On-line adaptive radiation therapy: feasibility and clinical study.

Abstract

The purpose of this paper is to evaluate the feasibility and clinical dosimetric benefit of an on-line, that is, with the patient in the treatment position, Adaptive Radiation Therapy (ART) system for prostate cancer treatment based on daily cone-beam CT imaging and fast volumetric reoptimization of treatment plans. A fast intensity-modulated radiotherapy (IMRT) plan reoptimization algorithm is implemented and evaluated with clinical cases. The quality of these adapted plans is compared to the corresponding new plans generated by an experienced planner using a commercial treatment planning system and also evaluated by an in-house developed tool estimating achievable dose-volume histograms (DVHs) based on a database of existing treatment plans. In addition, a clinical implementation scheme for ART is designed and evaluated using clinical cases for its dosimetric qualities and efficiency.

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Citation

Published Version (Please cite this version)

10.1155/2010/407236

Publication Info

Li, Taoran, Xiaofeng Zhu, Danthai Thongphiew, W Robert Lee, Zeljko Vujaskovic, Qiuwen Wu, Fang-Fang Yin, Q Jackie Wu, et al. (2010). On-line adaptive radiation therapy: feasibility and clinical study. Journal of oncology, 2010. p. 407236. 10.1155/2010/407236 Retrieved from https://hdl.handle.net/10161/21119.

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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

Qiuwen Wu

Professor of Radiation Oncology

My research interests include intensity-modulated radiation therapy (IMRT), volumetric-modulated arc therapy (VMAT), Dynamic Electron Arc Radiotherapy (DEAR), and image-guided radiation therapy (IGRT). For IMRT, my work includes the development of the research platform, fast and accurate dose calculations, optimization based on physical and biological objectives such as generalized equivalent uniform dose (gEUD), and delivery with a dynamic multi-leaf collimator (DMLC). For VMAT, I am interested in optimization, quality assurance, and novel applications. For DEAR, I'm interested in the treatment planning and delivery verifications. For IGRT, my work includes the development of the infrastructure of the online and offline image guidance, characterization of patient anatomic changes and treatment uncertainties, margin calculations, and adaptive treatment planning. My recent research interests also include the use of AI in treatment planning, Brachytherapy dose calculation and plan optimization.

My clinical interests include prostate cancer, head and neck cancer, total body irradiation (TBI), and total skin irradiation (TSI)

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

Wu

Qingrong Wu

Professor of Radiation Oncology

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