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A Collimator Setting Optimization Algorithm for Dual-Arc Volumetric Modulated Arc Therapy in Pancreas Stereotactic Body Radiation Therapy.

dc.contributor.author Li, Xinyi
dc.contributor.author Wu, Jackie
dc.contributor.author Palta, Manisha
dc.contributor.author Zhang, You
dc.contributor.author Sheng, Yang
dc.contributor.author Zhang, Jiahan
dc.contributor.author Wang, Chunhao
dc.date.accessioned 2020-03-24T13:19:18Z
dc.date.available 2020-03-24T13:19:18Z
dc.date.issued 2019-01
dc.identifier.issn 1533-0346
dc.identifier.issn 1533-0338
dc.identifier.uri https://hdl.handle.net/10161/20270
dc.description.abstract PURPOSE:To optimize collimator setting to improve dosimetric quality of pancreas volumetric modulated arc therapy plan for stereotactic body radiation therapy. MATERIALS AND METHODS:Fifty-five volumetric modulated arc therapy cases in stereotactic body radiation therapy of pancreas were retrospectively included in this study with internal review board approval. Different from the routine practice of initializing collimator settings with a template, the proposed algorithm simultaneously optimizes the collimator angles and jaw positions that are customized to the patient geometry. Specifically, this algorithm includes 2 key steps: (1) an iterative optimization algorithm via simulated annealing that generates a set of potential collimator settings from 39 cases with pancreas stereotactic body radiation therapy, and (2) a multi-leaf collimator modulation scoring system that makes the final decision of the optimal collimator settings (collimator angles and jaw positions) based on organs at risk sparing criteria. For validation, the other 16 cases with pancreas stereotactic body radiation therapy were analyzed. Two plans were generated for each validation case, with one plan optimized using the proposed algorithm (Planopt) and the other plan with the template setting (Planconv). Each plan was optimized with 2 full arcs and the same set of constraints for the same case. Dosimetric results were analyzed and compared, including target dose coverage, conformity, organs at risk maximum dose, and modulation complexity score. All results were tested by Wilcoxon signed rank tests, and the statistical significance level was set to .05. RESULTS:Both plan groups had comparable target dose coverage and mean doses of all organs at risk. However, organs at risk (stomach, duodenum, large/small bowel) maximum dose sparing (D0.1 cc and D0.03 cc) was improved in Planopt compared to Planconv. Planopt also showed lower modulation complexity score, which suggests better capability of handling complex shape and sparing organs at risk . CONCLUSIONS:The proposed collimator settings optimization algorithm successfully improved dosimetric performance for dual-arc pancreas volumetric modulated arc therapy plans in stereotactic body radiation therapy of pancreas. This algorithm has the capability of immediate clinical application.
dc.language eng
dc.publisher SAGE Publications
dc.relation.ispartof Technology in cancer research & treatment
dc.relation.isversionof 10.1177/1533033819870767
dc.subject Humans
dc.subject Pancreatic Neoplasms
dc.subject Radiosurgery
dc.subject Radiotherapy Dosage
dc.subject Radiotherapy Planning, Computer-Assisted
dc.subject Retrospective Studies
dc.subject Algorithms
dc.subject Radiotherapy, Intensity-Modulated
dc.subject Organs at Risk
dc.title A Collimator Setting Optimization Algorithm for Dual-Arc Volumetric Modulated Arc Therapy in Pancreas Stereotactic Body Radiation Therapy.
dc.type Journal article
duke.contributor.id Palta, Manisha|0411481
duke.contributor.id Wang, Chunhao|0587158
dc.date.updated 2020-03-24T13:19:16Z
pubs.begin-page 1533033819870767
pubs.organisational-group School of Medicine
pubs.organisational-group Duke Cancer Institute
pubs.organisational-group Radiation Oncology
pubs.organisational-group Duke
pubs.organisational-group Institutes and Centers
pubs.organisational-group Clinical Science Departments
pubs.publication-status Published
pubs.volume 18


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