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Schürrle SB, Eberlein U, Ansquer C, Beauregard JM, Durand-Gasselin L, Grønbæk H, Haug A, Hicks RJ, Lenzo NP, Navalkissoor S, Nicolas GP, Pais B, Volteau M, Wild D, McEwan A, Lassmann M. Dosimetry and pharmacokinetics of [ 177Lu]Lu-satoreotide tetraxetan in patients with progressive neuroendocrine tumours. Eur J Nucl Med Mol Imaging 2024; 51:2428-2441. [PMID: 38528164 PMCID: PMC11178655 DOI: 10.1007/s00259-024-06682-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 03/08/2024] [Indexed: 03/27/2024]
Abstract
PURPOSE To evaluate the dosimetry and pharmacokinetics of the novel radiolabelled somatostatin receptor antagonist [177Lu]Lu-satoreotide tetraxetan in patients with advanced neuroendocrine tumours (NETs). METHODS This study was part of a phase I/II trial of [177Lu]Lu-satoreotide tetraxetan, administered at a median cumulative activity of 13.0 GBq over three planned cycles (median activity/cycle: 4.5 GBq), in 40 patients with progressive NETs. Organ absorbed doses were monitored at each cycle using patient-specific dosimetry; the cumulative absorbed-dose limits were set at 23.0 Gy for the kidneys and 1.5 Gy for bone marrow. Absorbed dose coefficients (ADCs) were calculated using both patient-specific and model-based dosimetry for some patients. RESULTS In all evaluated organs, maximum [177Lu]Lu-satoreotide tetraxetan uptake was observed at the first imaging timepoint (4 h after injection), followed by an exponential decrease. Kidneys were the main route of elimination, with a cumulative excretion of 57-66% within 48 h following the first treatment cycle. At the first treatment cycle, [177Lu]Lu-satoreotide tetraxetan showed a median terminal blood half-life of 127 h and median ADCs of [177Lu]Lu-satoreotide tetraxetan were 5.0 Gy/GBq in tumours, 0.1 Gy/GBq in the bone marrow, 0.9 Gy/GBq in kidneys, 0.2 Gy/GBq in the liver and 0.8 Gy/GBq in the spleen. Using image-based dosimetry, the bone marrow and kidneys received median cumulative absorbed doses of 1.1 and 10.8 Gy, respectively, after three cycles. CONCLUSION [177Lu]Lu-satoreotide tetraxetan showed a favourable dosimetry profile, with high and prolonged tumour uptake, supporting its acceptable safety profile and promising efficacy. TRIAL REGISTRATION NCT02592707. Registered October 30, 2015.
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Affiliation(s)
| | - Uta Eberlein
- Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
| | | | | | | | - Henning Grønbæk
- Department of Hepatology & Gastroenterology, ENETS Centre of Excellence, Aarhus University Hospital and Clinical Institute, Aarhus University, Aarhus, Denmark
| | - Alexander Haug
- Department of Radiology and Nuclear Medicine, Medical University of Vienna, Vienna, Austria
| | - Rodney J Hicks
- Department of Medicine, St Vincent's Hospital, The University of Melbourne, Melbourne, VIC, Australia
- Department of Medicine, Central Clinical School, the Alfred Hospital, Monash University, Melbourne, VIC, Australia
| | - Nat P Lenzo
- GenesisCare, East Fremantle, WA, Australia
- Department of Medicine, Curtin University, Perth, WA, Australia
| | - Shaunak Navalkissoor
- Neuroendocrine Tumour Unit, ENETS Centre of Excellence, Royal Free London NHS Foundation Trust, London, UK
| | - Guillaume P Nicolas
- Division of Nuclear Medicine, ENETS Centre of Excellence, University Hospital Basel, Basel, Switzerland
| | - Ben Pais
- SRT-Biomedical B.V, Soest, Netherlands.
- Ariceum Therapeutics GmbH, Berlin, Germany.
| | | | - Damian Wild
- Division of Nuclear Medicine, ENETS Centre of Excellence, University Hospital Basel, Basel, Switzerland
| | | | - Michael Lassmann
- Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
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Morphis M, van Staden JA, du Raan H, Ljungberg M, Sjögreen Gleisner K. Accuracy of patient-specific I-131 dosimetry using hybrid whole-body planar-SPECT/CT I-123 and I-131 imaging. EJNMMI Phys 2024; 11:50. [PMID: 38898326 PMCID: PMC11187057 DOI: 10.1186/s40658-024-00657-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 06/07/2024] [Indexed: 06/21/2024] Open
Abstract
PURPOSE This study aimed to assess the accuracy of patient-specific absorbed dose calculations for tumours and organs at risk in radiopharmaceutical therapy planning, utilizing hybrid planar-SPECT/CT imaging. METHODS Three Monte Carlo (MC) simulated digital patient phantoms were created, with time-activity data for mIBG labelled to I-123 (LEHR and ME collimators) and I-131 (HE collimator). The study assessed the accuracy of the mean absorbed doses for I-131-mIBG therapy treatment planning. Multiple planar whole-body (WB) images were simulated (between 1 to 72 h post-injection (p.i)). The geometric-mean image of the anterior and posterior WB images was calculated, with scatter and attenuation corrections applied. Time-activity curves were created for regions of interest over the liver and two tumours (diameters: 3.0 cm and 5.0 cm) in the WB images. A corresponding SPECT study was simulated at 24 h p.i and reconstructed using the OS-EM algorithm, incorporating scatter, attenuation, collimator-detector response, septal scatter and penetration corrections. MC voxel-based absorbed dose rate calculations used two image sets, (i) the activity distribution represented by the SPECT images and (ii) the activity distribution from the SPECT images distributed uniformly within the volume of interest. Mean absorbed doses were calculated considering photon and charged particle emissions, and beta emissions only. True absorbed doses were calculated by MC voxel-based dosimetry of the known activity distributions for reference. RESULTS Considering photon and charged particle emissions, mean absorbed dose accuracies across all three radionuclide-collimator combinations of 3.8 ± 5.5% and 0.1 ± 0.9% (liver), 5.2 ± 10.0% and 4.3 ± 1.7% (3.0 cm tumour) and 15.0 ± 5.8% and 2.6 ± 0.6% (5.0 cm tumour) were obtained for image set (i) and (ii) respectively. Considering charged particle emissions, accuracies of 2.7 ± 4.1% and 5.7 ± 0.7% (liver), 3.2 ± 10.2% and 9.1 ± 1.7% (3.0 cm tumour) and 13.6 ± 5.7% and 7.0 ± 0.6% (5.0 cm tumour) were obtained for image set (i) and (ii) respectively. CONCLUSION The hybrid WB planar-SPECT/CT method proved accurate for I-131-mIBG dosimetry, suggesting its potential for personalized treatment planning.
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Affiliation(s)
- Michaella Morphis
- Department of Medical Physics, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa.
| | - Johan A van Staden
- Department of Medical Physics, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa
| | - Hanlie du Raan
- Department of Medical Physics, Faculty of Health Sciences, University of the Free State, Bloemfontein, South Africa
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George SC, Tolakanahalli R, Aguirre S, Kim TP, Samuel EJJ, Mishra V. A single-institution experience with 177Lu RPT workflow improvements and qualifying the SPECT/CT imaging for dosimetry. Front Oncol 2024; 14:1331266. [PMID: 38469241 PMCID: PMC10925616 DOI: 10.3389/fonc.2024.1331266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 01/22/2024] [Indexed: 03/13/2024] Open
Abstract
Background and purpose Implementing any radiopharmaceutical therapy (RPT) program requires a comprehensive review of system readiness, appropriate workflows, and training to ensure safe and efficient treatment delivery. A quantitative assessment of the dose delivered to targets and organs at risk (OAR) using RPT is possible by correlating the absorbed doses with the delivered radioactivity. Integrating dosimetry into an established RPT program demands a thorough analysis of the necessary components and system fine-tuning. This study aims to report an optimized workflow for molecular radiation therapy using 177Lu with a primary focus on integrating patient-specific dosimetry into an established radiopharmaceutical program in a radiation oncology setting. Materials and methods We comprehensively reviewed using the Plan-Do-Check-Act (PDCA) cycle, including efficacy and accuracy of delivery and all aspects of radiation safety of the RPT program. The GE Discovery SPECT/CT 670DR™ system was calibrated per MIM protocol for dose calculation on MIM SurePlan™ MRT software. Jaszcak Phantom with 15-20 mCi of 177Lu DOTATATE with 2.5 µM EDTA solution was used, with the main energy window defined as 208 keV ±10% (187.6 to 229.2 keV); the upper scatter energy window was set to 240 keV ±5% (228 to 252 keV), while the lower scatter energy window was 177.8 keV ±5% (168.9 to 186.7 keV). Volumetric quality control tests and adjustments were performed to ensure the correct alignment of the table, NM, and CT gantry on SPECT/CT. A comprehensive end-to-end (E2E) test was performed to ensure workflow, functionality, and quantitative dose accuracy. Results Workflow improvements and checklists are presented after systematically analyzing over 400 administrations of 177Lu-based RPT. Injected activity to each sphere in the NEMA Phantom scan was quantified, and the MIM Sureplan MRT reconstruction images calculated activities within ±12% of the injected activity. Image alignment tests on the SPECT/CT showed a discrepancy of more than the maximum tolerance of 2.2 mm on any individual axis. As a result of servicing the machine and updating the VQC and COR corrections, the hybrid imaging system was adjusted to achieve an accuracy of <1 mm in all directions. Conclusion Workflows and checklists, after analysis of system readiness and adequate training for staff and patients, are presented. Hardware and software components for patient-specific dosimetry are presented with a focus on hybrid image registration and correcting any errors that affect dosimetric quantification calculation. Moreover, this manuscript briefly overviews the necessary quality assurance requirements for converting diagnostic images into dosimetry measurement tools and integrating dosimetry for RPT based on 177Lu.
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Affiliation(s)
- Siju C. George
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health, Miami, FL, United States
- Department of Physics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India
| | - Ranjini Tolakanahalli
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health, Miami, FL, United States
| | - Santiago Aguirre
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health, Miami, FL, United States
| | - Taehyung Peter Kim
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health, Miami, FL, United States
| | | | - Vivek Mishra
- Department of Radiation Oncology, Miami Cancer Institute, Baptist Health, Miami, FL, United States
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Sedlack AJH, Meyer C, Mench A, Winters C, Barbon D, Obrzut S, Mallak N. Essentials of Theranostics: A Guide for Physicians and Medical Physicists. Radiographics 2024; 44:e230097. [PMID: 38060426 DOI: 10.1148/rg.230097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
Radiopharmaceutical therapies (RPTs) are gaining increased interest with the recent emergence of novel safe and effective theranostic agents, improving outcomes for thousands of patients. The term theranostics refers to the use of diagnostic and therapeutic agents that share the same molecular target; a major step toward precision medicine, especially for oncologic applications. The authors dissect the fundamentals of theranostics in nuclear medicine. First, they explain the radioactive decay schemes and the characteristics of emitted electromagnetic radiation used for imaging, as well as particles used for therapeutic purposes, followed by the interaction of the different types of radiation with tissue. These concepts directly apply to clinical RPTs and play a major role in the efficacy and toxicity profile of different radiopharmaceutical agents. Personalized dosimetry is a powerful tool that can help estimate patient-specific absorbed doses, in tumors as well as normal organs. Dosimetry in RPT is an area of active investigation, as most of what we know about the relationship between delivered dose and tissue damage is extrapolated from external-beam radiation therapy; more research is needed to understand this relationship as it pertains to RPTs. Tumor heterogeneity is increasingly recognized as an important prognostic factor. Novel molecular imaging agents, often in combination with fluorine 18-fluorodeoxyglucose, are crucial for assessment of target expression in the tumor and potential hypermetabolic disease that may lack the molecular target expression. ©RSNA, 2023 Test Your Knowledge questions are available in the supplemental material.
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Affiliation(s)
- Andrew J H Sedlack
- From the Medical Scientist Training Program, Feinberg School of Medicine, Northwestern University, Chicago, Ill (A.J.H.S.); and Department of Diagnostic Radiology, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, L340, Portland, OR 97239-3098 (C.M., A.M., C.W., D.B., S.O., N.M.)
| | - Catherine Meyer
- From the Medical Scientist Training Program, Feinberg School of Medicine, Northwestern University, Chicago, Ill (A.J.H.S.); and Department of Diagnostic Radiology, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, L340, Portland, OR 97239-3098 (C.M., A.M., C.W., D.B., S.O., N.M.)
| | - Anna Mench
- From the Medical Scientist Training Program, Feinberg School of Medicine, Northwestern University, Chicago, Ill (A.J.H.S.); and Department of Diagnostic Radiology, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, L340, Portland, OR 97239-3098 (C.M., A.M., C.W., D.B., S.O., N.M.)
| | - Celeste Winters
- From the Medical Scientist Training Program, Feinberg School of Medicine, Northwestern University, Chicago, Ill (A.J.H.S.); and Department of Diagnostic Radiology, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, L340, Portland, OR 97239-3098 (C.M., A.M., C.W., D.B., S.O., N.M.)
| | - Dennis Barbon
- From the Medical Scientist Training Program, Feinberg School of Medicine, Northwestern University, Chicago, Ill (A.J.H.S.); and Department of Diagnostic Radiology, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, L340, Portland, OR 97239-3098 (C.M., A.M., C.W., D.B., S.O., N.M.)
| | - Sebastian Obrzut
- From the Medical Scientist Training Program, Feinberg School of Medicine, Northwestern University, Chicago, Ill (A.J.H.S.); and Department of Diagnostic Radiology, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, L340, Portland, OR 97239-3098 (C.M., A.M., C.W., D.B., S.O., N.M.)
| | - Nadine Mallak
- From the Medical Scientist Training Program, Feinberg School of Medicine, Northwestern University, Chicago, Ill (A.J.H.S.); and Department of Diagnostic Radiology, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd, L340, Portland, OR 97239-3098 (C.M., A.M., C.W., D.B., S.O., N.M.)
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Akhavanallaf A, Peterson AB, Fitzpatrick K, Roseland M, Wong KK, El-Naqa I, Zaidi H, Dewaraja YK. The predictive value of pretherapy [ 68Ga]Ga-DOTA-TATE PET and biomarkers in [ 177Lu]Lu-PRRT tumor dosimetry. Eur J Nucl Med Mol Imaging 2023; 50:2984-2996. [PMID: 37171633 PMCID: PMC10981963 DOI: 10.1007/s00259-023-06252-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 04/24/2023] [Indexed: 05/13/2023]
Abstract
PURPOSE Metastatic neuroendocrine tumors (NETs) overexpressing type 2 somatostatin receptors are the target for peptide receptor radionuclide therapy (PRRT) through the theragnostic pair of 68Ga/177Lu-DOTATATE. The main purpose of this study was to develop machine learning models to predict therapeutic tumor dose using pre therapy 68Ga -PET and clinicopathological biomarkers. METHODS We retrospectively analyzed 90 segmented metastatic NETs from 25 patients (M14/F11, age 63.7 ± 9.5, range 38-76) treated by 177Lu-DOTATATE at our institute. Patients underwent both pretherapy [68Ga]Ga-DOTA-TATE PET/CT and four timepoints SPECT/CT at ~ 4, 24, 96, and 168 h post-177Lu-DOTATATE infusion. Tumors were segmented by a radiologist on baseline CT or MRI and transferred to co-registered PET/CT and SPECT/CT, and normal organs were segmented by deep learning-based method on CT of the PET and SPECT. The SUV metrics and tumor-to-normal tissue SUV ratios (SUV_TNRs) were calculated from 68Ga -PET at the contour-level. Posttherapy dosimetry was performed based on the co-registration of SPECT/CTs to generate time-integrated-activity, followed by an in-house Monte Carlo-based absorbed dose estimation. The correlation between delivered 177Lu Tumor absorbed dose and PET-derived metrics along with baseline clinicopathological biomarkers (such as Creatinine, Chromogranin A and prior therapies) were evaluated. Multiple interpretable machine-learning algorithms were developed to predict tumor dose using these pretherapy information. Model performance on a nested tenfold cross-validation was evaluated in terms of coefficient of determination (R2), mean-absolute-error (MAE), and mean-relative-absolute-error (MRAE). RESULTS SUVmean showed a significant correlation (q-value < 0.05) with absorbed dose (Spearman ρ = 0.64), followed by TLSUVmean (SUVmean of total-lesion-burden) and SUVpeak (ρ = 0.45 and 0.41, respectively). The predictive value of PET-SUVmean in estimation of posttherapy absorbed dose was stronger compared to PET-SUVpeak, and SUV_TNRs in terms of univariate analysis (R2 = 0.28 vs. R2 ≤ 0.12). An optimal trivariate random forest model composed of SUVmean, TLSUVmean, and total liver SUVmean (normal and tumoral liver) provided the best performance in tumor dose prediction with R2 = 0.64, MAE = 0.73 Gy/GBq, and MRAE = 0.2. CONCLUSION Our preliminary results demonstrate the feasibility of using baseline PET images for prediction of absorbed dose prior to 177Lu-PRRT. Machine learning models combining multiple PET-based metrics performed better than using a single SUV value and using other investigated clinicopathological biomarkers. Developing such quantitative models forms the groundwork for the role of 68Ga -PET not only for the implementation of personalized treatment planning but also for patient stratification in the era of precision medicine.
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Affiliation(s)
- Azadeh Akhavanallaf
- Department of Radiology, University of Michigan, 1301 Catherine, 2276 Medical Science I/5610, Ann Arbor, MI, 48109, USA.
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland.
| | - Avery B Peterson
- Department of Radiology, University of Michigan, 1301 Catherine, 2276 Medical Science I/5610, Ann Arbor, MI, 48109, USA
| | - Kellen Fitzpatrick
- Department of Radiology, University of Michigan, 1301 Catherine, 2276 Medical Science I/5610, Ann Arbor, MI, 48109, USA
| | - Molly Roseland
- Department of Radiology, University of Michigan, 1301 Catherine, 2276 Medical Science I/5610, Ann Arbor, MI, 48109, USA
| | - Ka Kit Wong
- Department of Radiology, University of Michigan, 1301 Catherine, 2276 Medical Science I/5610, Ann Arbor, MI, 48109, USA
| | - Issam El-Naqa
- Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA
| | - Habib Zaidi
- Division of Nuclear Medicine and Molecular Imaging, Geneva University Hospital, CH-1211, Geneva, Switzerland
- Geneva University Neurocenter, Geneva University, CH-1205, Geneva, Switzerland
- Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, 9700 RB, Groningen, Netherlands
- Department of Nuclear Medicine, University of Southern Denmark, DK-500, Odense, Denmark
| | - Yuni K Dewaraja
- Department of Radiology, University of Michigan, 1301 Catherine, 2276 Medical Science I/5610, Ann Arbor, MI, 48109, USA
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Scott RT, Sanders LM, Antonsen EL, Hastings JJA, Park SM, Mackintosh G, Reynolds RJ, Hoarfrost AL, Sawyer A, Greene CS, Glicksberg BS, Theriot CA, Berrios DC, Miller J, Babdor J, Barker R, Baranzini SE, Beheshti A, Chalk S, Delgado-Aparicio GM, Haendel M, Hamid AA, Heller P, Jamieson D, Jarvis KJ, Kalantari J, Khezeli K, Komarova SV, Komorowski M, Kothiyal P, Mahabal A, Manor U, Garcia Martin H, Mason CE, Matar M, Mias GI, Myers JG, Nelson C, Oribello J, Parsons-Wingerter P, Prabhu RK, Qutub AA, Rask J, Saravia-Butler A, Saria S, Singh NK, Snyder M, Soboczenski F, Soman K, Van Valen D, Venkateswaran K, Warren L, Worthey L, Yang JH, Zitnik M, Costes SV. Biomonitoring and precision health in deep space supported by artificial intelligence. NAT MACH INTELL 2023. [DOI: 10.1038/s42256-023-00617-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2023]
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Kiess AP, Hobbs RF, Bednarz B, Knox SJ, Meredith R, Escorcia FE. ASTRO's Framework for Radiopharmaceutical Therapy Curriculum Development for Trainees. Int J Radiat Oncol Biol Phys 2022; 113:719-726. [PMID: 35367328 DOI: 10.1016/j.ijrobp.2022.03.018] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 03/08/2022] [Accepted: 03/13/2022] [Indexed: 10/18/2022]
Abstract
In 2017, the American Society for Radiation Oncology (ASTRO) board of directors prioritized radiopharmaceutical therapy (RPT) as a leading area for new therapeutic development, and the ASTRO RPT workgroup was created. Herein, the workgroup has developed a framework for RPT curriculum development upon which education leaders can build to integrate this modality into radiation oncology resident education. Through this effort, the workgroup aims to provide a guide to ensure robust training in an emerging therapeutic area within the context of existing radiation oncology training in radiation biology, medical physics, and clinical radiation oncology. The framework first determines the core RPT knowledge required to select patients, prescribe, safely administer, and manage related adverse events. Then, it defines the most important topics for preparing residents for clinical RPT planning and delivery. This framework is designed as a tool to supplement the current training that exists for radiation oncology residents. The final document was approved by the ASTRO board of directors in the fall of 2021.
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Affiliation(s)
- Ana P Kiess
- Department of Radiation Oncology, Johns Hopkins University, Baltimore, Maryland.
| | - Robert F Hobbs
- Department of Radiation Oncology, Johns Hopkins University, Baltimore, Maryland
| | - Bryan Bednarz
- Department of Medical Physics, University of Wisconsin-Madison, Madison, Wisconsin
| | - Susan J Knox
- Department of Radiation Oncology, Stanford University Medical Center, Stanford, California
| | - Ruby Meredith
- Department of Radiation Oncology, Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, Alabama
| | - Freddy E Escorcia
- Molecular Imaging Branch, Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
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Danieli R, Milano A, Gallo S, Veronese I, Lascialfari A, Indovina L, Botta F, Ferrari M, Cicchetti A, Raspanti D, Cremonesi M. Personalized Dosimetry in Targeted Radiation Therapy: A Look to Methods, Tools and Critical Aspects. J Pers Med 2022; 12:205. [PMID: 35207693 PMCID: PMC8874397 DOI: 10.3390/jpm12020205] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/13/2022] [Accepted: 01/14/2022] [Indexed: 12/10/2022] Open
Abstract
Targeted radiation therapy (TRT) is a strategy increasingly adopted for the treatment of different types of cancer. The urge for optimization, as stated by the European Council Directive (2013/59/EURATOM), requires the implementation of a personalized dosimetric approach, similar to what already happens in external beam radiation therapy (EBRT). The purpose of this paper is to provide a thorough introduction to the field of personalized dosimetry in TRT, explaining its rationale in the context of optimization and describing the currently available methodologies. After listing the main therapies currently employed, the clinical workflow for the absorbed dose calculation is described, based on works of the most experienced authors in the literature and recent guidelines. Moreover, the widespread software packages for internal dosimetry are presented and critical aspects discussed. Overall, a selection of the most important and recent articles about this topic is provided.
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Affiliation(s)
- Rachele Danieli
- Dipartimento di Fisica, Università degli Studi di Pavia, Via Bassi 6, 27100 Pavia, Italy;
| | - Alessia Milano
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo F. Vito 1, 00168 Roma, Italy;
- Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Università Cattolica del Sacro Cuore, Largo F. Vito 1, 00168 Roma, Italy
| | - Salvatore Gallo
- Dipartimento di Fisica “Aldo Pontremoli”, Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy; (S.G.); (I.V.)
- INFN Sezione di Milano, Via Celoria 16, 20133 Milano, Italy
| | - Ivan Veronese
- Dipartimento di Fisica “Aldo Pontremoli”, Università degli Studi di Milano, Via Celoria 16, 20133 Milano, Italy; (S.G.); (I.V.)
- INFN Sezione di Milano, Via Celoria 16, 20133 Milano, Italy
| | - Alessandro Lascialfari
- INFN-Pavia Unit, Department of Physics, University of Pavia, Via Bassi 6, 27100 Pavia, Italy;
| | - Luca Indovina
- Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo F. Vito 1, 00168 Roma, Italy;
| | - Francesca Botta
- Medical Physics Unit, European Institute of Oncology IRCCS, Via Giuseppe Ripamonti 435, 20141 Milano, Italy; (F.B.); (M.F.)
| | - Mahila Ferrari
- Medical Physics Unit, European Institute of Oncology IRCCS, Via Giuseppe Ripamonti 435, 20141 Milano, Italy; (F.B.); (M.F.)
| | - Alessandro Cicchetti
- Prostate Cancer Program, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Giacomo Venezian, 1, 20133 Milano, Italy;
| | - Davide Raspanti
- Temasinergie S.p.A., Via Marcello Malpighi 120, 48018 Faenza, Italy;
| | - Marta Cremonesi
- Radiation Research Unit, European Institute of Oncology IRCCS, Via Giuseppe Ripamonti 435, 20141 Milano, Italy;
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Dosimetry in radionuclide therapy: the clinical role of measuring radiation dose. Lancet Oncol 2022; 23:e75-e87. [DOI: 10.1016/s1470-2045(21)00657-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 11/03/2021] [Accepted: 11/05/2021] [Indexed: 12/22/2022]
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Compensating Positron Range Effects of Ga-68 in Preclinical PET Imaging by Using Convolutional Neural Network: A Monte Carlo Simulation Study. Diagnostics (Basel) 2021; 11:diagnostics11122275. [PMID: 34943511 PMCID: PMC8700176 DOI: 10.3390/diagnostics11122275] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/11/2021] [Accepted: 12/01/2021] [Indexed: 11/17/2022] Open
Abstract
This study aimed to investigate the feasibility of positron range correction based on three different convolutional neural network (CNN) models in preclinical PET imaging of Ga-68. The first model (CNN1) was originally designed for super-resolution recovery, while the second model (CNN2) and the third model (CNN3) were originally designed for pseudo CT synthesis from MRI. A preclinical PET scanner and 30 phantom configurations were modeled in Monte Carlo simulations, where each phantom configuration was simulated twice, once for Ga-68 (CNN input images) and once for back-to-back 511-keV gamma rays (CNN output images) with a 20 min emission scan duration. The Euclidean distance was used as the loss function to minimize the difference between CNN input and output images. According to our results, CNN3 outperformed CNN1 and CNN2 qualitatively and quantitatively. With regard to qualitative observation, it was found that boundaries in Ga-68 images became sharper after correction. As for quantitative analysis, the recovery coefficient (RC) and spill-over ratio (SOR) were increased after correction, while no substantial increase in coefficient of variation of RC (CVRC) or coefficient of variation of SOR (CVSOR) was observed. Overall, CNN3 should be a good candidate architecture for positron range correction in Ga-68 preclinical PET imaging.
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Pandit-Taskar N, Iravani A, Lee D, Jacene H, Pryma D, Hope T, Saboury B, Capala J, Wahl RL. Dosimetry in Clinical Radiopharmaceutical Therapy of Cancer: Practicality Versus Perfection in Current Practice. J Nucl Med 2021; 62:60S-72S. [PMID: 34857623 DOI: 10.2967/jnumed.121.262977] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 10/22/2021] [Indexed: 12/25/2022] Open
Abstract
The use of radiopharmaceutical therapies (RPTs) in the treatment of cancers is growing rapidly, with more agents becoming available for clinical use in last few years and many new RPTs being in development. Dosimetry assessment is critical for personalized RPT, insofar as administered activity should be assessed and optimized in order to maximize tumor-absorbed dose while keeping normal organs within defined safe dosages. However, many current clinical RPTs do not require patient-specific dosimetry based on current Food and Drug Administration-labeled approvals, and overall, dosimetry for RPT in clinical practice and trials is highly varied and underutilized. Several factors impede rigorous use of dosimetry, as compared with the more convenient and less resource-intensive practice of empiric dosing. We review various approaches to applying dosimetry for the assessment of activity in RPT and key clinical trials, the extent of dosimetry use, the relative pros and cons of dosimetry-based versus fixed activity, and practical limiting factors pertaining to current clinical practice.
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Affiliation(s)
| | - Amir Iravani
- Washington University School of Medicine, St. Louis, Missouri
| | - Dan Lee
- Ochsner Medical Center, New Orleans, Louisiana
| | | | - Dan Pryma
- Penn Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Thomas Hope
- University of San Francisco, San Francisco, California; and
| | | | - Jacek Capala
- National Institutes of Health, Bethesda, Maryland
| | - Richard L Wahl
- Washington University School of Medicine, St. Louis, Missouri
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12
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Blakkisrud J, Løndalen A, Dahle J, Martinsen AC, Kolstad A, Stokke C. Myelosuppression in patients treated with 177Lutetium-lilotomab satetraxetan can be predicted with absorbed dose to the red marrow as the only variable. Acta Oncol 2021; 60:1481-1488. [PMID: 34425735 DOI: 10.1080/0284186x.2021.1959635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND The aim of this study was to investigate dosimetry data and clinical variables to predict hematological toxicity in non-Hodgkin lymphoma (NHL) patients treated with [177Lutetium]Lu-lilotomab satetraxetan. MATERIAL AND METHODS A total of 17 patients treated with [177Lu]Lu-lilotomab satetraxetan in a first-in-human phase 1/2a study were included. Absorbed dose to the red marrow was explored using SPECT/CT-imaging of the lumbar vertebrae L2-L4 over multiple time points. Percentage reduction of thrombocytes and neutrophils at nadir compared to baseline (PBN) and time to nadir (TTN) were chosen as indicators of myelosuppression and included as dependent variables. Two models were applied in the analysis, a multivariate linear model and a sigmoidal description of toxicity as a function of absorbed dose. A total of 10 independent patient variables were investigated in the multivariate analysis. RESULTS Absorbed dose to the red marrow ranged from 1 to 4 Gy. Absorbed dose to the red marrow was found to be the only significant variable for PBN for both thrombocytes and neutrophils. The sigmoid function gave similar results in terms of accuracy when compared to the linear model. CONCLUSION Myelosuppression in the form of thrombocytopenia and neutropenia in patients treated with [177Lu]Lu-lilotomab satetraxetan can be predicted from the SPECT/CT-derived absorbed dose estimate to the red marrow.
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Affiliation(s)
- Johan Blakkisrud
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
- Department of Physics, University of Oslo, Oslo, Norway
| | - Ayca Løndalen
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
- Faculty of Medicine, University of Oslo, Oslo, Norway
| | | | - Anne Catrine Martinsen
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
- Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Arne Kolstad
- Department of Oncology, Radiumhospitalet, Oslo University Hospital, Oslo, Norway
| | - Caroline Stokke
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
- Department of Physics, University of Oslo, Oslo, Norway
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13
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Abbott EM, Falzone N, Lenzo N, Vallis KA. Combining External Beam Radiation and Radionuclide Therapies: Rationale, Radiobiology, Results and Roadblocks. Clin Oncol (R Coll Radiol) 2021; 33:735-743. [PMID: 34544640 DOI: 10.1016/j.clon.2021.09.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 08/30/2021] [Accepted: 09/03/2021] [Indexed: 12/29/2022]
Abstract
The emergence of effective radionuclide therapeutics, such as radium-223 dichloride, [177Lu]Lu-DOTA-TATE and [177Lu]Lu-PSMA ligands, over the last 10 years is driving a rapid expansion in molecular radiotherapy (MRT) research. Clinical trials that are underway will help to define optimal dosing protocols and identify groups of patients who are likely to benefit from this form of treatment. Clinical investigations are also being conducted to combine new MRT agents with other anticancer drugs, with particular emphasis on DNA repair inhibitors and immunotherapeutics. In this review, the case is presented for combining MRT with external beam radiotherapy (EBRT). The technical and dosimetric challenges of combining two radiotherapeutic modalities have impeded progress in the past. However, the need for research into the specific radiobiological effects of radionuclide therapy, which has lagged behind that for EBRT, has been recognised. This, together with innovations in imaging technology, MRT dosimetry tools and EBRT hardware, will facilitate the future use of this important combination of treatments.
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Affiliation(s)
- E M Abbott
- MIM Software Inc., Cleveland, Ohio, USA.
| | - N Falzone
- GenesisCare, Alexandria, New South Wales, Australia.
| | - N Lenzo
- GenesisCare Theranostics, St John of God Murdoch Cancer Centre, Murdoch, Western Australia, Australia; Department of Medicine, Notre Dame University Australia, Fremantle, Western Australia, Australia
| | - K A Vallis
- Oxford Institute for Radiation Oncology, University of Oxford, Oxford, UK.
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14
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Population exposure-response model of 131I in patients with benign thyroid disease. Eur J Pharm Sci 2021; 165:105942. [PMID: 34273482 DOI: 10.1016/j.ejps.2021.105942] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 06/01/2021] [Accepted: 06/20/2021] [Indexed: 11/22/2022]
Abstract
PURPOSE The study aimed to explore the relationship of different exposure measures with 131I therapy response in patients with benign thyroid disease, estimate the variability in the response, investigate possible covariates, and discuss dosing implications of the results. METHODS A population exposure-response analysis was performed using nonlinear mixed-effects modelling. Data from 95 adult patients with benign thyroid disease were analysed. Evaluated exposure parameters were: administered radioactivity dose (Aa) [MBq], total absorbed dose (ABD) [Gy], maximum of absorbed dose-rate (MXR) [Gy/h] and biologically effective dose (BED) [Gy]. The response was modelled as ordered categorical data: hyper-, eu- and hypothyroidism. The final model performance was evaluated by a visual predictive check. RESULTS The probability of the outcome following 131I therapy was best described by a proportional-odds model, including the log-linear model of 131I effect and the exponential model of the response-time relationship. All exposure measures were statistically significant with p<0.001, with BED and ABD being statistically better than the other two. Nevertheless, as BED resulted in the lowest AIC value, it was included in the final model. Accordingly, BED value of 289.7 Gy is associated with 80% probability of successful treatment outcome 12 months after 131I application in patients with median thyroid volume (32.28 mL). The target thyroid volume was a statistically significant covariate. The visual predictive check of the final model showed good model performance. CONCLUSION Our results imply that BED formalism could aid in therapy individualisation. The larger thyroid volume is associated with a lower probability of a successful outcome.
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Dotinga M, Vriens D, van Velden F, Heijmen L, Nagarajah J, Hicks R, Kapiteijn E, de Geus-Oei LF. Managing radioiodine refractory thyroid cancer: the role of dosimetry and redifferentiation on subsequent I-131 therapy. THE QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING : OFFICIAL PUBLICATION OF THE ITALIAN ASSOCIATION OF NUCLEAR MEDICINE (AIMN) [AND] THE INTERNATIONAL ASSOCIATION OF RADIOPHARMACOLOGY (IAR), [AND] SECTION OF THE SOCIETY OF RADIOPHARMACEUTICAL CHEMISTRY AND BIOLOGY 2021; 64:250-264. [PMID: 32744039 DOI: 10.23736/s1824-4785.20.03264-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Poor responses to iodine-131 (I-131) therapy can relate to either low iodine uptake and retention in thyroid cancer cells or to increased radioresistance. Both mechanisms are currently termed radioactive iodine (RAI)-refractory (RAI-R) thyroid cancer but the first reflects unsuitability for I-131 therapy that can be evaluated in advance of treatment, whereas the other can only be identified post hoc. Management of both represents a considerable challenge in clinical practice as failure of I-131 therapy, the most effective treatment of metastatic thyroid cancer, is associated with a poor overall prognosis. The development of targeted therapies has shown substantial promise in the treatment of RAI-R thyroid cancer in progressive patients. Recent studies show that selective tyrosine kinase inhibitors (TKIs) targeting B-type rapidly accelerated fibrosarcoma kinase (BRAF) and mitogen-activated protein kinase (MEK) can be used as redifferentiation agents to re-induce RAI uptake, thereby (re)enabling I-131 therapy. The use of dosimetry prior- and post-TKI treatment can assist in quantifying RAI uptake and improve identification of patients that will benefit from I-131 therapy. It also potentially offers the prospect of calculating individualized therapeutic administered activities to enhance efficacy and limit toxicity. In this review, we present an overview of the regulation of RAI uptake and clinically investigated redifferentiation agents, both reimbursed and in experimental setting, that induce renewed RAI uptake. We describe the role of dosimetry in redifferentiation and subsequent I-131 therapy in RAI-R thyroid cancer, explain different dosimetry approaches and discuss limitations and considerations in the field.
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Affiliation(s)
- Maaike Dotinga
- Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands -
| | - Dennis Vriens
- Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Floris van Velden
- Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Linda Heijmen
- Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - James Nagarajah
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands.,Department of Nuclear Medicine, Technical University Munich, Munich, Germany
| | - Rodney Hicks
- Department of Molecular Imaging, Peter MacCallum Cancer Center, Melbourne, VIC, Australia
| | - Ellen Kapiteijn
- Department of Medical Oncology, Leiden University Medical Center, Leiden, the Netherlands
| | - Lioe-Fee de Geus-Oei
- Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.,Biomedical Photonic Imaging Group, University of Twente, Enschede, the Netherlands
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16
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Höllriegl V, Petoussi-Henss N, Hürkamp K, Ocampo Ramos JC, Li WB. Radiopharmacokinetic modelling and radiation dose assessment of 223Ra used for treatment of metastatic castration-resistant prostate cancer. EJNMMI Phys 2021; 8:44. [PMID: 34076794 PMCID: PMC8172819 DOI: 10.1186/s40658-021-00388-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 05/12/2021] [Indexed: 12/09/2022] Open
Abstract
PURPOSE Ra-223 dichloride (223Ra, Xofigo®) is used for treatment of patients suffering from castration-resistant metastatic prostate cancer. The objective of this work was to apply the most recent biokinetic model for radium and its progeny to show their radiopharmacokinetic behaviour. Organ absorbed doses after intravenous injection of 223Ra were estimated and compared to clinical data and data of an earlier modelling study. METHODS The most recent systemic biokinetic model of 223Ra and its progeny, developed by the International Commission on Radiological Protection (ICRP), as well as the ICRP human alimentary tract model were applied for the radiopharmacokinetic modelling of Xofigo® biodistribution in patients after bolus administration. Independent kinetics were assumed for the progeny of 223Ra. The time activity curves for 223Ra were modelled and the time integrated activity coefficients, [Formula: see text] in the source regions for each progeny were determined. For estimating the organ absorbed doses, the Specific Absorbed Fractions (SAF) and dosimetric framework of ICRP were used together with the aforementioned [Formula: see text] values. RESULTS The distribution of 223Ra after injection showed a rapid plasma clearance and a low urinary excretion. Main elimination was via faeces. Bone retention was found to be about 30% at 4 h post-injection. Similar tendencies were observed in clinical trials of other authors. The highest absorbed dose coefficients were found for bone endosteum, liver and red marrow, followed by kidneys and colon. CONCLUSION The biokinetic modelling of 223Ra and its progeny may help to predict their distributions in patients after administration of Xofigo®. The organ dose coefficients of this work showed some variation to the values reported from clinical studies and an earlier compartmental modelling study. The dose to the bone endosteum was found to be lower by a factor of ca. 3 than previously estimated.
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Affiliation(s)
- Vera Höllriegl
- Institute of Radiation Medicine, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Nina Petoussi-Henss
- Institute of Radiation Medicine, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Kerstin Hürkamp
- Institute of Radiation Medicine, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
| | - Juan Camilo Ocampo Ramos
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, 1250 First Avenue, New York, NY, 10065, USA
| | - Wei Bo Li
- Institute of Radiation Medicine, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany.
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17
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Theranostics in Oncology-Thriving, Now More than Ever. Diagnostics (Basel) 2021; 11:diagnostics11050805. [PMID: 33946670 PMCID: PMC8146294 DOI: 10.3390/diagnostics11050805] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 04/27/2021] [Indexed: 11/16/2022] Open
Abstract
Tracing its roots back to the 1940s, theranostics in nuclear oncology has proved successful mainly due to the beneficial effects of image-guided therapeutic concepts for patients afflicted with a variety of different cancers. The majority of these treatments are not only characterized by substantial prolongation of progression-free and overall survival, but are also generally safe, rendering theranostic agents as an attractive treatment option in various clinical scenarios in oncology. In this Special Issue Novel Theranostic Agents, nine original articles from around the globe provide further evidence on the use of the theranostic concept for neuroendocrine neoplasm (NEN), prostate cancer (PC), meningioma, and neuroblastoma. The investigated diagnostic and therapeutic radiotracers target not only established structures, such as somatostatin receptor, prostate-specific membrane antigen or norepinephrine transporter, but also recently emerging targets such as the C-X-C motif chemokine receptor 4. Moreover, the presented original articles also combine the concept of theranostics with in-depth read-out techniques such as radiomics or novel reconstruction algorithms on pretherapeutic scans, e.g., for outcome prediction. Even 80 years after its initial clinical introduction, theranostics in oncology continues to thrive, now more than ever.
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18
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Weber WA, Czernin J, Anderson CJ, Badawi RD, Barthel H, Bengel F, Bodei L, Buvat I, DiCarli M, Graham MM, Grimm J, Herrmann K, Kostakoglu L, Lewis JS, Mankoff DA, Peterson TE, Schelbert H, Schöder H, Siegel BA, Strauss HW. The Future of Nuclear Medicine, Molecular Imaging, and Theranostics. J Nucl Med 2021; 61:263S-272S. [PMID: 33293447 DOI: 10.2967/jnumed.120.254532] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 07/29/2020] [Indexed: 12/20/2022] Open
Affiliation(s)
| | | | | | | | | | - Frank Bengel
- Medizinische Hochschule Hannover, Hannover, Germany
| | - Lisa Bodei
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Irène Buvat
- Institut Curie, Université PSL, Inserm, Orsay, France
| | | | | | - Jan Grimm
- Memorial Sloan Kettering Cancer Center, New York, New York.,Weill Cornell Medical College, New York, New York
| | | | | | - Jason S Lewis
- Memorial Sloan Kettering Cancer Center, New York, New York.,Weill Cornell Medical College, New York, New York
| | | | - Todd E Peterson
- Vanderbilt University Medical Center, Nashville, Tennessee; and
| | | | - Heiko Schöder
- Memorial Sloan Kettering Cancer Center, New York, New York
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19
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Grisanti F, Prieto E, Bastidas JF, Sancho L, Rodrigo P, Beorlegui C, Iñarrairaegui M, Bilbao JI, Sangro B, Rodríguez-Fraile M. 3D voxel-based dosimetry to predict contralateral hypertrophy and an adequate future liver remnant after lobar radioembolization. Eur J Nucl Med Mol Imaging 2021; 48:3048-3057. [PMID: 33674893 DOI: 10.1007/s00259-021-05272-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 02/17/2021] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Volume changes induced by selective internal radiation therapy (SIRT) may increase the possibility of tumor resection in patients with insufficient future liver remnant (FLR). The aim was to identify dosimetric and clinical parameters associated with contralateral hepatic hypertrophy after lobar/extended lobar SIRT with 90Y-resin microspheres. MATERIALS AND METHODS Patients underwent 90Y PET/CT after lobar or extended lobar (right + segment IV) SIRT. 90Y voxel dosimetry was retrospectively performed (PLANET Dose; DOSIsoft SA). Mean absorbed doses to tumoral/non-tumoral-treated volumes (NTL) and dose-volume histograms were extracted. Clinical variables were collected. Patients were stratified by FLR at baseline (T0-FLR): < 30% (would require hypertrophy) and ≥ 30%. Changes in volume of the treated, non-treated liver, and FLR were calculated at < 2 (T1), 2-5 (T2), and 6-12 months (T3) post-SIRT. Univariable and multivariable regression analyses were performed to identify predictors of atrophy, hypertrophy, and increase in FLR. The best cut-off value to predict an increase of FLR to ≥ 40% was defined using ROC analysis. RESULTS Fifty-six patients were studied; most had primary liver tumors (71.4%), 40.4% had cirrhosis, and 39.3% had been previously treated with chemotherapy. FLR in patients with T0-FLR < 30% increased progressively (T0: 25.2%; T1: 32.7%; T2: 38.1%; T3: 44.7%). No dosimetric parameter predicted atrophy. Both NTL-Dmean and NTL-V30 (fraction of NTL exposed to ≥ 30 Gy) were predictive of increase in FLR in patients with T0 FLR < 30%, the latter also in the total cohort of patients. Hypertrophy was not significantly associated with tumor dose or tumor size. When ≥ 49% of NTL received ≥ 30 Gy, FLR increased to ≥ 40% (accuracy: 76.4% in all patients and 80.95% in T0-FLR < 30% patients). CONCLUSION NTL-Dmean and NTL exposed to ≥ 30 Gy (NTL-V30) were most significantly associated with increase in FLR (particularly among patients with T0-FLR < 30%). When half of NTL received ≥ 30 Gy, FLR increased to ≥ 40%, with higher accuracy among patients with T0-FLR < 30%.
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Affiliation(s)
- Fabiana Grisanti
- Department of Nuclear Medicine, Clínica Universidad de Navarra, Pamplona, Spain.
| | - Elena Prieto
- Department of Medical Physics, Clínica Universidad de Navarra, Pamplona, Spain
| | | | - Lidia Sancho
- Department of Nuclear Medicine, Clínica Universidad de Navarra, Madrid, Spain
| | - Pablo Rodrigo
- Department of Nuclear Medicine, Clínica Universidad de Navarra, Pamplona, Spain
| | | | | | | | - Bruno Sangro
- Liver Unit, Clínica Universidad de Navarra-IDISNA and CIBEREHD, Pamplona, Spain
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20
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Santoro L, Pitalot L, Trauchessec D, Mora-Ramirez E, Kotzki PO, Bardiès M, Deshayes E. Clinical implementation of PLANET® Dose for dosimetric assessment after [ 177Lu]Lu-DOTA-TATE: comparison with Dosimetry Toolkit® and OLINDA/EXM® V1.0. EJNMMI Res 2021; 11:1. [PMID: 33394212 PMCID: PMC7782649 DOI: 10.1186/s13550-020-00737-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Accepted: 11/23/2020] [Indexed: 01/03/2023] Open
Abstract
Background The aim of this study was to compare a commercial dosimetry workstation (PLANET® Dose) and the dosimetry approach (GE Dosimetry Toolkit® and OLINDA/EXM® V1.0) currently used in our department for quantification of the absorbed dose (AD) to organs at risk after peptide receptor radionuclide therapy with [177Lu]Lu-DOTA-TATE. Methods An evaluation on phantom was performed to determine the SPECT calibration factor variations over time and to compare the Time Integrated Activity Coefficients (TIACs) obtained with the two approaches. Then, dosimetry was carried out with the two tools in 21 patients with neuroendocrine tumours after the first and second injection of 7.2 ± 0.2 GBq of [177Lu]Lu-DOTA-TATE (40 dosimetry analyses with each software). SPECT/CT images were acquired at 4 h, 24 h, 72 h and 192 h post-injection and were reconstructed using the Xeleris software (General Electric). The liver, spleen and kidneys masses and TIACs were determined using Dosimetry Toolkit® (DTK) and PLANET® Dose. The ADs were calculated using OLINDA/EXM® V1.0 and the Local Deposition Method (LDM) or Dose voxel-Kernel convolution (DK) on PLANET® Dose. Results With the phantom, the 3D calibration factors showed a slight variation (0.8% and 3.3%) over time, and TIACs of 225.19 h and 217.52 h were obtained with DTK and PLANET® Dose, respectively. In patients, the root mean square deviation value was 8.9% for the organ masses, 8.1% for the TIACs, and 9.1% and 7.8% for the ADs calculated with LDM and DK, respectively. The Lin’s concordance correlation coefficient was 0.99 and the Bland–Altman plot analysis estimated that the AD value difference between methods ranged from − 0.75 to 0.49 Gy, from − 0.20 to 0.64 Gy, and from − 0.43 to 1.03 Gy for 95% of the 40 liver, kidneys and spleen dosimetry analyses. The dosimetry method had a minor influence on AD differences compared with the image registration and organ segmentation steps. Conclusions The ADs to organs at risk obtained with the new workstation PLANET® Dose are concordant with those calculated with the currently used software and in agreement with the literature. These results validate the use of PLANET® Dose in clinical routine for patient dosimetry after targeted radiotherapy with [177Lu]Lu-DOTA-TATE.
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Affiliation(s)
- Lore Santoro
- Nuclear Medicine Department, Montpellier Cancer Institute (ICM), Univ. Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex 5, France.
| | - L Pitalot
- Nuclear Medicine Department, Montpellier Cancer Institute (ICM), Univ. Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex 5, France
| | - D Trauchessec
- Nuclear Medicine Department, Montpellier Cancer Institute (ICM), Univ. Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex 5, France
| | - E Mora-Ramirez
- Centre de Recherche en Cancérologie de Toulouse, Toulouse, France.,INSERM, UMR 1037, Toulouse III Paul Sabatier University, Toulouse, France.,University of Costa Rica, Physics School, CICANUM, San José, Costa Rica
| | - P O Kotzki
- Nuclear Medicine Department, Montpellier Cancer Institute (ICM), Univ. Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex 5, France.,Montpellier Cancer Research Institute, UMR 1194, Univ. Montpellier, Montpellier, France
| | - M Bardiès
- Centre de Recherche en Cancérologie de Toulouse, Toulouse, France.,INSERM, UMR 1037, Toulouse III Paul Sabatier University, Toulouse, France
| | - E Deshayes
- Nuclear Medicine Department, Montpellier Cancer Institute (ICM), Univ. Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex 5, France.,Montpellier Cancer Research Institute, UMR 1194, Univ. Montpellier, Montpellier, France
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Affiliation(s)
- John M Buatti
- University of Iowa, Department of Radiation Oncology, Iowa,.
| | - Ana P Kiess
- Johns Hopkins University, Department of Radiation Oncology and Molecular Radiation Sciences, Baltimore, Maryland
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22
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Könik A, O'Donoghue JA, Wahl RL, Graham MM, Van den Abbeele AD. Theranostics: The Role of Quantitative Nuclear Medicine Imaging. Semin Radiat Oncol 2021; 31:28-36. [PMID: 33246633 DOI: 10.1016/j.semradonc.2020.07.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Theranostics is a precision medicine discipline that integrates diagnostic nuclear medicine imaging with radionuclide therapy in a manner that provides both a tumor phenotype and personalized therapy to patients with cancer using radiopharmaceuticals aimed at the same target-specific biological pathway or receptor. The aim of quantitative nuclear medicine imaging is to plan the alpha or beta-emitting therapy based on an accurate 3-dimensional representation of the in-vivo distribution of radioactivity concentration within the tumor and normal organs/tissues in a noninvasive manner. In general, imaging may be either based on positron emission tomography (PET) or single photon emission computed tomography (SPECT) invariably in combination with X-ray CT (PET/CT; SPECT/CT) or, to a much lesser extent, MRI. PET and SPECT differ in terms of the radionuclides and physical processes that give rise to the emission of high energy photons, as well as the sets of technologies involved in their detection. Using a variety of standardized quantitative parameters, system calibration, patient preparation, imaging acquisition and reconstruction protocols, and image analysis protocols, an accurate quantification of the tracer distribution can be obtained, which helps prescribe the therapeutic dose for each patient.
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Affiliation(s)
- Arda Könik
- Department of Imaging, Dana-Farber Cancer Institute, Boston, MA.
| | - Joseph A O'Donoghue
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Richard L Wahl
- Department of Radiology, Mallinckrodt Institute of Radiology, Washington University in St Louis School of Medicine, St. Louis, MO
| | - Michael M Graham
- Past Director of Nuclear Medicine, Roy J and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA
| | - Annick D Van den Abbeele
- Department of Imaging, Dana-Farber Cancer Institute, Boston, MA; Division of Cancer Imaging, Mass General Brigham, Boston, MA; Dana-Farber Cancer Institute and Mass General Brigham, Boston, MA; Center for Biomedical Imaging in Oncology, Dana-Farber Cancer Institute, Boston, MA; Tumor Imaging Metrics Core, Dana-Farber/Harvard Cancer Center, Boston, MA
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Craig AJ, Rojas B, Wevrett JL, Hamer E, Fenwick A, Gregory R. IPEM topical report: current molecular radiotherapy service provision and guidance on the implications of setting up a dosimetry service. Phys Med Biol 2020; 65:245038. [PMID: 33142274 DOI: 10.1088/1361-6560/abc707] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Despite a growth in molecular radiotherapy treatment (MRT) and an increase in interest, centres still rarely perform MRT dosimetry. The aims of this report were to assess the main reasons why centres are not performing MRT dosimetry and provide advice on the resources required to set-up such a service. A survey based in the United Kingdom was developed to establish how many centres provide an MRT dosimetry service and the main reasons why it is not commonly performed. Twenty-eight per cent of the centres who responded to the survey performed some form of dosimetry, with 88% of those centres performing internal dosimetry. The survey showed that a 'lack of clinical evidence', a 'lack of guidelines' and 'not current UK practice' were the largest obstacles to setting up an MRT dosimetry service. More practical considerations, such as 'lack of software' and 'lack of staff training/expertise', were considered to be of lower significance by the respondents. Following on from the survey, this report gives an overview of the current guidelines, and the evidence available demonstrating the benefits of performing MRT dosimetry. The resources required to perform such techniques are detailed with reference to guidelines, training resources and currently available software. It is hoped that the information presented in this report will allow MRT dosimetry to be performed more frequently and in more centres, both in routine clinical practice and in multicentre trials. Such trials are required to harmonise dosimetry techniques between centres, build on the current evidence base, and provide the data necessary to establish the dose-response relationship for MRT.
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Affiliation(s)
- Allison J Craig
- Joint Department of Physics, Royal Marsden NHSFT, Sutton, United Kingdom. The Institute of Cancer Research, London, United Kingdom. Author to whom any correspondence should be addressed
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Lassmann M, Eberlein U, Tran-Gia J. Multicentre Trials on Standardised Quantitative Imaging and Dosimetry for Radionuclide Therapies. Clin Oncol (R Coll Radiol) 2020; 33:125-130. [PMID: 33277151 DOI: 10.1016/j.clon.2020.11.008] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/19/2020] [Accepted: 11/13/2020] [Indexed: 11/25/2022]
Abstract
The aim of this review is to summarise the efforts undertaken so far to compare or standardise quantitative imaging with gamma cameras across centres for multicentre trials in radionuclide therapies. Overall, 10 studies were identified, five of which were set up as a multicentre effort for standardising and comparing methods for quantitative imaging. One study used positron emission tomography imaging with 124I. In the remaining studies, measurements were carried out with planar imaging, single photon emission computed tomography/computed tomography (SPECT/CT) or a combination of both. Three studies used radioactive calibration sources that were traceable to national standards. Most of the studies were set up in the framework of multicentre clinical trials in an effort to obtain comparable quantification across sites. The use of state-of-the-art SPECT/CT systems and reconstructions has emerged as the method of choice for dosimetry in clinical trials for radionuclide therapies.
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Affiliation(s)
- M Lassmann
- Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Würzburg, Würzburg, Germany.
| | - U Eberlein
- Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Würzburg, Würzburg, Germany
| | - J Tran-Gia
- Klinik und Poliklinik für Nuklearmedizin, Universitätsklinikum Würzburg, Würzburg, Germany
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25
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Huizing DMV, Sinaasappel M, Dekker MC, Stokkel MPM, de Wit – van der Veen BJ. 177
Lutetium SPECT/CT: Evaluation of collimator, photopeak and scatter correction. J Appl Clin Med Phys 2020; 21:272-277. [PMID: 32790140 PMCID: PMC7497918 DOI: 10.1002/acm2.12991] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 06/26/2020] [Accepted: 07/09/2020] [Indexed: 11/10/2022] Open
Abstract
Purpose The goal of this study was to find the optimal combination of collimator, photopeak and scatter correction for 177Lutetium (177Lu) SPECT/CT imaging. Methods Three experiments [sphere‐to‐background ratios (SBR) 50:1, 10:1, and 2:1] were performed with the NEMA Image Quality phantom filled with 177Lu‐trichloride. SPECT/CT acquisitions were performed with the medium‐energy low‐penetration (MELP) collimator and 99mTc/Krypton collimator. For each acquisition six reconstructions, all with attenuation correction (AC), were made: the 113‐keV photopeak only, the 208‐keV photopeak only and both photopeaks combined, each with or without scatter correction (SC). Image quality was assessed using contrast‐to‐noise ratios (CNR), quantification accuracy by means of recovery coefficients (RCs) and the spatial resolution using line profiles. Results With SBR 50:1 and 10:1, both collimators met the Rose criterion (CNR > 5), whereas the MELP collimator showed a higher CNR for the 2:1 ratio. The RCmean was higher with the MELP collimator, most explicit after the 208‐keV AC/SC reconstruction for all acquisitions. The line profiles showed a better spatial resolution for the MELP collimator and the 208‐keV AC/SC reconstructions. Conclusion 177Lu SPECT/CT image quality and quantification was most optimal when acquired with the MELP collimator and reconstructed using the 208‐keV photopeak, with AC and SC.
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Affiliation(s)
- Daphne M. V. Huizing
- Department of Nuclear Medicine Netherlands Cancer Institute Amsterdam The Netherlands
| | - Michiel Sinaasappel
- Department of Physics Netherlands Cancer Institute Amsterdam The Netherlands
| | - Marien C. Dekker
- Department of Nuclear Medicine Netherlands Cancer Institute Amsterdam The Netherlands
| | - Marcel P. M. Stokkel
- Department of Nuclear Medicine Netherlands Cancer Institute Amsterdam The Netherlands
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26
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Current K, Meyer C, Magyar CE, Mona CE, Almajano J, Slavik R, Stuparu AD, Cheng C, Dawson DW, Radu CG, Czernin J, Lueckerath K. Investigating PSMA-Targeted Radioligand Therapy Efficacy as a Function of Cellular PSMA Levels and Intratumoral PSMA Heterogeneity. Clin Cancer Res 2020; 26:2946-2955. [PMID: 31932492 PMCID: PMC7299755 DOI: 10.1158/1078-0432.ccr-19-1485] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 11/26/2019] [Accepted: 01/08/2020] [Indexed: 01/19/2023]
Abstract
PURPOSE Prostate-specific membrane antigen (PSMA) targeting radioligands deliver radiation to PSMA-expressing cells. However, the relationship between PSMA levels and intralesion heterogeneity of PSMA expression, and cytotoxic radiation by radioligand therapy (RLT) is unknown. Here we investigate RLT efficacy as function of PSMA levels/cell, and the fraction of PSMA+ cells in a tumor. EXPERIMENTAL DESIGN RM1 cells expressing different levels of PSMA (PSMA-, PSMA+, PSMA++, PSMA+++; study 1) or a mix of PSMA+ and PSMA- RM1 (study 2, 4) or PC-3/PC-3-PIP (study 3) cells at various ratios were injected into mice. Mice received 177Lu- (studies 1-3) or 225Ac- (study 4) PSMA617. Tumor growth was monitored. Two days post-RLT, tumors were resected in a subset of mice. Radioligand uptake and DNA damage were quantified. RESULTS 177Lu-PSMA617 efficacy increased with increasing PSMA levels (study 1) and fractions of PSMA positive cells (studies 2, 3) in both, the RM1 and PC-3-PIP models. In tumors resected 2 days post-RLT, PSMA expression correlated with 177Lu-PSMA617 uptake and the degree of DNA damage. Compared with 177Lu-PSMA617, 225Ac-PSMA617 improved overall antitumor effectiveness and tended to enhance the differences in therapeutic efficacy between experimental groups. CONCLUSIONS In the current models, both the degree of PSMA expression and the fraction of PSMA+ cells correlate with 177Lu-/225Ac-PSMA617 tumor uptake and DNA damage, and thus, RLT efficacy. Low or heterogeneous PSMA expression represents a resistance mechanism to RLT.See related commentary by Ravi Kumar and Hofman, p. 2774.
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Affiliation(s)
- Kyle Current
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at University of California, Los Angeles (UCLA), California
| | - Catherine Meyer
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at University of California, Los Angeles (UCLA), California
| | - Clara E Magyar
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at University of California, Los Angeles (UCLA), California
| | - Christine E Mona
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at University of California, Los Angeles (UCLA), California
| | - Joel Almajano
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at University of California, Los Angeles (UCLA), California
| | - Roger Slavik
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at University of California, Los Angeles (UCLA), California
| | - Andreea D Stuparu
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at University of California, Los Angeles (UCLA), California
| | - Chloe Cheng
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at University of California, Los Angeles (UCLA), California
| | - David W Dawson
- Department of Pathology and Laboratory Medicine, David Geffen School of Medicine at University of California, Los Angeles (UCLA), California
| | - Caius G Radu
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at University of California, Los Angeles (UCLA), California
| | - Johannes Czernin
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at University of California, Los Angeles (UCLA), California
| | - Katharina Lueckerath
- Department of Molecular and Medical Pharmacology, David Geffen School of Medicine at University of California, Los Angeles (UCLA), California.
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27
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Hänscheid H, Lassmann M. Will SPECT/CT Cameras Soon Be Able to Display Absorbed Doses? Dosimetry from Single-Activity-Concentration Measurements. J Nucl Med 2020; 61:1028-1029. [DOI: 10.2967/jnumed.119.239970] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Accepted: 01/03/2020] [Indexed: 11/16/2022] Open
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Abstract
The continuous development of SPECT over the past 50 years has led to improved image quality and increased diagnostic confidence. The most influential developments include the realization of hybrid SPECT/CT devices, as well as the implementation of attenuation correction and iterative image reconstruction techniques. These developments have led to a preference for SPECT/CT devices over SPECT-only systems and to the widespread adoption of the former, strengthening the role of SPECT/CT as the workhorse of Nuclear Medicine imaging. New trends in the ongoing development of SPECT/CT are diverse. For example, whole-body SPECT/CT images, consisting of acquisitions from multiple consecutive bed positions in the manner of PET/CT, are increasingly performed. Additionally, in recent years, some interesting approaches in detector technology have found their way into commercial products. For example, some SPECT cameras dedicated to specific organs employ semiconductor detectors made of cadmium telluride or cadmium zinc telluride, which have been shown to increase the obtainable image quality by offering a higher sensitivity and energy resolution. However, the advent of quantitative SPECT/CT which, like PET, can quantify the amount of tracer in terms of Bq/mL or as a standardized uptake value could be regarded as most important development. It is a major innovation that will lead to increased diagnostic accuracy and confidence, especially in longitudinal studies and in the monitoring of treatment response. The current work comprises two main aspects. At first, physical and technical fundamentals of SPECT image formation are described and necessary prerequisites of quantitative SPECT/CT are reviewed. Additionally, the typically achievable quantitative accuracy based on reports from the literature is given. Second, an extensive list of studies reporting on clinical applications of quantitative SPECT/CT is provided and reviewed.
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Affiliation(s)
- Philipp Ritt
- Clinic of Nuclear Medicine, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany.
| | - Torsten Kuwert
- Clinic of Nuclear Medicine, University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany
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29
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Meyer C, Dahlbom M, Lindner T, Vauclin S, Mona C, Slavik R, Czernin J, Haberkorn U, Calais J. Radiation Dosimetry and Biodistribution of 68Ga-FAPI-46 PET Imaging in Cancer Patients. J Nucl Med 2019; 61:1171-1177. [PMID: 31836685 DOI: 10.2967/jnumed.119.236786] [Citation(s) in RCA: 135] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Accepted: 12/02/2019] [Indexed: 12/16/2022] Open
Abstract
Targeting cancer-associated fibroblasts (CAFs) has become an attractive goal for diagnostic imaging and therapy because they can constitute as much as 90% of a tumor mass. The serine protease fibroblast activation protein (FAP) is overexpressed selectively in CAFs, drawing interest in FAP as a stromal target. The quinoline-based FAP inhibitor (FAPI) PET tracer 68Ga-FAPI-04 has been previously shown to yield high tumor-to-background ratios (TBRs) in patients with various cancers. Recent developments toward an improved compound for therapeutic application have identified FAPI-46 as a promising agent because of an increased tumor retention time in comparison with FAPI-04. Here, we present a PET biodistribution and radiation dosimetry study of 68Ga-FAPI-46 in cancer patients. Methods: Six patients with different cancers underwent serial 68Ga-FAPI-46 PET/CT scans at 3 time points after radiotracer injection: 10 min, 1 h, and 3 h. The source organs consisted of the kidneys, bladder, liver, heart, spleen, bone marrow, uterus, and remainder of body. OLINDA/EXM software, version 1.1, was used to fit and integrate the kinetic organ activity data to yield total-body and organ time-integrated activity coefficients and residence times and, finally, organ-absorbed doses. SUVs and TBR were generated from the contoured tumor and source-organ volumes. Spheric volumes in muscle and blood pool were also obtained for TBR (tumor SUVmax/organ SUVmean). Results: At all time points, average SUVmax was highest in the liver. Tumor and organ SUVmean decreased over time, whereas TBRs in all organs but the uterus increased. The organs with the highest effective doses were bladder wall (2.41E-03 mSv/MBq), followed by ovaries (1.15E-03 mSv/MBq) and red marrow (8.49E-04 mSv/MBq). The average effective total-body dose was 7.80E-03 mSv/MBq. Conclusion: 68Ga-FAPI-46 PET/CT has a favorable dosimetry profile, with an estimated whole-body dose of 5.3 mSv for an administration of 200 MBq (5.4 mCi) of 68Ga-FAPI-46 (1.56 ± 0.26 mSv from the PET tracer and 3.7 mSv from 1 low-dose CT scan). The biodistribution study showed high TBRs increasing over time, suggesting high diagnostic performance and favorable tracer kinetics for potential therapeutic applications.
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Affiliation(s)
- Catherine Meyer
- Physics and Biology in Medicine Interdepartmental Graduate Program, David Geffen School of Medicine, UCLA, Los Angeles, California.,Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California
| | - Magnus Dahlbom
- Physics and Biology in Medicine Interdepartmental Graduate Program, David Geffen School of Medicine, UCLA, Los Angeles, California.,Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California
| | - Thomas Lindner
- Department of Nuclear Medicine, University Hospital Heidelberg, Heidelberg, Germany
| | | | - Christine Mona
- Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California
| | - Roger Slavik
- Physics and Biology in Medicine Interdepartmental Graduate Program, David Geffen School of Medicine, UCLA, Los Angeles, California.,Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California.,Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, California
| | - Johannes Czernin
- Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California.,Institute of Urologic Oncology, UCLA, Los Angeles, California.,Clinical Cooperation Unit Nuclear Medicine, DKFZ Heidelberg, Heidelberg, Germany; and
| | - Uwe Haberkorn
- Department of Nuclear Medicine, University Hospital Heidelberg, Heidelberg, Germany.,Clinical Cooperation Unit Nuclear Medicine, DKFZ Heidelberg, Heidelberg, Germany; and.,Translational Lung Research Center Heidelberg, German Center for Lung Research, Heidelberg, Germany
| | - Jeremie Calais
- Physics and Biology in Medicine Interdepartmental Graduate Program, David Geffen School of Medicine, UCLA, Los Angeles, California .,Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California.,Jonsson Comprehensive Cancer Center, UCLA, Los Angeles, California.,Institute of Urologic Oncology, UCLA, Los Angeles, California
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30
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Jin Z, Nguyen KT, Go G, Kang B, Min HK, Kim SJ, Kim Y, Li H, Kim CS, Lee S, Park S, Kim KP, Huh KM, Song J, Park JO, Choi E. Multifunctional Nanorobot System for Active Therapeutic Delivery and Synergistic Chemo-photothermal Therapy. NANO LETTERS 2019; 19:8550-8564. [PMID: 31694378 DOI: 10.1021/acs.nanolett.9b03051] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Nanorobots are safe and exhibit powerful functionalities, including delivery, therapy, and diagnosis. Therefore, they are in high demand for the development of new cancer therapies. Although many studies have contributed to the progressive development of the nanorobot system for anticancer drug delivery, these systems still face some critical limitations, such as potentially toxic materials in the nanorobots, unreasonable sizes for passive targeting, and the lack of several essential functions of the nanorobot for anticancer drug delivery including sensing, active targeting, controlling drug release, and sufficient drug loading capacity. Here, we developed a multifunctional nanorobot system capable of precise magnetic control, sufficient drug loading for chemotherapy, light-triggered controlled drug release, light absorption for photothermal therapy, enhanced magnetic resonance imaging, and tumor sensing. The developed nanorobot system exhibits an in vitro synergetic antitumor effect of photothermal therapy and chemotherapy and outstanding tumor-targeting efficiency in both in vitro and in vivo environments. The results of this study encourage further explorations of an efficient active drug delivery system for cancer treatment and the development of nanorobot systems for other biomedical applications.
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Affiliation(s)
- Zhen Jin
- Korea Institute of Medical Microrobotics , 43-26 Cheomdangwagi-ro , Buk-gu, Gwangju 61011 , Republic of Korea
- School of Mechanical Engineering , Chonnam National University , 77 Yongbong-ro, Buk-gu , Gwangju 61186 , Republic of Korea
| | - Kim Tien Nguyen
- Korea Institute of Medical Microrobotics , 43-26 Cheomdangwagi-ro , Buk-gu, Gwangju 61011 , Republic of Korea
- School of Mechanical Engineering , Chonnam National University , 77 Yongbong-ro, Buk-gu , Gwangju 61186 , Republic of Korea
| | - Gwangjun Go
- Korea Institute of Medical Microrobotics , 43-26 Cheomdangwagi-ro , Buk-gu, Gwangju 61011 , Republic of Korea
- School of Mechanical Engineering , Chonnam National University , 77 Yongbong-ro, Buk-gu , Gwangju 61186 , Republic of Korea
| | - Byungjeon Kang
- Korea Institute of Medical Microrobotics , 43-26 Cheomdangwagi-ro , Buk-gu, Gwangju 61011 , Republic of Korea
| | - Hyun-Ki Min
- Korea Institute of Medical Microrobotics , 43-26 Cheomdangwagi-ro , Buk-gu, Gwangju 61011 , Republic of Korea
| | - Seok-Jae Kim
- Korea Institute of Medical Microrobotics , 43-26 Cheomdangwagi-ro , Buk-gu, Gwangju 61011 , Republic of Korea
| | - Yun Kim
- Department of Mechanical Engineering , Hanbat National University , Deongmyeong-dong, Yuseong-gu, Daejeon 34158 , Republic of Korea
| | - Hao Li
- Korea Institute of Medical Microrobotics , 43-26 Cheomdangwagi-ro , Buk-gu, Gwangju 61011 , Republic of Korea
| | - Chang-Sei Kim
- Korea Institute of Medical Microrobotics , 43-26 Cheomdangwagi-ro , Buk-gu, Gwangju 61011 , Republic of Korea
- School of Mechanical Engineering , Chonnam National University , 77 Yongbong-ro, Buk-gu , Gwangju 61186 , Republic of Korea
| | - Seonmin Lee
- Department of Oncology , Asan Medical Center, University of Ulsan College of Medicine , 88, Olympic-ro 43-gil , Songpa-Gu, Seoul 05505 , Republic of Korea
| | - Sukho Park
- Department of Robotics Engineering , Daegu Gyeongbuk Institute of Science and Technology (DGIST) , Daegu 42988 , Republic of Korea
| | - Kyu-Pyo Kim
- Department of Oncology , Asan Medical Center, University of Ulsan College of Medicine , 88, Olympic-ro 43-gil , Songpa-Gu, Seoul 05505 , Republic of Korea
| | - Kang Moo Huh
- Department of Polymer Science and Engineering , Chungnam National University , 99 Daehak-ro , Yuseong-gu, Daejeon 34134 , Republic of Korea
| | - Jihwan Song
- Department of Mechanical Engineering , Hanbat National University , Deongmyeong-dong, Yuseong-gu, Daejeon 34158 , Republic of Korea
| | - Jong-Oh Park
- Korea Institute of Medical Microrobotics , 43-26 Cheomdangwagi-ro , Buk-gu, Gwangju 61011 , Republic of Korea
- School of Mechanical Engineering , Chonnam National University , 77 Yongbong-ro, Buk-gu , Gwangju 61186 , Republic of Korea
| | - Eunpyo Choi
- Korea Institute of Medical Microrobotics , 43-26 Cheomdangwagi-ro , Buk-gu, Gwangju 61011 , Republic of Korea
- School of Mechanical Engineering , Chonnam National University , 77 Yongbong-ro, Buk-gu , Gwangju 61186 , Republic of Korea
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31
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Malcolm J, Falzone N, Lee BQ, Vallis KA. Targeted Radionuclide Therapy: New Advances for Improvement of Patient Management and Response. Cancers (Basel) 2019; 11:E268. [PMID: 30823564 PMCID: PMC6406485 DOI: 10.3390/cancers11020268] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 02/20/2019] [Accepted: 02/21/2019] [Indexed: 12/20/2022] Open
Abstract
Compared to external beam radiotherapy, targeted radionuclide therapy (TRT) allows for systemic radiation treatment of metastatic lesions. Published work on recent strategies to improve patient management and response to TRT through individualising patient treatment, modifying treatment pharmacokinetics and increasing anticancer potency are discussed in this review, with a special focus on the application of clinically evaluated radiolabelled ligands and peptides in the treatment of neuroendocrine and prostate cancers.
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Affiliation(s)
- Javian Malcolm
- CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford OX37DQ, UK.
| | - Nadia Falzone
- CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford OX37DQ, UK.
| | - Boon Q Lee
- CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford OX37DQ, UK.
| | - Katherine A Vallis
- CRUK/MRC Oxford Institute for Radiation Oncology, University of Oxford, Oxford OX37DQ, UK.
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32
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Werner RA, Weich A, Kircher M, Solnes LB, Javadi MS, Higuchi T, Buck AK, Pomper MG, Rowe SP, Lapa C. The theranostic promise for Neuroendocrine Tumors in the late 2010s - Where do we stand, where do we go? Theranostics 2018; 8:6088-6100. [PMID: 30613284 PMCID: PMC6299695 DOI: 10.7150/thno.30357] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Accepted: 10/24/2018] [Indexed: 12/14/2022] Open
Abstract
More than 25 years after the first peptide receptor radionuclide therapy (PRRT), the concept of somatostatin receptor (SSTR)-directed imaging and therapy for neuroendocrine tumors (NET) is seeing rapidly increasing use. To maximize the full potential of its theranostic promise, efforts in recent years have expanded recommendations in current guidelines and included the evaluation of novel theranostic radiotracers for imaging and treatment of NET. Moreover, the introduction of standardized reporting framework systems may harmonize PET reading, address pitfalls in interpreting SSTR-PET/CT scans and guide the treating physician in selecting PRRT candidates. Notably, the concept of PRRT has also been applied beyond oncology, e.g. for treatment of inflammatory conditions like sarcoidosis. Future perspectives may include the efficacy evaluation of PRRT compared to other common treatment options for NET, novel strategies for closer monitoring of potential side effects, the introduction of novel radiotracers with beneficial pharmacodynamic and kinetic properties or the use of supervised machine learning approaches for outcome prediction. This article reviews how the SSTR-directed theranostic concept is currently applied and also reflects on recent developments that hold promise for the future of theranostics in this context.
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Affiliation(s)
- Rudolf A. Werner
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of Nuclear Medicine and Molecular Imaging, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Nuclear Medicine/Comprehensive Heart Failure Center, University Hospital Würzburg, Germany
- European Neuroendocrine Tumor Society (ENETS) Center of Excellence (CoE), NET Zentrum, University Hospital Würzburg, Germany
| | - Alexander Weich
- European Neuroendocrine Tumor Society (ENETS) Center of Excellence (CoE), NET Zentrum, University Hospital Würzburg, Germany
- Department of Internal Medicine II, Gastroenterology, University Hospital Würzburg, Germany
| | - Malte Kircher
- Department of Nuclear Medicine/Comprehensive Heart Failure Center, University Hospital Würzburg, Germany
- European Neuroendocrine Tumor Society (ENETS) Center of Excellence (CoE), NET Zentrum, University Hospital Würzburg, Germany
| | - Lilja B. Solnes
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of Nuclear Medicine and Molecular Imaging, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mehrbod S. Javadi
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of Nuclear Medicine and Molecular Imaging, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Takahiro Higuchi
- Department of Nuclear Medicine/Comprehensive Heart Failure Center, University Hospital Würzburg, Germany
- Department of Bio Medical Imaging, National Cardiovascular and Cerebral Research Center, Suita, Japan
| | - Andreas K. Buck
- Department of Nuclear Medicine/Comprehensive Heart Failure Center, University Hospital Würzburg, Germany
- European Neuroendocrine Tumor Society (ENETS) Center of Excellence (CoE), NET Zentrum, University Hospital Würzburg, Germany
| | - Martin G. Pomper
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of Nuclear Medicine and Molecular Imaging, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- James Buchanan Brady Urological Institute and Department of Urology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Steven P. Rowe
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of Nuclear Medicine and Molecular Imaging, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- James Buchanan Brady Urological Institute and Department of Urology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Constantin Lapa
- Department of Nuclear Medicine/Comprehensive Heart Failure Center, University Hospital Würzburg, Germany
- European Neuroendocrine Tumor Society (ENETS) Center of Excellence (CoE), NET Zentrum, University Hospital Würzburg, Germany
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Santoro L, Mora-Ramirez E, Trauchessec D, Chouaf S, Eustache P, Pouget JP, Kotzki PO, Bardiès M, Deshayes E. Implementation of patient dosimetry in the clinical practice after targeted radiotherapy using [ 177Lu-[DOTA0, Tyr3]-octreotate. EJNMMI Res 2018; 8:103. [PMID: 30498938 PMCID: PMC6265360 DOI: 10.1186/s13550-018-0459-4] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2018] [Accepted: 11/20/2018] [Indexed: 01/01/2023] Open
Abstract
Background This study’s aim was to develop our dosimetric methodology using a commercial workstation for the routine evaluation of the organs at risk during peptide receptor radionuclide therapy (PRRT) with 177Lu. Methods First, planar and SPECT sensitivity factors were determined on phantoms. The reconstruction parameters were optimized by SPECT/CT image acquisition using a NEMA IEC phantom containing a 500 ml bottle of 177Lu, to simulate a kidney. The recovery coefficients were determined on various phantoms. For the red marrow, this was calculated using a NEMA IEC phantom that contained a centrally placed bottle of 80 ml of 177Lu (to model the L2-L4 red marrow) flanked by two 200 ml bottles with 177Lu to simulate the kidneys. Then, SPECT/CT images were acquired at 4, 24, 72, and 192 h after injection in 12 patients with neuroendocrine tumors who underwent PRRT with 177Lu-DOTATATE. SPECT data were reconstructed using the iterative ordered subset expectation maximization (OSEM) method, with six iterations and ten subsets, attenuation, scatter, recovery resolution corrections, and a Gaussian post-filter of 0.11 cm. The liver, spleen, kidneys, and red marrow dose per administered activity (AD/A admin) values were calculated with the Medical Internal Radiation Dose (MIRD) formalism and the residence times (Dosimetry toolkit® application) using standard and CT imaging-based organ masses (OLINDA/EXM® V1.0 software). Results Sensitivity factors of 6.11 ± 0.01 and 5.67 ± 0.08 counts/s/MBq were obtained with planar and SPECT/CT acquisitions, respectively. A recovery coefficient of 0.78 was obtained for the modeled L2–L4 red marrow. The mean AD/A admin values were 0.43 ± 0.13 mGy/MBq [0.27–0.91] for kidneys, 0.54 ± 0.58 mGy/MBq [0.12–2.26] for liver, 0.61 ± 0.13 mGy/MBq [0.42–0.89] for spleen, and 0.04 ± 0.02 mGy/MBq [0.01–0.09] for red marrow. The AD/A admin values varied when calculated using the personalized and standard organ mass, particularly for kidneys (p = 1 × 10−7), spleen (p = 0.0069), and red marrow (p = 0.0027). Intra-patient differences were observed especially in organs close to or including tumor cells or metastases. Conclusions The obtained AD/A admin values were in agreement with the literature data. This study shows the technical feasibility of patient dosimetry in clinical practice and the need to obtain patient-specific information.
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Affiliation(s)
- Lore Santoro
- Nuclear Medicine Department, Montpellier Cancer Institute (ICM), University of Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex5, France.
| | - Erick Mora-Ramirez
- Centre de Recherche en Cancérologie de Toulouse, Toulouse, France.,INSERM, UMR 1037, Toulouse III Paul Sabatier University, Toulouse, France.,University of Costa Rica, Physics School, CICANUM, San Jose, Costa Rica
| | - Dorian Trauchessec
- Nuclear Medicine Department, Montpellier Cancer Institute (ICM), University of Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex5, France
| | - Soufiane Chouaf
- Nuclear Medicine Department, Montpellier Cancer Institute (ICM), University of Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex5, France
| | - Pierre Eustache
- Nuclear Medicine Department, Montpellier Cancer Institute (ICM), University of Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex5, France
| | - Jean-Pierre Pouget
- Institut de Recherche en Cancérologie de Montpellier (IRCM), INSERM U1194, Université de Montpellier, Institut Régional du Cancer de Montpellier (ICM), Montpellier, France
| | - Pierre-Olivier Kotzki
- Nuclear Medicine Department, Montpellier Cancer Institute (ICM), University of Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex5, France.,Institut de Recherche en Cancérologie de Montpellier (IRCM), INSERM U1194, Université de Montpellier, Institut Régional du Cancer de Montpellier (ICM), Montpellier, France
| | - Manuel Bardiès
- Centre de Recherche en Cancérologie de Toulouse, Toulouse, France.,INSERM, UMR 1037, Toulouse III Paul Sabatier University, Toulouse, France
| | - Emmanuel Deshayes
- Nuclear Medicine Department, Montpellier Cancer Institute (ICM), University of Montpellier, 208 Avenue des Apothicaires, 34298, Montpellier Cedex5, France.,Institut de Recherche en Cancérologie de Montpellier (IRCM), INSERM U1194, Université de Montpellier, Institut Régional du Cancer de Montpellier (ICM), Montpellier, France
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