Article
Clinical Neurology
Lukas Haider, Karen Chung, Giselle Birch, Arman Eshaghi, Stephanie Mangesius, Ferran Prados, Carmen Tur, Olga Ciccarelli, Frederik Barkhof, Declan Chard
Summary: The study found that brain regional atrophy within the first 5 years following a clinically isolated syndrome predicts the risk of developing progressive multiple sclerosis or experiencing related death 30 years later, as well as disability 25 years later.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2021)
Article
Clinical Neurology
Marco Pisa, Tommaso Croese, Gloria Dalla Costa, Simone Guerrieri, Su-Chun Huang, Annamaria Finardi, Lorena Fabbella, Francesca Sangalli, Bruno Colombo, Lucia Moiola, Vittorio Martinelli, Giancarlo Comi, Roberto Furlan, Letizia Leocani
Summary: Optical coherence tomography (OCT) is increasingly important in evaluating patients with multiple sclerosis, showing neuro-retinal changes indicative of inflammatory and disease burden. Subclinical optic nerve involvement and thinning of ganglion cell layer in eyes without acute optic neuritis are associated with greater disease burden, reflecting early disease phases.
Article
Clinical Neurology
Lukas Haider, Ferran Prados, Karen Chung, Olivia Goodkin, Baris Kanber, Carole Sudre, Marios Yiannakas, Rebecca S. Samson, Stephanie Mangesius, Alan J. Thompson, Claudia A. M. Gandini Wheeler-Kingshott, Olga Ciccarelli, Declan T. Chard, Frederik Barkhof
Summary: The study found that after 30 years, the greatest differences in MRI measures between SPMS and RRMS were the higher number of cortical lesions in SPMS and the lower grey matter volume in SPMS. This suggests that cortical involvement, in terms of lesions and atrophy, is the main correlate of progressive disease and disability in individuals with very long follow-up, indicating it should be the target of therapeutic interventions.
Article
Neuroimaging
O. Goodkin, F. Prados, S. B. Vos, H. Pemberton, S. Collorone, M. H. J. Hagens, M. J. Cardoso, T. A. Yousry, J. S. Thornton, C. H. Sudre, F. Barkhof
Summary: This study focused on comparing the performance of FLAIR-only automated segmentation with conventional methods in assessing WM lesions and brain volumes in MS patients. The results showed that the FLAIR-only method was consistent with conventional methods and demonstrated expected biological effects, suggesting its potential for clinical application in radiological MS reporting.
NEUROIMAGE-CLINICAL
(2021)
Article
Biochemistry & Molecular Biology
Milagros Hidalgo de la Cruz, Paola Valsasina, Sarlota Mesaros, Alessandro Meani, Jovana Ivanovic, Vanja Martinovic, Jelena Drulovic, Massimo Filippi, Maria A. Rocca
Summary: In the study, it was found that abnormalities in sub-regional thalamic resting state functional connectivity in clinically isolated syndrome patients were associated with clinical disability and evolved over time. Some patients experienced multiple clinical relapses, but the median EDSS score remained stable.
MOLECULAR PSYCHIATRY
(2021)
Article
Clinical Neurology
Kevin N. Alschuler, Daniel Whibley, Anna L. Kratz, Mark P. Jensen, Annette Wundes, Gloria von Geldern, Peiqing Qian, Charles H. Bombardier, Dawn M. Ehde
Summary: The study found that in the first year post-MS/CIS diagnosis, the average QOL was high and stable, with only a few variables predicting baseline QOL and changes over time. This suggests that early assessment of certain factors can help predict current and future QOL outcomes for patients.
JOURNAL OF NEUROLOGY
(2022)
Article
Medicine, General & Internal
Amjad I. AlTokhis, Abrar AlAmrani, Abdulmajeed Alotaibi, Anna Podlasek, Cris S. Constantinescu
Summary: Definite imaging predictors for long-term disability in multiple sclerosis (MS) are currently lacking. However, recent findings suggest that white matter lesion (WML) counts and volumes may be able to predict long-term disability in MS. A meta-analysis of studies found that T2 brain lesion counts and volumes were associated with disability progression after 10 years, with a significant association between the presence of four or more lesions at baseline and EDSS 3 and EDSS 6. These findings suggest that lesion counts and volumes could provide additional guidance in treatment decision making.
Review
Clinical Neurology
Christopher Martin Allen, Ellen Mowry, Mar Tintore, Nikos Evangelou
Summary: Clinically isolated syndrome (CIS) is a single attack of inflammatory demyelination of the central nervous system, which can predict the development of multiple sclerosis. MRI scanning remains the most influential prognostic investigation during diagnosis, while multiple testing methods and medical history information also contribute to the diagnosis.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2021)
Article
Neurosciences
Maria-Eleftheria Evangelopoulos, Georgios Koutsis, Fotini Boufidou, Manolis Markianos
Summary: Cholesterol levels may be associated with disease characteristics in multiple sclerosis, particularly with demyelination and immune response. This study found lower levels of plasma and cerebrospinal fluid cholesterol in patients with multiple sclerosis. Patients with positive oligoclonal bands had even lower cerebrospinal fluid cholesterol levels, which may be related to disease progression and enhanced humoral immune response.
NEUROBIOLOGY OF DISEASE
(2022)
Article
Clinical Neurology
J. Lopez-Gomez, B. Sacristan-Enciso, M. A. Caro-Miro, M. R. Querol Pascual
Summary: Differentiating clinically isolated syndrome (CIS) from multiple sclerosis (MS) and predicting the risk of progression is crucial. Magnetic resonance imaging (MRI), oligoclonal IgG and IgM bands, lipid-specific oligoclonal IgM bands, CSF kappa free light-chain (KFLC) index, neuro-filament light chain (NfL), and chitinase 3-like protein 1 (CHI3L1) have been evaluated as useful markers. Co-detection of IgG bands and MRI lesions reduces diagnosis delays, and specific thresholds of KFLC, NfL, and CHI3L1 indicate the likelihood of CIS progressing to MS.
Article
Immunology
Klaus Berek, Gabriel Bsteh, Michael Auer, Franziska Di Pauli, Anne Zinganell, Thomas Berger, Florian Deisenhammer, Harald Hegen
Summary: The study found that the CSF parameters in MS patients varied across disease courses, with less frequent blood-CSF-barrier dysfunction and intrathecal IgA/IgM synthesis when the novel RL were applied.
FRONTIERS IN IMMUNOLOGY
(2021)
Review
Clinical Neurology
Massimo Filippi, Paolo Preziosa, Douglas L. Arnold, Frederik Barkhof, Daniel M. Harrison, Pietro Maggi, Caterina Mainero, Xavier Montalban, Elia Sechi, Brian G. Weinshenker, Maria A. Rocca
Summary: The use of MRI in the diagnosis of MS has evolved considerably, with the introduction of the 2017 McDonald criteria and new MRI markers. Artificial intelligence tools may complement human assessment in improving diagnosis and patient classification.
JOURNAL OF NEUROLOGY
(2023)
Article
Immunology
Javier Riancho, Sonia Setien, Jose Ramon Sanchez de la Torre, Marta Torres-Barquin, Mercedes Misiego, Jose Luis Perez, Tamara Castillo-Trivino, Cristina Menendez-Garcia, Manuel Delgado-Alvarado
Summary: Observational study on the long-term effectiveness of natalizumab with extended interval dosing (EID) in multiple sclerosis patients treated for over 7 years showed that EID preserved treatment efficacy and prevented disability worsening during follow-up. Patients treated with natalizumab for the first time showed slightly better response to EID therapy compared to those previously treated with other immunosuppressive drugs.
FRONTIERS IN IMMUNOLOGY
(2021)
Review
Clinical Neurology
Massimiliano Calabrese, Damiano Marastoni, Francesco Crescenzo, Antonio Scalfari
Summary: This review discusses the challenges in diagnosing patients with the first demyelinating attack or RIS, focusing on the updated diagnostic criteria, considering neuroinflammatory conditions in the differential diagnosis, and identifying factors that predict MS development. Accurate interpretation of demyelinating attacks, MRI results, and the importance of cerebrospinal fluid examination are emphasized for an early and precise MS diagnosis to start timely disease-modifying therapy and improve long-term outcomes.
CURRENT OPINION IN NEUROLOGY
(2021)
Article
Neuroimaging
Rozemarijn M. Mattiesing, Giordano Gentile, Iman Brouwer, Ronald A. van Schijndel, Bernard M. J. Uitdehaag, Jos W. R. Twisk, Ludwig Kappos, Mark S. Freedman, Giancarlo Comi, Dominic Jack, Nicola De Stefano, Frederik Barkhof, Marco Battaglini, Hugo Vrenken
Summary: The study found that total lesion volume changes were associated with the rate of brain atrophy in the next year for multiple sclerosis patients. In patients receiving early treatment, total lesion volume changes were also correlated with ventricular volume changes in the following year. Additionally, faster atrophy was related to higher lesion volume changes in the subsequent year.
NEUROIMAGE-CLINICAL
(2022)
Article
Endocrinology & Metabolism
Khazar Ahmadi, Joana B. Pereira, David Berron, Jacob Vogel, Silvia Ingala, Olof T. Strandberg, Shorena Janelidze, Frederik Barkhof, Josef Pfeuffer, Linda Knutsson, Danielle van Westen, Sebastian Palmqvist, Henk J. M. M. Mutsaerts, Oskar Hansson
Summary: This study investigated the role of decreased cerebral blood flow in Alzheimer's disease and found that tau tangles and neurodegeneration are more closely connected with GM-CBF changes than A beta pathology.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Junjie Li, Peng Zhang, Liying Qu, Ting Sun, Yunyun Duan, Minghao Wu, Jinyuan Weng, Zhaohui Li, Xiaodong Gong, Xing Liu, Yongzhi Wang, Wenqing Jia, Xiaorui Su, Qiang Yue, Jianrui Li, Zhiqiang Zhang, Frederik Barkhof, Raymond Y. Huang, Ken Chang, Haris Sair, Chuyang Ye, Liwei Zhang, Zhizheng Zhuo, Yaou Liu
Summary: A deep learning approach was developed to predict H3 K27M mutation in diffuse midline glioma using T2-weighted images. The segmentation performance and predictive accuracy of H3 K27M mutation status in both midline brain gliomas and spinal cord gliomas were evaluated. The method showed good predictive performance across different institutions.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Clinical Neurology
H. Vrenken, M. Battaglini, M. L. de Vos, G. J. Nagtegaal, B. C. A. Teixeira, A. Seitzinger, D. Jack, M. P. Sormani, B. M. J. Uitdehaag, A. Versteeg, G. Comi, L. Kappos, N. De Stefano, F. Barkhof
Summary: A post hoc analysis found that subcutaneous interferon ss-1a (sc IFN ss-1a) treatment can reduce the number of new lesions and the likelihood of these lesions evolving into black holes in patients with a first clinical demyelinating event (FCDE), compared to placebo.
JOURNAL OF NEUROLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeon Gyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sebastien Ourselin, Jonathan Shapey, Tom Vercauteren
Summary: Domain Adaptation has recently gained attention in the medical imaging community. To overcome the limitations of existing techniques, this article presents a large-scale multi-class benchmark for unsupervised cross-modality domain adaptation. The benchmark focuses on the segmentation of two key brain structures in vestibular schwannoma cases.
MEDICAL IMAGE ANALYSIS
(2023)
Editorial Material
Computer Science, Artificial Intelligence
Guotai Wang, Shaoting Zhang, Xiaolei Huang, Tom Vercauteren, Dimitris Metaxas
MEDICAL IMAGE ANALYSIS
(2023)
Article
Engineering, Biomedical
Charlie Budd, Luis C. Garcia-Peraza C. Herrera, Martin Huber, Sebastien Ourselin, Tom Vercauteren
Summary: This paper addresses the estimation problem of endoscopic content area and proposes two algorithms based on edge detection and circle fitting. A dataset of manually annotated and pseudo-labelled content areas is provided for research. The proposed algorithm shows significant improvement in both accuracy and computational time compared to state-of-the-art methods.
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION
(2023)
Article
Engineering, Biomedical
Luis C. Garcia Peraza C. Herrera, Conor Horgan, Sebastien Ourselin, Michael Ebner, Tom Vercauteren
Summary: Traditional RGB imaging poses challenges in visual discrimination of clinical tissue types, while hyperspectral imaging (HSI) provides rich spectral information beyond three-channel RGB imaging. Our study examines the performance of deep learning image segmentation methods when trained on HSI and RGB images, as well as HSI and RGB pixels. Using the Oral and Dental Spectral Image Database (ODSI-DB) with 215 manually segmented dental reflectance spectral images, we emphasize the significance of spectral resolution, range, and spatial information for the development and application of clinical HSI.
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION
(2023)
Article
Clinical Neurology
T. Deprest, L. Fidon, F. De Keyzer, M. Ebner, J. Deprest, P. Demaerel, L. De Catte, T. Vercauteren, S. Ourselin, S. Dymarkowski, M. Aertsen
Summary: This study tested an algorithm for segmenting abnormal fetal brains and found that it achieved good results in fetuses with severe brain abnormalities. However, it is necessary to include rare cases in the current dataset and quality control measures should be implemented to prevent occasional errors.
AMERICAN JOURNAL OF NEURORADIOLOGY
(2023)
Article
Clinical Neurology
Eline Coerver, Sophie Janssens, Aroosa Ahmed, Mark Wessels, Zoe van Kempen, Bas Jasperse, Frederik Barkhof, Marcus Koch, Jop Mostert, Bernard Uitdehaag, Joep Killestein, Eva Strijbis
Summary: Inflammatory disease activity in multiple sclerosis (MS) decreases with advancing age, and this study investigated the relation between age and MRI measures of inflammatory disease activity in a real-world cohort of people with relapse onset MS.
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Denise Visser, Sander C. J. Verfaillie, Iris Bosch, Iman Brouwer, Hayel Tuncel, Emma M. Coomans, Roos M. Rikken, Sophie E. Mastenbroek, Sandeep S. V. Golla, Frederik Barkhof, Elsmarieke van de Giessen, Bart N. M. van Berckel, Wiesje M. van der Flier, Rik Ossenkoppele
Summary: The purpose of this study was to investigate the association between Tau pathology, atrophy, and cerebral blood flow (CBF) in Alzheimer's disease (AD). The results showed that increased Tau load was associated with cortical thinning, but not with decreased relative CBF. Baseline Tau PET load was a stronger predictor of cortical thinning than changes in Tau PET signal over time.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
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
Neurosciences
Oscar Maccormac, Philip Noonan, Mirek Janatka, Conor C. Horgan, Anisha Bahl, Jianrong Qiu, Matthew Elliot, Theo Trotouin, Jaco Jacobs, Sabina Patel, Mads S. Bergholt, Keyoumars Ashkan, Sebastien Ourselin, Michael Ebner, Tom Vercauteren, Jonathan Shapey
Summary: This article introduces the potential of lightfield hyperspectral imaging in intra-operational imaging and tissue differentiation, as well as the limitations of previous systems. The authors propose a novel lightfield hyperspectral imaging technique and demonstrate its feasibility through pre-clinical and first-in-human studies.
FRONTIERS IN NEUROSCIENCE
(2023)
Review
Clinical Neurology
Janine Hendriks, Henk-Jan Mutsaerts, Richard Joules, Oscar Pena-Nogales, Paulo R. Rodrigues, Robin Wolz, George L. Burchell, Frederik Barkhof, Anouk Schrantee
Summary: This systematic review provides an overview of the available (semi-)automatic QC algorithms and software packages for raw, structural T1-weighted (T1w) MRI datasets, and analyzes the differences among these algorithms in terms of their features, performance, and benchmarks.
Article
Clinical Neurology
Rozemarijn M. Mattiesing, Eline Kramer, Eva M. M. Strijbis, Iman Brouwer, Ronald A. van Schijndel, Giordano Gentile, Marco Battaglini, Nicola De Stefano, Bernard M. J. Uitdehaag, Frederik Barkhof, Hugo Vrenken, Menno M. Schoonheim
Summary: The degree of inflammation and neurodegeneration after treatment initiation in multiple sclerosis (MS) can predict disease progression. This study found that global atrophy and/or pseudo-atrophy as well as positive lesion activity in MRI results during the first and second years of treatment were related to an increased probability and faster conversion to clinically definite MS. Negative lesion activity in the first year and slower central atrophy in the second year were predictive of disability progression.
MULTIPLE SCLEROSIS JOURNAL
(2023)
Article
Clinical Neurology
Nitin Sahi, Lukas Haider, Karen Chung, Ferran Prados Carrasco, Baris Kanber, Rebecca Samson, Alan J. Thompson, Claudia A. M. Gandini Wheeler-Kingshott, S. Anand Trip, Wallace Brownlee, Olga Ciccarelli, Frederik Barkhof, Carmen Tur, Henry Houlden, Declan Chard
Summary: This retrospective study explores the genetic influences on long-term disease course and severity in multiple sclerosis. The findings show that specific genes are associated with different pathological mechanisms of the disease, such as white matter inflammation, disability worsening, and the risk of developing secondary progressive multiple sclerosis. These findings are significant for a better understanding of the genetic factors and prognosis of multiple sclerosis.
BRAIN COMMUNICATIONS
(2023)