2016
DOI: 10.1089/cbr.2016.2117
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Evaluating the Application of Tissue-Specific Dose Kernels Instead of Water Dose Kernels in Internal Dosimetry: A Monte Carlo Study

Abstract: A novel technique is proposed considering tissue-specific dose kernels in the dose calculation algorithm. This algorithm potentially enables patient-specific dosimetry and improves estimation of the average absorbed dose of Y in a tumor located in lung, bone, and soft tissue interface by 6.98% compared with the conventional methods.

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Cited by 20 publications
(16 citation statements)
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“…We thus classify our approach as small-scale (sub-organ and cellular level) rather than a true stochastic microdosimetric method, using the titular convention 21 . Use of the DPK kernel allows for extension of this method to other radionuclides 38 or non-water-like tissues such as bone and lungs 39 by generating a new kernel. The authors are currently conducting studies of therapeutically conjugated 225 Ac and 227 Th in a murine model with these methods.…”
Section: Discussionmentioning
confidence: 99%
“…We thus classify our approach as small-scale (sub-organ and cellular level) rather than a true stochastic microdosimetric method, using the titular convention 21 . Use of the DPK kernel allows for extension of this method to other radionuclides 38 or non-water-like tissues such as bone and lungs 39 by generating a new kernel. The authors are currently conducting studies of therapeutically conjugated 225 Ac and 227 Th in a murine model with these methods.…”
Section: Discussionmentioning
confidence: 99%
“…Density scaling approaches were also applied by Götz et al (2019) in applications to 177 Lu VSVs (termed dose voxel kernels in this study) within tissue heterogeneities. In the study by Moghadam et al (2016), VSVs were computed by MC radiation transport simulation for 90 Y, 177 Lu, and 32 P in 9 different tissues—bone, lung, adipose, breast, heart, intestine, kidney, liver, and spleen—along with S -coefficient scaling factors to account for dose reductions and/or enhancement at tissue interfaces.…”
Section: Calculation Of Absorbed Dosementioning
confidence: 99%
“…The Monte Carlo method is one of the most accurate methods for internal dosimetry calculations, but is time-consuming [10]. On the other hand, analytical methods provide dose estimation in a shorter amount of time, but they are typically restricted to a constant shape and size of the dose calculation medium and radiation source spectra [11,12]. In analytical methods such as those proposed by MIRD (Committee on Medical Internal Radiation Dose), data from SPECT or PET images are used to obtain an approximate estimate of the mean absorbed dose to tumors, which may be far from the actual values [13].…”
Section: Introductionmentioning
confidence: 99%