, 56).”
- Radiomics: the bridge between medical imaging and personalized medicine (2017, positive): “The importance of using standardized imaging protocols to eliminate unnecessary confounding variability is recognized 9,18 ; however, nonstandardized imaging protocols are commonplace.”
- Introduction to Radiomics (2020, background): “Learning Objectives: On successful completion of this activity, participants should be able to (1) describe the standard radiomics workflow; (2) know the basic concepts of radiomic feature classes; and (3) recognize common limitations and pitfalls in radiomics studies.”