Prog Med Phys.  2022 Sep;33(3):25-35. 10.14316/pmp.2022.33.3.25.

Comparison of Dose Statistics of IntensityModulated Radiation Therapy Plan from Varian Eclipse Treatment Planning System with Novel Python-Based Indigenously Developed Software

Affiliations
  • 1Department of Radiation Oncology, Thangam Cancer Hospital, Namakkal, Tamil Nadu, India
  • 2PG & Research, Department of Physics, Jamal Mohamed College (Autonomous), Affiliated to Bharathidasan University, Tiruchirappalli, Tamilnadu, India
  • 3Department of Medical Physics, Hind Institute of Medical Sciences and Hospital, Lucknow, Uttar Pradesh, India
  • 4Department of Radiation Oncology, KLES Belgaum Cancer Hospital, Belgaum, Karnataka, India
  • 5Department of Medical Physics, Bharathidasan University,Trichy, India

Abstract

Purpose
Planning for radiotherapy relies on implicit estimation of the probability of tumor control and the probability of complications in adjacent normal tissues for a given dose distribution.
Methods
The aim of this pilot study was to reconstruct dose-volume histograms (DVHs) from text files generated by the Eclipse treatment planning system developed by Varian Medical Systems and to verify the integrity and accuracy of the dose statistics.
Results
We further compared dose statistics for intensity-modulated radiotherapy of the head and neck between the Eclipse software and software developed in-house. The dose statistics data obtained from the Python software were consistent, with deviations from the Eclipse treatment planning system found to be within acceptable limits.
Conclusions
The in-house software was able to provide indices of hotness and coldness for treatment planning and store statistical data generated by the software in Oracle databases. We believe the findings of this pilot study may lead to more accurate evaluations in planning for radiotherapy.

Keyword

Matrix laboratory; Python; Intensity-modulated radiation therapy; 3 dimensional conformal radiation therapy; Normal tissue complication probability; Tumor control probability
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