Article
Clinical Neurology
Simona Schiavi, Maria Petracca, Peng Sun, Lazar Fleysher, Sirio Cocozza, Mohamed Mounir El Mendili, Alessio Signori, James S. Babb, Kornelius Podranski, Sheng-Kwei Song, Matilde Inglese
Summary: This study investigated the feasibility of diffusion basis spectrum imaging in multiple sclerosis at 7 T, identifying significant differences in various diffusion metrics between different types of lesions and normal appearing white matter. The study also found associations between certain diffusion metrics and clinical measures, suggesting the potential clinical relevance of diffusion basis spectrum imaging in monitoring disease progression and treatment response in multiple sclerosis.
Article
Medicine, General & Internal
Siddhesh P. Thakur, Matthew K. Schindler, Michel Bilello, Spyridon Bakas
Summary: This article introduces a computational approach that utilizes computer-aided detection (CAD) software to play a vital role in the diagnosis and treatment monitoring of Multiple Sclerosis (MS). The software can accurately detect disease activity and determine the necessity for injecting Gadolinium Based Contract Agents (GBCAs), providing reproducible and accurate clinical assessments, reducing adverse effects, and decreasing healthcare costs.
FRONTIERS IN MEDICINE
(2022)
Article
Neurosciences
Stephen G. Wahlig, Pierre Nedelec, David A. Weiss, Jeffrey D. Rudie, Leo P. Sugrue, Andreas M. Rauschecker
Summary: This study investigates the use of transfer learning from segmentation of another pathology to facilitate the segmentation of multiple sclerosis (MS) plaques. The results demonstrate that by fine-tuning models trained for other diseases with MS-specific data, competitive models for identifying existing MS plaques, new MS plaques, and active demyelination can be built with smaller datasets.
FRONTIERS IN NEUROSCIENCE
(2023)
Review
Biology
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, Parisa Moridian, Mitra Rezaei, Roohallah Alizadehsani, Fahime Khozeimeh, Juan Manuel Gorriz, Jonathan Heras, Maryam Panahiazar, Saeid Nahavandi, U. Rajendra Acharya
Summary: Multiple Sclerosis (MS) is a brain disease that causes various issues and is diagnosed using MRI, which can be time-consuming and prone to errors. Utilizing a computer aided diagnosis system (CADS) based on artificial intelligence involves conventional machine learning and deep learning methods for MS diagnosis.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Neuroimaging
Mladen Rakic, Sophie Vercruyssen, Simon Van Eyndhoven, Ezequiel de la Rosa, Saurabh Jain, Sabine Van Huffel, Frederik Maes, Dirk Smeets, Diana M. Sima
Summary: Multiple sclerosis (MS) is a chronic autoimmune, inflammatory neurological disease diagnosed by MRI scans. The paper presents an automatic combined method based on traditional unsupervised machine learning and deep-learning techniques, improving the detection of MS plaques.
NEUROIMAGE-CLINICAL
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Llucia Coll, Deborah Pareto, Pere Carbonell-Mirabent, Alvaro Cobo-Calvo, Georgina Arrambide, Angela Vidal-Jordana, Manuel Comabella, Joaquinprime Castillo, Breogan Rodriguez-Acevedo, Ana Zabalza, Ingrid Galan, Luciana Midaglia, Carlos Nos, Cristina Auger, Manel Alberich, Jordi Rio, Jaume Sastre-Garriga, Arnau Oliver, Xavier Montalban, Alex Rovira, Mar Tintore, Xavier Llado, Carmen Tur
Summary: This study compares the effect of different input strategies on the performance of predictive models for multiple sclerosis prognosis. The results show that both the global approach and specific-tissue strategies perform well in the internal dataset and achieve high accuracy in external validation.
JOURNAL OF MAGNETIC RESONANCE IMAGING
(2023)
Article
Oncology
Alexandra H. Besser, Lauren K. Fang, Michelle W. Tong, Maren M. Sjaastad Andreassen, Haydee Ojeda-Fournier, Christopher C. Conlin, Stephane Loubrie, Tyler M. Seibert, Michael E. Hahn, Joshua M. Kuperman, Anne M. Wallace, Anders M. Dale, Ana E. Rodriguez-Soto, Rebecca A. Rakow-Penner
Summary: Diffusion-weighted MRI (DW-MRI) can provide quantitative information about tissue microstructure to distinguish benign from malignant breast lesions. In this study, the utility of a three-component model for differentiating benign lesions and healthy tissue was further evaluated, showing promising results.
Article
Biology
Ziyu Su, Mostafa Rezapour, Usama Sajjad, Metin Nafi Gurcan, Muhammad Khalid Khan
Summary: This research proposes a weakly-supervised multiple instance learning model (SiiMIL) for disease classification in large-scale images. By introducing a novel representation learning method, SiiMIL improves the ratio of tumor to normal instances and achieves better classification performance. The experimental results also show that SiiMIL can generate attention heatmaps that are more interpretable to pathologists.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Monika Gloor, Michaela Andelova, Laura Gaetano, Athina Papadopoulou, Federico Burguet Villena, Till Sprenger, Ernst-Wilhelm Radue, Ludwig Kappos, Oliver Bieri, Meritxell Garcia
Summary: This study analyzed the potential of magnetization transfer imaging (MTI) and diffusion tensor imaging (DTI) for the detection and evolution of new multiple sclerosis (MS) lesions. The results showed that MTI provides more information than DTI and can detect tissue changes 2 to 4 months prior to their appearance on MRI.
EUROPEAN RADIOLOGY
(2023)
Article
Neurosciences
Marius Schmidt-Mengin, Theodore Soulier, Mariem Hamzaoui, Arya Yazdan-Panah, Benedetta Bodini, Nicholas Ayache, Bruno Stankoff, Olivier Colliot
Summary: This paper presents a contribution to the MSSEG-2 MICCAI 2021 challenge focused on segmenting new MS lesions using two consecutive FLAIR MRI images. Their segmentation method involves concatenating baseline and follow-up images to a 3D UNet and utilizing online hard example mining to address class imbalance issues.
FRONTIERS IN NEUROSCIENCE
(2022)
Review
Clinical Neurology
Caterina Mainero, Constantina A. Treaba, Elena Barbuti
Summary: This review discusses current imaging approaches for detecting cortical lesions in multiple sclerosis (MS) and their clinical significance. Despite the limitations in detecting cortical lesions, they are important for MS diagnosis, prognostic evaluation, and predicting disease progression. Advances in ultra-high field MRI allow increased detection of cortical lesions and provide insights into their development, evolution, and associated pathological changes, which are relevant for understanding the pathogenesis of these lesions.
CURRENT OPINION IN NEUROLOGY
(2023)
Article
Geochemistry & Geophysics
Ba Hung Ngo, Ju Hyun Kim, So Jeong Park, Sung In Cho
Summary: This article introduces a unified framework called MECKA, which achieves multi-source unsupervised domain adaptation for remote sensing data through the processes of multi-view generation and collaborative learning. Experimental results show that the proposed method achieves the best classification accuracy on RS scene benchmark datasets.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Clinical Neurology
Irene M. Vavasour, Peng Sun, Carina Graf, Jackie T. Yik, Shannon H. Kolind, David K. B. Li, Roger Tam, Ana-Luiza Sayao, Alice Schabas, Virginia Devonshire, Robert Carruthers, Anthony Traboulsee, G. R. Wayne Moore, Sheng-Kwei Song, Cornelia Laule
Summary: Advanced MRI techniques can provide specific information about tissue changes in MS brains. Different MS subtypes show varying levels of neuroinflammation, myelin, and axonal measures, with RRMS demonstrating larger oedema-related differences and progressive MS displaying more extensive abnormalities in myelin and axonal measures.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lan Huang, Ziqi Zhao, Liying An, Yingchun Gong, Yao Wang, Qixing Yang, Zhuo Wang, Geli Hu, Yan Wang, Chunjie Guo
Summary: This study presents an automatic segmentation model of contrast-enhancing lesions (CELs) based on FCA-DenseNet and transfer learning strategy, aiming to address the challenge of CEL quantification in small-scale datasets. The FCA-DenseNet outperforms other models in terms of evaluation metrics, demonstrating the effectiveness of the proposed method.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Neuroimaging
Ruimeng Yang, Tsen-Hsuan Lin, Jie Zhan, Shengsheng Lai, Chunyu Song, Peng Sun, Zezhong Ye, Michael Wallendorf, Ajit George, Anne H. Cross, Sheng-Kwei Song
Summary: The study aimed to assess optic nerve pathologies in EAE mice with ON using DBSI, revealing significantly improved VA in fingolimod-treated mice compared to the control group. During treatment, DBSI-derived metrics in the fingolimod group showed significant correlation with histological markers.
NEUROIMAGE-CLINICAL
(2021)
Article
Clinical Neurology
John R. Ciotti, Noah S. Eby, Matthew R. Brier, Gregory F. Wu, Salim Chahin, Anne H. Cross, Robert T. Naismith
Summary: MOGAD patients exhibit fewer brain lesions and lower CVS positivity compared to MS patients. They also show longer involvement in the spinal cord and optic nerve. The optic nerve pathology in MOGAD tends to be bilateral/anterior with perineural contrast enhancement, contrasting with NMOSD.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Clinical Neurology
Alan J. Thompson, William Carroll, Olga Ciccarelli, Giancarlo Comi, Anne Cross, Alexis Donnelly, Anthony Feinstein, Robert J. Fox, Anne Helme, Reinhard Hohlfeld, Robert Hyde, Pamela Kanellis, Douglas Landsman, Catherine Lubetzki, Ruth Ann Marrie, Julia Morahan, Xavier Montalban, Bruno Musch, Sarah Rawlings, Marco Salvetti, Finn Sellebjerg, Caroline Sincock, Kathryn E. Smith, Jon Strum, Paola Zaratin, Timothy Coetzee
Summary: This paper reviews recent progress in progressive multiple sclerosis (MS), highlighting the need for a deeper understanding of underlying mechanisms, identification of therapeutic targets, and improved clinical trial design. A global research strategy proposed by the International Progressive MS Alliance aims to address challenges and improve quality of life for MS patients.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Clinical Neurology
Albert M. Isaacs, Jeffrey J. Neil, James P. McAllister, Sonika Dahiya, Leandro Castaneyra-Ruiz, Harri Merisaari, Haley E. Botteron, Dimitrios Alexopoulous, Ajit George, Peng Sun, Diego M. Morales, Joshua Shimony, Jennifer Strahle, Yan Yan, Sheng-Kwei Song, David D. Limbrick, Christopher Smyser
Summary: This study used diffusion basis spectrum imaging (DBSI) to investigate the neurologic deficits of neonatal post-hemorrhagic hydrocephalus (PHH). The results showed that infants with PHH had severe white matter abnormalities and specific patterns of axonal and myelin injury, fiber loss, cellular infiltration, and inflammation. The study also found a correlation between increasing ventricular size and worse DBSI metrics.
Editorial Material
Clinical Neurology
Andrew J. Solomon, Georgina Arrambide, Wallace Brownlee, Anne H. Cross, Maria I. Gaitan, Fred D. Lublin, Naila Makhani, Ellen M. Mowry, Daniel S. Reich, Alex Rovira, Brian G. Weinshenker, Jeffrey A. Cohen
Summary: Patients with a historical diagnosis of multiple sclerosis (MS) face specific challenges in diagnosis and treatment. Retrospective application of the McDonald criteria can be difficult, complicating confirmation of an early MS diagnosis and assessment of disease progression.
NEUROLOGY-CLINICAL PRACTICE
(2022)
Article
Clinical Neurology
Stephen L. Hauser, Anne H. Cross, Kevin Winthrop, Heinz Wiendl, Jacqueline Nicholas, Sven G. Meuth, Paul S. Giacomini, Francesco Sacca, Linda Mancione, Ronald Zielman, Morten Bagger, Ayan Das Gupta, Dieter A. Haring, Valentine Jehl, Bernd C. Kieseier, Ratnakar Pingili, Dee Stoneman, Wendy Su, Roman Willi, Ludwig Kappos
Summary: Ofatumumab demonstrates good safety and tolerability in the treatment of RMS patients for up to 3.5 years, with no new safety risks identified, supporting its established effectiveness.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Clinical Neurology
Biao Xiang, Matthew R. Brier, Manasa Kanthamneni, Jie Wen, Abraham Z. Snyder, Dmitriy A. Yablonskiy, Anne H. Cross
Summary: This study evaluated qGRE-derived R2t* as an imaging biomarker of progressive multiple sclerosis (MS) and found that reductions in R2t* were associated with neurological impairment. R2t* performed better than other imaging measures in assessing disease progression.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Clinical Neurology
Jutta Gaertner, Stephen L. Hauser, Amit Bar-Or, Xavier Montalban, Jeffrey A. Cohen, Anne H. Cross, Kumaran Deiva, Habib Ganjgahi, Dieter A. Haering, Bingbing Li, Ratnakar Pingili, Krishnan Ramanathan, Wendy Su, Roman Willi, Bernd Kieseier, Ludwig Kappos
Summary: The study showed that ofatumumab is more effective and safer than teriflunomide in recently diagnosed, treatment-naive patients with relapsing multiple sclerosis. Compared with teriflunomide, ofatumumab significantly reduced the annualized relapse rate, delayed confirmed disability worsening, and delayed progression independent of relapse activity.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Letter
Clinical Neurology
Amber Salter, Anne H. Cross, Gary R. Cutter, Robert J. Fox, David K. B. Li, Bruce Bebo, June Halper, Pamela Kanellis, Kottil Rammohan, Scott D. Newsome
Summary: This study reports the COVID-19 outcomes of 36 women with multiple sclerosis (MS), including pregnant and postpartum women. A comparison between pregnant/postpartum females and non-pregnant/postpartum females showed no increased risks for women with MS in relation to COVID-19.
MULTIPLE SCLEROSIS AND RELATED DISORDERS
(2022)
Article
Clinical Neurology
Biao Xiang, Jie Wen, Robert E. Schmidt, Alexander L. Sukstanskii, Daniel Mamah, Dmitriy A. Yablonskiy, Anne H. Cross
Summary: This study developed an alternative approach, Simultaneous-Multi-Angular-Relaxometry-of-Tissue (SMART) MRI, to generate a quantitative magnetization transfer MRI metric called the macromolecule proton fraction (MPF) that correlates with myelin concentration. The SMART-derived MPF metric was tested as a potential imaging biomarker of demyelination and was found to differentiate different types of multiple sclerosis lesions and correlate with clinical test scores. The results suggest that SMART-derived MPF metric holds promise for quantitatively assessing demyelination and remyelination.
ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY
(2022)
Article
Neurosciences
Farzaneh Rahmani, Laura Ghezzi, Valeria Tosti, Jingxia Liu, Sheng-Kwei Song, Anthony T. Wu, Jayashree Rajamanickam, Kathleen A. Obert, Tammie L. S. Benzinger, Bettina Mittendorfer, Laura Piccio, Cyrus A. Raji
Summary: This study aimed to investigate the effect of intermittent caloric restriction (iCR) on neuroimaging markers of multiple sclerosis (MS). The results showed that after 12 weeks of iCR, there were improvements in brain volume, cortical thickness, and reduction in neuroinflammation in midlife adults with MS. These pilot data suggest therapeutic effects of iCR in MS patients.
JOURNAL OF ALZHEIMERS DISEASE
(2023)
Article
Clinical Neurology
Matthew R. Brier, Biao Xiang, John R. Ciotti, Salim Chahin, Gregory F. Wu, Robert T. Naismith, Dmitriy Yablonskiy, Anne H. Cross
Summary: This study used qGRE MRI to examine the brains of MOGAD patients and compared them with MS patients matched for disability. The results showed that non-lesional tissues in MOGAD patients were less damaged compared to MS, which may explain the greater propensity for recovery in MOGAD.
MULTIPLE SCLEROSIS AND RELATED DISORDERS
(2023)
Article
Clinical Neurology
Matthew R. Brier, Zhuocheng Li, Maria Ly, Helmet T. Karim, Leda Liang, Weixin Du, John E. McCarthy, Anne H. Cross, Tammie L. S. Benzinger, Robert T. Naismith, Salim Chahin
Summary: Brain age, quantified using machine learning applied to structural MRI, is a clinically relevant biomarker that correlates with and predicts increasing disability in patients with multiple sclerosis (MS).
ANNALS OF CLINICAL AND TRANSLATIONAL NEUROLOGY
(2023)
Article
Clinical Neurology
Amit Bar-Or, Anne H. Cross, Anthony L. Cunningham, Yann Hyvert, Andrea Seitzinger, Hans Guehring, Elise E. Drouin, Nektaria Alexandri, Davorka Tomic, Xavier Montalban
Summary: A post hoc analysis showed that Evobrutinib, an investigational drug for patients with relapsing multiple sclerosis (RMS), has an impact on immune responses. The results suggest that the drug acts as an immunomodulator, inhibiting aberrant immune cell responses while maintaining responsiveness to foreign and recall antigens.
MULTIPLE SCLEROSIS JOURNAL
(2023)
Article
Medicine, General & Internal
Amit Bar-Or, Gian-Andrea Thanei, Christopher Harp, Corrado Bernasconi, Ulrike Bonati, Anne H. Cross, Saloumeh Fischer, Laura Gaetano, Stephen L. Hauser, Robert Hendricks, Ludwig Kappos, Jens Kuhle, David Leppert, Fabian Model, Annette Sauter, Harold Koendgen, Xiaoming Jia, Ann E. Herman
Summary: Baseline NfL levels are associated with brain atrophy, lesion expansion, and clinical progression in MS patients. Ocrelizumab treatment reduces NfL levels and eliminates the predictive value of baseline NfL on disability progression. Elevated NfL levels following ocrelizumab treatment may predict increased risk for clinical progression.
Article
Clinical Neurology
Victoria A. Levasseur, Biao Xiang, Amber Salter, Dmitriy A. Yablonskiy, Anne H. Cross
Summary: The study found that CVS occurred in similar proportions in different MS subtypes, and CVS-positive lesions exhibited greater tissue damage and larger size compared to CVS-negative lesions.
JOURNAL OF CENTRAL NERVOUS SYSTEM DISEASE
(2022)