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Radiomics-guided radiation therapy: opportunities and challenges.

Hamid Abdollahi^1,2, Erika Chin³, Haley Clark^4,5

¹Department of Radiologic Technology, Faculty of Allied Medicine, Kerman University of Medical Sciences, Kerman, Iran.

Physics in Medicine and Biology

|May 13, 2022

Summary

This summary is machine-generated.

Radiomics, extracting quantitative imaging features, can personalize radiation therapy. This review explores radiomics-guided radiation therapy (RGRT) opportunities and challenges for improved patient outcomes.

Keywords:

imaging features individualized radiotherapy personalized medicine radiation therapy radiomics

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Area of Science:

Medical Imaging
Radiotherapy
Biomarkers

Background:

Radiomics extracts quantitative imaging features for personalized medicine.
Applications span disease detection, diagnosis, prognosis, and therapy response assessment.
Radiation therapy seeks individualized treatments.

Purpose of the Study:

To elucidate the concept of radiomics-guided radiation therapy (RGRT).
To highlight opportunities and challenges of using radiomics in radiation therapy.
To provide recommendations for improving future radiotherapy.

Main Methods:

Review of radiomics applications in radiation therapy.
Identification of RGRT's value across radiotherapy stages.
Analysis of opportunities and challenges.

Main Results:

Radiomics offers significant value in patient selection, treatment planning, and follow-up.
RGRT can enhance the effectiveness of radiation treatments.
Key opportunities and challenges for RGRT implementation were identified.

Conclusions:

Radiomics-guided radiation therapy (RGRT) holds promise for personalized cancer care.
Further research and development are needed to overcome challenges.
Quantitative imaging features can optimize radiotherapy delivery and outcomes.