Nuklearmedizin. Nuclear medicine最新文献

{"title":"Artificial Intelligence in Oncological Hybrid Imaging.","authors":"Benedikt Feuerecker,&nbsp;Maurice M Heimer,&nbsp;Thomas Geyer,&nbsp;Matthias P Fabritius,&nbsp;Sijing Gu,&nbsp;Balthasar Schachtner,&nbsp;Leonie Beyer,&nbsp;Jens Ricke,&nbsp;Sergios Gatidis,&nbsp;Michael Ingrisch,&nbsp;Clemens C Cyran","doi":"10.1055/a-2157-6810","DOIUrl":"https://doi.org/10.1055/a-2157-6810","url":null,"abstract":"<p><strong>Background: </strong> Artificial intelligence (AI) applications have become increasingly relevant across a broad spectrum of settings in medical imaging. Due to the large amount of imaging data that is generated in oncological hybrid imaging, AI applications are desirable for lesion detection and characterization in primary staging, therapy monitoring, and recurrence detection. Given the rapid developments in machine learning (ML) and deep learning (DL) methods, the role of AI will have significant impact on the imaging workflow and will eventually improve clinical decision making and outcomes.</p><p><strong>Methods and results: </strong> The first part of this narrative review discusses current research with an introduction to artificial intelligence in oncological hybrid imaging and key concepts in data science. The second part reviews relevant examples with a focus on applications in oncology as well as discussion of challenges and current limitations.</p><p><strong>Conclusion: </strong> AI applications have the potential to leverage the diagnostic data stream with high efficiency and depth to facilitate automated lesion detection, characterization, and therapy monitoring to ultimately improve quality and efficiency throughout the medical imaging workflow. The goal is to generate reproducible, structured, quantitative diagnostic data for evidence-based therapy guidance in oncology. However, significant challenges remain regarding application development, benchmarking, and clinical implementation.</p><p><strong>Key points: </strong>  · Hybrid imaging generates a large amount of multimodality medical imaging data with high complexity and depth.. · Advanced tools are required to enable fast and cost-efficient processing along the whole radiology value chain.. · AI applications promise to facilitate the assessment of oncological disease in hybrid imaging with high quality and efficiency for lesion detection, characterization, and response assessment. The goal is to generate reproducible, structured, quantitative diagnostic data for evidence-based oncological therapy guidance.. · Selected applications in three oncological entities (lung, prostate, and neuroendocrine tumors) demonstrate how AI algorithms may impact imaging-based tasks in hybrid imaging and potentially guide clinical decision making..</p>","PeriodicalId":94161,"journal":{"name":"Nuklearmedizin. Nuclear medicine","volume":"62 5","pages":"296-305"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41166719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analyzing the potential of radiomics features and radiomics signature from pretherapeutic PSMA-PET-CT scans and clinical data for prediction of overall survival when treated with Lu[177]-PSMA","authors":"S. Moazemi, A. Erle, M. Essler, R. Bundschuh","doi":"10.1055/S-0041-1726854","DOIUrl":"https://doi.org/10.1055/S-0041-1726854","url":null,"abstract":"","PeriodicalId":94161,"journal":{"name":"Nuklearmedizin. Nuclear medicine","volume":"23 1","pages":"181"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73749702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simultane Ganzkörper-PET/MRT bei pädiatrischen Patienten mit Hodgkin-Lymphom – eine evidenzbasierte Empfehlung für die MRT-Sequenzauswahl","authors":"T. Georgi, D. Stoevesandt, L. Kurch, J. Bartelt, D. Hasenclever, D. Körholz, C. Mauz-Körholz, O. Sabri, R. Kluge","doi":"10.1055/S-0041-1726759","DOIUrl":"https://doi.org/10.1055/S-0041-1726759","url":null,"abstract":"","PeriodicalId":94161,"journal":{"name":"Nuklearmedizin. Nuclear medicine","volume":"13 1","pages":"153 - 154"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72751096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"18F-FDG PET radiomics predicts pathological data and survival of intrahepatic cholangiocarcinoma","authors":"F. Fiz, G. Costa, M. Laino, M. Sollini, G. Torzilli, A. Chiti, L. Viganò","doi":"10.1055/S-0041-1726857","DOIUrl":"https://doi.org/10.1055/S-0041-1726857","url":null,"abstract":"","PeriodicalId":94161,"journal":{"name":"Nuklearmedizin. Nuclear medicine","volume":"8 1","pages":"182"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74563724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The radiofluorination of silicon-rhodamines for bimodal PET and NIR-optical imaging [PET/OI]","authors":"T. Kanagasundaram, M. Laube, C. Kramer, S. Stadlbauer, Jens Pietzsch, K. Kopka","doi":"10.1055/S-0041-1726775","DOIUrl":"https://doi.org/10.1055/S-0041-1726775","url":null,"abstract":"","PeriodicalId":94161,"journal":{"name":"Nuklearmedizin. Nuclear medicine","volume":"90 1","pages":"143 - 144"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80467817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Threshold-based meningioma delineation in SSR-targeted PET","authors":"A. Holzgreve, L. Kaiser, Zhenyu Li, L. Gold, P. Bartenstein, N. Albert","doi":"10.1055/S-0041-1726752","DOIUrl":"https://doi.org/10.1055/S-0041-1726752","url":null,"abstract":"","PeriodicalId":94161,"journal":{"name":"Nuklearmedizin. Nuclear medicine","volume":"17 1","pages":"148"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81604591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intravenous Lu-177 radionuclide therapies administered with a new versatile shielded application system","authors":"C. Kühnel, T. Winkens, T. Niksch, J. Greiser, S. Schrott, R. Drescher, M. Freesmeyer","doi":"10.1055/S-0041-1726721","DOIUrl":"https://doi.org/10.1055/S-0041-1726721","url":null,"abstract":"","PeriodicalId":94161,"journal":{"name":"Nuklearmedizin. Nuclear medicine","volume":"21 1","pages":"164"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85004816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bestimmung der arteriellen Input-Funktion in Mäusen: Charakterisierung der Dispersion in einem extrakorporalen Shunt-System","authors":"F. Büther, F. Gierse, K. Schäfers, S. Hermann, M. Schäfers, P. Backhaus","doi":"10.1055/S-0041-1726738","DOIUrl":"https://doi.org/10.1055/S-0041-1726738","url":null,"abstract":"","PeriodicalId":94161,"journal":{"name":"Nuklearmedizin. Nuclear medicine","volume":"188 1","pages":"150"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76901770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhanced PSMA expression in three prostate cancer cell lines after treatment with enzalutamide: implications for Lu-177-PSMA617 radioligand therapy","authors":"M. Staniszewska, JM Klose, J. Wosniack, P. Fragoso Costa, M. Nader, B. Hadaschik, KM Lückerath, K. Herrmann, W. Fendler, J. Iking","doi":"10.1055/S-0041-1726770","DOIUrl":"https://doi.org/10.1055/S-0041-1726770","url":null,"abstract":"","PeriodicalId":94161,"journal":{"name":"Nuklearmedizin. Nuclear medicine","volume":"3 1","pages":"167"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78347665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ein befüllbares Einkompartiment-Nierenphantom mit inhomogener Aktivitätsverteilung","authors":"A. Theisen, M. Lassmann, J. Tran-Gia","doi":"10.1055/S-0041-1726720","DOIUrl":"https://doi.org/10.1055/S-0041-1726720","url":null,"abstract":"","PeriodicalId":94161,"journal":{"name":"Nuklearmedizin. Nuclear medicine","volume":"569 1","pages":"163 - 164"},"PeriodicalIF":0.0,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73294899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}