Linear Quadratic Model (Revision Notes)

LQ Model:

  • Reasonably well validated experimentally and theoretically
  • LQ Model works well if:
    • Cell killing is result of DNA damage (DSBs)
    • RT is multifractionated and fractions are well-separated
    • Irradiation time short and dose rate is constant
  • 2 components: α and β:
    • α component:
      • In low dose region
      • Because of lethal damage
      • Resulting from single event/hit
      • Probability proportional to dose
      • Effect ∝ D
      • Effect = αD
      • Responsible for linear component of cell survival curve
    • β component:
      • In high dose region
      • Because of sublethal damage
      • Lethal damage will be a result from 2 events/double hit kill
      • Probability to produce 1 SLD is proportional to dose
      • Probability to produce 2 SLDs is proportional to square of dose
      • Effect ∝ D²
      • Effect = βD²
      • Responsible for quadratic component of cell survival curve

Alpha Beta Ratio:

  • Dose at which
    • Linear=Quadratic
    • α killing = β killing
    • αD=βD²
  • α/β=D²/D
  • α/β=D
  • α/β Definition: Dose at which contribution by single hit (Linear) kill becomes equal to double hit (Quadratic) kill
  • Unit: Gray
  • Application:
    • α/β defines curviness of survival curve, it is the dose at which survival curve starts bending

      • Tumours have poor repair capabilities: more lethal damage → high α/β ratio → straighter cell survival curve
      • Tissues having good repair cabiliities (e.g. late responding normal tissues) → low α/β ratio → curved cell survival curve
    • Based on α/β ratio, the body tissues have been divided into two category:

      • Late Reacting Tissue (e.g. breast and prostate)
        • α/β = 1Gy to 7Gy (3Gy)
        • Shoulder is more curvy
      • Early Reacting Tissue (most tumours)
        • α/β = 6Gy to 15Gy (10Gy)
        • Shoulder is less curvy
    • Adapting a dose per fraction more than α/β will kill more cells as compared to lesser dose for the same total dose → practically possible only for tumours having low α/β ratio because as normal tissues with a lower α/β will be damaged more if we employ this technique for higher α/β tumours

    • Effect at a given dose

      • E = αD+βD²
    • Survival at a given dose

      • S = E-αD-βD²
    • BED (Biological Effective Dose)


      • n=number of fractions
      • d=dose per fraction
      • nd=total dose
  • Limitations of LQ Model
    • Does not include effect of redistribution
    • Does not include effect of reoxygenation
    • Cell survival curve becomes linear at higher doses unlike the bend curve predicted by LQ model
    • Data validating LQ model for higher dose per fraction → Missing