Plan Complexity and Delivery Accuracy of Knowledge-based Volumetric Modulated Arc Therapy Plans with Single Optimization for Oropharyngeal Cancer

2021 ◽  
Vol 41 (6) ◽  
pp. 2925-2931
Author(s):  
KATSUYA OKUHATA ◽  
HAJIME MONZEN ◽  
MIKOTO TAMURA ◽  
KENJI MATSUMOTO ◽  
MASAKAZU OTSUKA ◽  
...  
Keyword(s):  
Oropharyngeal Cancer ◽  
Volumetric Modulated Arc Therapy ◽  
Knowledge Based ◽  
Arc Therapy ◽  
Delivery Accuracy

Gamma-index method sensitivity for gauging plan delivery accuracy of volumetric modulated arc therapy

2015 ◽  
Vol 31 (8) ◽  
pp. 1118-1122 ◽  
Author(s):  
Jong In Park ◽  
Jong Min Park ◽  
Jung-in Kim ◽  
So-Yeon Park ◽  
Sung-Joon Ye
Keyword(s):  
Volumetric Modulated Arc Therapy ◽  
Index Method ◽  
Gamma Index ◽  
Arc Therapy ◽  
Delivery Accuracy

scholarly journals Evaluation of a highly refined prediction model in knowledge-based volumetric modulated arc therapy planning for cervical cancer

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Mingli Wang ◽  
Huikuan Gu ◽  
Jiang Hu ◽  
Jian Liang ◽  
Sisi Xu ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Prediction Model ◽  
Volumetric Modulated Arc Therapy ◽  
Model Evolution ◽  
Prediction Ability ◽  
Knowledge Based ◽  
Proposed Model ◽  
Arc Therapy ◽  
Knowledge Based Planning

Abstract Background and purpose To explore whether a highly refined dose volume histograms (DVH) prediction model can improve the accuracy and reliability of knowledge-based volumetric modulated arc therapy (VMAT) planning for cervical cancer. Methods and materials The proposed model underwent repeated refining through progressive training until the training samples increased from initial 25 prior plans up to 100 cases. The estimated DVHs derived from the prediction models of different runs of training were compared in 35 new cervical cancer patients to analyze the effect of such an interactive plan and model evolution method. The reliability and efficiency of knowledge-based planning (KBP) using this highly refined model in improving the consistency and quality of the VMAT plans were also evaluated. Results The prediction ability was reinforced with the increased number of refinements in terms of normal tissue sparing. With enhanced prediction accuracy, more than 60% of automatic plan-6 (AP-6) plans (22/35) can be directly approved for clinical treatment without any manual revision. The plan quality scores for clinically approved plans (CPs) and manual plans (MPs) were on average 89.02 ± 4.83 and 86.48 ± 3.92 (p < 0.001). Knowledge-based planning significantly reduced the Dmean and V18 Gy for kidney (L/R), the Dmean, V30 Gy, and V40 Gy for bladder, rectum, and femoral head (L/R). Conclusion The proposed model evolution method provides a practical way for the KBP to enhance its prediction ability with minimal human intervene. This highly refined prediction model can better guide KBP in improving the consistency and quality of the VMAT plans.

scholarly journals Performance of a Knowledge-Based Model for Optimization of Volumetric Modulated Arc Therapy Plans for Single and Bilateral Breast Irradiation

PLoS ONE ◽  
2015 ◽  
Vol 10 (12) ◽  
pp. e0145137 ◽  
Author(s):  
Antonella Fogliata ◽  
Giorgia Nicolini ◽  
Celine Bourgier ◽  
Alessandro Clivio ◽  
Fiorenza De Rose ◽  
...  
Keyword(s):  
Volumetric Modulated Arc Therapy ◽  
Breast Irradiation ◽  
Knowledge Based ◽  
Arc Therapy

scholarly journals Improving Delivery Accuracy of Stereotactic Body Radiotherapy to a Moving Tumor Using Simplified Volumetric Modulated Arc Therapy

PLoS ONE ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. e0158053 ◽  
Author(s):  
Young Eun Ko ◽  
Byungchul Cho ◽  
Su Ssan Kim ◽  
Si Yeol Song ◽  
Eun Kyung Choi ◽  
...  
Keyword(s):  
Stereotactic Body Radiotherapy ◽  
Volumetric Modulated Arc Therapy ◽  
Arc Therapy ◽  
Delivery Accuracy
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