review Open AccessTop 1% cited
Applications and limitations of radiomics
Physics in Medicine and Biology · 2016 · Vol. 61(13) · pp. R150–R166
Stephen Yip✉(Harvard University)Hugo J.W.L. Aerts(Dana-Farber Cancer Institute)
Abstract
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.
Radiomics and Machine Learning in Medical ImagingSarcoma Diagnosis and TreatmentPancreatic and Hepatic Oncology ResearchRadiomicsComputer scienceMedical physicsField (mathematics)RadiogenomicsPersonalized medicinePrecision medicineMedical imagingCancer imagingData science
MeSH terms
HumansImage Processing, Computer-AssistedNeoplasmsPhenotype
Funding
- American Association of Physicists in Medicine
- National Institutes of Health
- National Cancer Institute
Citations
1,204
FWCI
66.91
field-weighted impact
References
120
Percentile
100%
vs. same field & year
Citations per year
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