Article
Radiology, Nuclear Medicine & Medical Imaging
Hongxi Zhang, Xingwang Yong, Xiaohui Ma, Jianjiang Zhao, Zhipeng Shen, Xinchun Chen, Fengyu Tian, Weibo Chen, Dan Wu, Yi Zhang
Summary: APT imaging can differentiate high-grade and low-grade gliomas in pediatric patients, and provides additional value beyond quantitative relaxation times.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Peng Wang, Shenghui Xie, Qiong Wu, Lixin Weng, Zhiyue Hao, Pengxuan Yuan, Chi Zhang, Weilin Gao, Shaoyu Wang, Huapeng Zhang, Yang Song, Jinlong He, Yang Gao
Summary: A radiomics-based model (ADGGIP) combining multiple diffusion modalities, clinical features, and imaging morphologic features was developed and validated for predicting the grade of adult-type diffuse gliomas (ADG). The model showed high accuracy in the training cohort, internal validation cohort, and prospective validation cohort.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Tom Finck, Jens Gempt, Claus Zimmer, Jan S. Kirschke, Nico Sollmann
Summary: The study suggests that CE BB imaging can significantly improve the delineation of therapy-naive HGGs compared to traditional TFE imaging, indicating a potential supplementary role for CE BB sequences in MRI protocols for brain tumors.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Angela Bernabeu-Sanz, Maria Fuentes-Baile, Cristina Alenda
Summary: The study found that IDH1-wt tumors are more necrotic than IDH1-mut tumors, and that the infiltrative pattern in HGG is associated with loss of p53 expression, Ki-67 index, and Glx levels. Additionally, tumor choline levels could be used as a predictive factor in survival, in addition to IDH1 status, to provide a more accurate prediction of survival in HGG patients.
EUROPEAN RADIOLOGY
(2021)
Article
Oncology
Ioan Paul Voicu, Antonio Napolitano, Massimo Caulo, Francesco Dotta, Eleonora Piccirilli, Maria Vinci, Francesca Diomedi-Camassei, Lorenzo Lattavo, Alessia Carboni, Evelina Miele, Antonella Cacchione, Andrea Carai, Paolo Toma, Angela Mastronuzzi, Giovanna Stefania Colafati
Summary: This study investigated the accuracy of using diffusion kurtosis imaging (DKI) metrics for grading pediatric gliomas and its correlation with patient survival. The results showed that the DKI-based predictive model was highly accurate for pediatric glioma grading and the predictions were significantly correlated with progression-free survival and overall survival.
Article
Oncology
Hye In Lee, Min Kyoung Kang, Kihwan Hwang, Chae-Yong Kim, Yu Jung Kim, Koung Jin Suh, Byung Se Choi, Gheeyoung Choe, In Ah Kim, Bum-Sup Jang
Summary: This study evaluated the volumetric changes in gray matter after radiotherapy and identified factors strongly associated with volume reduction. The results showed that gray matter volume decreased after radiotherapy, with the greatest reductions observed in the areas responsible for cognition and execution of movement. Female sex and age at radiotherapy were significantly associated with volume reduction, with older patients experiencing greater reductions over time. Individualized treatment and prevention strategies are necessary for susceptible patients.
RADIOTHERAPY AND ONCOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Gauthier Dodin, Julia Salleron, Salma Jendoubi, Waled Abou Arab, Francois Sirveaux, Alain Blum, Pedro Augusto Gondim Teixeira
Summary: The study evaluated the added value of DWI, qualitative proton MR spectroscopy (H-MRS), and dynamic contrast-enhanced perfusion (DCE-P) in differentiating benign and malignant non-fatty soft tissue tumors (NFSTT) compared to conventional MRI. The combination of advanced techniques, including DWI, H-MRS, and DCE-P, showed improved accuracy and specificity in identifying malignant tumors, leading to a decrease in the number of tumors deemed indeterminate after conventional MRI analysis.
EUROPEAN RADIOLOGY
(2021)
Article
Oncology
Jim Zhong, Vicki Huang, Saumya S. Gurbani, Karthik Ramesh, J. Scott Cordova, Eduard Schreibmann, Hui-Kuo G. Shu, Jeffrey Olson, Hui Han, Alexander Giuffrida, Hyunsuk Shim, Brent D. Weinberg
Summary: The study aims to investigate the improvement of characterization and tissue sampling of low-to-intermediate grade gliomas using MRSI, and the results indicate that MRSI is predictive of areas of subsequent recurrence in these patients.
JOURNAL OF NEURO-ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jian-ping Chu, Yu-kun Song, Yi-su Tian, Hai-shan Qiu, Xia-hua Huang, Yu-liang Wang, Ying-qian Huang, Jing Zhao
Summary: Among the three ROI methods, the ROI-10s method had the least time spent and the best diagnostic value for a comprehensive evaluation of glioma. It is an effective way to process DKI data and has important application value in the clinical evaluation of glioma. The model based on ROI-10s that included patient age and mean diffusivity showed the highest prediction value in survival analysis (C-index, 0.81).
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Ioan Paul Voicu, Emanuele Pravata, Valentina Panara, Riccardo Navarra, Peter A. Mattei, Massimo Caulo
Summary: The purpose of this study was to investigate the diagnostic efficacy of MRI diagnostic algorithms in distinguishing between high-grade glioma and solitary brain metastases. The results showed that the qualitative algorithm had poor performance, while the analytical qualitative algorithm and the semi-quantitative algorithm had similar results. The data-driven quantitative algorithm achieved excellent differentiation.
Article
Oncology
Guanghui Song, Guanbao Xie, Yan Nie, Mohammed Sh. Majid, Iman Yavari
Summary: This study provides an important method for the diagnosis of glioma through the research of deep learning techniques on MRI scans.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2023)
Review
Oncology
Malik Galijasevic, Ruth Steiger, Stephanie Mangesius, Julian Mangesius, Johannes Kerschbaumer, Christian Franz Freyschlag, Nadja Gruber, Tanja Janjic, Elke Ruth Gizewski, Astrid Ellen Grams
Summary: This review provides an insight into the use of magnetic resonance spectroscopy (MRS) in the diagnosis and follow-up of gliomas. It covers both proton and phosphorous MRS techniques in clinical and scientific practice, including preoperative grade prediction and post-treatment follow-up. The review also discusses the current research utility and possible future strategies of proton and phosphorous MRS in glioma research.
Article
Chemistry, Multidisciplinary
Andrzej Urbanik, Iwona Kucybala, Przemyslaw Gula, Maciej Brozyna, Wieslaw Guz
Summary: The aim of this study was to evaluate common anomalies in head MRI examinations of soldiers and compare the relative concentrations of MRS metabolites in the brains of soldiers with healthy controls. The study included 54 male soldiers and 46 healthy, age-matched males as the control group. The findings in head MRI of soldiers included asymmetric lateral ventricles, dilated perivascular spaces, enlargement of subarachnoid spaces, presence of cavum septum pellucidum and cavum vergae, and a high frequency of sinus disease. The metabolite ratios were different in frontal and occipital lobes, suggesting astrogliosis and neuronal loss associated with repetitive mild traumatic brain injury.
APPLIED SCIENCES-BASEL
(2023)
Article
Nanoscience & Nanotechnology
Sheng Wang, Hailin Shen, Qiulian Mao, Qing Tao, Guotao Yuan, Lingli Zeng, Ziying Chen, Yunjiao Zhang, Liang Cheng, Jingzhong Zhang, Hui Dai, Chunhong Hu, Yue Pan, Yonggang Li
Summary: A macrophage loaded with a photothermal nanoprobe was developed to cross the blood-brain barrier and accumulate into deep gliomas for multimodal imaging and guided surgery purposes. This nanoplatform shows promise for achieving accurate diagnosis, imaging-guided surgery, and effective photothermal therapy for gliomas.
ACS APPLIED MATERIALS & INTERFACES
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Paul D. Griffiths, Mariasavina Severino, Deborah Jarvis, Laura Mandefield, Cecilia Parazzini, Lorenzo Pinelli, Marco Di Maurizio, Fabio Triulzi, Elisa Scola, Giorgio Conte, Giovanni Palumbo, Maurilio Genovese, Andrea Rossi, Renzo Guerrini, Andrea Righini
Summary: The study included 64 foetuses with cortical formation abnormalities (CFA) who underwent two in utero magnetic resonance (iuMR) exams, with 62% showing consistent CFA description between the two studies. In 38% of cases, there was a category change, including cases without CFA initially detected, changes in laterality/symmetry, and re-classification within the same group. Brain abnormalities other than CFA were present in around half of the cases on both first and second studies. Prognosis was predicted to have changed in 8% of cases based on the second study, with all indicating a worse prognosis.
EUROPEAN RADIOLOGY
(2021)
Article
Clinical Neurology
Ralf Gold, Douglas L. Arnold, Amit Bar-Or, Robert J. Fox, Ludwig Kappos, Oksana Mokliatchouk, Xiaotong Jiang, Jennifer Lyons, Shivani Kapadia, Catherine Miller
Summary: This study assessed the long-term safety and efficacy of dimethyl fumarate (DMF) in multiple sclerosis patients for up to 13 years. The results demonstrate sustained safety and efficacy of DMF treatment, with low annualized relapse rates and a majority of patients showing no disability worsening over the long-term treatment period. This supports the positive benefit-risk profile of DMF for long-term RRMS treatment.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Clinical Neurology
Fred D. Lublin, Dieter A. Haering, Habib Ganjgahi, Alex Ocampo, Farhad Hatami, Jelena Cuklina, Piet Aarden, Frank Dahlke, Douglas L. Arnold, Heinz Wiendl, Tanuja Chitnis, Thomas E. Nichols, Bernd C. Kieseier, Robert A. Bermel
Summary: Patients with multiple sclerosis can acquire disability through either relapse-associated worsening or progression independent of relapses. This study found that early progression begins in all phenotypes of the disease, becoming the primary driver of disability accumulation in the progressive phase. Treatments with disease-modifying therapies significantly delay disability accumulation, with the greatest impact seen in patients in the earliest stages of multiple sclerosis.
Article
Computer Science, Interdisciplinary Applications
Raghav Mehta, Thomas Christinck, Tanya Nair, Aurelie Bussy, Swapna Premasiri, Manuela Costantino, M. Mallar Chakravarthy, Douglas L. Arnold, Yarin Gal, Tal Arbel
Summary: The paper proposes to improve the performance of deep learning models in medical imaging tasks by embedding uncertainty estimates, and demonstrates the effectiveness of this approach in three different clinical contexts, including Multiple Sclerosis, brain tumors, and Alzheimer's disease.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Clinical Neurology
Giulia Fadda, Patrick Waters, Mark Woodhall, Robert A. Brown, Julia O'Mahony, Denise A. Castro, Giulia Longoni, E. Ann Yeh, Ruth Ann Marrie, Douglas L. Arnold, Brenda Banwell, Amit Bar-Or
Summary: Considering MOGAD as a distinct disease from MS, this study highlights the importance of considering MOG-IgG serology when applying MS diagnostic criteria in children. MOG-IgG seropositivity is associated with atypical features and predicts a non-MS disease course.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Clinical Neurology
Bruce A. C. Cree, Douglas L. Arnold, Robert J. Fox, Ralf Gold, Patrick Vermersch, Ralph H. B. Benedict, Amit Bar-Or, Daniela Piani-Meier, Nicolas Rouyrre, Shannon Ritter, Ajay Kilaru, Goeril Karlsson, Gavin Giovannoni, Ludwig Kappos
Summary: This study evaluated the long-term efficacy and safety of siponimod in the treatment of SPMS. The results showed that continuous use of siponimod reduced the risk of disability progression and worsening in cognitive processing speed, and sustained efficacy was observed in relapse rate, brain atrophy, and inflammatory disease activity. No new safety signals were identified over the long term.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Clinical Neurology
Douglas L. Arnold, Daniela Piani-Meier, Amit Bar-Or, Ralph H. B. Benedict, Bruce A. C. Cree, Gavin Giovannoni, Ralf Gold, Patrick Vermersch, Sophie Arnould, Frank Dahlke, Thomas Hach, Shannon Ritter, Goeril Karlsson, Ludwig Kappos, Robert J. Fox
Summary: The study found that siponimod treatment can slow down brain tissue damage and myelination process in patients with multiple sclerosis. This provides important information for better understanding of brain tissue integrity in patients with multiple sclerosis.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Clinical Neurology
Douglas L. Arnold, Till Sprenger, Amit Bar-Or, Jerry S. Wolinsky, Ludwig Kappos, Shannon Kolind, Ulrike Bonati, Stefano Magon, Johan van Beek, Harold Koendgen, Oscar Bortolami, Corrado Bernasconi, Laura Gaetano, Anthony Traboulsee
Summary: Ocrelizumab significantly reduces thalamic volume loss in patients with multiple sclerosis, and the protective effect on thalamic tissue preservation persists over time.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Clinical Neurology
Bruce A. C. Cree, Krzysztof W. Selmaj, Lawrence Steinman, Giancarlo Comi, Amit Bar-Or, Douglas L. Arnold, Hans-Peter Hartung, Xavier Montalban, Eva K. Havrdova, James K. Sheffield, Neil Minton, Chun-Yen Cheng, Diego Silva, Ludwig Kappos, Jeffrey A. Cohen
Summary: This study characterizes the long-term safety and efficacy of ozanimod in the treatment of relapsing forms of multiple sclerosis. The findings confirm a favorable safety profile and sustained benefit in clinical outcomes and magnetic resonance imaging measures of disease activity.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Clinical Neurology
Ian J. Tagge, Ilana R. Leppert, Dumitru Fetco, Jennifer Sw Campbell, David A. Rudko, Robert A. Brown, Nikola Stikov, G. Bruce Pike, Paul S. Giacomini, Douglas L. Arnold, Sridar Narayanan
Summary: This study investigates the relationship between MRI measures of axonal and myelin volume fractions in normal-appearing white matter (NAWM) and the development of black-hole (BH) and non-BH lesions in people with MS. The results show that pre-lesion abnormalities are associated with worse long-term lesion-level outcomes, but no significant pre-lesion abnormalities were found in non-BH lesions.
MULTIPLE SCLEROSIS JOURNAL
(2022)
Article
Multidisciplinary Sciences
Jean-Pierre R. Falet, Joshua Durso-Finley, Brennan Nichyporuk, Julien Schroeter, Francesca Bovis, Maria-Pia Sormani, Doina Precup, Tal Arbel, Douglas Lorne Arnold
Summary: This study aims to find a biomarker for the treatment of disability progression in multiple sclerosis and proposes a strategy of using deep learning to increase statistical power.
NATURE COMMUNICATIONS
(2022)
Article
Clinical Neurology
Jens Kuhle, Tanuja Chitnis, Brenda Banwell, Marc Tardieu, Douglas L. Arnold, Andreea M. Rawlings, Svend S. Geertsen, Alex L. Lublin, Stephane Saubadu, Philippe Truffinet, Ludwig Kappos
Summary: The TERIKIDS study demonstrated that teriflunomide is effective and safe in children with relapsing multiple sclerosis (RMS). Teriflunomide treatment is associated with significantly reduced pNfL levels in children with RMS.
MULTIPLE SCLEROSIS JOURNAL
(2023)
Article
Neurosciences
Bastien Caba, Alexandre Cafaro, Aurelien Lombard, Douglas L. Arnold, Colm Elliott, Dawei Liu, Xiaotong Jiang, Arie Gafson, Elizabeth Fisher, Shibeshih Mitiku Belachew, Nikos Paragios
Summary: In this study, a novel machine learning approach is developed for the automatic detection of acute multiple sclerosis (MS) lesions using single-timepoint non-contrast T1- and T2-weighted brain MRI. By using image inpainting, the MRI input data is supplemented, and a multi-objective statistical ranking module and ensemble classifier are used for analysis, leading to the identification of a compact textural signature characterizing the lesion phenotype. Our method achieves a balanced accuracy in the range of 74.3-74.6% on fully external validation cohorts for the patch-level task of acute versus chronic MS lesion classification.
Article
Clinical Neurology
Colm Elliott, David A. Rudko, Douglas L. Arnold, Dumitru Fetco, Ahmed M. Elkady, David Araujo, Bing Zhu, Arie Gafson, Zhe Tian, Shibeshih Belachew, Daniel P. Bradley, Elizabeth Fisher
Summary: This study aimed to assess the lesion-level concordance between paramagnetic rim lesions (PRLs) and slowly expanding lesions (SELs) in chronic active lesions (CALs) of multiple sclerosis (MS), and to characterize changes in brain tissue integrity in CALs. The results showed that co-localization of PRLs and SELs was associated with rapid expansion and worsening of microstructural damage over time, and both SELs with and without co-localization with PRLs showed ongoing tissue damage. Therefore, the coexistence of PRLs and SELs is associated with severe accumulation of tissue damage.
MULTIPLE SCLEROSIS JOURNAL
(2023)
Article
Clinical Neurology
Elisa Colato, Ferran Prados, Jonathan Stutters, Alessia Bianchi, Sridar Narayanan, Douglas L. Arnold, Claudia Wheeler-Kingshott, Frederik Barkhof, Olga Ciccarelli, Declan T. Chard, Arman Eshaghi
Summary: Network-based measures of white and grey matter damage can predict disability progression and cognitive worsening in multiple sclerosis (MS). This study has important implications for identifying patients at risk of disease worsening and for stratifying cohorts in treatment trials.
JOURNAL OF NEUROLOGY NEUROSURGERY AND PSYCHIATRY
(2023)
Article
Clinical Neurology
Barry A. Singer, Douglas L. Arnold, Jelena Drulovic, Mark S. Freedman, Ralf Gold, Mark Gudesblatt, Elzbieta Jasinska, Christopher C. Laganke, Robert T. Naismith, Donald Negroski, Jiwon Oh, Miguel Angel Hernandez Perez, Krzysztof Selmaj, Florian Then Bergh, Annette Wundes, Tjalf Ziemssen, Wanda Castro-Borrero, Hailu Chen, Seth Levin, Matthew Scaramozza, Sai L. Shankar, Ting Wang, Sibyl Wray
Summary: DRF was generally well tolerated over 2 years, with few discontinuations due to AEs; radiological measures indicated decreased disease activity from baseline. These outcomes support DRF as a treatment option in patients with RRMS.
MULTIPLE SCLEROSIS JOURNAL
(2023)