PloS one, 2013-11, Vol.8 (11), p.e79115-e79115
2013
Details
- Autor(en) / Beteiligte
- Titel
- Toward patient-specific, biologically optimized radiation therapy plans for the treatment of glioblastoma
- Ist Teil von
- PloS one, 2013-11, Vol.8 (11), p.e79115-e79115
- Ort / Verlag
- United States: Public Library of Science
- Erscheinungsjahr
- 2013
- Link zum Volltext
- Quelle
- Electronic Journals Library - Freely accessible e-journals
- Beschreibungen/Notizen
- To demonstrate a method of generating patient-specific, biologically-guided radiotherapy dose plans and compare them to the standard-of-care protocol. We integrated a patient-specific biomathematical model of glioma proliferation, invasion and radiotherapy with a multiobjective evolutionary algorithm for intensity-modulated radiation therapy optimization to construct individualized, biologically-guided plans for 11 glioblastoma patients. Patient-individualized, spherically-symmetric simulations of the standard-of-care and optimized plans were compared in terms of several biological metrics. The integrated model generated spatially non-uniform doses that, when compared to the standard-of-care protocol, resulted in a 67% to 93% decrease in equivalent uniform dose to normal tissue, while the therapeutic ratio, the ratio of tumor equivalent uniform dose to that of normal tissue, increased between 50% to 265%. Applying a novel metric of treatment response (Days Gained) to the patient-individualized simulation results predicted that the optimized plans would have a significant impact on delaying tumor progression, with increases from 21% to 105% for 9 of 11 patients. Patient-individualized simulations using the combination of a biomathematical model with an optimization algorithm for radiation therapy generated biologically-guided doses that decreased normal tissue EUD and increased therapeutic ratio with the potential to improve survival outcomes for treatment of glioblastoma.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1932-6203eISSN: 1932-6203DOI: 10.1371/journal.pone.0079115Titel-ID: cdi_plos_journals_1450255300
- Format
- –
- Schlagworte
- Adult, Aged, Algorithms, Applied mathematics, Biological effects, Brain cancer, Cancer therapies, Care and treatment, Cell Proliferation - radiation effects, Cohort Studies, Comparative analysis, Computer simulation, Construction planning, Development and progression, Dosimetry, Drug dosages, Equivalence, Evolutionary algorithms, Female, Glioblastoma, Glioblastoma - diagnosis, Glioblastoma - pathology, Glioblastoma - radiotherapy, Glioblastoma multiforme, Glioblastomas, Glioma, Health aspects, Humans, Male, Mathematical models, Mathematical optimization, Middle Aged, Models, Biological, Multiple objective analysis, Neoplasm Invasiveness, NMR, Nuclear magnetic resonance, Oncology, Optimization, Optimization theory, Patients, Precision Medicine - methods, Prognosis, Radiation, Radiation (Physics), Radiation therapy, Radiotherapy, Radiotherapy Dosage, Radiotherapy Planning, Computer-Assisted - methods, Radiotherapy, Intensity-Modulated - methods, Surgery, Treatment Outcome