Nuklearmedizin-nuclear Medicine最新文献

{"title":"Correction: Synthesis of Prospective Multiple Time Points F-18 FDG PET Images from a Single Scan Using a Supervised Generative Adversarial Network.","authors":"Merhnoosh Karimipourfard, Sedigheh Sina, Fereshteh Khodadai Shoshtari, Mehrosadat Alavi","doi":"10.1055/a-2095-2016","DOIUrl":"https://doi.org/10.1055/a-2095-2016","url":null,"abstract":"","PeriodicalId":19238,"journal":{"name":"Nuklearmedizin-nuclear Medicine","volume":"62 2","pages":"e1"},"PeriodicalIF":1.5,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9577464","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}

{"title":"Synthesis of Prospective Multiple Time Points F-18 FDG PET Images from a Single Scan Using a Supervised Generative Adversarial Network.","authors":"Merhnoosh Karimipourfard,&nbsp;Sedigheh Sina,&nbsp;Fereshteh Khodadai Shoshtari,&nbsp;Mehrsadat Alavi","doi":"10.1055/a-2026-0784","DOIUrl":"https://doi.org/10.1055/a-2026-0784","url":null,"abstract":"<p><p>The cumulative activity map estimation are essential tools for patient specific dosimetry with high accuracy, which is estimated using biokinetic models instead of patient dynamic data or the number of static PET scans, owing to economical and time-consuming points of view. In the era of deep learning applications in medicine, the pix-to-pix (p2 p) GAN neural networks play a significant role in image translation between imaging modalities. In this pilot study, we extended the p2 p GAN networks to generate PET images of patients at different times according to a 60 min scan time after the injection of F-18 FDG. In this regard, the study was conducted in two sections: phantom and patient studies. In the phantom study section, the SSIM, PSNR, and MSE metric results of the generated images varied from 0.98-0.99, 31-34 and 1-2 respectively and the fine-tuned Resnet-50 network classified the different timing images with high performance. In the patient study, these values varied from 0.88-0.93, 36-41 and 1.7-2.2, respectively and the classification network classified the generated images in the true group with high accuracy. The results of phantom studies showed high values of evaluation metrics owing to ideal image quality conditions. However, in the patient study, promising results were achieved which showed that the image quality and training data number affected the network performance. This study aims to assess the feasibility of p2 p GAN network application for different timing image generation.</p>","PeriodicalId":19238,"journal":{"name":"Nuklearmedizin-nuclear Medicine","volume":"62 2","pages":"61-72"},"PeriodicalIF":1.5,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9947815","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}

{"title":"[Is there an unmet need to establish a young talent section \"Young DGN\" within the German Society of Nuclear Medicine (DGN)? - Results of a 2021/2022 web-based survey among German Nuclear Medicine professionals].","authors":"Yasemin Aylin Sahin,&nbsp;Friederike Eilsberger,&nbsp;Eric Einspänner,&nbsp;Johannes Kunz,&nbsp;Sarah Spreckelmeyer,&nbsp;Markus Luster,&nbsp;Winfried Brenner,&nbsp;Benjamin Kläsner,&nbsp;Adrien Holzgreve","doi":"10.1055/a-1984-8116","DOIUrl":"https://doi.org/10.1055/a-1984-8116","url":null,"abstract":"<p><strong>Aim: </strong>In various medical societies, dedicated young talent sections provide an important basis for promoting young members. However, the German Society of Nuclear Medicine (DGN) had not yet implemented such a section. Therefore, the aim of this work was to assess the opinion of nuclear medicine professionals in Germany on establishing a young talent section within the DGN (\"Young DGN\").</p><p><strong>Methods: </strong>An initiative group of young DGN members developed a survey questionnaire comprising 18 questions. The questionnaire was initially sent as a PDF to the members of the DGN University Committee (<i>Hochschulausschuss</i>) by e-mail on 10/12/2021. As an online survey, the questionnaire was then emailed at four additional time points between 12/23/2021 and 3/18/2022 via the <i>DGN eBrief</i> and on 2/23/2022 to the members of the mailing list of the <i>Berufsverband Deutscher Nuklearmediziner</i> (BDN).</p><p><strong>Results: </strong>The survey closed on 3/31/2022 with 111 responses (n=104 online surveys, n=7 PDFs). The median age of participants was 32.5 years (range, 20-80). 86% of participants indicated that they were interested in a Young DGN section, of which 67% were willing to participate. 79% indicated that nuclear medicine was an exciting field for them. 96% expressed interest in additional education offers and 60% in the establishment of a mentoring program. 75% believed that Young DGN would improve the visibility of the specialty.</p><p><strong>Conclusion: </strong>The survey results indicate strong support for the establishment of a young talent section within the DGN among nuclear medicine professionals in Germany. A large proportion of those who participated in the survey would envision active involvement. There was a particular consensus on the desire to expand the range of education and training activities.</p>","PeriodicalId":19238,"journal":{"name":"Nuklearmedizin-nuclear Medicine","volume":"62 2","pages":"55-60"},"PeriodicalIF":1.5,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9586094","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}

{"title":"F18-FDG PET/CT in a patient with Antisynthetase Syndrome.","authors":"Tina Nazerani-Zemann,&nbsp;Susanne Stanzel,&nbsp;Christian Gstettner,&nbsp;Reingard Maria Aigner,&nbsp;Birgit Pernthaler","doi":"10.1055/a-1996-0157","DOIUrl":"https://doi.org/10.1055/a-1996-0157","url":null,"abstract":"<p><p>More prevalent in women than men, Antisynthetase Syndrome is a rare and poorly defined autoimmune disease associated with interstitial lung disease, polymyositis, and dermatomyositis. In addition to various diagnostic tools, imaging modalities are needed in certain situations. A 42-year-old woman with Anti-Jo-1-positive Antisynthetase Syndrome presented with thoracic muscular pain. She underwent whole-body Fluorodeoxyglucose positron emission tomography/computed tomography (F18-FDG PET/CT) to evaluate the total extent of the muscles affected. Depicting symptomatic symmetric myositis of the intercostal muscles, F18-FDG PET/CT additionally revealed unusually extensive fasciitis of the lower extremities.</p>","PeriodicalId":19238,"journal":{"name":"Nuklearmedizin-nuclear Medicine","volume":"62 2","pages":"73-74"},"PeriodicalIF":1.5,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/74/8b/10-1055-a-1996-0157.PMC10063341.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9225282","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}

{"title":"[Hand in hand - the future of SPECT and PET imaging].","authors":"Friederike Eilsberger,&nbsp;Constantin Lapa,&nbsp;Benjamin Kläsner,&nbsp;Michael Andreas Schäfers,&nbsp;Markus Luster","doi":"10.1055/a-1998-8402","DOIUrl":"https://doi.org/10.1055/a-1998-8402","url":null,"abstract":"Institute 1 Department of Nuclear Medicine, University Hospital Marburg, Marburg, Germany 2 Medical Faculty, Nuclear Medicine, University of Augsburg, Augsburg, Germany 3 Department of Nuclear Medicine, Klinikum Konstanz, Konstanz, Germany 4 Department of Nuclear Medicine, University Hospital Münster, Münster, Germany Bibliografie Nuklearmedizin 2023; 62: 52–53 DOI 10.1055/a-1998-8402 ISSN 0029-5566 © 2023. Thieme. All rights reserved. Georg Thieme Verlag KG, Rüdigerstraße 14, 70469 Stuttgart, Germany","PeriodicalId":19238,"journal":{"name":"Nuklearmedizin-nuclear Medicine","volume":"62 2","pages":"52-53"},"PeriodicalIF":1.5,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9352942","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}

{"title":"Lutetium-177 PSMA radioligand therapy for metastatic castration resistant prostate cancer in Germany: population-based data with multicenter validation from 2016 to 2020","authors":"L. Flegar, S. Thoduka, D. Librizzi, M. Luster, A. Zacharis, H. Heers, N. Eisenmenger, H. Ahmadzadehfar, M. Eiber, W. Weber, C. Groeben, J. Huber","doi":"10.1055/s-0043-1766222","DOIUrl":"https://doi.org/10.1055/s-0043-1766222","url":null,"abstract":"Ziel/Aim To investigate the adoption and current trends of Lutetium-177 PSMA radioligand therapy (RLT) for metastatic castration-resistant prostate cancer (mCRPC) in Germany.","PeriodicalId":19238,"journal":{"name":"Nuklearmedizin-nuclear Medicine","volume":"92 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135419773","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}

{"title":"Novel Ga-68-FAPI PET/CT offers oncologic staging without COVID-19 vaccine-related pitfalls","authors":"T. Demmert, I. Maric, K. Pomykala, K. Lückerath, J. Siveke, B. Schaarschmidt, R. Hamacher, L. Kessler, N. Hirmas, K. Pabst, T. Bartel, K. Herrmann, W. Fendler","doi":"10.1055/s-0043-1766277","DOIUrl":"https://doi.org/10.1055/s-0043-1766277","url":null,"abstract":"Ziel/Aim The global SARS-CoV-2 vaccination campaign brought attention to a recent pitfall in tumor staging by PET/CT. Several publications reported a non-specific F-18-FDG tracer uptake in axillary lymph nodes after COVID-19 vaccination. Ga-68-FAPI PET/CT is a new oncologic imaging tool that may overcome this limitation.","PeriodicalId":19238,"journal":{"name":"Nuklearmedizin-nuclear Medicine","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135419774","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}

{"title":"Selective α-Synuclein PET Radiotracer Development- Characterization","authors":"B. Hooshyar Yousefi, B. C. Uzuegbunam, W. Paslawski, G. B. Kotipalli, M. Luster, D. Librizzi, W. Weber, P. Svenningsson, T. Arzberger","doi":"10.1055/s-0043-1766158","DOIUrl":"https://doi.org/10.1055/s-0043-1766158","url":null,"abstract":"Ziel/Aim The deposition of α-synuclein fibrils (α-syn) is a major feature that unites a group of neurodegenerative diseases collectively known as the synucleinopathies. Presently, the in vivo detection of this biomarker is not possible due to lack of suitable radiotracers. Scientists from academics and industry are interested to develop radiotracers for the early diagnosis of α-synucleinopathies. Disarylbisthiazoles (DABTAs) based ligands have been showing high affinity towards α-syn and excellent selectivity over tau and Aβ aggregates. The aim of this work is characterization of the radiotracers within competition binding assays, autoradiography and pharmacokinetics (PK) study to confirm their high binding affinity and optimized pharmacokinetics and utilize them as a promising α-syn PET tracer.","PeriodicalId":19238,"journal":{"name":"Nuklearmedizin-nuclear Medicine","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135419775","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}

{"title":"DGN-Summer School 2023","authors":"","doi":"10.1055/a-2040-9453","DOIUrl":"https://doi.org/10.1055/a-2040-9453","url":null,"abstract":"Wir freuen uns, nach einer 3-jährigen „Corona-Pause“ in diesem Jahr vom 24.-26. August 2023 die DGN-Summer School wieder an der Charité in Berlin zum Thema „Translational Research in Molecular Imaging and Radionuclide Therapy“ durchzuführen. Die wissenschaftliche Leitung liegt erneut bei Prof. Dr. Winfried Brenner, Berlin (D), Prof. Dr. Martin Gotthardt, Nijmegen (NL), und Prof. Dr. Felix M. Mottaghy, Aachen und Maastricht (NL).","PeriodicalId":19238,"journal":{"name":"Nuklearmedizin-nuclear Medicine","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136121894","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}

{"title":"Intraindividual Comparison of Physiologic [68Ga]Ga-PSMA-11 and [18F]PSMA-1007 Uptake in Ganglia in Patients with Prostate Cancer: a retrospective, monocentric analysis","authors":"E. Novruzov, D. Schmitt, K. Mattes-György, M. Beu, J. M. Henke, C. Antke, J. Cardinale, G. Niegisch, L. Schimmöller, F. L. Giesel, E. Mamlins","doi":"10.1055/s-0043-1766379","DOIUrl":"https://doi.org/10.1055/s-0043-1766379","url":null,"abstract":"Ziel/Aim Several studies indicate a relatively high rate of detection of benign findings, in particular ganglia, in PSMA PET imaging. To date, no studies have directly compared [68Ga]Ga-PSMA-11 and [18F]PSMA-1007 ganglionic uptake intraindividually and analyzed the different detection rates and underlying molecular and physical mechanisms. With this monocentric retrospective study, we sought to evaluate the intraindividual physiological ganglion uptake of different PSMA ligands.","PeriodicalId":19238,"journal":{"name":"Nuklearmedizin-nuclear Medicine","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135419771","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}