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Grkovski M, O'Donoghue JA, Imber BS, Andl G, Tu C, Lafontaine D, Schwartz J, Thor M, Zelefsky MJ, Humm JL, Bodei L. Lesion Dosimetry for [ 177Lu]Lu-PSMA-617 Radiopharmaceutical Therapy Combined with Stereotactic Body Radiotherapy in Patients with Oligometastatic Castration-Sensitive Prostate Cancer. J Nucl Med 2023; 64:1779-1787. [PMID: 37652541 PMCID: PMC10626375 DOI: 10.2967/jnumed.123.265763] [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: 03/21/2023] [Revised: 07/11/2023] [Indexed: 09/02/2023] Open
Abstract
A single-institution prospective pilot clinical trial was performed to demonstrate the feasibility of combining [177Lu]Lu-PSMA-617 radiopharmaceutical therapy (RPT) with stereotactic body radiotherapy (SBRT) for the treatment of oligometastatic castration-sensitive prostate cancer. Methods: Six patients with 9 prostate-specific membrane antigen (PSMA)-positive oligometastases received 2 cycles of [177Lu]Lu-PSMA-617 RPT followed by SBRT. After the first intravenous infusion of [177Lu]Lu-PSMA-617 (7.46 ± 0.15 GBq), patients underwent SPECT/CT at 3.2 ± 0.5, 23.9 ± 0.4, and 87.4 ± 12.0 h. Voxel-based dosimetry was performed with calibration factors (11.7 counts per second/MBq) and recovery coefficients derived from in-house phantom experiments. Lesions were segmented on baseline PSMA PET/CT (50% SUVmax). After a second cycle of [177Lu]Lu-PSMA-617 (44 ± 3 d; 7.50 ± 0.10 GBq) and an interim PSMA PET/CT scan, SBRT (27 Gy in 3 fractions) was delivered to all PSMA-avid oligometastatic sites, followed by post-PSMA PET/CT. RPT and SBRT voxelwise dose maps were scaled (α/β = 3 Gy; repair half-time, 1.5 h) to calculate the biologically effective dose (BED). Results: All patients completed the combination therapy without complications. No grade 3+ toxicities were noted. The median of the lesion SUVmax as measured on PSMA PET was 16.8 (interquartile range [IQR], 11.6) (baseline), 6.2 (IQR, 2.7) (interim), and 2.9 (IQR, 1.4) (post). PET-derived lesion volumes were 0.4-1.7 cm3 The median lesion-absorbed dose (AD) from the first cycle of [177Lu]Lu-PSMA-617 RPT (ADRPT) was 27.7 Gy (range, 8.3-58.2 Gy; corresponding to 3.7 Gy/GBq, range, 1.1-7.7 Gy/GBq), whereas the median lesion AD from SBRT was 28.1 Gy (range, 26.7-28.8 Gy). Spearman rank correlation, ρ, was 0.90 between the baseline lesion PET SUVmax and SPECT SUVmax (P = 0.005), 0.74 (P = 0.046) between the baseline PET SUVmax and the lesion ADRPT, and -0.81 (P = 0.022) between the lesion ADRPT and the percent change in PET SUVmax (baseline to interim). The median for the lesion BED from RPT and SBRT was 159 Gy (range, 124-219 Gy). ρ between the BED from RPT and SBRT and the percent change in PET SUVmax (baseline to post) was -0.88 (P = 0.007). Two cycles of [177Lu]Lu-PSMA-617 RPT contributed approximately 40% to the maximum BED from RPT and SBRT. Conclusion: Lesional dosimetry in patients with oligometastatic castration-sensitive prostate cancer undergoing [177Lu]Lu-PSMA-617 RPT followed by SBRT is feasible. Combined RPT and SBRT may provide an efficient method to maximize the delivery of meaningful doses to oligometastatic disease while addressing potential microscopic disease reservoirs and limiting the dose exposure to normal tissues.
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Affiliation(s)
- Milan Grkovski
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York;
| | - Joseph A O'Donoghue
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Brandon S Imber
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - George Andl
- Varian Medical Systems Inc., Palo Alto, California; and
| | - Cheng Tu
- Varian Medical Systems Inc., Palo Alto, California; and
| | - Daniel Lafontaine
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Jazmin Schwartz
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Maria Thor
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Michael J Zelefsky
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - John L Humm
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Lisa Bodei
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York
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Halfdanarson TR, Mallak N, Paulson S, Chandrasekharan C, Natwa M, Kendi AT, Kennecke HF. Monitoring and Surveillance of Patients with Gastroenteropancreatic Neuroendocrine Tumors Undergoing Radioligand Therapy. Cancers (Basel) 2023; 15:4836. [PMID: 37835530 PMCID: PMC10571645 DOI: 10.3390/cancers15194836] [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: 07/05/2023] [Revised: 09/13/2023] [Accepted: 09/15/2023] [Indexed: 10/15/2023] Open
Abstract
Radioligand therapy (RLT) with [177Lu]Lu-DOTA-TATE is a standard of care for adult patients with somatostatin-receptor (SSTR)-positive gastroenteropancreatic neuroendocrine tumors (GEP-NETs). Taking advantage of this precision nuclear medicine approach requires diligent monitoring and surveillance, from the use of diagnostic SSTR-targeted radioligand imaging for the selection of patients through treatment and assessments of response. Published evidence-based guidelines assist the multidisciplinary healthcare team by providing acceptable approaches to care; however, the sheer heterogeneity of GEP-NETs can make these frameworks difficult to apply in individual clinical circumstances. There are also contradictions in the literature regarding the utility of novel approaches in monitoring and surveilling patients with GEP-NETs receiving RLT. This article discusses the emerging evidence on imaging, clinical biochemistry, and tumor assessment criteria in the management of patients receiving RLT for GEP-NETs; additionally, it documents our own best practices. This allows us to offer practical guidance on how to effectively implement monitoring and surveillance measures to aid patient-tailored clinical decision-making.
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Affiliation(s)
| | - Nadine Mallak
- Division of Molecular Imaging and Therapy, Oregon Health and Science University, Portland, OR 97239, USA;
| | | | | | - Mona Natwa
- Langone Health, New York University, New York, NY 10016, USA
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Navin PJ, Ehman EC, Liu JB, Halfdanarson TR, Gupta A, Laghi A, Yoo DC, Carucci LR, Schima W, Sheedy SP. Imaging of Small-Bowel Neuroendocrine Neoplasms: AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2023; 221:289-301. [PMID: 36752369 DOI: 10.2214/ajr.22.28877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Neuroendocrine neoplasms (NENs) of the small bowel are typically slow-growing lesions that remain asymptomatic until reaching an advanced stage. Imaging modalities for lesion detection, staging, and follow-up in patients with known or suspected NEN include CT enterography, MR enterography, and PET/CT using a somatostatin receptor analog. FDG PET/CT may have a role in the evaluation of poorly differentiated NENs. Liver MRI, ideally with a hepatocyte-specific contrast agent, should be used in the evaluation of hepatic metastases. Imaging informs decisions regarding both surgical approaches and systematic therapy (specifically, peptide receptor radionuclide therapy). This AJR Expert Panel Narrative Review describes the multimodality imaging features of small-bowel NENs; explores the optimal imaging modalities for their diagnosis, staging, and follow-up; and discusses how imaging may be used to guide therapy.
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Affiliation(s)
- Patrick J Navin
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905
| | - Eric C Ehman
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905
| | - Jason B Liu
- Department of Surgery, Division of Surgical Oncology, Brigham and Women's Hospital, Boston, MA
| | | | - Akshya Gupta
- Department of Imaging Sciences, University of Rochester, Rochester, NY
| | - Andrea Laghi
- Department of Medical Surgical Sciences and Translational Medicine, AOU Sant'Andrea, Sapienza University of Rome, Rome, Italy
| | - Don C Yoo
- Department of Diagnostic Imaging, The Warren Alpert Medical School of Brown University, Providence, RI
| | - Laura R Carucci
- Department of Radiology, Virginia Commonwealth University Medical Center, Richmond, VA
| | - Wolfgang Schima
- Department of Diagnostic and Interventional Radiology, Goettlicher Heiland Krankenhaus, Barmherzige Schwestern Krankenhaus and Sankt Josef Krankenhaus, Vienna, Austria
| | - Shannon P Sheedy
- Department of Radiology, Mayo Clinic, 200 1st St SW, Rochester, MN 55905
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Siebinga H, de Wit-van der Veen BJ, Beijnen JH, Stokkel MPM, Dorlo TPC, Huitema ADR, Hendrikx JJMA. Predicting [ 177Lu]Lu-HA-DOTATATE kidney and tumor accumulation based on [ 68Ga]Ga-HA-DOTATATE diagnostic imaging using semi-physiological population pharmacokinetic modeling. EJNMMI Phys 2023; 10:48. [PMID: 37615812 PMCID: PMC10449733 DOI: 10.1186/s40658-023-00565-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 07/24/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND Prediction of [177Lu]Lu-HA-DOTATATE kidney and tumor uptake based on diagnostic [68Ga]Ga-HA-DOTATATE imaging would be a crucial step for precision dosing of [177Lu]Lu-HA-DOTATATE. In this study, the population pharmacokinetic (PK) differences between [177Lu]Lu-HA-DOTATATE and [68Ga]Ga-HA-DOTATATE were assessed and subsequently [177Lu]Lu-HA-DOTATATE was predicted based on [68Ga]Ga-HA-DOTATATE imaging. METHODS A semi-physiological nonlinear mixed-effects model was developed for [68Ga]Ga-HA-DOTATATE and [177Lu]Lu-HA-DOTATATE, including six compartments (representing blood, spleen, kidney, tumor lesions, other somatostatin receptor expressing organs and a lumped rest compartment). Model parameters were fixed based on a previously developed physiologically based pharmacokinetic model for [68Ga]Ga-HA-DOTATATE. For [177Lu]Lu-HA-DOTATATE, PK parameters were based on literature values or estimated based on scan data (four time points post-injection) from nine patients. Finally, individual [177Lu]Lu-HA-DOTATATE uptake into tumors and kidneys was predicted based on individual [68Ga]Ga-HA-DOTATATE scan data using Bayesian estimates. Predictions were evaluated compared to observed data using a relative prediction error (RPE) for both area under the curve (AUC) and absorbed dose. Lastly, to assess the predictive value of diagnostic imaging to predict therapeutic exposure, individual prediction RPEs (using Bayesian estimation) were compared to those from population predictions (using the population model). RESULTS Population uptake rate parameters for spleen, kidney and tumors differed by a 0.29-fold (15% relative standard error (RSE)), 0.49-fold (15% RSE) and 1.43-fold (14% RSE), respectively, for [177Lu]Lu-HA-DOTATATE compared to [68Ga]Ga-HA-DOTATATE. Model predictions adequately described observed data in kidney and tumors for both peptides (based on visual inspection of goodness-of-fit plots). Individual predictions of tumor uptake were better (RPE AUC -40 to 28%) compared to kidney predictions (RPE AUC -53 to 41%). Absorbed dose predictions were less predictive for both tumor and kidneys (RPE tumor and kidney -51 to 44% and -58 to 82%, respectively). For most patients, [177Lu]Lu-HA-DOTATATE tumor accumulation predictions based on individual PK parameters estimated from diagnostic imaging outperformed predictions based on population parameters. CONCLUSION Our semi-physiological PK model indicated clear differences in PK parameters for [68Ga]Ga-HA-DOTATATE and [177Lu]Lu-HA-DOTATATE. Diagnostic images provided additional information to individually predict [177Lu]Lu-HA-DOTATATE tumor uptake compared to using a population approach. In addition, individual predictions indicated that many aspects, apart from PK differences, play a part in predicting [177Lu]Lu-HA-DOTATATE distribution.
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Affiliation(s)
- Hinke Siebinga
- Department of Pharmacy and Pharmacology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
- Department of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
- Graduate School of Life Sciences, Utrecht University, Utrecht, The Netherlands.
| | | | - Jos H Beijnen
- Department of Pharmacy and Pharmacology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Marcel P M Stokkel
- Department of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Thomas P C Dorlo
- Department of Pharmacy and Pharmacology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
- Department of Pharmacy, Uppsala University, Uppsala, Sweden
| | - Alwin D R Huitema
- Department of Pharmacy and Pharmacology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
- Department of Clinical Pharmacy, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Department of Pharmacology, Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Jeroen J M A Hendrikx
- Department of Pharmacy and Pharmacology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
- Department of Nuclear Medicine, The Netherlands Cancer Institute, Amsterdam, The Netherlands
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Weber M, Telli T, Kersting D, Seifert R. Prognostic Implications of PET-Derived Tumor Volume and Uptake in Patients with Neuroendocrine Tumors. Cancers (Basel) 2023; 15:3581. [PMID: 37509242 PMCID: PMC10377105 DOI: 10.3390/cancers15143581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 06/20/2023] [Accepted: 06/22/2023] [Indexed: 07/30/2023] Open
Abstract
Historically, molecular imaging of somatostatin receptor (SSTR) expression in patients with neuroendocrine tumors (NET) was performed using SSTR scintigraphy (SRS). Sustained advances in medical imaging have led to its gradual replacement with SSTR positron-emission tomography (SSTR-PET). The higher sensitivity in comparison to SRS on the one hand and conventional cross-sectional imaging, on the other hand, enables more accurate staging and allows for image quantification. In addition, in recent years, a growing body of evidence has assessed the prognostic implications of SSTR-PET-derived prognostic biomarkers for NET patients, with the aim of risk stratification, outcome prognostication, and prediction of response to peptide receptor radionuclide therapy. In this narrative review, we give an overview of studies examining the prognostic value of advanced SSTR-PET-derived (semi-)quantitative metrics like tumor volume, uptake, and composite metrics. Complementing this analysis, a discussion of the current trends, clinical implications, and future directions is provided.
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Affiliation(s)
- Manuel Weber
- Department of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, 45147 Essen, Germany
| | - Tugce Telli
- Department of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, 45147 Essen, Germany
| | - David Kersting
- Department of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, 45147 Essen, Germany
| | - Robert Seifert
- Department of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, 45147 Essen, Germany
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Weich A, Serfling SE, Yi H, Buck AK, Higuchi T, Werner RA. Complete Remission Upon Peptide Receptor Radionuclide Therapy in a G2 Pancreatic Neuroendocrine Tumor. Clin Nucl Med 2023; 48:335-336. [PMID: 36728231 DOI: 10.1097/rlu.0000000000004537] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
ABSTRACT We report the case of a 52-year-old man affected with a metastasized neuroendocrine tumor (G2) of the pancreas. After surgical removal, follow-up imaging 36 months later revealed somatostatin receptor-positive liver lesions. Because of disease progression under cold somatostatin analogs 6 months later, peptide receptor radionuclide therapy was performed, that induced complete remission (CR), supporting the notion that "hot" somatostatin analogs can achieve CR even in patients affected with pancreatic G2 neuroendocrine tumor. Of note, such cases exhibiting CR upon peptide receptor radionuclide therapy are extremely rare and further investigations may pool those exceptional treatment responders.
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Affiliation(s)
| | | | - Heqing Yi
- Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
| | - Andreas K Buck
- Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
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Quak E, Weyts K, Jaudet C, Prigent A, Foucras G, Lasnon C. Artificial intelligence-based 68Ga-DOTATOC PET denoising for optimizing 68Ge/68Ga generator use throughout its lifetime. Front Med (Lausanne) 2023; 10:1137514. [PMID: 36993807 PMCID: PMC10040856 DOI: 10.3389/fmed.2023.1137514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 01/30/2023] [Indexed: 03/14/2023] Open
Abstract
IntroductionThe yield per elution of a 68Ge/68Ga generator decreases during its lifespan. This affects the number of patients injected per elution or the injected dose per patient, thereby negatively affecting the cost of examinations and the quality of PET images due to increased image noise. We aimed to investigate whether AI-based PET denoising can offset this decrease in image quality parameters.MethodsAll patients addressed to our PET unit for a 68Ga-DOTATOC PET/CT from April 2020 to February 2021 were enrolled. Forty-four patients underwent their PET scans according to Protocol_FixedDose (150 MBq) and 32 according to Protocol_WeightDose (1.5 MBq/kg). Protocol_WeightDose examinations were processed using the Subtle PET software (Protocol_WeightDoseAI). Liver and vascular SUV mean were recorded as well as SUVmax, SUVmean and metabolic tumour volume (MTV) of the most intense tumoural lesion and its background SUVmean. Liver and vascular coefficients of variation (CV), tumour-to-background and tumour-to-liver ratios were calculated.ResultsThe mean injected dose of 2.1 (0.4) MBq/kg per patient was significantly higher in the Protocol_FixedDose group as compared to 1.5 (0.1) MBq/kg for the Protocol_WeightDose group. Protocol_WeightDose led to noisier images than Protocol_FixedDose with higher CVs for liver (15.57% ± 4.32 vs. 13.04% ± 3.51, p = 0.018) and blood-pool (28.67% ± 8.65 vs. 22.25% ± 10.37, p = 0.0003). Protocol_WeightDoseAI led to less noisy images than Protocol_WeightDose with lower liver CVs (11.42% ± 3.05 vs. 15.57% ± 4.32, p < 0.0001) and vascular CVs (16.62% ± 6.40 vs. 28.67% ± 8.65, p < 0.0001). Tumour-to-background and tumour-to-liver ratios were lower for protocol_WeightDoseAI: 6.78 ± 3.49 vs. 7.57 ± 4.73 (p = 0.01) and 5.96 ± 5.43 vs. 6.77 ± 6.19 (p < 0.0001), respectively. MTVs were higher after denoising whereas tumour SUVmax were lower: the mean% differences in MTV and SUVmax were + 11.14% (95% CI = 4.84–17.43) and −3.92% (95% CI = −6.25 to −1.59).ConclusionThe degradation of PET image quality due to a reduction in injected dose at the end of the 68Ge/68Ga generator lifespan can be effectively counterbalanced by using AI-based PET denoising.
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Affiliation(s)
- Elske Quak
- Nuclear Medicine Department, Comprehensive Cancer Centre François Baclesse, UNICANCER, Caen, France
| | - Kathleen Weyts
- Nuclear Medicine Department, Comprehensive Cancer Centre François Baclesse, UNICANCER, Caen, France
| | - Cyril Jaudet
- Nuclear Medicine Department, Comprehensive Cancer Centre François Baclesse, UNICANCER, Caen, France
- Radiophysics Department, Comprehensive Cancer Centre François Baclesse, UNICANCER, Caen, France
| | - Anaïs Prigent
- Nuclear Medicine Department, Comprehensive Cancer Centre François Baclesse, UNICANCER, Caen, France
- Radiopharmacy Department, Comprehensive Cancer Centre François Baclesse, UNICANCER, Caen, France
| | - Gauthier Foucras
- Nuclear Medicine Department, Comprehensive Cancer Centre François Baclesse, UNICANCER, Caen, France
- Radiopharmacy Department, Comprehensive Cancer Centre François Baclesse, UNICANCER, Caen, France
| | - Charline Lasnon
- Nuclear Medicine Department, Comprehensive Cancer Centre François Baclesse, UNICANCER, Caen, France
- UNICAEN, INSERM 1086 ANTICIPE, Normandy University, Caen, France
- *Correspondence: Charline Lasnon, ; orcid.org/0000-0001-5643-1668
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Pirozzi Palmese V, D'Ambrosio L, Di Gennaro F, Maisto C, de Marino R, Morisco A, Coluccia S, Di Gennaro P, De Lauro F, Raddi M, Gaballo P, Tafuto S, Celentano E, Lastoria S. A comparison of simplified protocols of personalized dosimetry in NEN patients treated by radioligand therapy (RLT) with [ 177Lu]Lu-DOTATATE to favor its use in clinical practice. Eur J Nucl Med Mol Imaging 2023; 50:1753-1764. [PMID: 36688980 PMCID: PMC10119237 DOI: 10.1007/s00259-023-06112-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 01/05/2023] [Indexed: 01/24/2023]
Abstract
The role of internal dosimetry is usually proposed for investigational purposes in patients treated by RLT, even if its application is not yet the standard method in clinical practice. This limited use is partially justified by several concomitant factors that make calculations a complex process. Therefore, simplified dosimetry protocols are required. METHODS In our study, dosimetric evaluations were performed in thirty patients with NENs who underwent RLT with [177Lu]Lu-DOTATATE. The reference method (M0) calculated the cumulative absorbed dose performing dosimetry after each of the four cycles. Obtained data were employed to assess the feasibility of simplified protocols: defining the dosimetry only after the first cycle (M1) and after the first and last one (M2). RESULTS The mean differences of the cumulative absorbed doses between M1 and M0 were - 10% for kidney, - 5% for spleen, + 34% for liver, + 13% for red marrow, and + 37% for tumor lesions. Conversely, differences lower than ± 10% were measured between M2 and M0. CONCLUSION Cumulative absorbed doses obtained with the M2 protocol resembled the doses calculated by M0, while the M1 protocol overestimated the absorbed doses in all organs at risk, except for the spleen.
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Affiliation(s)
| | - Laura D'Ambrosio
- S.C. Medicina Nucleare E Terapia Radiometabolica, INT IRCCS Fondazione G. Pascale, Naples, Italy
| | - Francesca Di Gennaro
- S.C. Medicina Nucleare E Terapia Radiometabolica, INT IRCCS Fondazione G. Pascale, Naples, Italy
| | - Costantina Maisto
- S.C. Medicina Nucleare E Terapia Radiometabolica, INT IRCCS Fondazione G. Pascale, Naples, Italy
| | - Roberta de Marino
- S.C. Medicina Nucleare E Terapia Radiometabolica, INT IRCCS Fondazione G. Pascale, Naples, Italy
| | - Anna Morisco
- S.C. Medicina Nucleare E Terapia Radiometabolica, INT IRCCS Fondazione G. Pascale, Naples, Italy
| | - Sergio Coluccia
- S.C. Epidemiologia E Biostatistica, INT IRCCS Fondazione G. Pascale, Naples, Italy
| | | | - Francesco De Lauro
- S.C. Medicina Nucleare E Terapia Radiometabolica, INT IRCCS Fondazione G. Pascale, Naples, Italy
| | - Marco Raddi
- S.C. Medicina Nucleare E Terapia Radiometabolica, INT IRCCS Fondazione G. Pascale, Naples, Italy
| | - Paolo Gaballo
- S.C. Medicina Nucleare E Terapia Radiometabolica, INT IRCCS Fondazione G. Pascale, Naples, Italy
| | - Salvatore Tafuto
- S.C. Sarcomi E Tumori Rari, INT IRCCS Fondazione G. Pascale, Naples, Italy
| | - Egidio Celentano
- S.C. Epidemiologia E Biostatistica, INT IRCCS Fondazione G. Pascale, Naples, Italy
| | - Secondo Lastoria
- S.C. Medicina Nucleare E Terapia Radiometabolica, INT IRCCS Fondazione G. Pascale, Naples, Italy.
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Rajamohan N, Khasawneh H, Singh A, Suman G, Johnson GB, Majumder S, Halfdanarson TR, Goenka AH. PET/CT and PET/MRI in neuroendocrine neoplasms. Abdom Radiol (NY) 2022; 47:4058-4072. [PMID: 35426497 DOI: 10.1007/s00261-022-03516-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Revised: 03/25/2022] [Accepted: 03/28/2022] [Indexed: 01/18/2023]
Abstract
Advanced molecular imaging has come to play an integral role in the management of gastro-entero-pancreatic neuroendocrine neoplasms (GEP-NENs). Somatostatin receptor (SSTR) PET has now emerged as the reference standard for the evaluation of NENs and is particularly critical in the context of peptide receptor radionuclide therapy (PRRT) eligibility. SSTR PET/MRI with liver-specific contrast agent has a strong potential for one-stop-shop multiparametric evaluation of GEP-NENs. 18F-FDG is a complementary radiotracer to SSTR, especially in the context of high-grade neuroendocrine neoplasms. Knowledge gaps in quantitative evaluation of molecular imaging studies and their role in assessment of response to PRRT and combination therapies are active research areas. Novel radiotracers have the potential to overcome existing limitations in the molecular imaging of GEP-NENs. The purpose of this article is to provide an overview of the current trends, pitfalls, and recent advancements of molecular imaging for GEP-NENs.
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Affiliation(s)
- Naveen Rajamohan
- Department of Radiology, Mayo Clinic, 200 First Street SW, Charlton 1, Rochester, MN, 55905, USA
| | - Hala Khasawneh
- Department of Radiology, Mayo Clinic, 200 First Street SW, Charlton 1, Rochester, MN, 55905, USA
| | - Aparna Singh
- Department of Radiology, Mayo Clinic, 200 First Street SW, Charlton 1, Rochester, MN, 55905, USA
| | - Garima Suman
- Department of Radiology, Mayo Clinic, 200 First Street SW, Charlton 1, Rochester, MN, 55905, USA
| | - Geoffrey B Johnson
- Department of Radiology, Mayo Clinic, 200 First Street SW, Charlton 1, Rochester, MN, 55905, USA
| | - Shounak Majumder
- Department of Gastroenterology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | | | - Ajit H Goenka
- Department of Radiology, Mayo Clinic, 200 First Street SW, Charlton 1, Rochester, MN, 55905, USA.
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Imaging of Neuroendocrine Neoplasms: Monitoring Treatment Response—AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2022; 218:767-780. [DOI: 10.2214/ajr.21.27159] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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