Verification of treatment parameter transfer by means of electronic portal dosimetry

2004 ◽  
Vol 31 (2) ◽  
pp. 341-347 ◽  
Author(s):  
S. M. J. J. G. Nijsten ◽  
A. W. H. Minken ◽  
P. Lambin ◽  
I. A. D. Bruinvis
Keyword(s):  
Portal Dosimetry ◽  
Treatment Parameter

scholarly journals Personalized Immunotherapy Treatment Strategies for a Dynamical System of Chronic Myelogenous Leukemia

Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 2030
Author(s):  
Paul A. Valle ◽  
Luis N. Coria ◽  
Corina Plata
Keyword(s):  
Dynamical System ◽  
Cancer Cells ◽  
Chronic Myelogenous Leukemia ◽  
Sufficient Conditions ◽  
Treatment Strategies ◽  
Myelogenous Leukemia ◽  
Invariant Sets ◽  
Cellular Immunotherapy ◽  
Complete Eradication ◽  
Treatment Parameter

This paper is devoted to exploring personalized applications of cellular immunotherapy as a control strategy for the treatment of chronic myelogenous leukemia described by a dynamical system of three first-order ordinary differential equations. The latter was achieved by applying both the Localization of Compact Invariant Sets and Lyapunov’s stability theory. Combination of these two approaches allows us to establish sufficient conditions on the immunotherapy treatment parameter to ensure the complete eradication of the leukemia cancer cells. These conditions are given in terms of the system parameters and by performing several in silico experimentations, we formulated a protocol for the therapy application that completely eradicates the leukemia cancer cells population for different initial tumour concentrations. The formulated protocol does not dangerously increase the effector T cells population. Further, complete eradication is considered when solutions go below a finite critical value below which cancer cells cannot longer persist; i.e., one cancer cell. Numerical simulations are consistent with our analytical results.

scholarly journals EP-1694 Evaluation of a new portal dosimetry solution for dose quality control of Elekta and Varian linacs

2019 ◽  
Vol 133 ◽  
pp. S911-S912
Author(s):  
S. Couespel ◽  
N. Delaby ◽  
S. Sorel ◽  
C. Boutry ◽  
C. Lafond
Keyword(s):  
Quality Control ◽  
Portal Dosimetry

Optimization of Treatment Parameters on the Recycling of Used Lubricating Oil

2013 ◽  
Vol 699 ◽  
pp. 735-741 ◽  
Author(s):  
Ambali Saka Abdulkareem ◽  
Edison Muzenda ◽  
Ayo Samuel Afolabi
Keyword(s):  
Metal Content ◽  
Acid Treatment ◽  
Conventional Treatment ◽  
Treatment Time ◽  
Optimal Solution ◽  
Absorption Spectrometry ◽  
Treatment Temperature ◽  
Lubricating Oil ◽  
Used Oil ◽  
Treatment Parameter

Acid treatment is one of the cheapest techniques and least applicable processes in the recycling of used lubricating oils. In this work, the performance of sulphuric acid in the treatment used oil was studied. The effects of the critical treatment parameters (acid volume, concentration of the acid, treatment temperature, stirring time and treatment time) were investigated by varying one treatment parameter at a time and analysing metal content in the sample of the treated oil using atomic absorption spectrometry (ASS). Thereafter, an optimal solution was determined by the combination of the optimum values of each treatment parameters. The original conventional treatment parameter values, resulted in 13.2 ppm and thereafter was optimised to 11 ppm this showed a definite improvement in efficiency. This result is also comparable to other data obtained in previously studied work which employed the same conventional treatment parameters. The optimal solution is within 10% variation as compared the standard individual metal content which ranges 0-10 ppm.

scholarly journals EP-1416: Classification of alerts observed during large scale in vivo portal dosimetry

2015 ◽  
Vol 115 ◽  
pp. S765
Author(s):  
A. Mans ◽  
R.A. Rozendaal ◽  
P. González ◽  
M. Van Herk ◽  
B.J. Mijnheer
Keyword(s):  
Large Scale ◽  
Portal Dosimetry

Predicting gamma passing rates for portal dosimetry‐based IMRT QA using machine learning

2019 ◽  
Vol 46 (10) ◽  
pp. 4666-4675 ◽  
Author(s):  
Dao Lam ◽  
Xizhe Zhang ◽  
Harold Li ◽  
Yang Deshan ◽  
Brayden Schott ◽  
...  
Keyword(s):  
Machine Learning ◽  
Imrt Qa ◽  
Passing Rates ◽  
Portal Dosimetry
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