Biological Optimisation Flashcards
5Rs
Radiosensitivity
* Cells have different radiosensitivities
Repair
* Cells can repair sub-lethal radiation damage
Repopulation
* Cells repopulate during fractionated radiotherapy
Redistribution
* In proliferating cell population through the cell cycle increases the cell kill in fractionated therapy relative to a single session
Reoxygenation
* of hypoxic cells during fractionated treatment makes them more sensitive to subsequent doses of radiation
A/b ratio of some late reacting tumours
Kidney - 2-2.4gy
Rectum - 2.5-5Gy
Lung - 2.7-4Gy
Bladder: 3-7Gy
CNS: 1.8-2.2Gy
Prostate: 1-3gy
Melanoma: 0.6Gy
Fractionation - rationale
Dividing of dose into multiple fractions spares normal tissues through a repair of sub-lethal damage between dose fractions and repopulation of cells
• The former is greater for late-reacting tissues, and the latter for early-reacting tissues
• Concurrently, fractionation increases tumour damage through • Reoxygenation and redistribution of tumour cells
High a/b cells - not sensitive to change in fraction size
Low a/b cells - sensitive to dose/fraction
Indirect action of cell damage by irradiation
- Primary photon interaction producing high energy electrons
- High energy electrons in moving through the tissue produce free radicals in water [H+ and OH-]
- Free radicals may produce changes in DNA from breakage of chemical bonds
- Changes in chemical bonds result in biological effects
Steps 3 and 4 are biological
What factors make cells less radiosensitive
Low oxygen or hypoxic state
– Low dose rates
– Fractionation
– Cells synchronised in the late S phase of the cell cycle
Biological planning
Use biological metrics to more directly reflect the clinical goals of radiotherapy
Biologically guided RT
Use of relevant information of individual patient biological response of the tumour and normal tissues to design dose distributions
– Tumour and normal tissue radio-sensitivity, oxygenation status, proliferation rate
Biologically based treatment planning
Use of feedback from biological response models in the treatment planning process
– Feedback could be automated (inverse planning) or manual (forward planning)
Biological models
Variety of dose response models for the tumour and normal tissue are available
– Mechanistic (Model from first principles) • Preferable but more complex and difficult
– Phenomenonological (Models that fit the available empirical data)
• Simpler but may only be relevant in the data space in which they were validated. Extrapolation may be dangerous
Dose response models
• Biological cell survival models are required for tumours and normal tissues
• The models should predict observations seen in clinical dose response data
• There is an increasing amount of clinical dose response data that is being accumulated
• A number of models of tumour and normal tissue response have been developed
Generalised EUD
Uniform dose that would yield the same radiobiological effect as non uniform dose
Linear quadratic model
most often used to describe the cell survival curve assuming there are two components to cell kill
The ratio α/β gives the dose at which the linear and quadratic components of cell kill are equal
• SF(D) is the clonogenic cell survival fraction as a function of dose D
What does the value of a represent
Represents the intrinsic radiosensitivity of the cell
– Non-repairable type of cell damage
– Linearly dependent on dose
What does the value of B represent
Repairable type of cell damage with time
– Responsible for the dose/fraction variations
– Proportional to the square of the dose
What is BED
Biologically effective dose