PD-0041: Monte-Carlo model development for evaluation of current clinical target volume (CTV) definition for glioblastoma

2014 ◽  
Vol 111 ◽  
pp. S14
Author(s):  
L. Moghaddasi ◽  
E. Bezak ◽  
W. Harriss-Phillips
1974 ◽  
Vol 18 (4) ◽  
pp. 425-428
Author(s):  
Mark G. Pfeiffer ◽  
Arthur I. Siegel

The paper describes the process of model development and applies multiattribute utility theory to the practical problem of optimizing the selection among competing models designed for the same purpose. As an example, two models (Human Interactive and Monte Carlo) are compared which differ on the basis of their existing levels of abstraction, or their degree of remoteness from the real world. The slight superiority of the Monte Carlo Model resulted largely because it had higher utilities for the more important attributes of models such as repeatability of output, degree of error/low variability, and feasibility of use and application.


2008 ◽  
Vol 7 (1) ◽  
pp. 77-95 ◽  
Author(s):  
Kenza Jaidi ◽  
Benoit Barbeau ◽  
Annie Carrière ◽  
Raymond Desjardins ◽  
Michèle Prévost

A Monte Carlo model, based on the Quantitative Microbial Risk Analysis approach (QMRA), has been developed to assess the relative risks of infection associated with the presence of Cryptosporidium and Giardia in drinking water. The impact of various approaches for modelling the initial parameters of the model on the final risk assessments is evaluated. The Monte Carlo simulations that we performed showed that the occurrence of parasites in raw water was best described by a mixed distribution: log-Normal for concentrations > detection limit (DL), and a uniform distribution for concentrations < DL. The selection of process performance distributions for modelling the performance of treatment (filtration and ozonation) influences the estimated risks significantly. The mean annual risks for conventional treatment are: 1.97E−03 (removal credit adjusted by log parasite = log spores), 1.58E−05 (log parasite = 1.7 × log spores) or 9.33E−03 (regulatory credits based on the turbidity measurement in filtered water). Using full scale validated SCADA data, the simplified calculation of CT performed at the plant was shown to largely underestimate the risk relative to a more detailed CT calculation, which takes into consideration the downtime and system failure events identified at the plant (1.46E−03 vs. 3.93E−02 for the mean risk).


2015 ◽  
Author(s):  
Qiong Zhang ◽  
Freddy Mendez ◽  
John Longo ◽  
Sandeep Gade ◽  
Steve Bliven

2021 ◽  
Vol 427 ◽  
pp. 74-83
Author(s):  
Junjie Hu ◽  
Ying Song ◽  
Lei Zhang ◽  
Sen Bai ◽  
Zhang Yi

Medicina ◽  
2020 ◽  
Vol 57 (1) ◽  
pp. 6
Author(s):  
Camil Ciprian Mireştean ◽  
Anda Crişan ◽  
Călin Buzea ◽  
Roxana Irina Iancu ◽  
DragoşPetru Teodor Iancu

The combination of immune checkpoint inhibitors and definitive radiotherapy is investigated for the multimodal treatment of cisplatin non-eligible locally advanced head and neck cancers (HNC). In the case of recurrent and metastatic HNC, immunotherapy has shown benefit over the EXTREME protocol, being already considered the standard treatment. One of the biggest challenges of multimodal treatment is to establish the optimal therapy sequence so that the synergistic effect is maximal. Thus, superior results were obtained for the administration of anti-CTLA4 immunotherapy followed by hypofractionated radiotherapy, but the anti-PD-L1 therapy demonstrates the maximum potential of radio-sensitization of the tumor in case of concurrent administration. The synergistic effect of radiotherapy–immunotherapy (RT–IT) has been demonstrated in clinical practice, with an overall response rate of about 18% for HNC. Given the demonstrated potential of radiotherapy to activate the immune system through already known mechanisms, it is necessary to identify biomarkers that direct the “nonresponders” of immunotherapy towards a synergistic RT–IT stimulation strategy. Stimulation of the immune system by irradiation can convert “nonresponder” to “responder”. With the development of modern techniques, re-irradiation is becoming an increasingly common option for patients who have previously been treated with higher doses of radiation. In this context, radiotherapy in combination with immunotherapy, both in the advanced local stage and in recurrent/metastatic of HNC radiotherapy, could evolve from the “first level” of knowledge (i.e., ballistic precision, dose conformity and homogeneity) to “level two” of “biological dose painting” (in which the concept of tumor heterogeneity and radio-resistance supports the need for doses escalation based on biological criteria), and finally to the “third level“ ofthe new concept of “immunological dose painting”. The peculiarity of this concept is that the radiotherapy target volumes and tumoricidal dose can be completely reevaluated, taking into account the immune-modulatory effect of irradiation. In this case, the tumor target volume can include even the tumor microenvironment or a partial volume of the primary tumor or metastasis, not all the gross and microscopic disease. Tumoricidal biologically equivalent dose (BED) may be completely different from the currently estimated values, radiotherapy treating the tumor in this case indirectly by boosting the immune response. Thus, the clinical target volume (CTV) can be replaced with a new immunological-clinical target volume (ICTV) for patients who benefit from the RT–IT association (Image 1).


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