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The use of on-line image verification to estimate the variation in radiation therapy dose delivery

Journal Article · · International Journal of Radiation Oncology, Biology and Physics
; ; ; ; ; ; ; ;  [1]
  1. Washington Univ. School of Medicine, St. Louis, MO (United States)
On-line radiotherapy imaging systems provide data that allow us to study the geometric nature of treatment variation. It is more clinically relevant to examine the resultant dosimetric variation. In this work, daily beam position as recorded by the on-line images is used to recalculate the treatment plan to show the effect geometric variation has on dose. On-line Image Verification (OLIV) data can differentiate between systematic and random errors in a course of daily radiation therapy. The data emphasize that the type and magnitude of patient set-up errors are unique for individual patients and different clinical situations. Head and neck sites has the least random variation (average 0-100% block overlap isofrequency distribution width = 7 mm) compared to thoracic (average 0-100% block overlap isofrequency distribution width = 12 mm) or pelvic sites (average 0-100% block overlap isofrequency distribution width = 14 mm). When treatment delivery is analyzed case by case, systematic as well as random errors are represented. When the data are pooled by anatomical site, individuality of variations is lost and variation appears random. Recalculated plans demonstrated dosimetric deviations from the original plans. The differences between the two dosimetric distributions were emphasized using a technique of plan subtraction. This allowed quick identification of relative {open_quotes}hot and cold spots{close_quotes} in the recalculated plans. The magnitude and clinical significance of dosimetric variation was unique for each patient. OLIV data are useful to study geometric uncertainties because of the unique nature for individual patients. Dose recalculation is helpful to illustrate the dosimetric consequences of set-up errors. 18 refs., 9 figs., 2 tabs.
Sponsoring Organization:
USDOE
OSTI ID:
54873
Journal Information:
International Journal of Radiation Oncology, Biology and Physics, Journal Name: International Journal of Radiation Oncology, Biology and Physics Journal Issue: 3 Vol. 27; ISSN 0360-3016; ISSN IOBPD3
Country of Publication:
United States
Language:
English

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