Article
Radiology, Nuclear Medicine & Medical Imaging
Joseph G. Woods, S. Sophie Schauman, Mark Chiew, Michael A. Chappell, Thomas W. Okell
Summary: This study investigates the use of time-encoded arterial spin labeling (ASL) angiography to improve signal-to-noise ratio (SNR) by using larger flip angles. The results show that the time-encoded protocol significantly increases SNR compared to conventional protocols, and the use of variable flip angles further improves SNR. Optimization of background suppression can lead to additional improvements in SNR.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Neurosciences
Katja Neumann, Martin Schidlowski, Matthias Guenther, Tony Stoecker, Emrah Duezel
Summary: The study investigated the reliability and reproducibility of perfusion measures using an innovative Hadamard encoded pCASL sequence on healthy elderly individuals. The results demonstrated excellent reliability of CBF and ATT measures in different brain regions, with ATT appearing to be even more reliable than CBF. High intra-class correlation coefficients indicated substantial agreement of perfusion values acquired on two different MRI systems, suggesting potential improvements for future follow-up perfusion studies in aging and/or diseased brains.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Biophysics
Merlijn C. E. van der Plas, Sophie Schmid, Maarten J. Versluis, Thomas W. Okell, Matthias J. P. van Osch
Summary: In this study, a time-encoded pseudocontinuous arterial spin labeling (te-pCASL) scheme was combined with a golden angle radial readout to simultaneously acquire angiography and perfusion images from a single dataset. By retrospectively choosing a temporal window based on volunteer hemodynamics, high temporal resolution angiographic images were reconstructed at a minimum of 69 ms. The golden angle radial readout allowed for reconstruction of images with different spatial resolutions in a multislice acquisition, demonstrating the ability to display both inflow of labeled blood into arteries and tissue perfusion with full brain coverage.
NMR IN BIOMEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jun Liu, Juan Zhu, Yaxian Wang, Fei Wang, Hualin Yang, Nan Wang, Qingyun Chu, Qing Yang
Summary: This study demonstrates the value of arterial spin labeling (ASL) perfusion imaging in assessing the early efficacy of chemoradiotherapy for nasopharyngeal carcinoma (NPC). By investigating tumor blood flow parameters and their correlation with tumor atrophy rate, it is possible to predict the sensitivity to chemoradiotherapy and the presence of residual tumors.
INSIGHTS INTO IMAGING
(2022)
Article
Neurosciences
Fang Ye, Lei Du, Bing Liu, Xinying Gao, Aocai Yang, Die Liu, Yue Chen, Kuan Lv, Pengfei Xu, Yuanmei Chen, Jing Liu, Lipeng Zhang, Shijun Li, Amir Shmuel, Qi Zhang, Guolin Ma
Summary: This study compared cerebral blood flow using pCASL perfusion imaging in individuals with autism spectrum disorders (ASD) and typically developing children. The results showed that individuals with ASD had reduced cerebral blood flow in certain brain regions, and there were correlations between cerebral blood flow and clinical characteristics/developmental profile.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Environmental Sciences
Kai Wang, Huanxuan Guo, Xiaoyan Tian, Yanping Miao, Ping Han, Feng Jin
Summary: The efficacy of three-dimensional arterial spin labeling (3D-ASL) imaging in preoperative grading of brain gliomas was evaluated, and the discrepancy between 3D-ASL and contrast enhanced magnetic resonance imaging (CE-MRI) in grading gliomas was compared. The study found that 3D-ASL imaging is significant in preoperative grading of brain gliomas and may be more sensitive than CE-MRI in detection of tumor perfusion.
ENVIRONMENTAL TOXICOLOGY
(2023)
Article
Clinical Neurology
Yuki Kitazaki, Masamichi Ikawa, Tadanori Hamano, Hirohito Sasaki, Tomohisa Yamaguchi, Soichi Enomoto, Norimichi Shirafuji, Kouji Hayashi, Osamu Yamamura, Tetsuya Tsujikawa, Hidehiko Okazawa, Hirohiko Kimura, Yasunari Nakamoto
Summary: This study aimed to evaluate the clinical utility of ASL perfusion imaging in the diagnosis of CJD. The results showed that CJD patients exhibited ASL hypoperfusion in lesions with DWI hyperintensity, suggesting the potential diagnostic aid of ASL-CBF in CJD.
FRONTIERS IN NEUROLOGY
(2023)
Article
Medicine, General & Internal
Chien-Hung Lin, Tsyh-Jyi Hsieh, Yi-Chen Chou, Clement Kuen-Huang Chen
Summary: This study evaluated the performance of arterial spin labeling (ASL) in imaging musculoskeletal tumors and found that ASL can detect high tissue blood flow (TBF) in malignant tumors and hypervascular benign lesions. It is recommended to use a longer post-labeling delay (PLD) to differentiate musculoskeletal tumors.
Article
Radiology, Nuclear Medicine & Medical Imaging
Caroline Rutten, Ludovic Fillon, Mathieu Kuchenbuch, Ana Saitovitch, Jennifer Boisgontier, Nicole Chemaly, Delphine Breuillard, Lisa Ouss, Volodia Dangouloff-Ros, Thomas Blauwblomme, Monica Zilbovicius, Rima Nabbout, Nathalie Boddaert
Summary: This study investigated longitudinal changes in tuber and whole-brain perfusion in children with TSC using ASL-MRI. It found that perfusion was significantly reduced in tubers associated with EEG slow waves, and patients with severe developmental delay had more severe whole-brain hypoperfusion.
EUROPEAN RADIOLOGY
(2023)
Article
Neurosciences
Hongwei Yu, Yangchen Li, Yibo Feng, Linwei Zhang, Zeshan Yao, Zunjing Liu, Wenwen Gao, Yue Chen, Sheng Xie
Summary: This study analyzed the differences in mCBF and ATT between patients with ICAS and control subjects. The study found significant relationships between ATT and mCBF in both groups, and that extracranial blood flow may influence intracranial hemodynamics, particularly in the posterior circulation. Maintaining adequate extracranial blood flow is crucial for preserving intracranial hemodynamics in patients with ICAS.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ying Hu, Rongbo Liu, Fabao Gao
Summary: The study on 90 healthy adults found that the age-related perfusion patterns in most brain regions were best fitted by cubic models, and age-dependent CBF changes showed a nonlinear decreasing trend, with the rate of reduction slowing down with age.
KOREAN JOURNAL OF RADIOLOGY
(2021)
Article
Clinical Neurology
Xiaoyan Bai, Wei Wang, Xueyan Zhang, Zhangxuan Hu, Yingkui Zhang, Zhiye Li, Xue Zhang, Ziyu Yuan, Hefei Tang, Yaqing Zhang, Xueying Yu, Peng Zhang, Yonggang Wang, Binbin Sui
Summary: This study investigated the cerebral perfusion variations of new daily persistent headache (NDPH) and chronic migraine (CM) using multi-delay pseudo-continuous arterial spin-labeled magnetic resonance imaging (pCASL-MRI). The results showed different cerebral perfusion changes between NDPH and CM, providing hemodynamic evidence for distinguishing these two types of primary headaches.
JOURNAL OF HEADACHE AND PAIN
(2022)
Article
Physics, Multidisciplinary
Xiao Chen, Xi Li, Chengzhuo Xu, Zhihao Liu
Summary: This paper proposes a recursive circuit for quantum version of Walsh-Hadamard transform (QWHT) based on sequence ordering, which effectively processes discrete signals, images, and videos. Quantum circuits are designed to implement both QWHT and its inverse transform for a more intuitive representation. Simulation results on the IBM platform demonstrate the algorithm's effectiveness. Comparative analysis shows that the proposed sequency ordering QWHT approach outperforms the equivalent quantum version of the conventional WHT algorithm. Based on complexity analysis, our methods are exponentially faster than traditional WHTs.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Neurosciences
Xiaoyi He, Weiqiang Dou, Hao Shi
Summary: This study found that the combined use of DKI and 3D-ASL is helpful in diagnosing patients with BD, especially with FA, MD, Dr, and CBF parameters in the temporal WM region. Additionally, the kurtosis parameters of DKI can sensitively monitor the potentially damaged WM areas in patients with BD, adding complementary clinical value.
FRONTIERS IN NEUROSCIENCE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Gao Ma, Xiao-Quan Xu, Liu-Ning Zhu, Jia-Suo Jiang, Guo-Yi Su, Hao Hu, Shou-Shan Bu, Fei-Yun Wu
Summary: The findings suggest that IVIM and ASL imaging can help differentiate parotid gland tumors, with significant differences in D, D*, f, and SIR values among different tumor types. Additionally, a positive correlation between SIR on ASL imaging and f was observed, indicating the potential of ASL imaging in discriminating between malignant tumors and Warthin's tumors.
KOREAN JOURNAL OF RADIOLOGY
(2021)
Article
Neuroimaging
Adrian Mak, Charles Matouk, Emily W. Avery, Jonas Behland, Dietmar Frey, Vince Istvan Madai, Peter Vajkoczy, Ajay Malhotra, Anthony Abou Karam, Pina Sanelli, Guido J. Falcone, Nils H. Petersen, Lauren Sansing, Kevin N. Sheth, Seyedmehdi Payabvash
Summary: After adjusting for admission NIHSS, worse post-thrombectomy reperfusion is associated with larger infarct volume and worse discharge outcome in right-sided versus left-sided LVO.
JOURNAL OF NEUROINTERVENTIONAL SURGERY
(2022)
Article
Clinical Neurology
Alejandro Garcia-Rudolph, Joan Sauri, Blanca Cegarra, Vince Istvan Madai, Dietmar Frey, John D. Kelleher, Katryna Cisek, Eloy Opisso, Josep Maria Tormos, Montserrat Bernabeu
Summary: This study identifies three distinct classes of stroke patients based on their motor functional independence trajectories. These classes are characterized by different baseline clinical features and provide valuable insights into predicting long-term functional outcomes after stroke.
NEUROREHABILITATION
(2022)
Article
Clinical Neurology
Joji B. Kuramatsu, Stefan T. Gerner, Wendy Ziai, Juergen Bardutzky, Jochen A. Sembill, Maximilian Spruegel, Anne Mrochen, Kathrin Koelbl, Malathi Ram, Radhika Avadhani, Guido J. Falcone, Magdy H. Selim, Vasileios-Arsenios Lioutas, Matthias Endres, Sarah Zweynert, Peter Vajkoczy, Peter A. Ringleb, Jan C. Purrucker, Jens Volkmann, Hermann Neugebauer, Frank Erbguth, Peter D. Schellinger, Ulrich J. Knappe, Gereon R. Fink, Christian Dohmen, Jens Minnerup, Heinz Reichmann, Hauke Schneider, Joachim Roether, Gernot Reimann, Michael Schwarz, Hansjoerg Baezner, Joseph Classen, Dominik Michalski, Otto W. Witte, Albrecht Guenther, Gerhard F. Hamann, Hannes Luecking, Arnd Doerfler, Muhammad Fawad Ishfaq, Jason J. Chang, Fernando D. Testai, Daniel Woo, Andrei Alexandrov, Dimitre Staykov, Nitin Goyal, Georgios Tsivgoulis, Kevin N. Sheth, Issam A. Awad, Stefan Schwab, Daniel F. Hanley, Hagen B. Huttner
Summary: In patients with intracerebral hemorrhage (ICH), intraventricular fibrinolysis (IVF) treatment was associated with significantly improved functional outcomes at 6 months compared to standard of care. Early treatment within 48 hours had a better effect.
Article
Clinical Neurology
Fanny Quandt, Fabian Flottmann, Vince Madai, Anna Alegiani, Clemens Kuepper, Lars Kellert, Adam Hilbert, Dietmar Frey, Thomas Liebig, Jens Fiehler, Mayank Goyal, Jeffrey L. Saver, Christian Gerloff, Gotz Thomalla, Steffen Tiedt
Summary: This study aimed to evaluate the importance of EVT treatment and reperfusion level on functional outcome prediction in patients with LVO stroke. The results showed that the importance of reperfusion level was equivalent to EVT treatment allocation for outcome prediction, and was particularly important in patient groups with low NIHSS scores, low ASPECTS scores, and M2 occlusions.
TRANSLATIONAL STROKE RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Daniel Strech, Tamarinde Haven, Vince I. Madai, Thierry Meurers, Fabian Prasser
Summary: Effective and efficient management of privacy risks is crucial for digitalization in healthcare and the secondary use of patient data in research. Current frameworks focus on minimizing technical and organizational outcomes linked to data breaches, but there is a need to shift towards an outcome-oriented approach that considers person-specific privacy outcomes. This paper proposes a three-step approach to PRM, including specifying undesired outcomes, conducting empirical assessments, and studying the effectiveness of interventions in reducing frequency and severity of these outcomes.
JOURNAL OF BIOMEDICAL INFORMATICS
(2023)
Article
Multidisciplinary Sciences
Julia Amann, Effy Vayena, Kelly E. Ormond, Dietmar Frey, Vince I. Madai, Alessandro Blasimme
Summary: Artificial intelligence has the potential to transform clinical decision-making. However, due to its rare application in clinical practice, its utility and impact remain poorly understood. Using AI-powered decision support systems in stroke medicine as an example, this study examines the expectations and attitudes of stroke survivors, family members, and healthcare professionals towards medical AI. The findings highlight the positive attitudes towards medical AI but also raise concerns regarding interpersonal aspects, impact on roles and responsibilities, and patient rights to information and decision-making.
Article
Clinical Neurology
Tabea Kossen, Vince I. I. Madai, Matthias A. A. Mutke, Anja Hennemuth, Kristian Hildebrand, Jonas Behland, Cagdas Aslan, Adam Hilbert, Jan Sobesky, Martin Bendszus, Dietmar Frey
Summary: Stroke is a leading cause of death or disability. We propose a modified pix2pix GAN with a temporal component (temp-pix2pix-GAN) that automates the generation of expert-level perfusion maps. Our model shows high performance on acute stroke and steno-occlusive disease datasets, marking an important step towards fast patient stratification.
FRONTIERS IN NEUROLOGY
(2023)
Article
Clinical Neurology
Ela Marie Z. Akay, Adam Hilbert, Benjamin G. Carlisle, Vince I. Madai, Matthias A. Mutke, Dietmar Frey
Summary: This study systematically reviews the methodological robustness and clinical implementation constraints of AI-based clinical decision support systems in acute ischemic stroke. The findings reveal the heterogeneity of data sources, methods, and reporting practices, and suggest practical recommendations for successful implementation of AI research in stroke treatment and diagnosis.
Article
Clinical Neurology
Jonas Behland, Vince I. Madai, Orhun U. Aydin, Ela M. Akay, Tabea Kossen, Adam Hilbert, Jan Sobesky, Peter Vajkoczy, Dietmar Frey
Summary: Intracranial atherosclerotic disease (ICAD) poses a significant risk of subsequent stroke, and current prevention strategies are limited. This study performed the first quantitative validation of a simulation-based precision medicine framework for assessing cerebral hemodynamics in ICAD patients. The results showed low-to-moderate accuracy of the simulation, highlighting the need for further improvement in mechanistic simulations of brain hemodynamics for clinical application.
FRONTIERS IN NEUROLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Tabea Kossen, Manuel A. A. Hirzel, Vince I. I. Madai, Franziska Boenisch, Anja Hennemuth, Kristian Hildebrand, Sebastian Pokutta, Kartikey Sharma, Adam Hilbert, Jan Sobesky, Ivana Galinovic, Ahmed A. A. Khalil, Jochen B. B. Fiebach, Dietmar Frey
Summary: Privacy-preserving data sharing in medical imaging is challenging. This study proposes a solution using Wasserstein GAN and differential privacy guarantees to generate privacy-preserving TOF-MRA images for brain vessel segmentation. Results show that stricter privacy guarantees may lead to decreased segmentation performance and image similarity.
FRONTIERS IN ARTIFICIAL INTELLIGENCE
(2022)
Meeting Abstract
Clinical Neurology
D. Frey, A. Hilbert, J. Kelleher, N. Dengler, C. Wagner, V. Madai
INTERNATIONAL JOURNAL OF STROKE
(2022)
Meeting Abstract
Clinical Neurology
A. Hilbert, E. Akay, B. Carlisle, V. Madai, M. Mutke, D. Frey
INTERNATIONAL JOURNAL OF STROKE
(2022)
Meeting Abstract
Clinical Neurology
A. Hilbert, E. Akay, J. Rieger, R. Schoettler, R. Schymczyk, A. Khalil, I. Galinovic, J. Sobesky, V. Madai, D. Frey
INTERNATIONAL JOURNAL OF STROKE
(2022)
Meeting Abstract
Clinical Neurology
A. Hilbert, R. Schymczyk, R. Schoettler, V. Madai, A. Khalil, I. Galinovic, J. Sobesky, D. Frey
INTERNATIONAL JOURNAL OF STROKE
(2022)
Article
Genetics & Heredity
Marieke Bak, Vince Istvan Madai, Marie-Christine Fritzsche, Michaela Th. Mayrhofer, Stuart McLennan
Summary: Artificial intelligence in healthcare has the potential to improve safety, accuracy, and cost-effectiveness. However, accessing data is crucial to benefit from data-intensive medicine. While the conventional consent or anonymize approach is still dominant in European countries, it may undermine data-intensive medicine and harm patients. This paper contrasts different data governance approaches in the EU and discusses the ethical trade-offs and the need to prioritize data access for AI development.
FRONTIERS IN GENETICS
(2022)
