Background: Labeled antibodies are excellent imaging agents in oncology to non-invasively visualize cancer-related antigens expression levels. However, tumor tracer uptake (TTU) of specific antibodies in-vivo may be inferior to non-specific IgG in some cases.
Objectives: To explore factors affecting labeled antibody visualization by PD-L1 specific and non-specific imaging of nude mouse tumors.
Methods: TTU was observed in RKO model on Cerenkov luminescence (CL) and near-infrared fluorescence (NIRF) imaging of radionuclide 131I or NIRF dyes labeled Atezolizumab and IgG. A mixture of NIRF dyes labeled Atezolizumab and 131I-labeled IgG was injected, and TTU was observed in the RKO and HCT8 model by NIRF/CL dual-modality in-situ imaging. TTU were observed by 131I-labeled Atezolizumab and IgG in-vitro distribution.
Results: Labeled IgG concentrated more in tumors than Atezolizumab. NIRF/CL imaging in 24 to 168 h showed that TTU gradually decreased over time, which decreased more slowly on CL imaging compared to NIRF imaging. The distribution data in-vitro showed that TTU of 131I-labeled IgG was higher than that of 131I-labeled Atezolizumab at any time point.
Conclusion: Non-specific IgG may not be suitable as a control for Atezolizumab in comparing tumor PD-L1 expression in nude mice via labeled antibody optical imaging under certain circumstances.
{"title":"Comparison of Tumor Non-specific and PD-L1 Specific Imaging by Near-Infrared Fluorescence/Cerenkov Luminescence Dual-Modality In-situ Imaging.","authors":"Linhan Zhang, Lianmeng Zhao, Xue Lin, Sheng Zhao, Wenbin Pan, Dandan Wang, Zhongqi Sun, Jinping Li, Zonghui Liang, Rongjun Zhang, Huijie Jiang","doi":"10.1177/15353508241261473","DOIUrl":"10.1177/15353508241261473","url":null,"abstract":"<p><strong>Background: </strong>Labeled antibodies are excellent imaging agents in oncology to non-invasively visualize cancer-related antigens expression levels. However, tumor tracer uptake (TTU) of specific antibodies in-vivo may be inferior to non-specific IgG in some cases.</p><p><strong>Objectives: </strong>To explore factors affecting labeled antibody visualization by PD-L1 specific and non-specific imaging of nude mouse tumors.</p><p><strong>Methods: </strong>TTU was observed in RKO model on Cerenkov luminescence (CL) and near-infrared fluorescence (NIRF) imaging of radionuclide <sup>131</sup>I or NIRF dyes labeled Atezolizumab and IgG. A mixture of NIRF dyes labeled Atezolizumab and <sup>131</sup>I-labeled IgG was injected, and TTU was observed in the RKO and HCT8 model by NIRF/CL dual-modality in-situ imaging. TTU were observed by <sup>131</sup>I-labeled Atezolizumab and IgG in-vitro distribution.</p><p><strong>Results: </strong>Labeled IgG concentrated more in tumors than Atezolizumab. NIRF/CL imaging in 24 to 168 h showed that TTU gradually decreased over time, which decreased more slowly on CL imaging compared to NIRF imaging. The distribution data in-vitro showed that TTU of <sup>131</sup>I-labeled IgG was higher than that of <sup>131</sup>I-labeled Atezolizumab at any time point.</p><p><strong>Conclusion: </strong>Non-specific IgG may not be suitable as a control for Atezolizumab in comparing tumor PD-L1 expression in nude mice via labeled antibody optical imaging under certain circumstances.</p>","PeriodicalId":18855,"journal":{"name":"Molecular Imaging","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11208884/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141476980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-11eCollection Date: 2024-01-01DOI: 10.1177/15353508241261583
Jing Li, Jingtao Sun, Ning Wang, Yan Zhang
Objective: To investigate the performance of diffusion-tensor imaging (DTI) and hydrogen proton magnetic resonance spectroscopy (1H-MRS) parameters in predicting the immunohistochemistry (IHC) biomarkers of glioma.
Methods: Patients with glioma confirmed by pathology from March 2015 to September 2019 were analyzed, the preoperative DTI and 1H-MRS images were collected, apparent diffusion coefficient (ADC) and fractional anisotropy (FA), in the lesion area were measured, the relative values relative ADC (rADC) and relative FA (rFA) were obtained by the ratio of them in the lesion area to the contralateral normal area. The peak of each metabolite in the lesion area of 1H-MRS image: N-acetylaspartate (NAA), choline (Cho), and creatine (Cr), and metabolite ratio: NAA/Cho, NAA/(Cho + Cr) were selected and calculated. The preoperative IHC data were collected including CD34, Ki-67, p53, S-100, syn, vimentin, NeuN, Nestin, and glial fibrillary acidic protein.
Results: One predicting parameter of DTI was screened, the rADC of the Ki-67 positive group was lower than that of the negative group. Two parameters of 1H-MRS were found to have significant reference values for glioma grades, the NAA and Cr decreased as the grade of glioma increased, moreover, Ki-67 Li was negatively correlated with NAA and Cr.
Conclusion: NAA and Cr have potential application value in predicting glioma grades and tumor proliferation activity. Only rADC has predictive value for Ki-67 expression among DTI parameters.
{"title":"Study on the Relationship Between MRI Functional Imaging and Multiple Immunohistochemical Features of Glioma: A Noninvasive and More Precise Glioma Management.","authors":"Jing Li, Jingtao Sun, Ning Wang, Yan Zhang","doi":"10.1177/15353508241261583","DOIUrl":"10.1177/15353508241261583","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the performance of diffusion-tensor imaging (DTI) and hydrogen proton magnetic resonance spectroscopy (<sup>1</sup>H-MRS) parameters in predicting the immunohistochemistry (IHC) biomarkers of glioma.</p><p><strong>Methods: </strong>Patients with glioma confirmed by pathology from March 2015 to September 2019 were analyzed, the preoperative DTI and <sup>1</sup>H-MRS images were collected, apparent diffusion coefficient (ADC) and fractional anisotropy (FA), in the lesion area were measured, the relative values relative ADC (rADC) and relative FA (rFA) were obtained by the ratio of them in the lesion area to the contralateral normal area. The peak of each metabolite in the lesion area of <sup>1</sup>H-MRS image: N-acetylaspartate (NAA), choline (Cho), and creatine (Cr), and metabolite ratio: NAA/Cho, NAA/(Cho + Cr) were selected and calculated. The preoperative IHC data were collected including CD34, Ki-67, p53, S-100, syn, vimentin, NeuN, Nestin, and glial fibrillary acidic protein.</p><p><strong>Results: </strong>One predicting parameter of DTI was screened, the rADC of the Ki-67 positive group was lower than that of the negative group. Two parameters of <sup>1</sup>H-MRS were found to have significant reference values for glioma grades, the NAA and Cr decreased as the grade of glioma increased, moreover, Ki-67 Li was negatively correlated with NAA and Cr.</p><p><strong>Conclusion: </strong>NAA and Cr have potential application value in predicting glioma grades and tumor proliferation activity. Only rADC has predictive value for Ki-67 expression among DTI parameters.</p>","PeriodicalId":18855,"journal":{"name":"Molecular Imaging","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11208885/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141476982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chimeric antigen receptor (CAR)-T cell-based immunotherapy has emerged as a path-breaking strategy for certain hematological malignancies. Assessment of the response to CAR-T therapy using quantitative imaging techniques such as positron emission tomography/computed tomography (PET/CT) has been broadly investigated. However, the definitive role of PET/CT in CAR-T therapy remains to be established. [18F]FDG PET/CT has demonstrated high sensitivity and specificity for differentiating patients with a partial and complete response after CAR-T therapy in lymphoma. The early therapeutic response and immune-related adverse effects such as cytokine release syndrome and immune effector cell-associated neurotoxicity syndrome can also be detected on [18F]FDG PET images. In otherwise asymptomatic lymphoma patients with partial response following CAR-T therapy, the only positive findings could be abnormal PET/CT results. In multiple myeloma, a negative [18F]FDG PET/CT after receiving B-cell maturation antigen-directed CAR-T therapy has been associated with a favorable prognosis. In leukemia, [18F]FDG PET/CT can detect extramedullary metastases and treatment responses after therapy. Hence, PET/CT is a valuable imaging tool for patients undergoing CAR-T therapy for pretreatment evaluation, monitoring treatment response, assessing safety, and guiding therapeutic strategies. Developing guidelines with standardized cutoff values for various PET parameters and tumor cell-specific tracers may improve the efficacy and safety of CAR-T therapy.
基于嵌合抗原受体(CAR)-T 细胞的免疫疗法已成为治疗某些血液恶性肿瘤的突破性策略。利用正电子发射断层扫描/计算机断层扫描(PET/CT)等定量成像技术评估 CAR-T 疗法的反应已得到广泛研究。然而,PET/CT 在 CAR-T 疗法中的确切作用仍有待确定。[18F]FDG正电子发射断层扫描/计算机断层扫描(PET/CT)在区分淋巴瘤 CAR-T 治疗后部分反应和完全反应患者方面具有很高的灵敏度和特异性。早期治疗反应和免疫相关不良反应,如细胞因子释放综合征和免疫效应细胞相关神经毒性综合征,也可通过[18F]FDG PET 图像检测出来。在接受 CAR-T 治疗后出现部分反应的无症状淋巴瘤患者中,唯一的阳性结果可能是 PET/CT 结果异常。在多发性骨髓瘤中,接受 B 细胞成熟抗原导向 CAR-T 治疗后,[18F]FDG PET/CT 阴性与预后良好有关。在白血病中,[18F]FDG PET/CT 可以检测髓外转移和治疗后的治疗反应。因此,PET/CT 是接受 CAR-T 疗法的患者进行预处理评估、监测治疗反应、评估安全性和指导治疗策略的重要成像工具。为各种 PET 参数和肿瘤细胞特异性示踪剂制定标准化临界值的指南可提高 CAR-T 疗法的疗效和安全性。
{"title":"PET/CT in the Evaluation of CAR-T Cell Immunotherapy in Hematological Malignancies.","authors":"Shashi B Singh, Sadikshya Bhandari, Shisir Siwakoti, Manoj Kumar, Rajshree Singh, Subarna Bhusal, Karuna Sharma, Samikshya Bhandari, Kishor Khanal","doi":"10.1177/15353508241257924","DOIUrl":"10.1177/15353508241257924","url":null,"abstract":"<p><p>Chimeric antigen receptor (CAR)-T cell-based immunotherapy has emerged as a path-breaking strategy for certain hematological malignancies. Assessment of the response to CAR-T therapy using quantitative imaging techniques such as positron emission tomography/computed tomography (PET/CT) has been broadly investigated. However, the definitive role of PET/CT in CAR-T therapy remains to be established. [<sup>18</sup>F]FDG PET/CT has demonstrated high sensitivity and specificity for differentiating patients with a partial and complete response after CAR-T therapy in lymphoma. The early therapeutic response and immune-related adverse effects such as cytokine release syndrome and immune effector cell-associated neurotoxicity syndrome can also be detected on [<sup>18</sup>F]FDG PET images. In otherwise asymptomatic lymphoma patients with partial response following CAR-T therapy, the only positive findings could be abnormal PET/CT results. In multiple myeloma, a negative [<sup>18</sup>F]FDG PET/CT after receiving B-cell maturation antigen-directed CAR-T therapy has been associated with a favorable prognosis. In leukemia, [<sup>18</sup>F]FDG PET/CT can detect extramedullary metastases and treatment responses after therapy. Hence, PET/CT is a valuable imaging tool for patients undergoing CAR-T therapy for pretreatment evaluation, monitoring treatment response, assessing safety, and guiding therapeutic strategies. Developing guidelines with standardized cutoff values for various PET parameters and tumor cell-specific tracers may improve the efficacy and safety of CAR-T therapy.</p>","PeriodicalId":18855,"journal":{"name":"Molecular Imaging","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11208886/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141476981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-30eCollection Date: 2024-01-01DOI: 10.1177/15353508241245265
Stephen J Archibald, Jason P Holland, Aruna Korde, Andre F Martins, Adam J Shuhendler, Peter J H Scott
This meeting report summarizes a consultants meeting that was held at International Atomic Energy Agency Headquarters, Vienna, in July 2022 to provide an update on the development of multimodality imaging by combining nuclear medicine imaging agents with other nonradioactive molecular probes and/or biomedical imaging techniques.
{"title":"Combining Nuclear Medicine With Other Modalities: Future Prospect for Multimodality Imaging.","authors":"Stephen J Archibald, Jason P Holland, Aruna Korde, Andre F Martins, Adam J Shuhendler, Peter J H Scott","doi":"10.1177/15353508241245265","DOIUrl":"10.1177/15353508241245265","url":null,"abstract":"<p><p>This meeting report summarizes a consultants meeting that was held at International Atomic Energy Agency Headquarters, Vienna, in July 2022 to provide an update on the development of multimodality imaging by combining nuclear medicine imaging agents with other nonradioactive molecular probes and/or biomedical imaging techniques.</p>","PeriodicalId":18855,"journal":{"name":"Molecular Imaging","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11208883/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141476979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jia Yang, Min Yan, Zhong Wang, Cong Zhang, Miao Guan, Zhenglong Sun
Stem cell therapy has shown great clinical potential in oncology, injury, inflammation, and cardiovascular disease. However, due to the technical limitations of the in vivo visualization of transplanted stem cells, the therapeutic mechanisms and biosafety of stem cells in vivo are poorly defined, which limits the speed of clinical translation. The commonly used methods for the in vivo tracing of stem cells currently include optical imaging, magnetic resonance imaging (MRI), and nuclear medicine imaging. However, nuclear medicine imaging involves radioactive materials, MRI has low resolution at the cellular level, and optical imaging has poor tissue penetration in vivo. It is difficult for a single imaging method to simultaneously achieve the high penetration, high resolution, and noninvasiveness needed for in vivo imaging. However, multimodal imaging combines the advantages of different imaging modalities to determine the fate of stem cells in vivo in a multidimensional way. This review provides an overview of various multimodal imaging technologies and labeling methods commonly used for tracing stem cells, including optical imaging, MRI, and the combination of the two, while explaining the principles involved, comparing the advantages and disadvantages of different combination schemes, and discussing the challenges and prospects of human stem cell tracking techniques.
{"title":"Optical and MRI Multimodal Tracing of Stem Cells In Vivo","authors":"Jia Yang, Min Yan, Zhong Wang, Cong Zhang, Miao Guan, Zhenglong Sun","doi":"10.1155/2023/4223485","DOIUrl":"https://doi.org/10.1155/2023/4223485","url":null,"abstract":"Stem cell therapy has shown great clinical potential in oncology, injury, inflammation, and cardiovascular disease. However, due to the technical limitations of the in vivo visualization of transplanted stem cells, the therapeutic mechanisms and biosafety of stem cells in vivo are poorly defined, which limits the speed of clinical translation. The commonly used methods for the in vivo tracing of stem cells currently include optical imaging, magnetic resonance imaging (MRI), and nuclear medicine imaging. However, nuclear medicine imaging involves radioactive materials, MRI has low resolution at the cellular level, and optical imaging has poor tissue penetration in vivo. It is difficult for a single imaging method to simultaneously achieve the high penetration, high resolution, and noninvasiveness needed for in vivo imaging. However, multimodal imaging combines the advantages of different imaging modalities to determine the fate of stem cells in vivo in a multidimensional way. This review provides an overview of various multimodal imaging technologies and labeling methods commonly used for tracing stem cells, including optical imaging, MRI, and the combination of the two, while explaining the principles involved, comparing the advantages and disadvantages of different combination schemes, and discussing the challenges and prospects of human stem cell tracking techniques.","PeriodicalId":18855,"journal":{"name":"Molecular Imaging","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138744282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jing Peng, Qiyu Liu, Tao Pu, Mingxing Zhang, Meng Zhang, Ming Du, Guiling Li, Xiaoyan Zhang, Congjian Xu
Objective. In this study, we utilized gonadotropin-releasing hormone analogue-modified indocyanine green (GnRHa-ICG) to improve the accuracy of intraoperative recognition and resection of endometriotic lesions. Methods. Gonadotropin-releasing hormone receptor (GnRHR) expression was detected in endometriosis tissues and cell lines via immunohistochemistry and western blotting. The in vitro binding capacities of GnRHa, GnRHa-ICG, and ICG were determined using fluorescence microscopy and flow cytometry. In vivo imaging was performed in mouse models of endometriosis using a near-infrared fluorescence (NIRF) imaging system and fluorescence navigation system. The ex vivo binding capacity was determined using confocal fluorescence microscopy. Results. GnRHa-ICG exhibited a significantly stronger binding capacity to endometriotic cells and tissues than ICG. In mice with endometriosis, GnRHa-ICG specifically imaged endometriotic tissues (EMTs) after intraperitoneal administration, whereas ICG exhibited signals in the intestine. GnRHa-ICG showed the highest fluorescence signals in the EMTs at 2 h and a good signal-to-noise ratio at 48 h postadministration. Compared with traditional surgery under white light, targeted NIRF imaging-guided surgery completely resected endometriotic lesions with a sensitivity of 97.3% and specificity of 77.8%. No obvious toxicity was observed in routine blood tests, serum biochemicals, or histopathology in mice. Conclusions. GnRHa-ICG specifically recognized and localized endometriotic lesions and guided complete resection of lesions with high accuracy.
{"title":"Targeted Imaging of Endometriosis and Image-Guided Resection of Lesions Using Gonadotropin-Releasing Hormone Analogue-Modified Indocyanine Green","authors":"Jing Peng, Qiyu Liu, Tao Pu, Mingxing Zhang, Meng Zhang, Ming Du, Guiling Li, Xiaoyan Zhang, Congjian Xu","doi":"10.1155/2023/6674054","DOIUrl":"https://doi.org/10.1155/2023/6674054","url":null,"abstract":"<i>Objective</i>. In this study, we utilized gonadotropin-releasing hormone analogue-modified indocyanine green (GnRHa-ICG) to improve the accuracy of intraoperative recognition and resection of endometriotic lesions. <i>Methods</i>. Gonadotropin-releasing hormone receptor (GnRHR) expression was detected in endometriosis tissues and cell lines via immunohistochemistry and western blotting. The in vitro binding capacities of GnRHa, GnRHa-ICG, and ICG were determined using fluorescence microscopy and flow cytometry. In vivo imaging was performed in mouse models of endometriosis using a near-infrared fluorescence (NIRF) imaging system and fluorescence navigation system. The ex vivo binding capacity was determined using confocal fluorescence microscopy. <i>Results</i>. GnRHa-ICG exhibited a significantly stronger binding capacity to endometriotic cells and tissues than ICG. In mice with endometriosis, GnRHa-ICG specifically imaged endometriotic tissues (EMTs) after intraperitoneal administration, whereas ICG exhibited signals in the intestine. GnRHa-ICG showed the highest fluorescence signals in the EMTs at 2 h and a good signal-to-noise ratio at 48 h postadministration. Compared with traditional surgery under white light, targeted NIRF imaging-guided surgery completely resected endometriotic lesions with a sensitivity of 97.3% and specificity of 77.8%. No obvious toxicity was observed in routine blood tests, serum biochemicals, or histopathology in mice. <i>Conclusions</i>. GnRHa-ICG specifically recognized and localized endometriotic lesions and guided complete resection of lesions with high accuracy.","PeriodicalId":18855,"journal":{"name":"Molecular Imaging","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138506377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-08eCollection Date: 2023-01-01DOI: 10.1155/2023/8826977
Kimberly L Desmond, Anton Lindberg, Armando Garcia, Junchao Tong, Michael B Harkness, Elena Dobrota, Kelly Smart, Carme Uribe, Jeffrey H Meyer, Sylvain Houle, Antonio P Strafella, Songye Li, Yiyun Huang, Neil Vasdev
[18F]SynVesT-1 is a PET radiopharmaceutical that binds to the synaptic vesicle protein 2A (SV2A) and serves as a biomarker of synaptic density with widespread clinical research applications in psychiatry and neurodegeneration. The initial goal of this study was to concurrently conduct PET imaging studies with [18F]SynVesT-1 at our laboratories. However, the data in the first two human PET studies had anomalous biodistribution despite the injected product meeting all specifications during the prerelease quality control protocols. Further investigation, including imaging in rats as well as proton and carbon 2D-NMR spectroscopic studies, led to the discovery that a derivative of the precursor had been received from the manufacturer. Hence, we report our investigation and the first-in-human study of [18F]SDM-4MP3, a structural variant of [18F]SynVesT-1, which does not have the requisite characteristics as a PET radiopharmaceutical for imaging SV2A in the central nervous system.
{"title":"First-in-Human PET Imaging of [<sup>18</sup>F]SDM-4MP3: A Cautionary Tale.","authors":"Kimberly L Desmond, Anton Lindberg, Armando Garcia, Junchao Tong, Michael B Harkness, Elena Dobrota, Kelly Smart, Carme Uribe, Jeffrey H Meyer, Sylvain Houle, Antonio P Strafella, Songye Li, Yiyun Huang, Neil Vasdev","doi":"10.1155/2023/8826977","DOIUrl":"10.1155/2023/8826977","url":null,"abstract":"<p><p>[<sup>18</sup>F]SynVesT-1 is a PET radiopharmaceutical that binds to the synaptic vesicle protein 2A (SV2A) and serves as a biomarker of synaptic density with widespread clinical research applications in psychiatry and neurodegeneration. The initial goal of this study was to concurrently conduct PET imaging studies with [<sup>18</sup>F]SynVesT-1 at our laboratories. However, the data in the first two human PET studies had anomalous biodistribution despite the injected product meeting all specifications during the prerelease quality control protocols. Further investigation, including imaging in rats as well as proton and carbon 2D-NMR spectroscopic studies, led to the discovery that a derivative of the precursor had been received from the manufacturer. Hence, we report our investigation and the first-in-human study of [<sup>18</sup>F]SDM-4MP3, a structural variant of [<sup>18</sup>F]SynVesT-1, which does not have the requisite characteristics as a PET radiopharmaceutical for imaging SV2A in the central nervous system.</p>","PeriodicalId":18855,"journal":{"name":"Molecular Imaging","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2023-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504053/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10306687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-19eCollection Date: 2023-01-01DOI: 10.1155/2023/5864391
Ayaan M Jamali, Manasa Kethamreddy, Brian J Burkett, John D Port, Mukesh K Pandey
Amyotrophic lateral sclerosis (ALS) is a disease leading to progressive motor degeneration and ultimately death. It is a complex disease that can take a significantly long time to be diagnosed, as other similar pathological conditions must be ruled out for a definite diagnosis of ALS. Noninvasive imaging of ALS has shed light on disease pathology and altered biochemistry in the ALS brain. Other than magnetic resonance imaging (MRI), two types of functional imaging, positron emission tomography (PET) and single photon emission computed tomography (SPECT), have provided valuable data about what happens in the brain of ALS patients compared to healthy controls. PET imaging has revealed a specific pattern of brain metabolism through [18F]FDG, while other radiotracers have uncovered neuroinflammation, changes in neuronal density, and protein aggregation. SPECT imaging has shown a general decrease in regional cerebral blood flow (rCBF) in ALS patients. This educational review summarizes the current state of ALS imaging with various PET and SPECT radiopharmaceuticals to better understand the pathophysiology of ALS.
{"title":"PET and SPECT Imaging of ALS: An Educational Review.","authors":"Ayaan M Jamali, Manasa Kethamreddy, Brian J Burkett, John D Port, Mukesh K Pandey","doi":"10.1155/2023/5864391","DOIUrl":"10.1155/2023/5864391","url":null,"abstract":"<p><p>Amyotrophic lateral sclerosis (ALS) is a disease leading to progressive motor degeneration and ultimately death. It is a complex disease that can take a significantly long time to be diagnosed, as other similar pathological conditions must be ruled out for a definite diagnosis of ALS. Noninvasive imaging of ALS has shed light on disease pathology and altered biochemistry in the ALS brain. Other than magnetic resonance imaging (MRI), two types of functional imaging, positron emission tomography (PET) and single photon emission computed tomography (SPECT), have provided valuable data about what happens in the brain of ALS patients compared to healthy controls. PET imaging has revealed a specific pattern of brain metabolism through [<sup>18</sup>F]FDG, while other radiotracers have uncovered neuroinflammation, changes in neuronal density, and protein aggregation. SPECT imaging has shown a general decrease in regional cerebral blood flow (rCBF) in ALS patients. This educational review summarizes the current state of ALS imaging with various PET and SPECT radiopharmaceuticals to better understand the pathophysiology of ALS.</p>","PeriodicalId":18855,"journal":{"name":"Molecular Imaging","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2023-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10460279/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10464600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-08-11eCollection Date: 2023-01-01DOI: 10.1155/2023/1855985
Kelly Smart, Carme Uribe, Kimberly L Desmond, Sarah L Martin, Neil Vasdev, Antonio P Strafella
Synaptic density in the central nervous system can be measured in vivo using PET with [18F]SynVesT-1. While [18F]SynVesT-1 has been proven to be a powerful radiopharmaceutical for PET imaging of neurodegenerative disorders such as Parkinson's disease (PD), its currently validated acquisition and quantification protocols are invasive and technically challenging in these populations due to the arterial sampling and relatively long scanning times. The objectives of this work were to evaluate a noninvasive (reference tissue) quantification method for [18F]SynVesT-1 in PD patients and to determine the minimum scan time necessary for accurate quantification. [18F]SynVesT-1 PET scans were acquired in 5 patients with PD and 3 healthy control subjects for 120 min with arterial blood sampling. Quantification was performed using the one-tissue compartment model (1TCM) with arterial input function, as well as with the simplified reference tissue model (SRTM) to estimate binding potential (BPND) using centrum semiovale (CS) as a reference region. The SRTM2 method was used with k2' fixed to either a sample average value (0.037 min-1) or a value estimated first through coupled fitting across regions for each participant. Direct SRTM estimation and the Logan reference region graphical method were also evaluated. There were no significant group differences in CS volume, radiotracer uptake, or efflux (ps > 0.47). Each fitting method produced BPND estimates in close agreement with those derived from the 1TCM (subject R2s > 0.98, bias < 10%), with no difference in bias between the control and PD groups. With SRTM2, BPND estimates from truncated scan data as short as 80 min produced values in excellent agreement with the data from the full 120 min scans (bias < 6%). While these are preliminary results from a small sample of patients with PD (n = 5), this work suggests that accurate synaptic density quantification may be performed without blood sampling and with scan time under 90 minutes. If further validated, these simplified procedures for [18F]SynVesT-1 PET quantification can facilitate its application as a clinical research imaging technology and allow for larger study samples and include a broader scope of patients including those with neurodegenerative diseases.
{"title":"Preliminary Assessment of Reference Region Quantification and Reduced Scanning Times for [<sup>18</sup>F]SynVesT-1 PET in Parkinson's Disease.","authors":"Kelly Smart, Carme Uribe, Kimberly L Desmond, Sarah L Martin, Neil Vasdev, Antonio P Strafella","doi":"10.1155/2023/1855985","DOIUrl":"10.1155/2023/1855985","url":null,"abstract":"<p><p>Synaptic density in the central nervous system can be measured <i>in vivo</i> using PET with [<sup>18</sup>F]SynVesT-1. While [<sup>18</sup>F]SynVesT-1 has been proven to be a powerful radiopharmaceutical for PET imaging of neurodegenerative disorders such as Parkinson's disease (PD), its currently validated acquisition and quantification protocols are invasive and technically challenging in these populations due to the arterial sampling and relatively long scanning times. The objectives of this work were to evaluate a noninvasive (reference tissue) quantification method for [<sup>18</sup>F]SynVesT-1 in PD patients and to determine the minimum scan time necessary for accurate quantification. [<sup>18</sup>F]SynVesT-1 PET scans were acquired in 5 patients with PD and 3 healthy control subjects for 120 min with arterial blood sampling. Quantification was performed using the one-tissue compartment model (1TCM) with arterial input function, as well as with the simplified reference tissue model (SRTM) to estimate binding potential (BP<sub>ND</sub>) using centrum semiovale (CS) as a reference region. The SRTM2 method was used with <i>k</i><sub>2</sub>' fixed to either a sample average value (0.037 min<sup>-1</sup>) or a value estimated first through coupled fitting across regions for each participant. Direct SRTM estimation and the Logan reference region graphical method were also evaluated. There were no significant group differences in CS volume, radiotracer uptake, or efflux (<i>ps</i> > 0.47). Each fitting method produced BP<sub>ND</sub> estimates in close agreement with those derived from the 1TCM (subject <i>R</i><sup>2</sup>s > 0.98, bias < 10%), with no difference in bias between the control and PD groups. With SRTM2, BP<sub>ND</sub> estimates from truncated scan data as short as 80 min produced values in excellent agreement with the data from the full 120 min scans (bias < 6%). While these are preliminary results from a small sample of patients with PD (<i>n</i> = 5), this work suggests that accurate synaptic density quantification may be performed without blood sampling and with scan time under 90 minutes. If further validated, these simplified procedures for [<sup>18</sup>F]SynVesT-1 PET quantification can facilitate its application as a clinical research imaging technology and allow for larger study samples and include a broader scope of patients including those with neurodegenerative diseases.</p>","PeriodicalId":18855,"journal":{"name":"Molecular Imaging","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445483/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10071155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-25eCollection Date: 2022-01-01DOI: 10.1155/2022/5185951
Youngho Seo, Miranda C Craig, Stephanie T Murphy, Jinjin Feng, Xin Chen, Mariia Yuneva
Purpose: Quantitative in vivo [18F]-(2S,4R)4-fluoroglutamine ([18F]4-FGln or more simply [18F]FGln) metabolic kinetic parameters are compared with activity levels of glutamine metabolism in different types of hepatocellular carcinoma (HCC).
Methods: For this study, we used two transgenic mouse models of HCC induced by protooncogenes, MYC, and MET. Biochemical data have shown that tumors induced by MYC have increased levels of glutamine metabolism compared to those induced by MET. One-hour dynamic [18F]FGln PET data were acquired and reconstructed for fasted MYC mice (n = 11 tumors from 7 animals), fasted MET mice (n = 8 tumors from 6 animals), fasted FVBN controls (n = 8 normal liver regions from 6 animals), nonfasted MYC mice (n = 16 tumors from 6 animals), and nonfasted FVBN controls (n = 8 normal liver regions from 3 animals). The influx rate constants (K1) using the one-tissue compartment model were derived for each tumor with the left ventricular blood pool input function.
Results: Influx rate constants were significantly higher for MYC tumors (K1 = 0.374 ± 0.133) than for MET tumors (K1 = 0.141 ± 0.058) under fasting conditions (P = 0.0002). Rate constants were also significantly lower for MET tumors (K1 = 0.141 ± 0.135) than normal livers (K1 = 0.332 ± 0.179) under fasting conditions (P = 0.0123). Fasting conditions tested for MYC tumors and normal livers did not result in any significant difference with P values > 0.005.
Conclusion: Higher influx rate constants corresponded to elevated levels of glutamine metabolism as determined by biochemical assays. The data showed that there is a distinctive difference in glutamine metabolism between MYC and MET tumors. Our study has demonstrated the potential of [18F]FGln PET imaging as a tool to assess glutamine metabolism in HCC tumors in vivo with a caution that it may not be able to clearly distinguish HCC tumors from normal liver tissue.
{"title":"[<sup>18</sup>F]-(2S,4R)4-Fluoroglutamine PET Imaging of Glutamine Metabolism in Murine Models of Hepatocellular Carcinoma (HCC).","authors":"Youngho Seo, Miranda C Craig, Stephanie T Murphy, Jinjin Feng, Xin Chen, Mariia Yuneva","doi":"10.1155/2022/5185951","DOIUrl":"https://doi.org/10.1155/2022/5185951","url":null,"abstract":"<p><strong>Purpose: </strong>Quantitative <i>in vivo</i> [<sup>18</sup>F]-(2S,4R)4-fluoroglutamine ([<sup>18</sup>F]4-FGln or more simply [<sup>18</sup>F]FGln) metabolic kinetic parameters are compared with activity levels of glutamine metabolism in different types of hepatocellular carcinoma (HCC).</p><p><strong>Methods: </strong>For this study, we used two transgenic mouse models of HCC induced by protooncogenes, MYC, and MET. Biochemical data have shown that tumors induced by MYC have increased levels of glutamine metabolism compared to those induced by MET. One-hour dynamic [<sup>18</sup>F]FGln PET data were acquired and reconstructed for fasted MYC mice (<i>n</i> = 11 tumors from 7 animals), fasted MET mice (<i>n</i> = 8 tumors from 6 animals), fasted FVBN controls (<i>n</i> = 8 normal liver regions from 6 animals), nonfasted MYC mice (<i>n</i> = 16 tumors from 6 animals), and nonfasted FVBN controls (<i>n</i> = 8 normal liver regions from 3 animals). The influx rate constants (<i>K</i> <sub>1</sub>) using the one-tissue compartment model were derived for each tumor with the left ventricular blood pool input function.</p><p><strong>Results: </strong>Influx rate constants were significantly higher for MYC tumors (<i>K</i> <sub>1</sub> = 0.374 ± 0.133) than for MET tumors (<i>K</i> <sub>1</sub> = 0.141 ± 0.058) under fasting conditions (<i>P</i> = 0.0002). Rate constants were also significantly lower for MET tumors (<i>K</i> <sub>1</sub> = 0.141 ± 0.135) than normal livers (<i>K</i> <sub>1</sub> = 0.332 ± 0.179) under fasting conditions (<i>P</i> = 0.0123). Fasting conditions tested for MYC tumors and normal livers did not result in any significant difference with <i>P</i> values > 0.005.</p><p><strong>Conclusion: </strong>Higher influx rate constants corresponded to elevated levels of glutamine metabolism as determined by biochemical assays. The data showed that there is a distinctive difference in glutamine metabolism between MYC and MET tumors. Our study has demonstrated the potential of [<sup>18</sup>F]FGln PET imaging as a tool to assess glutamine metabolism in HCC tumors <i>in vivo</i> with a caution that it may not be able to clearly distinguish HCC tumors from normal liver tissue.</p>","PeriodicalId":18855,"journal":{"name":"Molecular Imaging","volume":null,"pages":null},"PeriodicalIF":2.8,"publicationDate":"2022-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351703/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40615091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}