Models for estimation of the 10B concentration after BPA-fructose complex infusion in patients during epithermal neutron irradiation in BNCT

Ryynänen, Päivi; Kortesniemi, Mika; Coderre, Jeffrey A.; Diaz, Aidnag; Hiismäki, Pekka; Savolainen, Sauli

doi:10.1016/s0360-3016(00)00766-5

Cited by 35 publications

(26 citation statements)

References 19 publications

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“…Neutron irradiation was given from 2 portals, each with a median beam time of 18.6 minutes. Blood samples for boron concentration measurements were collected periodically and analyzed by use of inductively coupled plasma-atomic emission spectrometry (20,23).…”

Section: Administration Of Bnctmentioning

confidence: 99%

Boron Neutron Capture Therapy in the Treatment of Locally Recurred Head-and-Neck Cancer: Final Analysis of a Phase I/II Trial

Kankaanranta

Seppälä

Koivunoro

et al. 2012

International Journal of Radiation Oncology*Biology*Physics

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211

182

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Section: Administration Of Bnctmentioning

confidence: 99%

Boron Neutron Capture Therapy in the Treatment of Locally Recurred Head-and-Neck Cancer: Final Analysis of a Phase I/II Trial

Kankaanranta

Seppälä

Koivunoro

et al. 2012

International Journal of Radiation Oncology*Biology*Physics

Self Cite

211

182

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“…Until now, standard modeling techniques require, in advance, the knowledge of a mathematical analytical function, the parameters of which are determined on the basis of the best agreement between the experimental and estimated data [4, 14,15]. Now, for this model we took advantage of the ANN property of not requiring that knowledge to adapt the relationship between the experimental and estimated data.…”

Section: Discussionmentioning

confidence: 99%

Kohonen classification applying ‘missing variables’ criterion to evaluate the p‐boronophenylalanine human‐body‐concentration decreasing profile of boron neutron capture therapy patients

Magallanes

García-Reiriz

Liberman

et al. 2011

Journal of Chemometrics

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The irradiation dose in tumor and healthy tissue of a boron neutron capture therapy (BNCT) patient depends on the boron concentration in blood. In most treatments, this concentration is experimentally determined before and after irradiation but not while irradiation is being carried out because it is troublesome to take the blood samples when the patient remains isolated in the irradiation room. A few models are used to predict the boron profile during that period, which until now involves a biexponential decay. For the prediction of decay concentration profiles of the p-boronophenylalanine (BPA) in the human body during BNCT treatment, a Kohonen-based neural network method is suggested. The results of various (20 T 20 T 40 Kohonen network) models based on different trainings on the data set of 67 concentration sets (profiles) are described and discussed. The prediction ability and robustness of the modeling method were tested by the leave-one-out procedure. The results show that the method is very robust and mostly independent of small variations. It can yield predictions, root mean squared prediction error (RMSPE), with a maximum of 3.30 mg g S1 for the present cases. In order to show the abilities and limitations of the method, the best and the few worst results are discussed in detail. It should be emphasized that one of the main advantages of this method is the automatic improvement in the prediction ability and robustness of the model by feeding it with an increasing number of data.

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“…This ideal time is when the 10 B concentration in tumour is higher than the concentration in blood and surrounding healthy tissues to prevent damage to these regions. Previous studies carried out in order to estimate brain-to-blood (Br:Bl), T:Br and T:Bl 10 B concentration ratios using kinetic models (Ryynanen et al, 2000; and Inductively Coupled Plasma-Atomic Emission Spectrometry (ICP-AES) (Laakso et al, 2001) techniques, gave different results. Up to now several techniques (Wittig et al, 2008b) have been used to determine the spatial distribution and pharmacokinetics of 10 B agents (Elowitz et al, 1998;Ryynanen et al 2000, Laakso et al, 2001, Kabalka et al, 2003, Wang et al, 2004.…”

Section: Main Limitations For Bnct Effectivenessmentioning

confidence: 99%

Novel Pharmacological and Magnetic Resonance Strategies to Enhance Boron Neutron Capture Therapy (BNCT) Efficacy in the Clinical Treatment of Malignant Glioma

Porcari¹,

Capuani²,

Pastore³

2011

Management of CNS Tumors

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Models for estimation of the 10B concentration after BPA-fructose complex infusion in patients during epithermal neutron irradiation in BNCT

Cited by 35 publications

References 19 publications

Boron Neutron Capture Therapy in the Treatment of Locally Recurred Head-and-Neck Cancer: Final Analysis of a Phase I/II Trial

Boron Neutron Capture Therapy in the Treatment of Locally Recurred Head-and-Neck Cancer: Final Analysis of a Phase I/II Trial

Kohonen classification applying ‘missing variables’ criterion to evaluate the p‐boronophenylalanine human‐body‐concentration decreasing profile of boron neutron capture therapy patients

Novel Pharmacological and Magnetic Resonance Strategies to Enhance Boron Neutron Capture Therapy (BNCT) Efficacy in the Clinical Treatment of Malignant Glioma

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