9
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Monte Carlo-based dosimetry of head-and-neck patients treated with SIB-IMRT.

      International Journal of Radiation Oncology, Biology, Physics
      Algorithms, Carcinoma, Squamous Cell, radiotherapy, Head and Neck Neoplasms, Humans, Monte Carlo Method, Radiotherapy Dosage, Radiotherapy, Intensity-Modulated

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          To evaluate the accuracy of previously reported superposition/convolution (SC) dosimetric results by comparing with Monte Carlo (MC) dose calculations for head-and-neck intensity-modulated radiation therapy (IMRT) patients treated with the simultaneous integrated boost technique. Thirty-one plans from 24 patients previously treated on a phase I/II head-and-neck squamous cell carcinoma simultaneous integrated boost IMRT protocol were used. Clinical dose distributions, computed with an SC algorithm, were recomputed using an EGS4-based MC algorithm. Phantom-based dosimetry quantified the fluence prediction accuracy of each algorithm. Dose-volume indices were used to compare patient dose distributions. The MC algorithm predicts flat-phantom measurements better than the SC algorithm. Average patient dose indices agreed within 2.5% of the local dose for targets; 5.0% for parotids; and 1.9% for cord and brainstem. However, only 1 of 31 plans agreed within 3% for all indices; 4 of 31 agreed within 5%. In terms of the prescription dose, 4 of 31 plans agreed within 3% for all indices, whereas 28 of 31 agreed within 5%. Average SC-computed doses agreed with MC results in the patient geometry; however deviations >5% were common. The fluence modulation prediction is likely the major source of the dose discrepancy. The observed dose deviations can impact dose escalation protocols, because they would result in shifting patients to higher dose levels.

          Related collections

          Author and article information

          Journal
          16458782
          10.1016/j.ijrobp.2005.09.049

          Chemistry
          Algorithms,Carcinoma, Squamous Cell,radiotherapy,Head and Neck Neoplasms,Humans,Monte Carlo Method,Radiotherapy Dosage,Radiotherapy, Intensity-Modulated

          Comments

          Comment on this article