Review
Radiology, Nuclear Medicine & Medical Imaging
Sven Bambach, Mark Smith, P. Pearse Morris, Norbert G. Campeau, Mai-Lan Ho
Summary: Arterial spin labeling (ASL) is a noncontrast MRI technique used for quantitative evaluation of brain perfusion. This article discusses advanced applications of ASL across the lifespan, presenting case examples from children and adults with various pathologies. The article highlights the subtleties and pitfalls of ASL interpretation.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Thomas Lindner, Divya S. Bolar, Eric Achten, Frederik Barkhof, Antonio J. Bastos-Leite, John A. Detre, Xavier Golay, Matthias Guenther, Danny J. J. Wang, Sven Haller, Silvia Ingala, Hans R. Jaeger, Geon-Ho Jahng, Meher R. Juttukonda, Vera C. Keil, Hirohiko Kimura, Mai-Lan Ho, Maarten Lequin, Xin Lou, Jan Petr, Nandor Pinter, Francesca B. Pizzini, Marion Smits, Magdalena Sokolska, Greg Zaharchuk, Henk J. M. M. Mutsaerts
Summary: This article provides guidance on the clinical applications of arterial spin labeling (ASL) MRI, focusing on disease-specific considerations for sequence optimization and interpretation. It updates and expands on the recommendations from the 2015 ASL consensus paper, which lacked guidance on disease-specific parameters. The article covers various clinical scenarios, including acute ischemic stroke, brain tumors, and pediatric neuroradiology applications.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Review
Radiology, Nuclear Medicine & Medical Imaging
Manuel Taso, Veronica Aramendia-Vidaurreta, Erin K. K. Englund, Susan Francis, Suzanne Franklin, Ananth J. J. Madhuranthakam, Petros Martirosian, Krishna S. S. Nayak, Qin Qin, Xingfeng Shao, David L. L. Thomas, Zungho Zun, Maria A. A. Fernandez-Seara
Summary: This review article provides an overview of the developments and challenges in arterial spin labeling (ASL) perfusion imaging in the body outside of the brain. Specific challenges and developments in various body locations, including kidneys, lungs, heart, placenta, eye, liver, pancreas, and muscle, are discussed. The article also explores the possibilities of wider adoption of body ASL in clinical practice based on standardization efforts and recent advances in high/low-field systems and machine-learning.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Isabell K. Bones, Suzanne L. Franklin, Anita A. Harteveld, Matthias J. P. van Osch, Sophie Schmid, Jeroen Hendrikse, Chrit Moonen, Marijn van Stralen, Clemens Bos
Summary: Velocity-selective arterial spin labeling in renal perfusion imaging shows advantages over spatially selective pulsed arterial spin labeling techniques, reducing arterial transit time sensitivity and potentially providing efficient and accurate measurements even when increasing cutoff velocity to reduce labeling errors caused by motion.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Veterinary Sciences
Anne-Cecile Hoffmann, Yannick Ruel, Kirsten Gnirs, Stella Papageorgiou, Luca Zilberstein, Sarah Nahmani, Nathalie Boddaert, Hugues Gaillot
Summary: The study tested the feasibility of ASL using a 1.5 Tesla scanner in dogs and cats, providing recommendations for optimal quantification of cerebral blood flow. By implementing ASL sequences and optimizing CBF, valuable values for the characterization of various brain diseases in dogs and cats were obtained.
JOURNAL OF VETERINARY INTERNAL MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Suzanne L. Franklin, Isabell K. Bones, Anita A. Harteveld, Lydiane Hirschler, Marijn van Stralen, Qin Qin, Anneloes de Boer, Johannes M. Hoogduin, Clemens Bos, Matthias J. P. van Osch, Sophie Schmid
Summary: Flow-based ASL techniques provide an alternative to spatially selective techniques with similar performance in the brain and comparable performance in the kidney, with VSI-ASL showing the most potential in brain imaging. Further improvements are needed in kidney imaging to match FAIR's performance.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Neurosciences
Chenyang Zhao, Xingfeng Shao, Qinyang Shou, Samantha J. Ma, Sayim Gokyar, Christina Graf, Rudolf Stollberger, Danny J. J. Wang
Summary: This study presents a distortion-free three-dimensional pCASL sequence at 7T by optimizing labeling parameters, background suppression pulses, and readout sequence. In-vivo experiments demonstrate that this technique achieves whole-cerebrum coverage, high labeling efficiency, and high-resolution imaging without distortion.
Article
Neurosciences
Mathijs B. J. Dijsselhof, Michelle Barboure, Michael Stritt, Wibeke Nordhoy, Alle Meije Wink, Dani Beck, Lars T. Westlye, James H. Cole, Frederik Barkhof, Henk J. M. M. Mutsaerts, Jan Petr
Summary: This study investigated the optimal combination of structural and physiological MRI features and algorithms for brain age prediction. The addition of ASL features to structural brain age, combined with the ElasticNetCV algorithm, improved brain age prediction the most and performed best in a cross-sectional and repeatability comparison.
HUMAN BRAIN MAPPING
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Kai Wang, Xingfeng Shao, Lirong Yan, Samantha J. Ma, Jin Jin, Danny J. J. Wang
Summary: The purpose of this study was to optimize and evaluate adiabatic pulses for pulsed arterial spin labeling at ultra-high field 7 Tesla. Among the four pulses examined, the wideband uniform rate smooth truncation pulse achieved the best balance between labeling efficiency and residual tissue signal, showing significantly higher relative labeling efficiency compared to other sequences. The optimized pulse allowed for comparable perfusion signals as pseudo-continuous arterial spin labeling but with less than half the specific absorption rate.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Endocrinology & Metabolism
Manuel Taso, Fanny Munsch, Li Zhao, David C. Alsop
Summary: High-resolution imaging methods using ASL and T-1 mapping highlight the importance of spatial resolution and tissue heterogeneity in measuring cortical cerebral blood flow. Regional analysis reveals significant differences across cortical regions, with depth-dependent T-1 variation complicating interpretation of ASL signal. This has implications for accurate CBF quantification, especially at lower resolutions.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
James H. Holmes, Mu-Lan Jen, Laura B. Eisenmenger, Tilman Schubert, Patrick A. Turski, Kevin M. Johnson
Summary: This study introduces a mapping approach to investigate the relative tagging efficiency of VS-ASL, validated through numerical simulations and experiments. Unique efficiency patterns were observed in normal volunteers based on individual anatomy and physiology. While uniform tagging efficiency was generally seen in vivo, regions of high blood velocity and local susceptibility gradients showed reduced efficiency.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Celine Baligand, Lydiane Hirschler, Thom T. J. Veeger, Lena Vaclavu, Suzanne L. Franklin, Matthias J. P. van Osch, Hermien E. Kan
Summary: The study introduces a new approach of multislice FAIR, allowing for simultaneous measurement of muscle perfusion in two distant slices without losing sensitivity in the distal slice.
MAGNETIC RESONANCE IN MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yiming Wang, Joshua S. Greer, Limin Zhou, Sheng-Qing Lin, Keith M. Hulsey, Durga Udayakumar, Ananth J. Madhuranthakam
Summary: A portable MR perfusion phantom was developed for quality-controlled assessment and reproducibility of arterial spin labeled (ASL) perfusion measurement. The phantom was evaluated for longitudinal reproducibility using 2D pseudo-continuous ASL and a general kinetic model for perfusion quantification. The results demonstrated excellent reproducibility and can serve as a reliable tool for ASL perfusion measurements.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Neurosciences
Jin Fang, Kelei Hua, Feng Chen, Zhifang Wan, Yi Yin, Ping Liu, Tianyue Wang, Guihua Jiang
Summary: Patients with ankylosing spondylitis (AS) showed changes in cerebral blood flow (CBF), with increased CBF values in certain brain regions and decreased CBF values in others compared with healthy controls. However, there were no significant correlations between CBF values and specific clinical characteristics of AS.
FRONTIERS IN NEUROSCIENCE
(2022)
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
Behavioral Sciences
Alejandro Garcia-Rudolph, Joan Sauri, Alberto Garcia-Molina, Blanca Cegarra, Eloy Opisso, Josep Maria Tormos, Dietmar Frey, Vince Istvan Madai, Montserrat Bernabeu
Summary: This study compared the levels of stress in emotional and behavioral aspects reported by informal family caregivers of individuals with chronic traumatic brain injury or stroke before and during the COVID-19 pandemic, taking into consideration the cause and severity of the recipients of care. The results suggest that specific support could be provided to informal caregivers based on the cause or severity of the care recipients.
BRAIN AND BEHAVIOR
(2022)
Article
Medicine, General & Internal
Alejandro Garcia-Rudolph, Joan Sauri, Blanca Cegarra, Eloy Opisso, Josep Maria Tormos, Dietmar Frey, Vince Istvan Madai, Montserrat Bernabeu
Summary: This study compared the community integration of people with stroke or traumatic brain injury (TBI) before and during the COVID-19 pandemic. The results showed that most participants experienced a decrease in community integration during COVID-19, highlighting the need for remote support.
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
Medicine, General & Internal
Baptiste Vasey, Myura Nagendran, Bruce Campbell, David A. Clifton, Gary S. Collins, Spiros Denaxas, Alastair K. Denniston, Livia Faes, Bart Geerts, Mudathir Ibrahim, Xiaoxuan Liu, Bilal A. Mateen, Piyush Mathur, Melissa D. McCradden, Lauren Morgan, Johan Ordish, Campbell Rogers, Suchi Saria, Daniel S. W. Ting, Peter Watkinson, Wim Weber, Peter Wheatstone, Peter McCulloch
BMJ-BRITISH MEDICAL JOURNAL
(2022)
Article
Clinical Neurology
Matthias A. Mutke, Vince I. Madai, Adam Hilbert, Esra Zihni, Arne Potreck, Charlotte S. Weyland, Markus A. Moehlenbruch, Sabine Heiland, Peter A. Ringleb, Simon Nagel, Martin Bendszus, Dietmar Frey
Summary: Using machine learning algorithms, we analyzed the prognosis of patients with acute ischemic stroke (AIS) and undergoing mechanical thrombectomy (MT). The results showed that poor outcome could be predicted based on clinical baseline variables alone, while the speed and extent of reperfusion improved the prediction for favorable outcome but had no relevance for poor outcome. MRI mismatch variables did not contribute to the prediction of both outcomes.
FRONTIERS IN NEUROLOGY
(2022)
Correction
Biochemistry & Molecular Biology
Baptiste Vasey, Myura Nagendran, Bruce Campbell, David A. Clifton, Gary S. Collins, Spiros Denaxas, Alastair K. Denniston, Livia Faes, Bart Geerts, Mudathir Ibrahim, Xiaoxuan Liu, Bilal A. Mateen, Piyush Mathur, Melissa D. McCradden, Lauren Morgan, Johan Ordish, Campbell Rogers, Suchi Saria, Daniel S. W. Ting, Peter Watkinson, Wim Weber, Peter Wheatstone, Peter McCulloch
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
Clinical Neurology
Adam Hilbert, Jana Rieger, Vince I. Madai, Ela M. Akay, Orhun U. Aydin, Jonas Behland, Ahmed A. Khalil, Ivana Galinovic, Jan Sobesky, Jochen Fiebach, Michelle Livne, Dietmar Frey
Summary: A deep learning-based solution for anatomical labeling of brain arteries using complete information from 3D TOF-MRA images is proposed in this study. The method achieved high accuracy and fast predictions, making it highly applicable in the clinical setting.
FRONTIERS IN NEUROLOGY
(2022)
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)
Correction
Radiology, Nuclear Medicine & Medical Imaging
Orhun Utku Aydin, Abdel Aziz Taha, Adam Hilbert, Ahmed A. Khalil, Ivana Galinovic, Jochen B. Fiebach, Dietmar Frey, Vince Istvan Madai
EUROPEAN RADIOLOGY EXPERIMENTAL
(2022)
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)