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DTSTART;TZID=Europe/Vienna:20250207T133000
DTEND;TZID=Europe/Vienna:20250207T143000
DTSTAMP:20260421T235526
CREATED:20241017T075631Z
LAST-MODIFIED:20250203T100308Z
UID:1920-1738935000-1738938600@esmit.eanm.org
SUMMARY:Bone Scan Beyond Oncological Disease
DESCRIPTION:The webinar primarily focuses on the clinical value and implementation of early phase SPECT-CT in non-oncological settings\, emphasizing its advantages over traditional planar imaging and late-phase bone scans. It highlights the diagnostic enhancement of early-phase imaging for inflammatory conditions\, pain assessment\, and soft-tissue evaluation. \n\n\n\nNew treatment options for cardiac amyloidosis are increasing interest in early diagnosis of the disease. DPD scan is an excellent and non-invasive diagnostic modality in this diagnosis\, but detailed local\, whole body and SPECT/CT including calculation of different ratios are necessary for an accurate diagnosis. The presentation showed the performance of the examination\, clinical and medical letter examples.  \n\n\n\n\n\n\n\nRegister nowEnrol in the live webinar now for free! Register now\n\n\n\n\n\n\n\nFaculty\n\n\n\n\n\nJules Zhang-YinSpeakerArlon\, Belgium \n\n\n\n\n\nKnut LiepeSpeakerFrankfurt (Oder)\, Germany \n\n\n\n\n\n\n\n\n\nEvent Overview
URL:https://esmit.eanm.org/event/bone-scan-beyond-oncological-disease/
CATEGORIES:Clinical Nuclear Medicine,Live Webinars
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BEGIN:VEVENT
DTSTART;TZID=Europe/Vienna:20250213T090000
DTEND;TZID=Europe/Vienna:20250214T160000
DTSTAMP:20260421T235526
CREATED:20241017T082805Z
LAST-MODIFIED:20250214T120538Z
UID:1946-1739437200-1739548800@esmit.eanm.org
SUMMARY:Artificial Intelligence in Nuclear Medicine – Current Status and Future Perspective
DESCRIPTION:Artificial intelligence with the development of deep learning has found numerous applications in the medical field over the past few years\, including more specifically that of medical imaging. This includes most areas governing the medical imaging process from detector signal processing to image formation and subsequent image processing. The activity of deep learning spans from the more fundamental aspects such as image reconstruction and associated corrections to more clinical applications driven developments such as that of imaging biomarkers and their usage in patient classification for diagnosis or therapy response monitoring. Although most of these developments are still part of active research\, certain software solutions are slowly finding their way in mainstream clinical reality with multiple clinical evaluation studies currently underway. The course will cover an overview of the main developments of deep learning in the different areas of image formation\, processing and associated clinical applications within the field of nuclear medical imaging and associated multimodalities. Certain examples of potential clinical interest will be covered in each of the above-mentioned areas. \n\n\n\n\n\n\n\nRegister nowRegistration now closed. For last minute interest\, please contact esmit@eanm.org \n\n\n\n\n\n\n\n\nLearning Objectives\n\n\n\n\n\nUnderstand the basic principles of deep learning algorithm development\n\n\n\nLearn the latest developments in the use of deep learning for image reconstruction in nuclear and multimodality imaging\n\n\n\nLearn the latest developments in the use of deep learning for image corrections (attenuation\, scatter\, etc) in nuclear and multimodality imaging\n\n\n\nLearn the latest developments in the use of deep learning for image processing (eg. segmentation\, biomarkers) in nuclear and multimodality imaging\n\n\n\nLearn the latest developments in the use of deep learning for potential clinical applications (low dose imaging\, dosimetry\, diagnosis\, predictive and prognostic modeling) in nuclear and multimodality imaging\n\n\n\n\n\n\n\nTarget Audience\n\n\n\n\n\nMedical doctors (nuclear medicine\, radiology)\, Medical Physicists\, Technologists\n\n\n\n\n\n\n\n\n\nProgrammeView the preliminary programme. Please note it is subject to change. View the Programme\n\n\n\n\n\n\n\n\nFaculty\n\n\n\n\n\nStephan NekollaSpeaker \n\n\n\n\n\nMartina SolliniSpeaker \n\n\n\n\n\nDimitris VisvikisSpeaker \n\n\n\n\n\nRegistration Details\n\n\n\nRegistration FeeMode of PaymentCancellation Policy\n\nCourse Fee               € 950.- \n\n\n\nRegistration Fee includes: \n\n\n\n\nElectronic Course Book\, including all Slides\n\n\n\nCoffee & Lunch Breaks on each Course Day\n\n\n\n\nRegistration Fee does NOT include: \n\n\n\n\nTravel to the Venue\n\n\n\nAccommodation\n\n\n\n\n\n\nRegistration fees need to be paid 1 week prior to the event. In case the payment is not received by this deadline\, the registration needs to be cancelled. Payment can be settled by Credit Card Cheques will not be accepted \n\n\n\n\n\nCancellations must be notified in writing to the EANM Office. Telephone cancellations cannot be accepted. Substitutions will be accepted if the name and e-mail address of the substitute are sent to the EANM Office 4 weeks prior to the event. In the case of cancellation 4 weeks before the course\, we will refund you the fee less a € 100\,- administration charge. After this date\, we cannot grant any refund for cancellations. Any refund will take place after the respective course. EANM will not be held liable for cancellation fees of hotels\, airlines or other means of transportation.
URL:https://esmit.eanm.org/event/artificial-intelligence-in-nuclear-medicine-current-status-and-future-perspective/
LOCATION:Future Health Lab\, Alfred-Adler-Straße 1\, Vienna\, 1100\, Austria
CATEGORIES:AI & Quantification,Onsite Course
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DTSTART;TZID=Europe/Vienna:20250221T133000
DTEND;TZID=Europe/Vienna:20250221T143000
DTSTAMP:20260421T235526
CREATED:20241017T075932Z
LAST-MODIFIED:20250217T121048Z
UID:1922-1740144600-1740148200@esmit.eanm.org
SUMMARY:Surgery in Neuroendocrine Neoplasms (NENs)
DESCRIPTION:Neuroendocrine tumours (NETs) are a rare but clinically significant group of malignancies arising from neuroendocrine cells\, often presenting in the gastrointestinal tract or lungs. While NETs account for a small fraction of overall cancer cases\, their incidence is steadily rising. Radioguided surgery has emerged as a highly effective approach for treating NETs\, particularly in cases of primary tumours or oligometastatic disease\, where nuclear medicine imaging precisely localizes the lesions and surgical resection is feasible. \n\n\n\nThis session will explore the current landscape of radioguided surgery\, with a specific focus onneuroendocrine tumour applications. We will begin by reviewing the latest tracers and instrumentation employed in radioguided procedures\, discussing their mechanisms\, advantages\, and limitations. Following this\, we will delve into the clinical integration of these tracers and devices\, examining their role in the routine surgical workflow for NETs. By highlighting the practical implications and clinical outcomes\, this session aims to provide attendees with actionable insights into advancing care for patients with neuroendocrine tumours. \n\n\n\n \n\n\n\n\n\n\n\nRegister nowEnrol in the live webinar now for free! Register now\n\n\n\n\n\n\n\n\nLearning Objectives\n\n\n\n\n\nAttendees will be able to describe the latest advancements in radiotracers and surgical instrumentation for radioguided neuroendocrine tumour surgery\, including their mechanisms of action and clinical benefits. \n\n\n\nAttendees will be able to evaluate the indications for radioguided surgery in neuroendocrine tumours\, such as primary tumours and oligometastatic disease\, based on pre-operative nuclear medicine imaging. \n\n\n\nAttendees will be able to outline the steps required to integrate novel radiotracers and devices into the clinical workflow\, from surgical planning to intraoperative application\, with a focus on improving patient outcomes.\n\n\n\n\n\n\n\nTarget Audience\n\n\n\n\n\nSurgical oncologists\, nuclear medical physicians\, medical physicists\n\n\n\n\n\n\nFaculty\n\n\n\n\n\nThomas WendlerModerator \n\n\n\n\n\nPedro Fragoso Costa Speaker \n\n\n\n\n\nJohn Orozco CortesSpeaker \n\n\n\n\n\n\n\n\n\nEvent Overview
URL:https://esmit.eanm.org/event/surgery-in-neuroendocrine-neoplasms-nens/
CATEGORIES:Clinical Nuclear Medicine,Live Webinars
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