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Lu-177-PSMA dosimetry for kidneys and tumors based on SPECT images at two imaging time points | |
Chen, Gefei1; Lu, Zhonglin1; Jiang, Han1,2; Afshar-Oromieh, Ali3; Rominger, Axel3; Shi, Kuangyu3; Mok, Greta S.P.1,4 | |
2023-11 | |
Source Publication | Frontiers in Medicine |
ISSN | 2296-858X |
Volume | 10Pages:1246881 |
Abstract | Background: Personalized dosimetry for Lu-177-PSMA treatment requires multiple-time-point SPECT/CT scans to calculate time-integrated activity (TIA). This study evaluates two-time-point (TTP) methods for TIA calculation for kidneys and tumors. Methods: A total of 18 patients treated with 3.7-7.4 GBq Lu-177 PSMA-617 were analyzed retrospectively, including 18 sets of left and right kidneys, as well as 45 tumors. Four quantitative SPECT/CT (4TP) were acquired at 2 h, 20 h, 40 h, 60 h (n = 11), or 200 h (n = 7) after treatment, and they were fit bi-exponentially as reference. The TTP method was fitted by a mono-exponential washout function using two selected imaging time points for kidneys. For tumors, one uptake and one washout phase were modeled, assuming linear (type I) and same (type II) uptake phase between 0 h to the first time point and mono-exponential washout thereafter. Two single-time-point (STP) methods were also implemented for comparison. TIA calculated by TTP and STP methods were compared with reference to the 4TP TIA. Results: For the kidneys, the TTP methods using 20 h-60 h and 40 h-200 h had smaller mean absolute errors of 8.05 ± 6.05% and 4.95 ± 3.98%, respectively, as compared to other combinations of time points and STP methods. For tumors, the type I and type II TTP methods using 20h−60 h and 40–200 h had smaller mean absolute errors of 6.14 ± 5.19% and 12.22 ± 4.44%, and 8.31 ± 7.16% and 4.48 ± 7.10%, respectively, as compared to other TTP and STP methods. Conclusion: The TTP methods based on later imaging time demonstrated fewer errors than the STP methods in kidney and tumor TIA. Imaging at 20 h−60 h and 40 h−200 h could simplify the dosimetry procedures with fewer TIA estimation errors. |
Keyword | Curve Fitting Dosimetry Lu-177 Psma Single Time Point Spect |
DOI | 10.3389/fmed.2023.1246881 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | General & Internal Medicine |
WOS Subject | Medicine, General & Internal |
WOS ID | WOS:001107237300001 |
Publisher | FRONTIERS MEDIA SA, AVENUE DU TRIBUNAL FEDERAL 34, LAUSANNE CH-1015, SWITZERLAND |
Scopus ID | 2-s2.0-85177879760 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Health Sciences Faculty of Science and Technology DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING Ministry of Education Frontiers Science Center for Precision Oncology, University of Macau |
Corresponding Author | Shi, Kuangyu; Mok, Greta S.P. |
Affiliation | 1.Biomedical Imaging Laboratory (BIG), Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macao 2.PET-CT Center, Fujian Medical University Union Hospital, Fuzhou, Fujian, China 3.Department of Nuclear Medicine, Bern University Hospital, University of Bern, Bern, Switzerland 4.Ministry of Education Frontiers Science Center for Precision Oncology, University of Macau, Taipa, SAR, Macao |
First Author Affilication | Faculty of Science and Technology |
Corresponding Author Affilication | Faculty of Science and Technology; University of Macau |
Recommended Citation GB/T 7714 | Chen, Gefei,Lu, Zhonglin,Jiang, Han,et al. Lu-177-PSMA dosimetry for kidneys and tumors based on SPECT images at two imaging time points[J]. Frontiers in Medicine, 2023, 10, 1246881. |
APA | Chen, Gefei., Lu, Zhonglin., Jiang, Han., Afshar-Oromieh, Ali., Rominger, Axel., Shi, Kuangyu., & Mok, Greta S.P. (2023). Lu-177-PSMA dosimetry for kidneys and tumors based on SPECT images at two imaging time points. Frontiers in Medicine, 10, 1246881. |
MLA | Chen, Gefei,et al."Lu-177-PSMA dosimetry for kidneys and tumors based on SPECT images at two imaging time points".Frontiers in Medicine 10(2023):1246881. |
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