Technical note: Impact of dose voxel kernel (DVK) values on dosimetry estimates in 177Lu and 90Y radiopharmaceutical therapy (RPT) applications

Author:

Danieli Rachele123,Pistone Daniele456,Tranel Jonathan7,Botta Francesca8,Uribe‐Munoz Carlos910,Raspanti Davide11,Salvat Francesc12,Wilderman Scott J13,Bardiès Manuel1415,Amato Ernesto4516,Dewaraja Yuni K17,Cremonesi Marta18

Affiliation:

1. Department of Medical Physics Université libre de Bruxelles (ULB) Hôpital Universitaire de Bruxelles (H.U.B) Institut Jules Bordet Brussels Belgium

2. Université Libre De Bruxelles (ULB) Radiophysics and MRI Physics Laboratory Brussels Belgium

3. Department of Nuclear Medicine Université libre de Bruxelles (ULB)Hôpital Universitaire de Bruxelles (H.U.B) Institut Jules Bordet Brussels Belgium

4. Department of Biomedical and Dental Sciences and of Morphologic and Functional Imaging (BIOMORF) University of Messina Messina Italy

5. National Institute for Nuclear Physics (INFN) section of Catania Catania Italy

6. Dipartimento di Matematica e Fisica Università degli Studi della Campania “Luigi Vanvitelli” Caserta Italy

7. Department of Radiology and Biomedical Imaging University of California San Francisco San Francisco California USA

8. Medical Physics Unit Instituto Europeo di Oncologia IRCCS Milan Italy

9. Department of Radiology University of British Columbia Vancouver British Columbia Canada

10. Functional Imaging BC Cancer Vancouver British Columbia Canada

11. Temasinergie S.p.A., Via Marcello Malpighi 120 Faenza Italy

12. Facultat de Física (FQA and ICC) Universitat de Barcelona, Diagonal 645 Barcelona Catalonia Spain

13. Department of Nuclear Engineering and Radiological Sciences University of Michigan Ann Arbor Michigan USA

14. Département de Médecine Nucléaire Institut Régional du Cancer de Montpellier (ICM) Montpellier France

15. IRCM, UMR 1194 INSERM Université de Montpellier and Institut Régional du Cancer de Montpellier (ICM) Montpellier France

16. Health Physics Unit University Hospital “Gaetano Martino,” Messina Italy

17. Department of Radiology University of Michigan Ann Arbor Michigan USA

18. Radiation Research Unit, Instituto Europeo di Oncologia IRCCS Via Giuseppe Ripamonti 435 Milano Italy

Abstract

AbstractBackgroundRadiopharmaceutical therapy (RPT) is an increasingly adopted modality for treating cancer. There is evidence that the optimization of the treatment based on dosimetry can improve outcomes. However, standardization of the clinical dosimetry workflow still represents a major effort. Among the many sources of variability, the impact of using different Dose Voxel Kernels (DVKs) to generate absorbed dose (AD) maps by convolution with the time‐integrated activity (TIA) distribution has not been systematically investigated.PurposeThis study aims to compare DVKs and assess the differences in the ADs when convolving the same TIA map with different DVKs.MethodsDVKs of 3 × 3 × 3 mm3 sampling—nine for 177Lu, nine for 90Y—were selected from those most used in commercial/free software or presented in prior publications. For each voxel within a 11 × 11 × 11 matrix, the coefficient of variation (CoV) and the percentage difference between maximum and minimum values (% maximum difference) were calculated. The total absorbed dose per decay (SUM), calculated as the sum of all the voxel values in each kernel, was also compared. Publicly available quantitative SPECT images for two patients treated with 177Lu‐DOTATATE and PET images for two patients treated with 90Y‐microspheres were used, including organs at risk (177Lu: kidneys; 90Y: liver and healthy liver) and tumors’ segmentations. For each patient, the mean AD to the volumes of interest (VOIs) was calculated using the different DVKs, the same TIA map and the same software tool for dose convolution, thereby focusing on the DVK impact. For each VOI, the % maximum difference of the mean AD between maximum and minimum values was computed.ResultsThe CoV (% maximum difference) in voxels of normalized coordinates [0,0,0], [0,1,0], and [0,1,1] were 5%(21%), 9%(35%), and 10%(46%) for the 177Lu DVKs. For the case of 90Y, these values were 2%(9%), 4%(14%), and 4%(16%). The CoV (% maximum difference) for SUM was 9%(33%) for 177Lu, and 4%(15%) for 90Y. The variability of the mean tumor and organ AD was up to 19% and 15% in 177Lu‐DOTATATE and 90Y‐microspheres patients, respectively.ConclusionsThis study showed a considerable AD variability due exclusively to the use of different DVKs. A concerted effort by the scientific community would contribute to decrease these discrepancies, strengthening the consistency of AD calculation in RPT.

Publisher

Wiley

Subject

General Medicine

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