WIDMApp, an innovative approach for individual dose monitoring in Molecular Radiotherapy
Carlo Mancini Terracciano,
Italy
PO-1578
Abstract
WIDMApp, an innovative approach for individual dose monitoring in Molecular Radiotherapy
Authors: Carlo Mancini Terracciano1, Francesco Collamati2, Riccardo Faccini1, Giuseppe Iaccarino3, Riccardo Mirabelli1, Francesca Nicolanti1, Massimiliano Pacilio4, Antonella Soriani5, Lorenzo Campana6, Elena Solfaroli Camillocci7
1Sapienza, University of Rome, Physics, Rome, Italy; 2INFN, Roma, Rome, Italy; 3IRCCS Regina Elena National Cancer Institute, Laboratory of Medical Physics and Expert Systems, Rome, Italy; 4Azienda Ospedaliera-Universitaria Policlinico Umberto I, Medical Physics Division, Rome, Italy; 5IRCCS Regina Elena National Cancer Institute, Laboratory of Medical Physics and Expert System, Rome, Italy; 6Sapienza University of Rome, Specialty School of Medical Physics, Rome, Italy; 7Sapienza, University of Rome, Specialty School of Medical Physics, Rome, Italy
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Purpose or Objective
We will present the proof-of-concept of WIDMApp (Wearable Individual Dose Monitoring Apparatus), a multi-channel detector and data processing system, aimed at allowing an accurate determination of absorbed dose per organ in Molecular Radiotherapy (MRT).
The precise estimation of dose absorbed by the target and healthy organs is essential to increase therapeutic effectiveness, optimize the treatment planning and establish dose-effect relationships for tumor and normal tissues.
Material and Methods
To perform the feasibility study, we used the NEMA phantom filling three of the available spheres with different isotopes to simulate different biological washout from three organs. Three detectors where faced to the phantom to acquire three Time dependent Counts Curves (TCC). We developed a Monte Carlo simulation of the setup, importing the NEMA geometry with a TAC, as we would do with a patient, to compute the probability matrix of each of the three emitting sources. The WIDMApp data analysis tool is then applied on this data set to perform the deconvolution of the TCC and to reconstruct the Time-Activity Curves (TAC) of each organ.
Results
The study demonstrates that it is possible, at least in the simple scenario, to infer the organ cumulated activity by measuring the TCC recorded by few detectors placed in selected position over the patient body
Conclusion
Despite the relative simplicity of the geometry used in the current study, the method proposed and described appears fairly robust and flexible. It thus merits further development.