title: Stochastic Predictions of Cell Kill During Stereotactic Ablative Radiation Therapy: Do Hypoxia and Reoxygenation Really Matter?
abstract: To simulate stereotactic ablative radiation therapy on hypoxic and well-oxygenated in silico tumors, incorporating probabilistic parameter distributions and linear-quadratic versus linear-quadratic-cubic methodology and the evaluation of optimal fractionation schemes using biological effective dose (BEDα/β=10 or 3) comparisons.
  
  
  
  A temporal tumor growth and radiation therapy algorithm simulated high-dose external beam radiation therapy using stochastic methods. Realistic biological proliferative cellular hierarchy and pO2 histograms were incorporated into the 10(8)-cell tumor model, with randomized radiation therapy applied during continual cell proliferation and volume-based gradual tumor reoxygenation. Dose fractions ranged from 6-35 Gy, with predictive outcomes presented in terms of the total doses (converted to BED) required to eliminate all cells that could potentially regenerate the tumor.
  
  
  
  Well-oxygenated tumor control BED10 outcomes were not significantly different for high-dose versus conventional radiation therapy (BED10: 79-84 Gy; Equivalent Dose in 2 Gy fractions with α/β of 10: 66-70 Gy); however, total treatment times decreased from 7 down to 1-3 weeks. For hypoxic tumors, an additional 28 Gy (51 Gy BED10) was required, with BED10 increasing with dose per fraction due to wasted dose in the final fraction. Fractions of 9 Gy compromised well for total treatment time and BED, with BED10:BED3 of 84:176 Gy for oxic and 132:278 Gy for non-reoxygenating hypoxic tumors. Initial doses of 12 Gy followed by 6 Gy further increased the therapeutic ratio. When delivering ≥9 Gy per fraction, applying reoxygenation and/or linear-quadratic-cubic cell survival both affected tumor control doses by a significant 1-2 fractions.
  
  
  
  The complex temporal dynamics of tumor oxygenation combined with probabilistic cell kinetics in the modeling of radiation therapy requires sophisticated stochastic modeling to predict tumor cell kill. For stereotactic ablative radiation therapy, high doses in the first week followed by doses that are more moderate may be beneficial because a high percentage of hypoxic cells could be eradicated early while keeping the required BED10 relatively low and BED3 toxicity to tolerable levels.
authors.affiliation: Department of Medical Physics, Royal Adelaide Hospital, Adelaide, South Australia, Australia; School of Chemistry and Physics, University of Adelaide, Adelaide, South Australia, Australia. Electronic address: wharrphil@gmail.com.
authors.forename: Wendy M
authors.initials: WM
authors.lastname: Harriss-Phillips
authors.affiliation: School of Chemistry and Physics, University of Adelaide, Adelaide, South Australia, Australia; International Centre for Allied Health Evidence, University of South Australia, Adelaide, South Australia, Australia; Sansom Institute for Health Research, University of South Australia, Adelaide, South Australia, Australia.
authors.forename: Eva
authors.initials: E
authors.lastname: Bezak
authors.affiliation: Department of Radiation Oncology, Royal Adelaide Hospital, Adelaide, South Australia, Australia; Adelaide Radiotherapy Centre, Genesis CancerCare, Adelaide, South Australia, Australia.
authors.forename: Andrew
authors.initials: A
authors.lastname: Potter
mesh_terms: D002294:Carcinoma, Squamous Cell / Q000378:metabolism / Q000473:pathology / Q000532:radiotherapy*; D015687:Cell Hypoxia; D002470:Cell Survival / Q000528:radiation effects; D006258:Head and Neck Neoplasms / Q000378:metabolism / Q000473:pathology / Q000532:radiotherapy*; D006801:Humans; D010100:Oxygen / Q000494:pharmacology; D016634:Radiosurgery / Q000379:methods*; D000077195:Squamous Cell Carcinoma of Head and Neck; D013269:Stochastic Processes
chemical_list: D010100:Oxygen