🔴New Paper Alert "Amyloid-PET imaging predicts functional decline in clinically normal individuals" published in BMC. @Mercè Boada Rovira, MD, PhD @Marta Marquié, MD, PhD et al. There is good evidence that elevated amyloid-β (Aβ) positron emission tomography (PET) signal is associated with cognitive decline in clinically normal (CN) individuals. However, it is less well established whether there is an association between the Aβ burden and decline in daily living activities in this population. Moreover, Aβ-PET Centiloids (CL) thresholds that can optimally predict functional decline have not yet been established. Read it 👇
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Product Manager | Health Tech Content Specialist | Simplifying digital health one word at a time| AI & cybersecurity in healthcare.
The #FDA has cleared BrainSpec's innovative magnetic resonance spectroscopy (MRS) platform for non-invasive brain chemistry measurement. This development marks a significant stride in medical imaging, and the #AI-powered technology promises to transform the diagnostic landscape for brain-related illnesses, including #Alzheimer's disease, #MS, #epilepsy, and #low-grade gliomas. https://lnkd.in/dpJmzmK5
FDA Clears BrainSpec's AI-Powered MRS Platform: A Revolutionary Brain Tumor Diagnosis
healthandpharma.net
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Multi-parametric hyperpolarized 13C/1H imaging reveals Warburg-related metabolic dysfunction and associated regional heterogeneity in high-grade human gliomas
https://ift.tt/KoXAsNI
sciencedirect.com
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https://lnkd.in/derJkZgP Conventional magnetic resonance imaging (MRI) at 1.5 Tesla (T) is limited by modest spatial resolution and signal-to-noise ratio (SNR), impeding the identification and classification of inflammatory central nervous system changes in current clinical practice. Gaining from enhanced susceptibility effects and improved SNR, ultrahigh field MRI at 7 T depicts inflammatory brain lesions in great detail. This review summarises recent reports on 7 T MRI in neuroinflammatory diseases and addresses the question as to whether ultrahigh field MRI may eventually improve clinical decision-making and personalised disease management.
Ultrahigh field MRI in clinical neuroimmunology: a potential contribution to improved diagnostics and personalised disease management - EPMA Journal
link.springer.com
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Multimodality imaging in arrhythmogenic cardiomyopathy - From diagnosis to management. 10.1016/j.ijcard.2024.132023
Multimodality imaging in arrhythmogenic cardiomyopathy - From diagnosis to management
internationaljournalofcardiology.com
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https://lnkd.in/derJkZgP Conventional magnetic resonance imaging (MRI) at 1.5 Tesla (T) is limited by modest spatial resolution and signal-to-noise ratio (SNR), impeding the identification and classification of inflammatory central nervous system changes in current clinical practice. Gaining from enhanced susceptibility effects and improved SNR, ultrahigh field MRI at 7 T depicts inflammatory brain lesions in great detail. This review summarises recent reports on 7 T MRI in neuroinflammatory diseases and addresses the question as to whether ultrahigh field MRI may eventually improve clinical decision-making and personalised disease management.
Ultrahigh field MRI in clinical neuroimmunology: a potential contribution to improved diagnostics and personalised disease management - EPMA Journal
link.springer.com
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Our recently published neuroimage paper in the Journal of Magnetic Resonance Imaging (Wiley) investigated the potential of perfusion-weighted imaging (#PWI) parameters, specifically cerebral blood volume (#CBV) and cerebral blood flow (#CBF), in differentiating high-grade gliomas (#HGGs) from brain metastases (#BMs). Key Findings: * HGGs showed a significant modest increase in CBF and CBV compared to BMs. * ASL-derived CBF may be more useful than DSC-derived CBF in differentiating HGGs from BMs. * This suggests that #ASL may be used as an alternative to #DSC when contrast medium is contraindicated or when intravenous injection is not feasible. This research provides valuable insights for clinicians seeking to improve the accuracy of #HGG and #BM diagnosis using non-invasive PWI techniques. To learn more about this research, please refer to the full article: https://lnkd.in/d4m2DcQC Special thanks to my ripe scholars who contributed to this work. Sana Mohammadi, Ali Fathi Jouzdani, Iman Azinkhah, Sanaz Alibabaei, Mobin Azami, and vida omrani
Differentiation Between High‐Grade Glioma and Brain Metastasis Using Cerebral Perfusion‐Related Parameters (Cerebral Blood Volume and Cerebral Blood Flow): A Systematic Review and Meta‐Analysis of Perfusion‐weighted MRI Techniques
onlinelibrary.wiley.com
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Do you need MRI protocols to kick-start your ARIA monitoring clinical routine? ASNR Alzheimer’s Disease monitoring protocols for disease modifying therapies are now downloadable free-of-charge on MAGNETOM World. In recent breakthroughs, drugs that can slow the progress of Mild Cognitive Impairment (MCI) – the early stage of #Alzheimer’s Disease (AD) – have become available, providing new hope to AD patients and their families and friends. Possible side effects of these drugs are called Amyloid Related Imaging Abnormalities (#ARIA), and #MRI is the method of choice to monitor for the occurrence of ARIA. The American Society for Neuroradiology (ASNR) has published a white paper on this topic (see https://lnkd.in/d6rCnUS8), and based on this publication our long-term collaboration partner Tammie Benzinger from Washington University in St. Louis/MO, USA, guided our efforts to generate protocols for ARIA monitoring for our core 3T and 1.5T #SiemensHealthineers MRI scanners. The protocols can be downladed free-of-charge on MAGNETOM World and could serve as a good starting point for you to get started setting up your own routine.
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Happy to announce that our software paper presenting the #open software #Raidionics in detail has now been published in Nature Scientific Reports. It is the #first open software to include segmentation and standardized reporting of both pre- and postoperative brain tumor segmentation. The software supports segmentation of preoperative #glioblastoma, diffuse lower-grade #glioma, #meningioma, and #metastasis, as well as #postoperative glioblastomas! We are always looking for collaborators and pilots to clinically assess the software. If you are interested, feel free to reach out to either me, David Bouget, or Ingerid Reinertsen. Congratulations to all coauthors that contributed to this publication: David Bouget, Demah Alsinan, Valeria Gaitán, Ragnhild Holden Helland, Ole Solheim, and Ingerid Reinertsen! • Paper: https://lnkd.in/dnMYrW7r • Website: https://lnkd.in/dj9T6TqA • Software: https://lnkd.in/d5VWNaX5 • Video: https://lnkd.in/d3Wxuzs3 Morten Dalsmo Øystein Risa Aksel Faanes Persson Philip De Witt Hamer Åse Sjømæling, Marit Kvikne, Thomas Langø #open #opensource #free #software #preoperative #postoperative #brain #tumor #reporting #visualization #onnxruntime #intel #diagnostics #health #healthcare #radiology #T1 #T2 #Flair #ai #ml #imageanalysis #sintef #sintefdigital #stolav #ntnu #Nature #scientificreports
Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting - Scientific Reports
nature.com
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CEO and Board Director at Polarean | Revolutionizing Pulmonary Medicine through Direct MRI Visualization of Lung Function
Is Long COVID still an issue? Recent data from the Centers for Disease Control and Prevention shows 6.8% of US adults affected, about 17.6 million people. The Symptoms range from brain fog to fatigue. Additionally, Pulmonary Long COVID presents further complications, affecting the lungs and respiratory system even after the initial infection has resolved. Symptoms include shortness of breath, persistent cough, and residual lung damage, significantly limiting day-to-day activities for over three-quarters of those affected. These staggering numbers highlight the urgent need for a deeper understanding. Lung abnormalities are the most common manifestations of Long COVID, and despite the prevalence, there's no clear diagnostic or treatment protocol. As the Polarean recent post represents, our collaborators, in a multicenter 135-patient study, identified four distinct disease characteristics of Long COVID through direct visualization of lung function using the #XenonMRI platform. This promising development holds the potential to help physicians and patients unravel the mysteries of their lung-related Long COVID. Kudos to our collaborators! 🙏👍💪🫁 #longcovidawareness #longcovid #PASC #COVID19
Congratulations to our collaborators Rachel Eddy, David Mummy, Peter Niedbalski, et al. on their recent original research publication entitled, “Cluster Analysis to Identify Long COVID Phenotypes Using 129Xe Magnetic Resonance Imaging: A Multi-centre Evaluation.” These researchers at The University of British Columbia, Duke University, and the University of Kansas Medical Center evaluated 135 participants and identified four 129Xe MRI long COVID phenotypes with distinct characteristics. #LongCOVID has been estimated to affect approximately 10% of individuals who experienced COVID-19. Polarean looks forward to continued clinical research using #XenonMRI to better understand and characterize Long COVID, as there are millions of people estimated to be struggling with this chronic disease. #PASC #PersonalizedCare #LungImaging #CollaborationInScience
Cluster Analysis to Identify Long COVID Phenotypes Using 129Xe Magnetic Resonance Imaging: A Multi-centre Evaluation
erj.ersjournals.com
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PhD Student MRC Doctoral Training Program Precision Medicine | University of Glasgow | University of Edinburgh
Happy to share our focused update on imaging biomarkers of Vascular Cognitive Impairment (VCI) now published in Stroke! We provide an evidence-based summary of the current state of potential imaging biomarkers of VCI focusing on magnetic resonance imaging (MRI) and computed tomography (CT), which are relevant to diagnosing and monitoring VCI. We focus on established markers, but also consider more recently described, including quantitative tissue markers of vascular injury. We also discuss issues around translation of research findings into clinical practice. Have a read! 🧠 https://lnkd.in/dWNgjx4d #imaging #biomarkers #MRI #CT #vascularcognitiveimpairment #dementia #stroke
Imaging Biomarkers of VCI: A Focused Update
ahajournals.org
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