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Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
Published on: March 11, 2021
A novel conformity index for intensity modulated radiation therapy plan evaluation
Fion W K Cheung1, Maria Y Y Law
1Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong. fioncheung210@yahoo.com.hk
Medical Physics
|September 11, 2012
Summary
A new personalized conformity index (CI(DD)) was developed for intensity modulated radiation therapy (IMRT) head-and-neck cancer plans. This tool offers superior plan quality assessment by considering tumor geometry, improving treatment consistency.
Area of Science:
- Medical Physics
- Radiation Oncology
- Cancer Treatment Planning
Background:
- Intensity modulated radiation therapy (IMRT) is a widely used cancer treatment modality.
- Manual evaluation of IMRT plans for head-and-neck cancers is complex and subjective.
- Objective assessment tools are needed to improve IMRT plan quality and consistency.
Purpose of the Study:
- To develop a personalized conformity index (CI(DD)) for evaluating IMRT plans in head-and-neck cancers.
- To assess the plan quality discerning power of the developed CI(DD) compared to existing indices.
- To provide an objective and geometry-based tool for IMRT plan comparison.
Main Methods:
- A 2D CI incorporating dose and distance (CI(DD)) was developed using MATLAB.
- DICOM RT objects were utilized to compute CI(DD) components, including a distance-based exponential function for cold spot penalty.
- Three nasopharyngeal carcinoma (NPC) patient datasets were used to generate 10 IMRT plans of varying quality for evaluation.
Main Results:
- The CI(DD) scoring system successfully incorporated spatial importance of voxels within the planning target volume (PTV).
- CI(DD) accurately ranked IMRT plan quality by considering the relative importance of cold spots, accounting for tumor geometry.
- CI(DD) demonstrated superior discerning power, evidenced by the largest coefficient of variance compared to other CIs.
Conclusions:
- The developed CI(DD) provides a patient-specific, geometry-based index for comparing IMRT plans in head-and-neck cancers.
- CI(DD) enhances plan quality assessment by considering individual tumor geometry, leading to superior discerning power.
- CI(DD) can serve as an effective tool for benchmarking, reducing plan variability, and advancing IMRT planning quality.
