Integral dose based inverse optimization objective function promises lower toxicity in head-and-neck |
| |
| Institution: | 1. Department of Radiation Oncology, University of Miami, 1475 NW 12th Ave, Suite 1500, Miami, FL 33136, United States;2. Radiation Oncology and Diagnostic Imaging, H. Lee Moffitt Cancer Center, 12902 Magnolia Dr., Tampa, FL 33612, United States;1. Grupo de Protecção e Segurança Radiológica, Centro de Ciências e Tecnologias Nucleares (C2TN), CTN/IST, Pólo de Loures. Estrada Nacional 10 (km 139,7), 2695-066 Bobadela LRS, Portugal;2. Departamento de Física, Faculdade de Ciências e Tecnologias da Universidade Nova de Lisboa, Quinta da Torre, Campus Universitário, 2829-516 Caparica, Portugal;3. Serviço de Medicina Nuclear, Champalimaud Centre for the Unknown, Av. Brasília, 1400-038 Lisboa, Portugal;4. Instituto de Biofísica e Engenharia Biomédica, Faculdade de Ciências da Universidade de Lisboa, Campo Grande 1749-016 Lisboa, Portugal;1. Digital Medical Research Center, School of Basic Medical Sciences, Fudan University, Shanghai, China;2. Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai, China;1. Massachusetts General Hospital, Harvard Medical School, Boston, USA;2. Department of Mechanical Engineering, Catholic University of Leuven, Leuven, Belgium;3. Department of Radiology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand;4. Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA;1. Department of Medical Physics, Medical School, University of Crete, P.O. Box 2208, Heraklion 71003, Crete, Greece;2. Department of Radiology, University Hospital of Heraklion, P.O. Box 1352, Heraklion 71110, Crete, Greece;3. Department of Medical Physics, University Hospital of Heraklion, P.O. Box 1352, Heraklion 71110, Crete, Greece;4. Department of Medical Physics, University Hospital of Heraklion, Greece;5. Department of Radiology, Medical School, University of Crete, Greece;1. Department of Radiation Oncology, Hiroshima University Hospital, Japan;2. Radiation Therapy Section, Department of Clinical Support, Hiroshima University Hospital, Japan |
| |
| Abstract: | PurposeThe voxels in a CT data sets contain density information. Besides its use in dose calculation density has no other application in modern radiotherapy treatment planning. This work introduces the use of density information by integral dose minimization in radiotherapy treatment planning for head-and-neck squamous cell carcinoma (HNSCC).Materials and methodsEighteen HNSCC cases were studied. For each case two intensity modulated radiotherapy (IMRT) plans were created: one based on dose-volume (DV) optimization, and one based on integral dose minimization (Energy hereafter) inverse optimization. The target objective functions in both optimization schemes were specified in terms of minimum, maximum, and uniform doses, while the organs at risk (OAR) objectives were specified in terms of DV- and Energy-objectives respectively. Commonly used dosimetric measures were applied to assess the performance of Energy-based optimization. In addition, generalized equivalent uniform doses (gEUDs) were evaluated. Statistical analyses were performed to estimate the performance of this novel inverse optimization paradigm.ResultsEnergy-based inverse optimization resulted in lower OAR doses for equivalent target doses and isodose coverage. The statistical tests showed dose reduction to the OARs with Energy-based optimization ranging from ～2% to ～15%.ConclusionsIntegral dose minimization based inverse optimization for HNSCC promises lower doses to nearby OARs. For comparable therapeutic effect the incorporation of density information into the optimization cost function allows reduction in the normal tissue doses and possibly in the risk and the severity of treatment related toxicities. |
| |
| Keywords: | Integral dose IMRT Imaging Mass Dose Optimization |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
