scholarly journals Theoretical aspects on the use of single-time-point dosimetry for radionuclide therapy

Author(s):  
Johan Gustafsson ◽  
Jan Taprogge

Abstract Objective: This study considers the error distributions for time-integrated activity (TIA) of single-time-point (STP) methods for patient-specific dosimetry in radionuclide therapy. Approach: The general case with the same pharmaceutical labelled with different radionuclides for imaging and therapy are considered for a mono-exponential time-activity curve. Two methods for STP dosimetry, both based on the combination of one activity estimate with the population-mean effective decay constant, are investigated. The cumulative distribution functions (CDFs) and the probability density functions for the two methods are analytically derived for arbitrary distributions of the biological decay constant. The CDFs are used for determining 95 % coverage intervals of the relative errors for different combinations of imaging time points, physical decay constants, and relative standard deviations of the biological decay constant. Two examples, in the form of kidney dosimetry in [177Lu]Lu-DOTA-TATE therapy and tumour dosimetry for Na[131I]I therapy for thyroid cancer with dosimetry based on imaging of Na[124I]I, are also studied in more detail with analysis of the sensitivity with respect to errors in the mean biological decay constant and to higher moments of the distribution. Main results: The distributions of the relative errors are negatively skewed, potentially leading to the situation that some TIA estimates are highly underestimated even if the majority of estimates are close to the true value. Significance: The main limitation of the studied STP dosimetry methods is thereby the risk of large underestimations of the TIA.

2016 ◽  
Vol 37 (3) ◽  
pp. 362-368 ◽  
Author(s):  
Sergio Maimone ◽  
Gaia Caccamo ◽  
Giovanni Squadrito ◽  
Angela Alibrandi ◽  
Francesca Saffioti ◽  
...  

2019 ◽  
Vol 46 (6) ◽  
pp. 2776-2779
Author(s):  
Ernesto Amato ◽  
Alfredo Campennì ◽  
Rosaria M. Ruggeri ◽  
Lucrezia Auditore ◽  
Sergio Baldari

e-Neuroforum ◽  
2016 ◽  
Vol 22 (3) ◽  
Author(s):  
Simon Rumpel ◽  
Jochen Triesch

AbstractWhen trying to gain intuitions about the computations implemented in neural circuits, we often use comparisons with electronic circuits. However, one fundamental difference to hard-wired electronic circuits is that the structure of neural circuits undergoes constant remodeling. Here, we discuss recent findings highlighting the dynamic nature of neural circuits and the underlying mechanisms. The dynamics of neural circuits follows rules that explain steady state statistics of synaptic properties observed at a single time point. Interestingly, these rules allow the prediction of future network states and extend the insights gained from serial sectioning electron microscopy of brain samples, which inherently provides information from only a single time point. We argue how the connectome’s dynamic nature can be reconciled with stable functioning and long-termmemory storage and how it may even benefit learning.


2020 ◽  
pp. jnumed.120.254656
Author(s):  
Xinchi Hou ◽  
Julia Brosch ◽  
Carlos Uribe ◽  
Alessandro Desy ◽  
Guido Boning ◽  
...  

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