Wouter van Elmpt

TL;DR: Radiomics, the high-throughput mining of quantitative image features from standard-of-care medical imaging that enables data to be extracted and applied within clinical-decision support systems to improve diagnostic, prognostic, and predictive accuracy, is gaining importance in cancer research as mentioned in this paper.

TL;DR: As strategies evolve and commercial products become available, EPID dosimetry has the potential to become an accurate and efficient means of large-scale patient-specific IMRT dose verification for any radiotherapy department.

TL;DR: An overview of the factors that are correlated with outcome—including survival, recurrence patterns and toxicity—in radiation oncology is provided and the methodology behind the development of prediction models is discussed, which is a multistage process.

TL;DR: Results suggest that further research of quantitative imaging features is warranted with respect to more advanced applications of PET imaging as being used for treatment monitoring, outcome prediction or imaging biomarkers.

TL;DR: This study shows that the manner of SUV discretization has a crucial effect on the resulting textural features and the interpretation thereof, emphasizing the importance of standardized methodology in tumor texture analysis.