Pub Date : 2024-05-03DOI: 10.1186/s13550-024-01108-3
Sunju Choi, Yong-il Kim, Sangwon Han, Jae Kwang Yun, Geun Dong Lee, Sehoon Choi, Hyeong Ryul Kim, Yong-Hee Kim, Dong Kwan Kim, Seung-Il Park, Jin-Sook Ryu
Thymic cysts are a rare benign disease that needs to be distinguished from low-risk thymoma. [18F]fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) is a non-invasive imaging technique used in the differential diagnosis of thymic epithelial tumours, but its usefulness for thymic cysts remains unclear. Our study evaluated the utility of visual findings and quantitative parameters of [18F]FDG PET/CT for differentiating between thymic cysts and low-risk thymomas. Patients who underwent preoperative [18F]FDG PET/CT followed by thymectomy for a thymic mass were retrospectively analyzed. The visual [18F]FDG PET/CT findings evaluated were PET visual grade, PET central metabolic defect, and CT shape. The quantitative [18F]FDG PET/CT parameters evaluated were PET maximum standardized uptake value (SUVmax), CT diameter (cm), and CT attenuation in Hounsfield units (HU). Findings and parameters for differentiating thymic cysts from low-risk thymomas were assessed using Pearson’s chi-square test, the Mann-Whitney U-test, and receiver operating characteristics (ROC) curve analysis. Seventy patients (18 thymic cysts and 52 low-risk thymomas) were finally included. Visual findings of PET visual grade (P < 0.001) and PET central metabolic defect (P < 0.001) showed significant differences between thymic cysts and low-risk thymomas, but CT shape did not. Among the quantitative parameters, PET SUVmax (P < 0.001), CT diameter (P < 0.001), and CT HU (P = 0.004) showed significant differences. In ROC analysis, PET SUVmax demonstrated the highest area under the curve (AUC) of 0.996 (P < 0.001), with a cut-off of equal to or less than 2.1 having a sensitivity of 100.0% and specificity of 94.2%. The AUC of PET SUVmax was significantly larger than that of CT diameter (P = 0.009) and CT HU (P = 0.004). Among the [18F]FDG PET/CT parameters examined, low FDG uptake (SUVmax ≤ 2.1, equal to or less than the mediastinum) is a strong diagnostic marker for a thymic cyst. PET visual grade and central metabolic defect are easily accessible findings.
{"title":"Distinguishing thymic cysts from low-risk thymomas via [18F]FDG PET/CT","authors":"Sunju Choi, Yong-il Kim, Sangwon Han, Jae Kwang Yun, Geun Dong Lee, Sehoon Choi, Hyeong Ryul Kim, Yong-Hee Kim, Dong Kwan Kim, Seung-Il Park, Jin-Sook Ryu","doi":"10.1186/s13550-024-01108-3","DOIUrl":"https://doi.org/10.1186/s13550-024-01108-3","url":null,"abstract":"Thymic cysts are a rare benign disease that needs to be distinguished from low-risk thymoma. [18F]fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) is a non-invasive imaging technique used in the differential diagnosis of thymic epithelial tumours, but its usefulness for thymic cysts remains unclear. Our study evaluated the utility of visual findings and quantitative parameters of [18F]FDG PET/CT for differentiating between thymic cysts and low-risk thymomas. Patients who underwent preoperative [18F]FDG PET/CT followed by thymectomy for a thymic mass were retrospectively analyzed. The visual [18F]FDG PET/CT findings evaluated were PET visual grade, PET central metabolic defect, and CT shape. The quantitative [18F]FDG PET/CT parameters evaluated were PET maximum standardized uptake value (SUVmax), CT diameter (cm), and CT attenuation in Hounsfield units (HU). Findings and parameters for differentiating thymic cysts from low-risk thymomas were assessed using Pearson’s chi-square test, the Mann-Whitney U-test, and receiver operating characteristics (ROC) curve analysis. Seventy patients (18 thymic cysts and 52 low-risk thymomas) were finally included. Visual findings of PET visual grade (P < 0.001) and PET central metabolic defect (P < 0.001) showed significant differences between thymic cysts and low-risk thymomas, but CT shape did not. Among the quantitative parameters, PET SUVmax (P < 0.001), CT diameter (P < 0.001), and CT HU (P = 0.004) showed significant differences. In ROC analysis, PET SUVmax demonstrated the highest area under the curve (AUC) of 0.996 (P < 0.001), with a cut-off of equal to or less than 2.1 having a sensitivity of 100.0% and specificity of 94.2%. The AUC of PET SUVmax was significantly larger than that of CT diameter (P = 0.009) and CT HU (P = 0.004). Among the [18F]FDG PET/CT parameters examined, low FDG uptake (SUVmax ≤ 2.1, equal to or less than the mediastinum) is a strong diagnostic marker for a thymic cyst. PET visual grade and central metabolic defect are easily accessible findings.","PeriodicalId":11611,"journal":{"name":"EJNMMI Research","volume":"124 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140831785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-03DOI: 10.1186/s13550-024-01103-8
Obada M. Alzghool, Richard Aarnio, Jatta S. Helin, Saara Wahlroos, Thomas Keller, Markus Matilainen, Junel Solis, Jonathan J. Danon, Michael Kassiou, Anniina Snellman, Olof Solin, Juha O. Rinne, Merja Haaparanta‑Solin
<p><b>Correction: EJNMMI Research (2024) 14:25</b></p><p><b>https://doi.org/10.1186/s13550-024-01085-7</b>.</p><p>Following publication of the article, the following errors were brought to the attention of the journal: In Figures 5, 6, and 7, white squares had been erroneously included behind the brain section images during production of the article, and the affiliations information of the article was incomplete. The published article has since been corrected.</p><h3>Authors and Affiliations</h3><ol><li><p>PET Preclinical Imaging Laboratory, Turku PET Centre, University of Turku, Tykistökatu 6 A, Turku, 20520, Finland</p><p>Obada M. Alzghool, Richard Aarnio, Jatta S. Helin, Anniina Snellman & Merja Haaparanta‑Solin</p></li><li><p>Medicity Research Laboratory, University of Turku, Tykistökatu 6 A, Turku, 20520, Finland</p><p>Obada M. Alzghool, Richard Aarnio, Jatta S. Helin & Merja Haaparanta‑Solin</p></li><li><p>Drug Research Doctoral Programme, University of Turku, Turku, Finland</p><p>Obada M. Alzghool & Richard Aarnio</p></li><li><p>Turku University Hospital, Turku PET Centre, Kiinamyllynkatu 4-8, 20520, Turku, Finland</p><p>Obada M. Alzghool, Markus Matilainen & Juha O. Rinne</p></li><li><p>Radiopharmaceutical Chemistry Laboratory, Turku PET Centre, University of Turku, Kiinamyllynkatu 4-8, FI-20520, Turku, Finland</p><p>Saara Wahlroos, Thomas Keller & Olof Solin</p></li><li><p>Turku BioImaging, Åbo Akademi University and University of Turku, Turku, Finland</p><p>Junel Solis</p></li><li><p>School of Chemistry, The University of Sydney, Sydney, NSW, 2006, Australia</p><p>Jonathan J. Danon & Michael Kassiou</p></li><li><p>Department of Chemistry, University of Turku, Henrikinkatu 2, Turku, 20500, Finland</p><p>Olof Solin</p></li><li><p>Accelerator Laboratory, Turku PET Centre, Åbo Akademi University, Kiinamyllynkatu, Turku, 4‑8, 20520, Finland</p><p>Olof Solin</p></li><li><p>Department of Neurology, Turku University Hospital, Kiinamyllynkatu 4-8, 20520, Turku, Finland</p><p>Juha O. Rinne</p></li></ol><span>Authors</span><ol><li><span>Obada M. Alzghool</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Richard Aarnio</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Jatta S. Helin</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Saara Wahlroos</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Thomas Keller</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Markus Matilainen</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span>
更正:EJNMMI Research (2024) 14:25https://doi.org/10.1186/s13550-024-01085-7.Following 文章发表后,本刊注意到以下错误:在图5、图6和图7中,文章制作过程中错误地在脑切片图像后面加入了白方块,文章中的单位信息不完整。作者和单位图尔库大学图尔库 PET 中心临床前成像实验室,Tykistökatu 6 A, Turku, 20520, FinlandObada M. Alzghool, Richard Aarnio, Jatta S. Helin, Anniina Snellman & Merja Haaparanta-Solin 医学研究实验室,图尔库大学,Tykistökatu 6 A, Turku, 20520, FinlandObada M. Alzghool, Richard Aarnio, Anniina Snellman & Merja Haaparanta-Solin.Alzghool, Richard Aarnio, Jatta S. Helin & Merja Haaparanta-SolinDrug Research Phoal Programme, University of Turku, Turku, FinlandObada M. Alzghool & Richard AarnioTurku University Hospital, Turku PET Centre, Kiinamyllynkatu 4-8, 20520, Turku, FinlandObada M. Alzghool, Markus Matilainen & Juha O. RinneRadiarmaceuticals, University of Turku, Turku, FinlandObada M. Alzghool, Markus Matilainen & Juha O. Rinne Radiarmaceuticals, University of Turku, Turku, FinlandRinneRadiopharmaceutical Chemistry Laboratory, Turku PET Centre, University of Turku, Kiinamyllynkatu 4-8, FI-20520, Turku, FinlandSaara Wahlroos, Thomas Keller & Olof SolinTurku BioImaging, Åbo Akademi University and University of Turku, Turku, FinlandJunel SolisSchool of Chemistry, The University of Sydney, Sydney, NSW, 2006, AustraliaJonathan J. Danon & Michael Kassass.Danon & Michael KassiouDepartment of Chemistry,University of Turku,Henrikinkatu 2,Turku,20500,FinlandOlof SolinAccelerator Laboratory,Turku PET Centre,Åbo Akademi University,Kiinamyllynkatu,Turku,4-8,20520,FinlandOlof SolinDepartment of Neurology,Turku University Hospital,Kiinamyllynkatu 4-8,20520,Turku,FinlandJuha O.RinneAuthorsObada M. Alzghool查看作者发表的作品您也可以在PubMed Google Scholar中搜索该作者Richard Aarnio查看作者发表的作品您也可以在PubMed Google Scholar中搜索该作者Jatta S. Helin查看作者发表的作品您也可以在PubMed Google Scholar中搜索该作者Jatta S. Helin查看作者发表的作品HelinView 作者发表作品您也可以在 PubMed Google ScholarSaara WahlroosView 作者发表作品您也可以在 PubMed Google ScholarThomas KellerView 作者发表作品您也可以在 PubMed Google ScholarMarkus MatilainenView 作者发表作品您也可以在 PubMed Google ScholarJunel SolisView 作者发表作品您也可以在 PubMed Google ScholarJonathan J.Danon查看作者发表的作品您也可以在PubMed Google Scholar中搜索该作者Michael Kassiou查看作者发表的作品您也可以在PubMed Google Scholar中搜索该作者Anniina Snellman查看作者发表的作品您也可以在PubMed Google Scholar中搜索该作者Olof Solin查看作者发表的作品您也可以在PubMed Google Scholar中搜索该作者Juha O. Rinne查看作者发表的作品Rinne查看作者发表的文章您也可以在PubMed Google Scholar中搜索该作者Merja Haaparanta-Solin 查看作者发表的文章您也可以在PubMed Google Scholar中搜索该作者出版商注释Springer Nature对出版地图中的管辖权主张和机构隶属关系保持中立。原文的在线版本可在https://doi.org/10.1186/s13550-024-01085-7.Open Access 本文采用知识共享署名 4.0 国际许可协议进行许可,该协议允许以任何媒介或格式使用、共享、改编、分发和复制,只要您适当注明原作者和来源,提供知识共享许可协议的链接,并说明是否进行了修改。本文中的图片或其他第三方材料均包含在文章的知识共享许可协议中,除非在材料的署名栏中另有说明。如果材料未包含在文章的知识共享许可协议中,且您打算使用的材料不符合法律规定或超出许可使用范围,则您需要直接从版权所有者处获得许可。如需查看该许可的副本,请访问 http://creativecommons.org/licenses/by/4.0/.Reprints and permissionsCite this articleAlzghool, O.M., Aarnio, R., Helin, J.S. et al. Correction:使用[11C]SMW139和[18F]F-DPA对P2X7受体和TSPO进行PET成像评估β-淀粉样蛋白沉积小鼠模型的神经胶质反应性。EJNMMI Res 14, 44 (2024).
{"title":"Correction: Glial reactivity in a mouse model of beta-amyloid deposition assessed by PET imaging of P2X7 receptor and TSPO using [11C]SMW139 and [18F]F-DPA","authors":"Obada M. Alzghool, Richard Aarnio, Jatta S. Helin, Saara Wahlroos, Thomas Keller, Markus Matilainen, Junel Solis, Jonathan J. Danon, Michael Kassiou, Anniina Snellman, Olof Solin, Juha O. Rinne, Merja Haaparanta‑Solin","doi":"10.1186/s13550-024-01103-8","DOIUrl":"https://doi.org/10.1186/s13550-024-01103-8","url":null,"abstract":"<p><b>Correction: EJNMMI Research (2024) 14:25</b></p><p><b>https://doi.org/10.1186/s13550-024-01085-7</b>.</p><p>Following publication of the article, the following errors were brought to the attention of the journal: In Figures 5, 6, and 7, white squares had been erroneously included behind the brain section images during production of the article, and the affiliations information of the article was incomplete. The published article has since been corrected.</p><h3>Authors and Affiliations</h3><ol><li><p>PET Preclinical Imaging Laboratory, Turku PET Centre, University of Turku, Tykistökatu 6 A, Turku, 20520, Finland</p><p>Obada M. Alzghool, Richard Aarnio, Jatta S. Helin, Anniina Snellman & Merja Haaparanta‑Solin</p></li><li><p>Medicity Research Laboratory, University of Turku, Tykistökatu 6 A, Turku, 20520, Finland</p><p>Obada M. Alzghool, Richard Aarnio, Jatta S. Helin & Merja Haaparanta‑Solin</p></li><li><p>Drug Research Doctoral Programme, University of Turku, Turku, Finland</p><p>Obada M. Alzghool & Richard Aarnio</p></li><li><p>Turku University Hospital, Turku PET Centre, Kiinamyllynkatu 4-8, 20520, Turku, Finland</p><p>Obada M. Alzghool, Markus Matilainen & Juha O. Rinne</p></li><li><p>Radiopharmaceutical Chemistry Laboratory, Turku PET Centre, University of Turku, Kiinamyllynkatu 4-8, FI-20520, Turku, Finland</p><p>Saara Wahlroos, Thomas Keller & Olof Solin</p></li><li><p>Turku BioImaging, Åbo Akademi University and University of Turku, Turku, Finland</p><p>Junel Solis</p></li><li><p>School of Chemistry, The University of Sydney, Sydney, NSW, 2006, Australia</p><p>Jonathan J. Danon & Michael Kassiou</p></li><li><p>Department of Chemistry, University of Turku, Henrikinkatu 2, Turku, 20500, Finland</p><p>Olof Solin</p></li><li><p>Accelerator Laboratory, Turku PET Centre, Åbo Akademi University, Kiinamyllynkatu, Turku, 4‑8, 20520, Finland</p><p>Olof Solin</p></li><li><p>Department of Neurology, Turku University Hospital, Kiinamyllynkatu 4-8, 20520, Turku, Finland</p><p>Juha O. Rinne</p></li></ol><span>Authors</span><ol><li><span>Obada M. Alzghool</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Richard Aarnio</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Jatta S. Helin</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Saara Wahlroos</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Thomas Keller</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Markus Matilainen</span>View author publications<p>You can also search for this author in <span>PubMed<span> </span>Google Scholar</span>","PeriodicalId":11611,"journal":{"name":"EJNMMI Research","volume":"45 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140831562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-29DOI: 10.1186/s13550-024-01092-8
Yu-Peng Zhou, Moses Q. Wilks, Maeva Dhaynaut, Nicolas J. Guehl, Danielle R. Vesper, Sung-Hyun Moon, Peter A. Rice, Georges El Fakhri, Marc D. Normandin, Pedro Brugarolas
4-Aminopyridine (4AP) is a medication for the symptomatic treatment of multiple sclerosis. Several 4AP-based PET tracers have been developed for imaging demyelination. In preclinical studies, [11C]3MeO4AP has shown promise due to its high brain permeability, high metabolic stability, high plasma availability, and high in vivo binding affinity. To prepare for the translation to human studies, we developed a cGMP-compatible automated radiosynthesis protocol and evaluated the whole-body biodistribution and radiation dosimetry of [11C]3MeO4AP in non-human primates (NHPs). Automated radiosynthesis was carried out using a GE TRACERlab FX-C Pro synthesis module. One male and one female adult rhesus macaques were used in the study. A high-resolution CT from cranial vertex to knee was acquired. PET data were collected using a dynamic acquisition protocol with four bed positions and 13 passes over a total scan time of ~ 150 min. Based on the CT and PET images, volumes of interest (VOIs) were manually drawn for selected organs. Non-decay corrected time-activity curves (TACs) were extracted for each VOI. Radiation dosimetry and effective dose were calculated from the integrated TACs using OLINDA software. Fully automated radiosynthesis of [11C]3MeO4AP was achieved with 7.3 ± 1.2% (n = 4) of non-decay corrected radiochemical yield within 38 min of synthesis and purification time. [11C]3MeO4AP distributed quickly throughout the body and into the brain. The organs with highest dose were the kidneys. The average effective dose of [11C]3MeO4AP was 4.0 ± 0.6 μSv/MBq. No significant changes in vital signs were observed during the scan. A cGMP-compatible automated radiosynthesis of [11C]3MeO4AP was developed. The whole-body biodistribution and radiation dosimetry of [11C]3MeO4AP was successfully evaluated in NHPs. [11C]3MeO4AP shows lower average effective dose than [18F]3F4AP and similar average effective dose as other carbon-11 tracers.
{"title":"Radiosynthesis automation, non-human primate biodistribution and dosimetry of K+ channel tracer [11C]3MeO4AP","authors":"Yu-Peng Zhou, Moses Q. Wilks, Maeva Dhaynaut, Nicolas J. Guehl, Danielle R. Vesper, Sung-Hyun Moon, Peter A. Rice, Georges El Fakhri, Marc D. Normandin, Pedro Brugarolas","doi":"10.1186/s13550-024-01092-8","DOIUrl":"https://doi.org/10.1186/s13550-024-01092-8","url":null,"abstract":"4-Aminopyridine (4AP) is a medication for the symptomatic treatment of multiple sclerosis. Several 4AP-based PET tracers have been developed for imaging demyelination. In preclinical studies, [11C]3MeO4AP has shown promise due to its high brain permeability, high metabolic stability, high plasma availability, and high in vivo binding affinity. To prepare for the translation to human studies, we developed a cGMP-compatible automated radiosynthesis protocol and evaluated the whole-body biodistribution and radiation dosimetry of [11C]3MeO4AP in non-human primates (NHPs). Automated radiosynthesis was carried out using a GE TRACERlab FX-C Pro synthesis module. One male and one female adult rhesus macaques were used in the study. A high-resolution CT from cranial vertex to knee was acquired. PET data were collected using a dynamic acquisition protocol with four bed positions and 13 passes over a total scan time of ~ 150 min. Based on the CT and PET images, volumes of interest (VOIs) were manually drawn for selected organs. Non-decay corrected time-activity curves (TACs) were extracted for each VOI. Radiation dosimetry and effective dose were calculated from the integrated TACs using OLINDA software. Fully automated radiosynthesis of [11C]3MeO4AP was achieved with 7.3 ± 1.2% (n = 4) of non-decay corrected radiochemical yield within 38 min of synthesis and purification time. [11C]3MeO4AP distributed quickly throughout the body and into the brain. The organs with highest dose were the kidneys. The average effective dose of [11C]3MeO4AP was 4.0 ± 0.6 μSv/MBq. No significant changes in vital signs were observed during the scan. A cGMP-compatible automated radiosynthesis of [11C]3MeO4AP was developed. The whole-body biodistribution and radiation dosimetry of [11C]3MeO4AP was successfully evaluated in NHPs. [11C]3MeO4AP shows lower average effective dose than [18F]3F4AP and similar average effective dose as other carbon-11 tracers.","PeriodicalId":11611,"journal":{"name":"EJNMMI Research","volume":"108 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140831841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-17DOI: 10.1186/s13550-024-01095-5
Amir Karimzadeh, Kian Baradaran-Salimi, Berthold Voges, Ivayla Apostolova, Thomas Sauvigny, Michael Lanz, Susanne Klutmann, Stefan Stodieck, Philipp T. Meyer, Ralph Buchert
The aim of this study was to assess the impact of the post-injection electrical seizure duration on the identification of the seizure onset zone (SOZ) in ictal brain perfusion SPECT in presurgical evaluation of drug-resistant epilepsy. 176 ictal SPECT performed with 99mTc-HMPAO (n = 140) or -ECD (n = 36) were included retrospectively. Visual interpretation of the SPECT images (together with individual MRI and statistical hyperperfusion maps) with respect to lateralization (right, left, none) and localization (temporal, frontal, parietal, occipital) of the SOZ was performed by 3 independent readers. Between-readers agreement was characterized by Fleiss’ κ. An ictal SPECT was considered "lateralizing" if all readers agreed on right or left hemisphere. It was considered "localizing" if it was lateralizing and all readers agreed on the same lobe within the same hemisphere. The impact of injection latency and post-injection seizure duration on the proportion of lateralizing/localizing SPECT was tested by ANOVA with dichotomized (by the median) injection latency and post-injection seizure duration as between-subjects factors. Median [interquartile range] (full range) of injection latency and post-injection seizure duration were 30 [24, 40] (3–120) s and 50 [27, 70] (-20–660) s, respectively. Fleiss’ κ for lateralization of the SOZ was largest for the combination of early (< 30 s) injection and long (> 50 s) post-injection seizure duration (κ = 0.894, all other combinations κ = 0.659–0.734). Regarding Fleiss’ κ for localization of the SOZ in the 141 (80.1%) lateralizing SPECT, it was largest for early injection and short post-injection seizure duration (κ = 0.575, all other combinations κ = 0.329–0.368). The proportion of lateralizing SPECT was lower with short compared to long post-injection seizure duration (estimated marginal means 74.3% versus 86.3%, p = 0.047). The effect was mainly driven by cases with very short post-injection seizure duration ≤ 10 s (53.8% lateralizing). Injection latency in the considered range had no significant impact on the proportion of lateralizing SPECT (p = 0.390). The proportion of localizing SPECT among the lateralizing cases did not depend on injection latency or post-injection seizure duration (p ≥ 0.603). Short post-injection seizure duration is associated with a lower proportion of lateralizing cases in ictal brain perfusion SPECT.
{"title":"Short post-injection seizure duration is associated with reduced power of ictal brain perfusion SPECT to lateralize the seizure onset zone","authors":"Amir Karimzadeh, Kian Baradaran-Salimi, Berthold Voges, Ivayla Apostolova, Thomas Sauvigny, Michael Lanz, Susanne Klutmann, Stefan Stodieck, Philipp T. Meyer, Ralph Buchert","doi":"10.1186/s13550-024-01095-5","DOIUrl":"https://doi.org/10.1186/s13550-024-01095-5","url":null,"abstract":"The aim of this study was to assess the impact of the post-injection electrical seizure duration on the identification of the seizure onset zone (SOZ) in ictal brain perfusion SPECT in presurgical evaluation of drug-resistant epilepsy. 176 ictal SPECT performed with 99mTc-HMPAO (n = 140) or -ECD (n = 36) were included retrospectively. Visual interpretation of the SPECT images (together with individual MRI and statistical hyperperfusion maps) with respect to lateralization (right, left, none) and localization (temporal, frontal, parietal, occipital) of the SOZ was performed by 3 independent readers. Between-readers agreement was characterized by Fleiss’ κ. An ictal SPECT was considered \"lateralizing\" if all readers agreed on right or left hemisphere. It was considered \"localizing\" if it was lateralizing and all readers agreed on the same lobe within the same hemisphere. The impact of injection latency and post-injection seizure duration on the proportion of lateralizing/localizing SPECT was tested by ANOVA with dichotomized (by the median) injection latency and post-injection seizure duration as between-subjects factors. Median [interquartile range] (full range) of injection latency and post-injection seizure duration were 30 [24, 40] (3–120) s and 50 [27, 70] (-20–660) s, respectively. Fleiss’ κ for lateralization of the SOZ was largest for the combination of early (< 30 s) injection and long (> 50 s) post-injection seizure duration (κ = 0.894, all other combinations κ = 0.659–0.734). Regarding Fleiss’ κ for localization of the SOZ in the 141 (80.1%) lateralizing SPECT, it was largest for early injection and short post-injection seizure duration (κ = 0.575, all other combinations κ = 0.329–0.368). The proportion of lateralizing SPECT was lower with short compared to long post-injection seizure duration (estimated marginal means 74.3% versus 86.3%, p = 0.047). The effect was mainly driven by cases with very short post-injection seizure duration ≤ 10 s (53.8% lateralizing). Injection latency in the considered range had no significant impact on the proportion of lateralizing SPECT (p = 0.390). The proportion of localizing SPECT among the lateralizing cases did not depend on injection latency or post-injection seizure duration (p ≥ 0.603). Short post-injection seizure duration is associated with a lower proportion of lateralizing cases in ictal brain perfusion SPECT.","PeriodicalId":11611,"journal":{"name":"EJNMMI Research","volume":"166 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140612267","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-17DOI: 10.1186/s13550-024-01099-1
Ekaterina Shatalina, Thomas S. Whitehurst, Ellis Chika Onwordi, Barnabas J. Gilbert, Gaia Rizzo, Alex Whittington, Ayla Mansur, Hideo Tsukada, Tiago Reis Marques, Sridhar Natesan, Eugenii A. Rabiner, Matthew B. Wall, Oliver D. Howes
Mitochondrial function plays a key role in regulating neurotransmission and may contribute to general intelligence. Mitochondrial complex I (MC-I) is the largest enzyme of the respiratory chain. Recently, it has become possible to measure MC-I distribution in vivo, using a novel positron emission tomography tracer [18F]BCPP-EF, thus, we set out to investigate the association between MC-I distribution and measures of cognitive function in the living healthy brain. Analyses were performed in a voxel-wise manner and identified significant associations between [18F]BCPP-EF DVRCS−1 in the precentral gyrus and parietal lobes and WAIS-IV predicted IQ, WAIS-IV arithmetic and WAIS-IV symbol-digit substitution scores (voxel-wise Pearson’s correlation coefficients transformed to Z-scores, thresholded at Z = 2.3 family-wise cluster correction at p < 0.05, n = 16). Arithmetic scores were associated with middle frontal and post-central gyri tracer uptake, symbol-digit substitution scores were associated with precentral gyrus tracer uptake. RAVLT recognition scores were associated with [18F]BCPP-EF DVRCS−1 in the middle frontal gyrus, post-central gyrus, occipital and parietal regions (n = 20). Taken together, our findings support the theory that mitochondrial function may contribute to general intelligence and indicate that interindividual differences in MC-I should be a key consideration for research into mitochondrial dysfunction in conditions with cognitive impairment.
{"title":"Mitochondrial complex I density is associated with IQ and cognition in cognitively healthy adults: an in vivo [18F]BCPP-EF PET study","authors":"Ekaterina Shatalina, Thomas S. Whitehurst, Ellis Chika Onwordi, Barnabas J. Gilbert, Gaia Rizzo, Alex Whittington, Ayla Mansur, Hideo Tsukada, Tiago Reis Marques, Sridhar Natesan, Eugenii A. Rabiner, Matthew B. Wall, Oliver D. Howes","doi":"10.1186/s13550-024-01099-1","DOIUrl":"https://doi.org/10.1186/s13550-024-01099-1","url":null,"abstract":"Mitochondrial function plays a key role in regulating neurotransmission and may contribute to general intelligence. Mitochondrial complex I (MC-I) is the largest enzyme of the respiratory chain. Recently, it has become possible to measure MC-I distribution in vivo, using a novel positron emission tomography tracer [18F]BCPP-EF, thus, we set out to investigate the association between MC-I distribution and measures of cognitive function in the living healthy brain. Analyses were performed in a voxel-wise manner and identified significant associations between [18F]BCPP-EF DVRCS−1 in the precentral gyrus and parietal lobes and WAIS-IV predicted IQ, WAIS-IV arithmetic and WAIS-IV symbol-digit substitution scores (voxel-wise Pearson’s correlation coefficients transformed to Z-scores, thresholded at Z = 2.3 family-wise cluster correction at p < 0.05, n = 16). Arithmetic scores were associated with middle frontal and post-central gyri tracer uptake, symbol-digit substitution scores were associated with precentral gyrus tracer uptake. RAVLT recognition scores were associated with [18F]BCPP-EF DVRCS−1 in the middle frontal gyrus, post-central gyrus, occipital and parietal regions (n = 20). Taken together, our findings support the theory that mitochondrial function may contribute to general intelligence and indicate that interindividual differences in MC-I should be a key consideration for research into mitochondrial dysfunction in conditions with cognitive impairment.","PeriodicalId":11611,"journal":{"name":"EJNMMI Research","volume":"176 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140612174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-16DOI: 10.1186/s13550-024-01104-7
Emily Nicole Holy, Elizabeth Li, Anjan Bhattarai, Evan Fletcher, Evelyn R. Alfaro, Danielle J. Harvey, Benjamin A. Spencer, Simon R. Cherry, Charles S. DeCarli, Audrey P. Fan
Kinetic modeling of 18F-florbetaben provides important quantification of brain amyloid deposition in research and clinical settings but its use is limited by the requirement of arterial blood data for quantitative PET. The total-body EXPLORER PET scanner supports the dynamic acquisition of a full human body simultaneously and permits noninvasive image-derived input functions (IDIFs) as an alternative to arterial blood sampling. This study quantified brain amyloid burden with kinetic modeling, leveraging dynamic 18F-florbetaben PET in aorta IDIFs and the brain in an elderly cohort. 18F-florbetaben dynamic PET imaging was performed on the EXPLORER system with tracer injection (300 MBq) in 3 individuals with Alzheimer’s disease (AD), 3 with mild cognitive impairment, and 9 healthy controls. Image-derived input functions were extracted from the descending aorta with manual regions of interest based on the first 30 s after injection. Dynamic time-activity curves (TACs) for 110 min were fitted to the two-tissue compartment model (2TCM) using population-based metabolite corrected IDIFs to calculate total and specific distribution volumes (VT, Vs) in key brain regions with early amyloid accumulation. Non-displaceable binding potential ( $$ {BP}_{ND})$$ was also calculated from the multi-reference tissue model (MRTM). Amyloid-positive (AD) patients showed the highest VT and VS in anterior cingulate, posterior cingulate, and precuneus, consistent with $$ {BP}_{ND}$$ analysis. $$ {BP}_{ND} $$ and VT from kinetic models were correlated (r² = 0.46, P < 2 $$ {e}^{-16})$$ with a stronger positive correlation observed in amyloid-positive participants, indicating reliable model fits with the IDIFs. VT from 2TCM was highly correlated ( $$ {r}^{2}$$ = 0.65, P < 2 $$ {e}^{-16}$$ ) with Logan graphical VT estimation. Non-invasive quantification of amyloid binding from total-body 18F-florbetaben PET data is feasible using aorta IDIFs with high agreement between kinetic distribution volume parameters compared to $$ {BP}_{ND} $$ in amyloid-positive and amyloid-negative older individuals.
18F-氟贝特宾的动力学模型为研究和临床提供了重要的脑淀粉样沉积量化方法,但其使用受到定量 PET 需要动脉血数据的限制。全身 EXPLORER PET 扫描仪支持同时对整个人体进行动态采集,并允许以非侵入性图像衍生输入函数(IDIF)替代动脉血采样。这项研究利用动态18F-氟贝特宾PET在主动脉IDIF和大脑中对老年人队列进行动态建模,通过动力学建模对大脑淀粉样蛋白负担进行量化。在 EXPLORER 系统上对 3 名阿尔茨海默病(AD)患者、3 名轻度认知障碍患者和 9 名健康对照者注射示踪剂(300 MBq)后进行了 18F-氟贝特宾动态 PET 成像。根据注射后最初 30 秒的手动感兴趣区,从降主动脉提取图像衍生输入函数。利用基于群体的代谢物校正 IDIF,将 110 分钟的动态时间-活动曲线(TAC)拟合到双组织区室模型(2TCM)中,以计算早期淀粉样蛋白聚集的关键脑区的总分布容积和特定分布容积(VT、Vs)。此外,还通过多参考组织模型(MRTM)计算了不可置换结合电位($$ {BP}_{ND})$$。淀粉样蛋白阳性(AD)患者的前扣带回、后扣带回和楔前肌的VT和VS最高,与{BP}_{ND}$$分析结果一致。来自动力学模型的{BP}_{ND}$$和VT具有相关性(r² = 0.46,P < 2 $$ {e}^{-16})$$,在淀粉样蛋白阳性参与者中观察到更强的正相关性,表明与IDIFs的模型拟合可靠。来自 2TCM 的 VT 与 Logan 图形 VT 估算值高度相关($$ {r}^{2}$$ = 0.65,P < 2 $$ {e}^{-16}$$)。在淀粉样蛋白阳性和淀粉样蛋白阴性的老年人中,使用主动脉IDIF与{BP}_{ND}$$相比,动力学分布体积参数之间具有高度的一致性。
{"title":"Non-invasive quantification of 18F-florbetaben with total-body EXPLORER PET","authors":"Emily Nicole Holy, Elizabeth Li, Anjan Bhattarai, Evan Fletcher, Evelyn R. Alfaro, Danielle J. Harvey, Benjamin A. Spencer, Simon R. Cherry, Charles S. DeCarli, Audrey P. Fan","doi":"10.1186/s13550-024-01104-7","DOIUrl":"https://doi.org/10.1186/s13550-024-01104-7","url":null,"abstract":"Kinetic modeling of 18F-florbetaben provides important quantification of brain amyloid deposition in research and clinical settings but its use is limited by the requirement of arterial blood data for quantitative PET. The total-body EXPLORER PET scanner supports the dynamic acquisition of a full human body simultaneously and permits noninvasive image-derived input functions (IDIFs) as an alternative to arterial blood sampling. This study quantified brain amyloid burden with kinetic modeling, leveraging dynamic 18F-florbetaben PET in aorta IDIFs and the brain in an elderly cohort. 18F-florbetaben dynamic PET imaging was performed on the EXPLORER system with tracer injection (300 MBq) in 3 individuals with Alzheimer’s disease (AD), 3 with mild cognitive impairment, and 9 healthy controls. Image-derived input functions were extracted from the descending aorta with manual regions of interest based on the first 30 s after injection. Dynamic time-activity curves (TACs) for 110 min were fitted to the two-tissue compartment model (2TCM) using population-based metabolite corrected IDIFs to calculate total and specific distribution volumes (VT, Vs) in key brain regions with early amyloid accumulation. Non-displaceable binding potential ( $$ {BP}_{ND})$$ was also calculated from the multi-reference tissue model (MRTM). Amyloid-positive (AD) patients showed the highest VT and VS in anterior cingulate, posterior cingulate, and precuneus, consistent with $$ {BP}_{ND}$$ analysis. $$ {BP}_{ND} $$ and VT from kinetic models were correlated (r² = 0.46, P < 2 $$ {e}^{-16})$$ with a stronger positive correlation observed in amyloid-positive participants, indicating reliable model fits with the IDIFs. VT from 2TCM was highly correlated ( $$ {r}^{2}$$ = 0.65, P < 2 $$ {e}^{-16}$$ ) with Logan graphical VT estimation. Non-invasive quantification of amyloid binding from total-body 18F-florbetaben PET data is feasible using aorta IDIFs with high agreement between kinetic distribution volume parameters compared to $$ {BP}_{ND} $$ in amyloid-positive and amyloid-negative older individuals.","PeriodicalId":11611,"journal":{"name":"EJNMMI Research","volume":"292 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140583982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-12DOI: 10.1186/s13550-023-01059-1
Yuanyuan Sun, Zhaoping Cheng, Jianfeng Qiu, Weizhao Lu
The total-body positron emission tomography/computed tomography (PET/CT) system, with a long axial field of view, represents the state-of-the-art PET imaging technique. Recently, the total-body PET/CT system has been commercially available. The total-body PET/CT system enables high-resolution whole-body imaging, even under extreme conditions such as ultra-low dose, extremely fast imaging speed, delayed imaging more than 10 h after tracer injection, and total-body dynamic scan. The total-body PET/CT system provides a real-time picture of the tracers of all organs across the body, which not only helps to explain normal human physiological process, but also facilitates the comprehensive assessment of systemic diseases. In addition, the total-body PET/CT system may play critical roles in other medical fields, including cancer imaging, drug development and immunology. Therefore, it is of significance to summarize the existing studies of the total-body PET/CT systems and point out its future direction. This review collected research literatures from the PubMed database since the advent of commercially available total-body PET/CT systems to the present, and was divided into the following sections: Firstly, a brief introduction to the total-body PET/CT system was presented, followed by a summary of the literature on the performance evaluation of the total-body PET/CT. Then, the research and clinical applications of the total-body PET/CT were discussed. Fourthly, deep learning studies based on total-body PET imaging was reviewed. At last, the shortcomings of existing research and future directions for the total-body PET/CT were discussed. Due to its technical advantages, the total-body PET/CT system is bound to play a greater role in clinical practice in the future.
{"title":"Performance and application of the total-body PET/CT scanner: a literature review","authors":"Yuanyuan Sun, Zhaoping Cheng, Jianfeng Qiu, Weizhao Lu","doi":"10.1186/s13550-023-01059-1","DOIUrl":"https://doi.org/10.1186/s13550-023-01059-1","url":null,"abstract":"The total-body positron emission tomography/computed tomography (PET/CT) system, with a long axial field of view, represents the state-of-the-art PET imaging technique. Recently, the total-body PET/CT system has been commercially available. The total-body PET/CT system enables high-resolution whole-body imaging, even under extreme conditions such as ultra-low dose, extremely fast imaging speed, delayed imaging more than 10 h after tracer injection, and total-body dynamic scan. The total-body PET/CT system provides a real-time picture of the tracers of all organs across the body, which not only helps to explain normal human physiological process, but also facilitates the comprehensive assessment of systemic diseases. In addition, the total-body PET/CT system may play critical roles in other medical fields, including cancer imaging, drug development and immunology. Therefore, it is of significance to summarize the existing studies of the total-body PET/CT systems and point out its future direction. This review collected research literatures from the PubMed database since the advent of commercially available total-body PET/CT systems to the present, and was divided into the following sections: Firstly, a brief introduction to the total-body PET/CT system was presented, followed by a summary of the literature on the performance evaluation of the total-body PET/CT. Then, the research and clinical applications of the total-body PET/CT were discussed. Fourthly, deep learning studies based on total-body PET imaging was reviewed. At last, the shortcomings of existing research and future directions for the total-body PET/CT were discussed. Due to its technical advantages, the total-body PET/CT system is bound to play a greater role in clinical practice in the future.","PeriodicalId":11611,"journal":{"name":"EJNMMI Research","volume":"4 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140584428","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-06DOI: 10.1186/s13550-024-01101-w
Christof Rottenburger, Michael Hentschel, Markus Fürstner, Lisa McDougall, Danijela Kottoros, Felix Kaul, Rosalba Mansi, Melpomeni Fani, A. Hans Vija, Roger Schibli, Susanne Geistlich, Martin Behe, Emanuel R. Christ, Damian Wild
A new generation of radiolabeled minigastrin analogs delivers low radiation doses to kidneys and are considered relatively stable due to less enzymatic degradation. Nevertheless, relatively low tumor radiation doses in patients indicate limited stability in humans. We aimed at evaluating the effect of sacubitril, an inhibitor of the neutral endopeptidase 1, on the stability and absorbed doses to tumors and organs by the cholecystokinin-2 receptor agonist [177Lu]Lu-PP-F11N in patients. In this prospective phase 0 study eight consecutive patients with advanced medullary thyroid carcinoma and a current somatostatin receptor subtype 2 PET/CT scan were included. Patients received two short infusions of ~ 1 GBq [177Lu]Lu-PP-F11N in an interval of ~ 4 weeks with and without Entresto® pretreatment in an open-label, randomized cross-over order. Entresto® was given at a single oral dose, containing 48.6 mg sacubitril. Adverse events were graded and quantitative SPECT/CT and blood sampling were performed. Absorbed doses to tumors and relevant organs were calculated. Pretreatment with Entresto® showed no additional toxicity and increased the stability of [177Lu]Lu-PP-FF11N in blood significantly (p < 0.001). Median tumor-absorbed doses were 2.6-fold higher after Entresto® pretreatment (0.74 vs. 0.28 Gy/GBq, P = 0.03). At the same time, an increase of absorbed doses to stomach, kidneys and bone marrow was observed, resulting in a tumor-to-organ absorbed dose ratio not significantly different with and without Entresto®. Premedication with Entresto® results in a relevant stabilization of [177Lu]Lu-PP-FF11N and consecutively increases radiation doses in tumors and organs. Trial registration clinicaltrails.gov, NCT03647657. Registered 20 August 2018.
{"title":"In-vivo inhibition of neutral endopeptidase 1 results in higher absorbed tumor doses of [177Lu]Lu-PP-F11N in humans: the lumed phase 0b study","authors":"Christof Rottenburger, Michael Hentschel, Markus Fürstner, Lisa McDougall, Danijela Kottoros, Felix Kaul, Rosalba Mansi, Melpomeni Fani, A. Hans Vija, Roger Schibli, Susanne Geistlich, Martin Behe, Emanuel R. Christ, Damian Wild","doi":"10.1186/s13550-024-01101-w","DOIUrl":"https://doi.org/10.1186/s13550-024-01101-w","url":null,"abstract":"A new generation of radiolabeled minigastrin analogs delivers low radiation doses to kidneys and are considered relatively stable due to less enzymatic degradation. Nevertheless, relatively low tumor radiation doses in patients indicate limited stability in humans. We aimed at evaluating the effect of sacubitril, an inhibitor of the neutral endopeptidase 1, on the stability and absorbed doses to tumors and organs by the cholecystokinin-2 receptor agonist [177Lu]Lu-PP-F11N in patients. In this prospective phase 0 study eight consecutive patients with advanced medullary thyroid carcinoma and a current somatostatin receptor subtype 2 PET/CT scan were included. Patients received two short infusions of ~ 1 GBq [177Lu]Lu-PP-F11N in an interval of ~ 4 weeks with and without Entresto® pretreatment in an open-label, randomized cross-over order. Entresto® was given at a single oral dose, containing 48.6 mg sacubitril. Adverse events were graded and quantitative SPECT/CT and blood sampling were performed. Absorbed doses to tumors and relevant organs were calculated. Pretreatment with Entresto® showed no additional toxicity and increased the stability of [177Lu]Lu-PP-FF11N in blood significantly (p < 0.001). Median tumor-absorbed doses were 2.6-fold higher after Entresto® pretreatment (0.74 vs. 0.28 Gy/GBq, P = 0.03). At the same time, an increase of absorbed doses to stomach, kidneys and bone marrow was observed, resulting in a tumor-to-organ absorbed dose ratio not significantly different with and without Entresto®. Premedication with Entresto® results in a relevant stabilization of [177Lu]Lu-PP-FF11N and consecutively increases radiation doses in tumors and organs. Trial registration clinicaltrails.gov, NCT03647657. Registered 20 August 2018.","PeriodicalId":11611,"journal":{"name":"EJNMMI Research","volume":"2 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140584208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-05DOI: 10.1186/s13550-024-01097-3
Cristina E. Popescu, Boya Zhang, Thomas Sartoretti, Noel Spielhofer, Stephan Skawran, Jakob Heimer, Michael Messerli, Alexander Sauter, Martin W. Huellner, Philipp A. Kaufmann, Irene A. Burger, Alexander Maurer
Liver uptake in [68Ga]Ga-PSMA-11 PET is used as an internal reference in addition to clinical parameters to select patients for [177Lu]Lu-PSMA-617 radioligand therapy (RLT). Due to increased demand, [68Ga]Ga-PSMA-11 was replaced by [18F]F-PSMA-1007, a more lipophilic tracer with different biodistribution and splenic uptake was suggested as a new internal reference. We compared the intra-patient tracer distribution between [68Ga]Ga-PSMA-11 and [18F]F-PSMA-1007. Fifty patients who underwent PET examinations in two centers with both [18F]F-PSMA-1007 and [68Ga]Ga-PSMA-11 within one year were included. Mean standardized uptake values (SUVmean) were obtained for liver, spleen, salivary glands, blood pool, and bone. Primary tumor, local recurrence, lymph node, bone or visceral metastasis were also assessed for intra- and inter-individual comparison. Liver SUVmean was significantly higher with [18F]F-PSMA-1007 (11.7 ± 3.9) compared to [68Ga]Ga-PSMA-11 (5.4 ± 1.7, p < .05) as well as splenic SUVmean (11.2 ± 3.5 vs.8.1 ± 3.5, p < .05). The blood pool was comparable between the two scans. Malignant lesions did not show higher SUVmean on [18F]F-PSMA-1007. Intra-individual comparison of liver uptake between the two scans showed a linear association for liver uptake with SUVmean [68Ga]Ga-PSMA-11 = 0.33 x SUVmean [18F]F-PSMA-1007 + 1.52 (r = .78, p < .001). Comparing biodistribution of [68Ga]Ga and [18F]F tracers, liver uptake on [68Ga]Ga-PSMA-11 PET is the most robust internal reference value. Liver uptake of [18F]F-PSMA-1007 was significantly higher, but so was the splenic uptake. The strong intra-individual association of hepatic accumulation between the two scans may allow using of a conversion factor for [18F]F-PSMA-1007 as a basis for RLT selection.
除了临床参数外,[68Ga]Ga-PSMA-11 PET的肝摄取量还被用作选择[177Lu]Lu-PSMA-617放射性配体治疗(RLT)患者的内部参考。由于需求增加,[68Ga]Ga-PSMA-11被[18F]F-PSMA-1007取代,后者是一种亲脂性更强的示踪剂,具有不同的生物分布和脾脏摄取能力,被建议作为新的内部参考。我们比较了[68Ga]Ga-PSMA-11和[18F]F-PSMA-1007在患者体内的示踪剂分布。我们纳入了在两个中心接受 PET 检查的 50 名患者,他们在一年内同时接受了[18F]F-PSMA-1007 和 [68Ga]Ga-PSMA-11 的检查。获得了肝脏、脾脏、唾液腺、血池和骨骼的平均标准化摄取值(SUVmean)。此外,还评估了原发肿瘤、局部复发、淋巴结、骨或内脏转移情况,以进行个体内和个体间比较。与[68Ga]Ga-PSMA-11(5.4 ± 1.7,p < .05)相比,[18F]F-PSMA-1007的肝脏SUVmean(11.7 ± 3.9)以及脾脏SUVmean(11.2 ± 3.5 vs. 8.1 ± 3.5,p < .05)明显更高。两次扫描的血池相当。恶性病变在[18F]F-PSMA-1007上未显示出更高的SUVmean。两次扫描的肝脏摄取量的个体内比较显示,肝脏摄取量与[68Ga]Ga-PSMA-11的SUVmean值呈线性关系,即[68Ga]Ga-PSMA-11 = 0.33 x SUVmean [18F]F-PSMA-1007 + 1.52 (r = .78, p < .001)。比较[68Ga]Ga和[18F]F示踪剂的生物分布,[68Ga]Ga-PSMA-11 PET的肝摄取量是最可靠的内部参考值。肝脏对[18F]F-PSMA-1007的摄取量明显较高,但脾脏摄取量也较高。两种扫描结果在个体内部的肝脏蓄积量有很强的关联性,因此可以使用[18F]F-PSMA-1007的换算系数作为选择RLT的依据。
{"title":"Evaluating the biodistribution for [68Ga]Ga-PSMA-11 and [18F]F-PSMA-1007 PET/CT with an inter- and intrapatient based analysis","authors":"Cristina E. Popescu, Boya Zhang, Thomas Sartoretti, Noel Spielhofer, Stephan Skawran, Jakob Heimer, Michael Messerli, Alexander Sauter, Martin W. Huellner, Philipp A. Kaufmann, Irene A. Burger, Alexander Maurer","doi":"10.1186/s13550-024-01097-3","DOIUrl":"https://doi.org/10.1186/s13550-024-01097-3","url":null,"abstract":"Liver uptake in [68Ga]Ga-PSMA-11 PET is used as an internal reference in addition to clinical parameters to select patients for [177Lu]Lu-PSMA-617 radioligand therapy (RLT). Due to increased demand, [68Ga]Ga-PSMA-11 was replaced by [18F]F-PSMA-1007, a more lipophilic tracer with different biodistribution and splenic uptake was suggested as a new internal reference. We compared the intra-patient tracer distribution between [68Ga]Ga-PSMA-11 and [18F]F-PSMA-1007. Fifty patients who underwent PET examinations in two centers with both [18F]F-PSMA-1007 and [68Ga]Ga-PSMA-11 within one year were included. Mean standardized uptake values (SUVmean) were obtained for liver, spleen, salivary glands, blood pool, and bone. Primary tumor, local recurrence, lymph node, bone or visceral metastasis were also assessed for intra- and inter-individual comparison. Liver SUVmean was significantly higher with [18F]F-PSMA-1007 (11.7 ± 3.9) compared to [68Ga]Ga-PSMA-11 (5.4 ± 1.7, p < .05) as well as splenic SUVmean (11.2 ± 3.5 vs.8.1 ± 3.5, p < .05). The blood pool was comparable between the two scans. Malignant lesions did not show higher SUVmean on [18F]F-PSMA-1007. Intra-individual comparison of liver uptake between the two scans showed a linear association for liver uptake with SUVmean [68Ga]Ga-PSMA-11 = 0.33 x SUVmean [18F]F-PSMA-1007 + 1.52 (r = .78, p < .001). Comparing biodistribution of [68Ga]Ga and [18F]F tracers, liver uptake on [68Ga]Ga-PSMA-11 PET is the most robust internal reference value. Liver uptake of [18F]F-PSMA-1007 was significantly higher, but so was the splenic uptake. The strong intra-individual association of hepatic accumulation between the two scans may allow using of a conversion factor for [18F]F-PSMA-1007 as a basis for RLT selection.","PeriodicalId":11611,"journal":{"name":"EJNMMI Research","volume":"58 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140584207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-04DOI: 10.1186/s13550-024-01102-9
Gregory Mathoux, Cecilia Boccalini, Aurelien Lathuliere, Max Scheffler, Giovanni B. Frisoni, Valentina Garibotto
This case report presents a patient with progressive memory loss and choreiform movements. Neuropsychological tests indicated multi-domain amnestic mild cognitive impairment (aMCI), and neurological examination revealed asymmetrical involuntary hyperkinetic movements. Imaging studies showed severe left-sided atrophy and hypometabolism in the left frontal and temporoparietal cortex. [18F]Flortaucipir PET exhibited moderately increased tracer uptake in hypometabolic areas. The diagnosis initially considered Alzheimer’s disease (AD), frontotemporal degeneration (FTD), and corticobasal degeneration (CBD), cerebral hemiatrophy syndrome, but imaging and cerebrospinal fluid analysis excluded AD and suggested fused-in-sarcoma-associated FTD (FTLD-FUS), a subtype of the behavioural variant of FTD. Our case highlights that despite the lack of specific FUS biomarkers the combination of clinical features and neuroimaging biomarkers can guide choosing the most likely differential diagnosis in a complex neurological case. Imaging in particular allowed an accurate measure of the topography and severity of neurodegeneration and the exclusion of AD-related pathology.
本病例报告介绍了一名渐进性失忆和舞蹈状运动的患者。神经心理测试表明患者存在多域失忆性轻度认知障碍(aMCI),神经系统检查显示患者存在不对称的不自主过度运动。影像学检查显示,患者左侧额叶和颞顶叶皮层严重萎缩,代谢低下。[18F]Flortaucipir PET显示,代谢低下区域的示踪剂摄取量中度增加。诊断最初考虑为阿尔茨海默病(AD)、额颞变性(FTD)和皮质基底变性(CBD)、脑半萎缩综合征,但影像学和脑脊液分析排除了AD,并提示融合肉瘤相关FTD(FTLD-FUS),这是FTD行为变异的一种亚型。我们的病例突出表明,尽管缺乏特异性 FUS 生物标志物,但临床特征和神经影像学生物标志物的结合可以指导在复杂的神经系统病例中选择最可能的鉴别诊断。尤其是影像学检查可以准确测量神经变性的地形和严重程度,并排除 AD 相关病理。
{"title":"Neuroimaging-guided diagnosis of possible FTLD-FUS pathology: a case report","authors":"Gregory Mathoux, Cecilia Boccalini, Aurelien Lathuliere, Max Scheffler, Giovanni B. Frisoni, Valentina Garibotto","doi":"10.1186/s13550-024-01102-9","DOIUrl":"https://doi.org/10.1186/s13550-024-01102-9","url":null,"abstract":"This case report presents a patient with progressive memory loss and choreiform movements. Neuropsychological tests indicated multi-domain amnestic mild cognitive impairment (aMCI), and neurological examination revealed asymmetrical involuntary hyperkinetic movements. Imaging studies showed severe left-sided atrophy and hypometabolism in the left frontal and temporoparietal cortex. [18F]Flortaucipir PET exhibited moderately increased tracer uptake in hypometabolic areas. The diagnosis initially considered Alzheimer’s disease (AD), frontotemporal degeneration (FTD), and corticobasal degeneration (CBD), cerebral hemiatrophy syndrome, but imaging and cerebrospinal fluid analysis excluded AD and suggested fused-in-sarcoma-associated FTD (FTLD-FUS), a subtype of the behavioural variant of FTD. Our case highlights that despite the lack of specific FUS biomarkers the combination of clinical features and neuroimaging biomarkers can guide choosing the most likely differential diagnosis in a complex neurological case. Imaging in particular allowed an accurate measure of the topography and severity of neurodegeneration and the exclusion of AD-related pathology.","PeriodicalId":11611,"journal":{"name":"EJNMMI Research","volume":"43 1","pages":""},"PeriodicalIF":3.2,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140583977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}