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Radiomics in preclinical imaging research: methods, challenges and opportunities.

Vlora Riberdy1,2, Alessandro Guida3,4, James Rioux5,3,4

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Radiomics analysis in preclinical research offers potential for disease detection and treatment prediction. However, its application faces unique challenges that require further investigation and development.

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Area of Science:

  • Medical Imaging
  • Quantitative Imaging
  • Biomedical Research

Background:

  • Radiomics analysis is gaining traction in clinical studies.
  • Radiomic features correlate with disease severity and treatment outcomes.
  • Radiomics aids in early disease detection and predictive modeling.

Purpose of the Study:

  • To provide an overview of radiomics in preclinical imaging.
  • To discuss current methodologies and challenges.
  • To explore future prospects of radiomics in preclinical research.

Main Methods:

  • Review of current radiomics applications in preclinical imaging.
  • Analysis of methodologies used in preclinical radiomics.
  • Identification of challenges specific to preclinical radiomics.

Main Results:

  • Radiomics shows promise in preclinical research.
  • Unique challenges exist in applying radiomics to preclinical studies.
  • Methodologies and future directions are outlined.

Conclusions:

  • Radiomics has significant potential in preclinical imaging.
  • Addressing specific challenges is crucial for advancing preclinical radiomics.
  • Further research is needed to fully realize its prospects.