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Shibutani T, Konishi T, Ichikawa H, Onoguchi M, Yoneyama H, Ito T, Okuda K, Nakajima K. Detectability of cold tumors by xSPECT bone technology compared with hot tumors: a supine phantom study. Phys Eng Sci Med 2024; 47:287-294. [PMID: 38117462 DOI: 10.1007/s13246-023-01364-y] [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: 04/14/2023] [Accepted: 11/28/2023] [Indexed: 12/21/2023]
Abstract
Detecting cold as well as hot tumors is vital for interpreting bone tumors on single-photon emission computed tomography (SPECT) images. This study aimed to visually and quantitatively demonstrate the detectability of cold tumors using xSPECT technology compared with that of hot tumors in the phantom study. Five tumors of different sizes and normal bone contained a mixture of 99mTc and K2HPO4 in a spine phantom. We acquired SPECT data using an xSPECT protocol and transverse images were reconstructed using xSPECT Bone (xB) and xSPECT Quant (xQ). Mean standardized uptake values (SUVmean) in volumes of interest (VOI) were calculated. Recovery coefficients (RCs) for each tumor site were calculated with reference to radioactive concentrations. The SUVmeans of the whole vertebral body for hot tumor bone image in cortical bone phantom reconstructed by with xB and xQ were 5.77 and 4.86 respectively. The SUVmean of xB was similar to the true value. The SUVmeans for xB and xQ reconstructed images of cold tumors were both approximately 0.16. The RC of the cold tumor on xQ images increased as the tumor diameter decreased, whereas that of xB remained almost constant regardless of the tumor diameter. In conclusion, the quantitative accuracy of detecting hot and cold tumors was higher in the xB image than in the xQ image. Moreover, the visual detectability of cold tumors was also excellent in xB images.
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Affiliation(s)
- Takayuki Shibutani
- Department of Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan.
| | - Takahiro Konishi
- Department of Radiological Technology, Kanazawa University Hospital, Kanazawa, Japan
| | - Hajime Ichikawa
- Department of Radiology, Toyohashi Municipal Hospital, Toyohashi, Japan
| | - Masahisa Onoguchi
- Department of Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | - Hiroto Yoneyama
- Department of Radiological Technology, Kanazawa University Hospital, Kanazawa, Japan
| | - Toshimune Ito
- Department of Radiological, Technology, Faculty of Medical Technology, Teikyo University, Tokyo, Japan
| | - Koichi Okuda
- Department of Radiation Science, Graduate School of Health Sciences, Hirosaki University, Hirosaki, Japan
| | - Kenichi Nakajima
- Department of Functional Imaging and Artificial Intelligence, Kanazawa University, Kanazawa, Japan
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Nakajima K, Shibutani T, Massanes F, Shimizu T, Yoshida S, Onoguchi M, Kinuya S, Vija AH. Myocardial perfusion imaging with retrospective gating and integrated correction of attenuation, scatter, respiration, motion, and arrhythmia. J Nucl Cardiol 2023; 30:2773-2789. [PMID: 37758961 PMCID: PMC10682219 DOI: 10.1007/s12350-023-03374-5] [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] [Accepted: 07/31/2023] [Indexed: 09/29/2023]
Abstract
BACKGROUND Absolute quantitative myocardial perfusion SPECT requires addressing of aleatory and epistemic uncertainties in conjunction with providing image quality sufficient for lesion detection and characterization. Iterative reconstruction methods enable the mitigation of the root causes of image degradation. This study aimed to determine the feasibility of a new SPECT/CT method with integrated corrections attempting to enable absolute quantitative cardiac imaging (xSPECT Cardiac; xSC). METHODS We compared images of prototype xSC and conventional SPECT (Flash3DTM) acquired at rest from 56 patients aged 71 ± 12 y with suspected coronary heart disease. The xSC prototype comprised list-mode acquisitions with continuous rotation and subsequent iterative reconstructions with retrospective electrocardiography (ECG) gating. Besides accurate image formation modeling, patient-specific CT-based attenuation and energy window-based scatter correction, additionally we applied mitigation for patient and organ motion between views (inter-view), and within views (intra-view) for both the gated and ungated reconstruction. We then assessed image quality, semiquantitative regional values, and left ventricular function in the images. RESULTS The quality of all xSC images was acceptable for clinical purposes. A polar map showed more uniform distribution for xSC compared with Flash3D, while lower apical count and higher defect contrast of myocardial infarction (p = 0.0004) were observed on xSC images. Wall motion, 16-gate volume curve, and ejection fraction were at least acceptable, with indication of improvements. The clinical prospectively gated method rejected beats ≥20% in 6 patients, whereas retrospective gating used an average of 98% beats, excluding 2% of beats. We used the list-mode data to create a product equivalent prospectively gated dataset. The dataset showed that the xSC method generated 18% higher count data and images with less noise, with comparable functional variables of volume and LVEF (p = ns). CONCLUSIONS Quantitative myocardial perfusion imaging with the list-mode-based prototype xSPECT Cardiac is feasible, resulting in images of at least acceptable image quality.
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Affiliation(s)
- Kenichi Nakajima
- Functional Imaging and Artificial Intelligence, Kanazawa University, Kanazawa, 920-8640, Japan.
| | - Takayuki Shibutani
- Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | - Francesc Massanes
- Siemens Medical Solutions USA, Inc. Molecular Imaging, Hoffman Estates, IL, USA
| | - Takeshi Shimizu
- Siemens Medical Solutions USA, Inc. Molecular Imaging, Hoffman Estates, IL, USA
| | - Shohei Yoshida
- Department of Cardiovascular Medicine, Kanazawa University Graduate School of Medical Science, Kanazawa, Japan
| | - Masahisa Onoguchi
- Quantum Medical Technology, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan
| | - Seigo Kinuya
- Department of Nuclear Medicine, Kanazawa University, Kanazawa, Japan
| | - A Hans Vija
- Siemens Medical Solutions USA, Inc. Molecular Imaging, Hoffman Estates, IL, USA
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Wang H, Qiu J, Xie J, Lu W, Pan Y, Ma J, Jia M. Radiomics‑Clinical model based on 99mTc-MDP SPECT/CT for distinguishing between bone metastasis and benign bone disease in tumor patients. J Cancer Res Clin Oncol 2023; 149:13353-13361. [PMID: 37491635 DOI: 10.1007/s00432-023-05162-7] [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: 06/05/2023] [Accepted: 07/09/2023] [Indexed: 07/27/2023]
Abstract
BACKGROUND To establish a radiomics-clinical model based on 99mTc-MDP SPECT/CT for distinguishing between bone metastasis and benign bone disease in tumor patients. METHODS We retrospectively analyzed 256 patients (122 with bone metastasis and 134 with benign bone disease) and randomized them in the ratio of 6:2:2 into training, test and validation sets. All patients underwent 99mTc-labeled methylene diphosphonate (99mTc-MDP) SPECT/CT. We manually outlined the volumes of interest (VOIs) of lesions using ITK-SNAP from SPECT and CT images. In the training set, radiomics features were extracted using PyRadiomics and selected using Least Absolute Shrinkage and Selection Operator (LASSO) regression. Then, we established three radiomics models (CT, SPECT and SPECT-CT models) using support vector machine (SVM). In addition, a radiomics-clinical model was constructed using multivariable logistic regression analysis. The four models' performance was assessed using the area under the receiver operating characteristic curve (AUC). Using DeLong test to make comparisons between the ROC (receiver operating characteristic) curves of different models. The clinical utility of the models was evaluated using decision curve analysis (DCA). RESULTS The radiomics-clinical displayed excellent performance, and its AUC was 0.941 and 0.879 in the training and test sets. The DCA of radiomics-clinical model showed the highest clinical utility. CONCLUSIONS The radiomics-clinical nomogram for identifying bone metastasis and benign bone disease in tumor patients was suitable to assist in clinical decision.
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Affiliation(s)
- Huili Wang
- College of Preventive Medicine & Institute of Radiation Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250012, China
| | - Jianfeng Qiu
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271016, China
| | - Jindong Xie
- College of Preventive Medicine & Institute of Radiation Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250012, China
| | - Weizhao Lu
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271016, China
| | - Yuteng Pan
- Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, 250000, China
| | - Junchi Ma
- School of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, 271016, China.
| | - Mingsheng Jia
- Department of Nuclear Medicine, The Second Affiliated Hospital of Shandong First Medical University, Taishan Street, No.706, Taian, 271000, China.
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Dickson JC, Armstrong IS, Gabiña PM, Denis-Bacelar AM, Krizsan AK, Gear JM, Van den Wyngaert T, de Geus-Oei LF, Herrmann K. EANM practice guideline for quantitative SPECT-CT. Eur J Nucl Med Mol Imaging 2023; 50:980-995. [PMID: 36469107 PMCID: PMC9931838 DOI: 10.1007/s00259-022-06028-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 10/30/2022] [Indexed: 12/12/2022]
Abstract
PURPOSE Quantitative SPECT-CT is a modality of growing importance with initial developments in post radionuclide therapy dosimetry, and more recent expansion into bone, cardiac and brain imaging together with the concept of theranostics more generally. The aim of this document is to provide guidelines for nuclear medicine departments setting up and developing their quantitative SPECT-CT service with guidance on protocols, harmonisation and clinical use cases. METHODS These practice guidelines were written by members of the European Association of Nuclear Medicine Physics, Dosimetry, Oncology and Bone committees representing the current major stakeholders in Quantitative SPECT-CT. The guidelines have also been reviewed and approved by all EANM committees and have been endorsed by the European Association of Nuclear Medicine. CONCLUSION The present practice guidelines will help practitioners, scientists and researchers perform high-quality quantitative SPECT-CT and will provide a framework for the continuing development of quantitative SPECT-CT as an established modality.
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Affiliation(s)
- John C Dickson
- Institute of Nuclear Medicine, University College London Hospitals Foundation Trust, London, UK
| | - Ian S Armstrong
- Nuclear Medicine, Manchester University NHS Foundation Trust, Manchester, UK
| | - Pablo Minguez Gabiña
- Department of Medical Physics and Radiation Protection, Gurutzeta-Cruces University Hospital/Biocruces Health Research Institute, Barakaldo, Spain
- Department of Applied Physics, Faculty of Engineering, UPV/EHU, Bilbao, Spain
| | | | | | - Jonathan M Gear
- Joint Department of Physics Institute of Cancer Research and Royal Marsden, NHS Foundation Trust, Sutton, Surrey, UK
| | - Tim Van den Wyngaert
- Department of Nuclear Medicine, Antwerp University Hospital, Edegem, Belgium
- Faculty of Medicine and Health Sciences (MICA - IPPON), , University of Antwerp, Wilrijk, Belgium
| | - Lioe-Fee de Geus-Oei
- Department of Radiology, Section of Nuclear Medicine, Leiden University Medical Center, Leiden, The Netherlands
- Biomedical Photonic Imaging Group, University of Twente, Enschede, The Netherlands
| | - Ken Herrmann
- Department of Nuclear Medicine, University of Duisburg-Essen, and German Cancer Consortium (DKTK)-University Hospital Essen, Essen, Germany.
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Ritt P. Recent Developments in SPECT/CT. Semin Nucl Med 2022; 52:276-285. [DOI: 10.1053/j.semnuclmed.2022.01.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 01/18/2022] [Accepted: 01/18/2022] [Indexed: 01/31/2023]
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Konishi T. [[SPECT] 4. Introductions of SPECT Reconstruction Algorithm Using the Conjugated Gradient Method and Metal Artifact Reduction Technologies in the Latest SPECT System]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2022; 78:895-901. [PMID: 35989260 DOI: 10.6009/jjrt.2022-2075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
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Comparison between planar and single-photon computed tomography images for radiation intensity quantification in iodine-131 scintigraphy. Sci Rep 2021; 11:21858. [PMID: 34750482 PMCID: PMC8576011 DOI: 10.1038/s41598-021-01432-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 10/25/2021] [Indexed: 11/23/2022] Open
Abstract
This study aimed to evaluate the feasibility of quantifying iodine-131 (131I) accumulation in scintigraphy images and compare planar and single-photon emission computed tomography (SPECT) images to estimate 131I radioactivity in patients receiving radioactive iodine therapy for thyroid cancer. We evaluated 72 sets of planar and SPECT images acquired between February 2017 and December 2018. Simultaneously, we placed a reference 131I capsule next to the patient during image acquisition. We evaluated the correlation between the intensity of the capsule in the images and the capsule dose and estimated the radiation dose at the thyroid bed. The mean capsule dose was 2.14 MBq (range, 0.63–4.31 MBq). The correlation coefficients (p-value) between capsule dose and maximum and mean intensities in both planar and SPECT images were 0.93 (p < 0.01), 0.96 (p < 0.01), 0.60 (p < 0.01), and 0.47 (p < 0.01), respectively. The mean intensities of planar images show the highest correlation coefficients. Based on a regression equation, the average radiation dose in the thyroid bed was 5.9 MBq. In conclusion, planar images reflected the radiation dose more accurately than SPECT images. The regression equation allows to determine the dose in other regions, such as the thyroid bed or sites of distant metastasis.
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A Prospective Comparative Study of Using Ultrasonography, 4D-CT and Parathyroid Dual-Phase Scintigraphy with SPECT in Patients with Primary Hyperparathyroidism. Diagnostics (Basel) 2021; 11:diagnostics11112006. [PMID: 34829354 PMCID: PMC8618687 DOI: 10.3390/diagnostics11112006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 10/23/2021] [Accepted: 10/26/2021] [Indexed: 11/18/2022] Open
Abstract
Thirty-one consecutive patients were included in this study who were planned for parathyroidectomy due to primary hyperparathyroidism. They were studied with US, 4D-CT and dual-phase scintigraphy including SPECT/CT, and possible adenomas were identified in each imaging modality. Imaging data were quantified with US, CT and SPECT. Parathyroidectomies were performed as minimally invasive according to preoperative imaging findings. A total of 16 adenomas were found in 15 patients, and the surgery was negative in four patients. The imaging results were compared with each other and correlated to histology findings and blood biochemistry (S-Ca and P-PTH). Quantitative SPECT found a strong correlation between the quantification methods—Conjugate Gradient with Attenuation and Scatter Correction with a zone map (CGZAS) and Conjugate Gradient with Attenuation and Scatter Correction (CGAS)—measured as SUVmax and kBq/mL. However, a statistically significant correlation between the quantitative parameters (CGZAS and CGAS) and serum biomarkers (S-PTH and S-Ca) was not observed. The sensitivities of the imaging methods were calculated using histopathology as a gold standard. SPECT/CT demonstrated 93% sensitivity, 4D-CT 93% sensitivity and ultrasonography 73% sensitivity. The imaging methods were compared with each other using parathyroid regions because findings and locations varied between the modalities. Our prospective study supports that quantitative SPECT/CT is useful for presurgical assessment of primary hyperparathyroidism.
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Tsuchitani T, Kitajima K, Takahashi Y, Kotoura N. Quantitative evaluation of single-photon emission computed tomography findings in lower extremity possible without computed tomography-based attenuation correction. Nucl Med Commun 2021; 42:1097-1103. [PMID: 34528929 DOI: 10.1097/mnm.0000000000001440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE For performing accurate quantitative analysis of single-photon emission computed tomography (SPECT)/computed tomography (CT) images, CT-based attenuation correction (CTAC) is considered to be necessary. However, the effect on quantitative values for an examined area close to the body surface, such as in the lower extremity, has yet to be elucidated. We performed the present investigation to determine the possibility of quantitative evaluation using a SPECT standalone device without CT. METHODS Validation was performed using clinical data of patients who underwent a lower extremity SPECT/CT examination, with grouping based on presence or absence of CTAC, scatter correction and resolution recovery. Using a reference group in which all types of correction were applied, standardized uptake values (SUVs), including maximum (SUVmax) and peak (SUVpeak), were examined in each group and compared. RESULTS As compared to the reference group, the difference in quantitative values became smaller in the order of the applied scatter correction and resolution recovery, applied resolution recovery, applied scatter correction, and neither scatter correction or resolution recovery applied groups, with no significant difference between the reference group and that with neither scatter correction or resolution recovery applied. A similar tendency was seen for both SUVmax and SUVpeak. CONCLUSIONS In bone SPECT quantitative examinations of the lower extremity, quantitative evaluation without CTAC is possible without the use of scatter correction or resolution recovery. Thus, quantitative evaluation can be performed with use of a standalone SPECT device without CT.
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Affiliation(s)
- Tatsuya Tsuchitani
- Department of Radiological Technology, Hyogo College of Medicine College Hospital
| | - Kazuhiro Kitajima
- Division of Nuclear Medicine and PET Center, Department of Radiology, Hyogo College of Medicine, Nishinomiya, Hyogo, Japan
| | - Yoshiyuki Takahashi
- Department of Radiological Technology, Hyogo College of Medicine College Hospital
| | - Noriko Kotoura
- Department of Radiological Technology, Hyogo College of Medicine College Hospital
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Braun M, Cachovan M, Kaul F, Caobelli F, Bäumer M, Hans Vija A, Pagenstert G, Wild D, Kretzschmar M. Accuracy comparison of various quantitative [ 99mTc]Tc-DPD SPECT/CT reconstruction techniques in patients with symptomatic hip and knee joint prostheses. EJNMMI Res 2021; 11:60. [PMID: 34128128 PMCID: PMC8203767 DOI: 10.1186/s13550-021-00794-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Accepted: 05/25/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND There is a need for better diagnostic tools that identify loose total hip and knee arthroplasties. Here, we present the accuracy of different 99mTc-dicarboxypropandiphosphate ([99mTc]Tc-DPD) SPECT/CT quantification tools for the detection of loose prostheses in patients with painful hip and knee arthroplasties. METHODS Quantitative reconstruction of mineral phase SPECT data was performed using Siemens xSPECT-Quant and xSPECT-Bone, with and without metal artefact reduction (iMAR) of CT-data. Quantitative data (SUVmax values) were compared to intraoperative diagnosis or clinical outcome after at least 1 year as standard of comparison. Cut-off values and accuracies were calculated using receiver operator characteristics. Accuracy of uptake quantification was compared to the accuracy of visual SPECT/CT readings, blinded for the quantitative data and clinical outcome. RESULTS In this prospective study, 30 consecutive patients with 33 symptomatic hip and knee prostheses underwent [99mTc]Tc-DPD SPECT/CT. Ten arthroplasties were diagnosed loose and 23 stable. Mean-SUVmax was significantly higher around loose prostheses compared to stable prostheses, regardless of the quantification method (P = 0.0025-0.0001). Quantification with xSPECT-Bone-iMAR showed the highest accuracy (93.9% [95% CI 79.6-100%]) which was significantly higher compared to xSPECT-Quant-iMAR (81.8% [67.5-96.1%], P = 0.04) and xSPECT-Quant without iMAR (77.4% [62.4-92.4%], P = 0.02). Accuracies of clinical reading were non-significantly lower compared to quantitative measures (84.8% [70.6-99.1%] (senior) and 81.5% [67.5-96.1%] (trainee)). CONCLUSION Quantification with [99mTc]Tc-DPD xSPECT-Bone-iMAR discriminates best between loose and stable prostheses of all evaluated methods. The overall high accuracy of different quantitative measures underlines the potential of [99mTc]Tc-DPD-quantification as a biomarker and demands further prospective evaluation in a larger number of prosthesis.
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Affiliation(s)
- Martin Braun
- Division of Nuclear Medicine, University Hospital Basel, Basel, Switzerland
| | - Michal Cachovan
- Siemens Healthcare GmbH, Molecular Imaging, Forchheim, Germany
| | - Felix Kaul
- Division of Nuclear Medicine, University Hospital Basel, Basel, Switzerland
| | - Federico Caobelli
- Division of Nuclear Medicine, University Hospital Basel, Basel, Switzerland
| | - Markus Bäumer
- Division of Nuclear Medicine, University Hospital Basel, Basel, Switzerland
| | - A. Hans Vija
- Siemens Medical Solutions USA, Inc., Molecular Imaging, Hoffman Estates, USA
| | - Geert Pagenstert
- Department of Orthopedic Surgery, University Hospital Basel, Basel, Switzerland
| | - Damian Wild
- Division of Nuclear Medicine, University Hospital Basel, Basel, Switzerland
| | - Martin Kretzschmar
- Division of Nuclear Medicine, University Hospital Basel, Basel, Switzerland
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Konishi K, Ishiba R, Ikenohira T, Asao T, Hirata M, Ohira K, Komatsu T, Sawada M, Tanahashi Y, Goshima S, Magata Y, Nakamura K. The relationship between the quantitative evaluation of thyroid bed uptake and the disappearance of accumulation in adjuvant radioactive iodine therapy for differentiated thyroid cancer. Ann Nucl Med 2021; 35:159-166. [PMID: 33387279 DOI: 10.1007/s12149-020-01546-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 10/25/2020] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Iodine-131 (I-131) radioactive iodine therapy (RAI) after total thyroidectomy is the standard treatment for patients with differentiated thyroid cancer (DTC). We investigated the relationship between the quantitative parameters of the iodine uptake and the disappearance of the accumulation in the thyroid bed in adjuvant therapy using a 1.11 GBq or 3.70 GBq dose of I-131. METHODS We retrospectively analyzed the cases of 40 patients with DTC who were treated with RAI at our institution between April 2017 and August 2019. The patients were treated with the I-131 dose of 1.11 GBq (n = 25) or 3.70 GBq (n = 15) after total thyroidectomy. The I-131 whole-body scan and hybrid single-photon emission computed tomography/X-ray computed tomography (SPECT/CT) were performed 3 days after RAI. Using image analysis software, we measured the standardized uptake value (SUV) and absolute radioactivity concentration (kBq/ml) on the target lesions with the highest uptake in the thyroid bed. RESULTS The median period from RAI to the evaluation of the absence of uptake of the thyroid bed was 6.75 months. After RAI, uptake of the thyroid bed disappeared in 26 of the 40 patients. The disappearance rate was significantly higher in the 3.70 GBq group than in the 1.11 GBq group (86.7% vs. 52.0%, respectively; p = 0.029). However, there were no significant differences in the values of kBq/ml or SUV between the 1.11 GBq group and 3.70 GBq group. On the other hand, the group in which the uptake disappeared after RAI showed significantly higher kBq/ml max and kBq/ml mean values than the group in which the uptake did not disappear after RAI (p = 0.028, p = 0.032, respectively). The SUVmax and SUVmean also tended to be higher in the disappeared-uptake group than the not-disappeared-uptake group, but the differences were not significant (p = 0.166, p = 0.176, respectively). CONCLUSIONS The quantitative evaluation might be useful as one of the predictive indicators of the disappearance of the accumulation of radioactive iodine in the thyroid bed.
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Affiliation(s)
- Kenta Konishi
- Department of Radiation Oncology, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-ku, Hamamatsu-shi, Shizuoka, Japan.
| | - Ryo Ishiba
- Department of Radiation Oncology, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-ku, Hamamatsu-shi, Shizuoka, Japan
| | - Tsutomu Ikenohira
- Department of Radiation Oncology, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-ku, Hamamatsu-shi, Shizuoka, Japan
| | - Tomoyuki Asao
- Department of Radiation Oncology, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-ku, Hamamatsu-shi, Shizuoka, Japan
| | - Masanori Hirata
- Department of Radiation Oncology, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-ku, Hamamatsu-shi, Shizuoka, Japan
| | - Keiichi Ohira
- Department of Radiation Oncology, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-ku, Hamamatsu-shi, Shizuoka, Japan
| | - Tetsuya Komatsu
- Department of Radiation Oncology, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-ku, Hamamatsu-shi, Shizuoka, Japan
| | - Michifumi Sawada
- Department of Radiology, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-ku, Hamamatsu-shi, Shizuoka, Japan
| | - Yukichi Tanahashi
- Department of Diagnostic Radiology and Nuclear Medicine, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-ku, Hamamatsu-shi, Shizuoka, Japan
| | - Satoshi Goshima
- Department of Diagnostic Radiology and Nuclear Medicine, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-ku, Hamamatsu-shi, Shizuoka, Japan
| | - Yasuhiro Magata
- Preeminent Medical Photonics Education and Research Center, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-ku, Hamamatsu-shi, Shizuoka, Japan
| | - Katsumasa Nakamura
- Department of Radiation Oncology, Hamamatsu University School of Medicine, 1-20-1, Handayama, Higashi-ku, Hamamatsu-shi, Shizuoka, Japan
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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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De Schepper S, Ritt P, Van den Wyngaert T, Kuwert T. Quantitative radionuclide imaging of bone metastases. 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 2019; 63:129-135. [DOI: 10.23736/s1824-4785.19.03204-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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