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Integrating Mathematical Modeling into the Roadmap for Personalized Adaptive Radiation Therapy
- Source :
- Trends in Cancer. 5:467-474
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- In current radiation oncology practice, treatment protocols are prescribed based on the average outcomes of large clinical trials, with limited personalization and without adaptations of dose or dose fractionation to individual patients based on their individual clinical responses. Predicting tumor responses to radiation and comparing predictions against observed responses offers an opportunity for novel treatment evaluation. These analyses can lead to protocol adaptation aimed at the improvement of patient outcomes with better therapeutic ratios. We foresee the integration of mathematical models into radiation oncology to simulate individual patient tumor growth and predict treatment response as dynamic biomarkers for personalized adaptive radiation therapy (RT).
- Subjects :
- adaptive therapy
0301 basic medicine
Cancer Research
medicine.medical_specialty
medicine.medical_treatment
mathematical oncology
Radiation Tolerance
Personalization
03 medical and health sciences
0302 clinical medicine
Neoplasms
Biomarkers, Tumor
Tumor Microenvironment
medicine
Humans
Medical physics
Precision Medicine
systems medicine
Adaptation (computer science)
radiotherapy
Protocol (science)
business.industry
Radiotherapy Planning, Computer-Assisted
Dose fractionation
Dose-Response Relationship, Radiation
Models, Theoretical
Magnetic Resonance Imaging
radiation
Radiation therapy
Systems medicine
Clinical trial
Treatment Outcome
030104 developmental biology
Oncology
030220 oncology & carcinogenesis
Radiation Oncology
Dose Fractionation, Radiation
Tomography, X-Ray Computed
business
Adaptive radiation therapy
Subjects
Details
- ISSN :
- 24058033
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Trends in Cancer
- Accession number :
- edsair.doi.dedup.....71d0ac99463ee5453b71e4f03e8d92ca