Consolidating duodenal and small bowel toxicity data via isoeffective dose calculations based on compiled clinical data

Pract Radiat Oncol. 2014 Mar-Apr;4(2):e125-e131. doi: 10.1016/j.prro.2013.05.003. Epub 2013 Jun 25.

Abstract

Purpose: To consolidate duodenum and small bowel toxicity data from clinical studies with different dose fractionation schedules using the modified linear quadratic (MLQ) model. A methodology of adjusting the dose-volume (D,v) parameters to different levels of normal tissue complication probability (NTCP) was presented.

Methods and materials: A set of NTCP model parameters for duodenum toxicity were estimated by the χ(2) fitting method using literature-based tolerance dose and generalized equivalent uniform dose (gEUD) data. These model parameters were then used to convert (D,v) data into the isoeffective dose in 2 Gy per fraction, (D(MLQED2),v) and convert these parameters to an isoeffective dose at another NTCP (D(MLQED2'),v).

Results: The literature search yielded 5 reports useful in making estimates of duodenum and small bowel toxicity. The NTCP model parameters were found to be TD50(1)(model) = 60.9 ± 7.9 Gy, m = 0.21 ± 0.05, and δ = 0.09 ± 0.03 Gy(-1). Isoeffective dose calculations and toxicity rates associated with hypofractionated radiation therapy reports were found to be consistent with clinical data having different fractionation schedules. Values of (D(MLQED2'),v) between different NTCP levels remain consistent over a range of 5%-20%.

Conclusions: MLQ-based isoeffective calculations of dose-response data corresponding to grade ≥2 duodenum toxicity were found to be consistent with one another within the calculation uncertainty. The (D(MLQED2),v) data could be used to determine duodenum and small bowel dose-volume constraints for new dose escalation strategies.

MeSH terms

  • Dose Fractionation, Radiation
  • Dose-Response Relationship, Radiation
  • Duodenum / radiation effects
  • Humans
  • Intestine, Small / radiation effects*
  • Linear Models
  • Radiation Injuries / prevention & control
  • Radiotherapy Planning, Computer-Assisted / methods*