Update on yesterday’s dose—Use of delivery log-files for daily adaptive proton therapy (DAPT)

2020 ◽  
Vol 65 (19) ◽  
pp. 195011
Author(s):  
M Matter ◽  
L Nenoff ◽  
L Marc ◽  
D C Weber ◽  
A J Lomax ◽  
...  
Keyword(s):  
Author(s):  
Lewei Zhao ◽  
Gang Liu ◽  
Weili Zheng ◽  
Jiajian Shen ◽  
Andrew Lee ◽  
...  

Abstract Objective: We proposed an experimental approach to build a precise machine-specific beam delivery time (BDT) prediction and delivery sequence model for standard, volumetric, and layer repainting delivery based on a cyclotron accelerator system. Approach Test fields and clinical treatment plans’ log files were used to experimentally derive three main beam delivery parameters that impacted BDT: energy layer switching time (ELST), spot switching time (SSWT), and spot drill time (SDT). This derived machine-specific model includes standard, volumetric, and layer repainting delivery sequences. A total of 103 clinical treatment fields were used to validate the model. Main results: The study found that ELST is not stochastic in this specific machine. Instead, it is actually the data transmission time or energy selection time, whichever takes longer. The validation showed that the accuracy of each component of the BDT matches well between machine log files and the model’s prediction. The average total BDT was about (-0.74±3.33)% difference compared to the actual treatment log files, which is improved from the current commercial proton therapy system’s prediction (67.22%±26.19%). Significance: An accurate BDT prediction and delivery sequence model was established for an cyclotron-based proton therapy system IBA ProteusPLUS®. Most institutions could adopt this method to build a machine-specific model for their own proton system.


2013 ◽  
Vol 40 (2) ◽  
pp. 021703 ◽  
Author(s):  
Heng Li ◽  
Narayan Sahoo ◽  
Falk Poenisch ◽  
Kazumichi Suzuki ◽  
Yupeng Li ◽  
...  

Skull Base ◽  
2011 ◽  
Vol 21 (S 01) ◽  
Author(s):  
Robert Malyapa ◽  
William Mendenhall ◽  
Craig McKenzie ◽  
Daniel Yeung ◽  
Zuofeng Li ◽  
...  
Keyword(s):  

Author(s):  
В.А. Бывальцев ◽  
И.А. Степанов ◽  
Е.Г. Белых ◽  
А.И. Яруллина

Цель обзора - анализ современных данных литературы о нарушении внутриклеточных сигнальных путей, играющих ведущую роль в развитии менингиом, генетических и молекулярных профилях данной группы опухолей. К настоящему времени изучено множество аберрантных сигнальных внутриклеточных путей, которые играют важнейшую роль в развитии менингиом головного мозга. Четкое понимание поврежденных внутриклеточных каскадов поможет изучить влияние генетических мутаций и их эффектов на менингиомогенез. Подробное исследование генетического и молекулярного профиля менингиом позволит сделать первый уверенный шаг в разработке более эффективных методов лечения данной группы интракраниальных опухолей. Хромосомы 1, 10, 14, 22 и связанные с ними генные мутации ответственны за рост и прогрессию менингиом. Предполагается, что только через понимание данных генетических повреждений будут реализованы новейшие эффективные методы лечения. Будущая терапия будет включать в себя комбинации таргетных молекулярных агентов, в том числе генную терапию, малые интерферирующие РНК, протонную терапию и другие методы воздействия, как результат дальнейшего изучения генетических и биологических изменений, характерных для менингеальных опухолей. Meningiomas are by far the most common tumors arising from the meninges. A myriad of aberrant signaling pathways involved with meningioma tumorigenesis, have been discovered. Understanding these disrupted pathways will aid in deciphering the relationship between various genetic changes and their downstream effects on meningioma pathogenesis. An understanding of the genetic and molecular profile of meningioma would provide a valuable first step towards developing more effective treatments for this intracranial tumor. Chromosomes 1, 10, 14, 22, their associated genes, have been linked to meningioma proliferation and progression. It is presumed that through an understanding of these genetic factors, more educated meningioma treatment techniques can be implemented. Future therapies will include combinations of targeted molecular agents including gene therapy, si-RNA mediation, proton therapy, and other approaches as a result of continued progress in the understanding of genetic and biological changes associated with meningiomas.


2012 ◽  
Author(s):  
Zelig Tochner ◽  
Chris Ainsley ◽  
Maura Kirk ◽  
Derek Dolney ◽  
James McDonough ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document