2018
DOI: 10.1016/j.ejmp.2018.09.073
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60 Comparison of organ-based absorbed doses estimations by using PLANET®Dose and OLINDA/EXM V2.0 in patients with peptide receptor radionuclide therapy (PRRT) treated with Lutathera®

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“…Times needed for clinical dosimetry may vary depending on the experience of the personnel of the specific centre [44][45][46][47][48][49][50][51][52] may reduce the time required for dosimetry, but only with a wider use of such tools could the potential time saving be estimated. Additionally, in short term, the time dedicated to organ delineation is expected to decrease significantly thanks to automatic delineation using Artificial Intelligence, as preliminary results have shown [53].…”
Section: Resource Implications Of Implementation Of Mrt Dosimetrymentioning
confidence: 99%
“…Times needed for clinical dosimetry may vary depending on the experience of the personnel of the specific centre [44][45][46][47][48][49][50][51][52] may reduce the time required for dosimetry, but only with a wider use of such tools could the potential time saving be estimated. Additionally, in short term, the time dedicated to organ delineation is expected to decrease significantly thanks to automatic delineation using Artificial Intelligence, as preliminary results have shown [53].…”
Section: Resource Implications Of Implementation Of Mrt Dosimetrymentioning
confidence: 99%
“…There are many choices involved in a dosimetry calculation, from the techniques used to define volumes of interest, to the fitting of time activity curves and choice of dose S-factors or kernels, where each choice will affect the outcome. Dosimetry comparison exercises of different systems based on patient data highlight relative differences, but are weakened by the fact that when using patient data, the inherent ground truth is unknown [1] , [2] . A recent overview of commercial treatment planning systems (TPS) for MRT recognized the need to assess uncertainty in the dosimetric process and noted that the impact on TPS results still needs to be assessed [3] .…”
Section: Introductionmentioning
confidence: 99%