Related Experiment Video
Updated: May 2, 2026

Voluntary Breath-hold Technique for Reducing Heart Dose in Left Breast Radiotherapy
Published on: July 3, 2014
Dosimetric Impact of AAA and AXB Dose Calculation Algorithm in VMAT Treatment Planning for Rectal Tumors
Karthikeyan Srinivasan1,2, Sureka Chandrasekaran Sekaran1, Suresh Thangavelu1,2
1Department of Medical Physics, Bharathiyar University, Coimbatore, Tamil Nadu, India.
Aim:
The study aims to compare the accuracy of Anisotropic Analytical Algorithm (AAA) and acuros XB (AXB) dose calculation algorithms for radiotherapy (RT) planning of rectal tumors.
Materials And Methods:
Treatment plans from 20 patients with previously treated rectal cancer were retrospectively analyzed. All patients underwent VMAT treatment planning using the AAA algorithm in Eclipse (v15.6) system. These plans were recalculated with AXB in Eclipse (v15.6) while maintaining the original multileaf collimator fluence. Dosimetric parameters and gamma analysis (3%/3 mm and 2%/2 mm criteria) were compared between the two algorithms. A paired two-tailed t-test was used to statistically compare dosimetric and gamma analysis results between the AAA and AXB algorithms.
Results:
The results indicate that AAA could be potentially overestimating the dose to planning target volume (PTV). While the mean bowel dose was marginally lower in AAA plans (P = 0.013), doses to other organs at risk (OARs) were slightly higher, suggesting a general overestimation trend. This implies that AAA could be potentially overestimating the dose to OARs and PTV as compared to AXB. The statistical analysis of the Gamma parameters also shows a significant change.
Conclusion:
The results indicate that the dose calculation accuracy of AXB is superior to AAA for rectal cancer RT.
More Related Videos
08:34Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
Published on: February 6, 2019
07:57Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
Published on: March 24, 2022