Proof-of-concept of DosiTest: A virtual multicentric clinical trial for assessing uncertainties in molecular radiotherapy dosimetry. (May 2022)

• Record Type: Journal Article
• Authors: Kayal, G.; Clayton, N.; Vergara-Gil, A.; Struelens, L.; Bardiès, M.
• Is Part Of: Physica medica. Volume 97(2022)
• Page Start: 25
• Page End: 35
• Publication Date: 2022-05
• Subjects: SPECT/CT imaging -- GATE Monte Carlo simulation -- Clinical dosimetry -- DosiTest; Medical physics -- Periodicals; Biophysics -- Periodicals; Biophysics -- Periodicals; Imagerie médicale -- Périodiques; Radiothérapie -- Périodiques; Rayons X -- Sécurité -- Mesures -- Périodiques; Physique -- Périodiques; Médecine -- Périodiques; 610.153
• DOI: 10.1016/j.ejmp.2022.03.011
• Languages: English
• ISSNs: 1120-1797

Abstract

Highlights: Feasibility of setting up a 'virtual' multicentric clinical dosimetry trial. Generating reference dosimetry based on GATE Monte Carlo simulation. Generating centre-specific simulated patient SPECT/CT datasets with GATE. Comparison of reference dosimetry against the image (simulated)-based dosimetry. Abstract: Clinical dosimetry in molecular radiotherapy (MRT) is a multi-step procedure, prone to uncertainties at every stage of the dosimetric workflow. These are difficult to assess, especially as some are complex or even impossible to measure experimentally. The DosiTest project was initiated to assess the variability associated with clinical dosimetry, by setting up a 'virtual' multicentric clinical dosimetry trial based on Monte Carlo (MC) modelling . A reference patient model with a realistic geometry and activity input for a specific tracer is considered. Reference absorbed dose rate distribution maps are generated at various time-points from MC modelling, combining precise information on density and activity distributions (voxel wise). Then, centre-specific calibration and patient SPECT/CT datasets are modelled, on which the clinical centres can perform clinical (i.e. image-based) dosimetry. The results of this dosimetric analysis can be benchmarked against the reference dosimetry to assess the variability induced by implementing different clinical dosimetry approaches. The feasibility of DosiTest is presented here for a clinical situation of therapeutic administration of 177 Lu-DOTATATE ( Lutathera ®) peptide receptor radionuclide therapy (PRRT). From a real patient dataset composed of 5 SPECT/CT images and associated calibrations, we generated the reference absorbed dose rate images with GATE. Then, simulated SPECT/CT image generation based on GATE was performed, both for a calibration phantom and virtual patient images. Based on this simulated dataset, image-based dosimetry could be performed, and compared with reference dosimetry. The good agreement, between real and simulated images, and between reference and image-based dosimetry established the proof of concept of DosiTest.