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Quantitative comparison of automatic and manual IMRT optimization for prostate cancer: the benefits of DVH prediction.

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Date
2015-03-08
Authors
Yang, Yun
Li, Taoran
Yuan, Lunlin
Ge, Yaorong
Yin, Fang-Fang
Lee, W Robert
Wu, Q Jackie
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Abstract
A recent publication indicated that the patient anatomical feature (PAF) model was capable of predicting optimal objectives based on past experience. In this study, the benefits of IMRT optimization using PAF-predicted objectives as guidance for prostate were evaluated. Three different optimization methods were compared.1) Expert Plan: Ten prostate cases (16 plans) were planned by an expert planner using conventional trial-and-error approach started with institutional modified OAR and PTV constraints. Optimization was stopped at 150 iterations and that plan was saved as Expert Plan. 2) Clinical Plan: The planner would keep working on the Expert Plan till he was satisfied with the dosimetric quality and the final plan was referred to as Clinical Plan. 3) PAF Plan: A third sets of plans for the same ten patients were generated fully automatically using predicted DVHs as guidance. The optimization was based on PAF-based predicted objectives, and was continued to 150 iterations without human interaction. DMAX and D98% for PTV, DMAX for femoral heads, DMAX, D10cc, D25%/D17%, and D40% for bladder/rectum were compared. Clinical Plans are further optimized with more iterations and adjustments, but in general provided limited dosimetric benefits over Expert Plans. PTV D98% agreed within 2.31% among Expert, Clinical, and PAF plans. Between Clinical and PAF Plans, differences for DMAX of PTV, bladder, and rectum were within 2.65%, 2.46%, and 2.20%, respectively. Bladder D10cc was higher for PAF but < 1.54% in general. Bladder D25% and D40% were lower for PAF, by up to 7.71% and 6.81%, respectively. Rectum D10cc, D17%, and D40% were 2.11%, 2.72%, and 0.27% lower for PAF, respectively. DMAX for femoral heads were comparable (< 35 Gy on average). Compared to Clinical Plan (Primary + Boost), the average optimization time for PAF plan was reduced by 5.2 min on average, with a maximum reduction of 7.1min. Total numbers of MUs per plan for PAF Plans were lower than Clinical Plans, indicating better delivery efficiency. The PAF-guided planning process is capable of generating clinical-quality prostate IMRT plans with no human intervention. Compared to manual optimization, this automatic optimization increases planning and delivery efficiency, while maintainingplan quality.
Type
Journal article
Subject
Humans
Prostatic Neoplasms
Radiotherapy Planning, Computer-Assisted
Radiometry
Automation
Male
Radiotherapy, Intensity-Modulated
Organs at Risk
Permalink
https://hdl.handle.net/10161/19400
Published Version (Please cite this version)
10.1120/jacmp.v16i2.5204
Publication Info
Yang, Yun; Li, Taoran; Yuan, Lunlin; Ge, Yaorong; Yin, Fang-Fang; Lee, W Robert; & Wu, Q Jackie (2015). Quantitative comparison of automatic and manual IMRT optimization for prostate cancer: the benefits of DVH prediction. Journal of applied clinical medical physics, 16(2). pp. 5204. 10.1120/jacmp.v16i2.5204. Retrieved from https://hdl.handle.net/10161/19400.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Lee

W. Robert Lee

Professor of Radiation Oncology
Prostate cancer, Intensity-modulated radiation therapy (IMRT), Image-guided radiation therapy (IGRT), Stereotactic Body Radiation Therapy (SBRT), Prostate HDR and LDR Brachytherapy, Quality of Life, Educational Technology
Wu

Qingrong Wu

Professor of Radiation Oncology
Yin

Fang-Fang Yin

Gustavo S. Montana Distinguished Professor of Radiation Oncology
Stereotactic radiosurgery, Stereotactic body radiation therapy, treatment planning optimization, knowledge guided radiation therapy, intensity-modulated radiation therapy, image-guided radiation therapy, oncological imaging and informatics
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