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Radiomics-guided radiation therapy: opportunities and challenges
Hamid Abdollahi1,2, Erika Chin3, Haley Clark4,5
1Department of Radiologic Technology, Faculty of Allied Medicine, Kerman University of Medical Sciences, Kerman, Iran.
Radiomics, extracting quantitative imaging features, can personalize radiation therapy. This review explores radiomics-guided radiation therapy (RGRT) opportunities and challenges for improved patient outcomes.
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.
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