1
|
Faustino R, Lopes C, Jantarada A, Mendonça A, Raposo R, Ferrão C, Freitas J, Mateus C, Pinto A, Almeida E, Gomes N, Marques L, Palavra F. Neuroimaging characterization of multiple sclerosis lesions in pediatric patients: an exploratory radiomics approach. Front Neurosci 2024; 18:1294574. [PMID: 38370435 PMCID: PMC10869542 DOI: 10.3389/fnins.2024.1294574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 01/15/2024] [Indexed: 02/20/2024] Open
Abstract
Introduction Multiple sclerosis (MS), a chronic inflammatory immune-mediated disease of the central nervous system (CNS), is a common condition in young adults, but it can also affect children. The aim of this study was to construct radiomic models of lesions based on magnetic resonance imaging (MRI, T2-weighted-Fluid-Attenuated Inversion Recovery), to understand the correlation between extracted radiomic features, brain and lesion volumetry, demographic, clinical and laboratorial data. Methods The neuroimaging data extracted from eleven scans of pediatric MS patients were analyzed. A total of 60 radiomic features based on MR T2-FLAIR images were extracted and used to calculate gray level co-occurrence matrix (GLCM). The principal component analysis and ROC analysis were performed to select the radiomic features, respectively. The realized classification task by the logistic regression models was performed according to these radiomic features. Results Ten most relevant features were selected from data extracted. The logistic regression applied to T2-FLAIR radiomic features revealed significant predictor for multiple sclerosis (MS) lesion detection. Only the variable "contrast" was statistically significant, indicating that only this variable played a significant role in the model. This approach enhances the classification of lesions from normal tissue. Discussion and conclusion Our exploratory results suggest that the radiomic models based on MR imaging (T2-FLAIR) may have a potential contribution to characterization of brain tissues and classification of lesions in pediatric MS.
Collapse
Affiliation(s)
- Ricardo Faustino
- Neuroimaging and Biomedicine Research Group, Medical Imaging and Radiotherapy Research Unit, CrossI&D: Lisbon Research Center, Portuguese Red Cross Higher Health School (ESSCVP), Lisbon, Portugal
- Faculty of Science, Institute of Biophysics and Biomedical Engineering, University of Lisbon, Lisbon, Portugal
- Biomedical Research Group, Faculty of Engineering, Faculty of Veterinary Medicine NICiTeS, Lusófona University, Lisbon, Portugal
| | - Cristina Lopes
- Neuroimaging and Biomedicine Research Group, Medical Imaging and Radiotherapy Research Unit, CrossI&D: Lisbon Research Center, Portuguese Red Cross Higher Health School (ESSCVP), Lisbon, Portugal
| | - Afonso Jantarada
- Neuroimaging and Biomedicine Research Group, Medical Imaging and Radiotherapy Research Unit, CrossI&D: Lisbon Research Center, Portuguese Red Cross Higher Health School (ESSCVP), Lisbon, Portugal
| | - Ana Mendonça
- Neuroimaging and Biomedicine Research Group, Medical Imaging and Radiotherapy Research Unit, CrossI&D: Lisbon Research Center, Portuguese Red Cross Higher Health School (ESSCVP), Lisbon, Portugal
| | - Rafael Raposo
- Neuroimaging and Biomedicine Research Group, Medical Imaging and Radiotherapy Research Unit, CrossI&D: Lisbon Research Center, Portuguese Red Cross Higher Health School (ESSCVP), Lisbon, Portugal
| | - Cristina Ferrão
- Neuroimaging and Biomedicine Research Group, Medical Imaging and Radiotherapy Research Unit, CrossI&D: Lisbon Research Center, Portuguese Red Cross Higher Health School (ESSCVP), Lisbon, Portugal
| | - Joana Freitas
- Neuroimaging and Biomedicine Research Group, Medical Imaging and Radiotherapy Research Unit, CrossI&D: Lisbon Research Center, Portuguese Red Cross Higher Health School (ESSCVP), Lisbon, Portugal
| | - Constança Mateus
- Neuroimaging and Biomedicine Research Group, Medical Imaging and Radiotherapy Research Unit, CrossI&D: Lisbon Research Center, Portuguese Red Cross Higher Health School (ESSCVP), Lisbon, Portugal
| | - Ana Pinto
- Neuroimaging and Biomedicine Research Group, Medical Imaging and Radiotherapy Research Unit, CrossI&D: Lisbon Research Center, Portuguese Red Cross Higher Health School (ESSCVP), Lisbon, Portugal
| | - Ellen Almeida
- Neuroimaging and Biomedicine Research Group, Medical Imaging and Radiotherapy Research Unit, CrossI&D: Lisbon Research Center, Portuguese Red Cross Higher Health School (ESSCVP), Lisbon, Portugal
| | - Nuno Gomes
- Neuroimaging and Biomedicine Research Group, Medical Imaging and Radiotherapy Research Unit, CrossI&D: Lisbon Research Center, Portuguese Red Cross Higher Health School (ESSCVP), Lisbon, Portugal
| | - Liliana Marques
- Neuroimaging and Biomedicine Research Group, Medical Imaging and Radiotherapy Research Unit, CrossI&D: Lisbon Research Center, Portuguese Red Cross Higher Health School (ESSCVP), Lisbon, Portugal
| | - Filipe Palavra
- Centre for Child Development – Neuropediatrics Unit, Hospital Pediátrico, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- Laboratory of Pharmacology and Experimental Therapeutics, Faculty of Medicine, Coimbra Institute for Clinical and Biomedical Research, University of Coimbra, Coimbra, Portugal
- Clinical Academic Center of Coimbra, Coimbra, Portugal
| |
Collapse
|
2
|
Zhang X, Hao H, Jin T, Qiu W, Yang H, Xue Q, Yin J, Shi Z, Yu H, Ji X, Sun X, Zeng Q, Liu X, Wang J, Li H, He X, Yang J, Li Y, Liu S, Lau AY, Gao F, Hu S, Chu S, Ding D, Zhou H, Li H, Chen X. Cerebrospinal fluid oligoclonal bands in Chinese patients with multiple sclerosis: the prevalence and its association with clinical features. Front Immunol 2023; 14:1280020. [PMID: 38035077 PMCID: PMC10687400 DOI: 10.3389/fimmu.2023.1280020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2023] [Accepted: 10/27/2023] [Indexed: 12/02/2023] Open
Abstract
Background Cerebrospinal fluid oligoclonal band (CSF-OCB) is an established biomarker in diagnosing multiple sclerosis (MS), however, there are no nationwide data on CSF-OCB prevalence and its diagnostic performance in Chinese MS patients, especially in the virtue of common standard operation procedure (SOP). Methods With a consensus SOP and the same isoelectric focusing system, we conducted a nationwide multi-center study on OCB status in consecutively, and recruited 483 MS patients and 880 non-MS patients, including neuro-inflammatory diseases (NID, n = 595) and non-inflammatory neurological diseases (NIND, n=285). Using a standardized case report form (CRF) to collect the clinical, radiological, immunological, and CSF data, we explored the association of CSF-OCB positivity with patient characters and the diagnostic performance of CSF-OCB in Chinese MS patients. Prospective source data collection, and retrospective data acquisition and statistical data analysis were used. Findings 369 (76.4%) MS patients were OCB-positive, while 109 NID patients (18.3%) and 6 NIND patients (2.1%) were OCB-positive, respectively. Time from symptom onset to diagnosis was significantly shorter in OCB-positive than that in OCB-negative MS patients (13.2 vs 23.7 months, P=0.020). The prevalence of CSF-OCB in Chinese MS patients was significantly higher in high-latitude regions (41°-50°N)(P=0.016), and at high altitudes (>1000m)(P=0.025). The diagnostic performance of CSF-OCB differentiating MS from non-MS patients yielded a sensitivity of 76%, a specificity of 87%. Interpretation The nationwide prevalence of CSF-OCB was 76.4% in Chinese MS patients, and demonstrated a good diagnostic performance in differentiating MS from other CNS diseases. The CSF-OCB prevalence showed a correlation with high latitude and altitude in Chinese MS patients.
Collapse
Affiliation(s)
- Xiang Zhang
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Hongjun Hao
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Tao Jin
- Department of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, China
| | - Wei Qiu
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Huan Yang
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qun Xue
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jian Yin
- Department of Neurology, Beijing Hospital, Beijing, China
| | - Ziyan Shi
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Hai Yu
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Xiaopei Ji
- Department of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Xiaobo Sun
- Department of Neurology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Qiuming Zeng
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoni Liu
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Jingguo Wang
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Huining Li
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaoyan He
- Department of Neurology, The Xinjiang Uygur Autonomous Region People’s Hospital, Urumqi, China
| | - Jing Yang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yarong Li
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Shuangshuang Liu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Alexander Y. Lau
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Feng Gao
- Department of Neurology, Peking University First Hospital, Beijing, China
| | - Shimin Hu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Department of Clinical Epidemiology and Evidence-Based Medicine, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Shuguang Chu
- Department of Radiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ding Ding
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| | - Hongyu Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
| | - Haifeng Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiangjun Chen
- Department of Neurology, Huashan Hospital, Fudan University and Institute of Neurology, Fudan University, National Center for Neurological Disorders, Shanghai, China
| |
Collapse
|
3
|
Wang M, Liu C, Zou M, Niu Z, Zhu J, Jin T. Recent progress in epidemiology, clinical features, and therapy of multiple sclerosis in China. Ther Adv Neurol Disord 2023; 16:17562864231193816. [PMID: 37719665 PMCID: PMC10504852 DOI: 10.1177/17562864231193816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 07/24/2023] [Indexed: 09/19/2023] Open
Abstract
Multiple sclerosis (MS) is a demyelinating disease of the central nervous system characterized by inflammation, demyelination, and neurodegeneration. It mainly affects young adults, imposing a heavy burden on families and society. The epidemiology, clinical features, and management of MS are distinct among different countries. Although MS is a rare disease in China, there are 1.4 billion people in China, so the total number of MS patients is not small. Because of the lack of specific diagnostic biomarkers for MS, there is a high misdiagnosis rate in China, as in other regions. Due to different genetic backgrounds, the clinical manifestations of MS in Chinese are different from those in the West. Herein, this review aims to summarize the disease comprehensively, including clinical profile and the status of disease-modifying therapies in China based on published population-based observation and cohort studies, and also to compare with data from other countries and regions, thus providing help to develop diagnostic guideline and the novel therapeutic drugs. Meanwhile, we also discuss the problems and challenges we face, specifically for the diagnosis and treatment of MS in the middle- and low-income countries.
Collapse
Affiliation(s)
- Meng Wang
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Caiyun Liu
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Meijuan Zou
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Zixuan Niu
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Jie Zhu
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, No. 1, Xinmin Street, Changchun 130021, China
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Karolinska University Hospital, Solna, Stockholm 171 64, Sweden
| | - Tao Jin
- Neuroscience Center, Department of Neurology, The First Hospital of Jilin University, No. 1, Xinmin Street, Changchun 130021, China
| |
Collapse
|
4
|
Aleksandravičiūtė E, Stankevičiūtė R, Balnytė R, Šaknys L, Ulozienė I. Oligoclonal Band Status and Features of Radiological and Clinical Findings in Patients with Multiple Sclerosis in Lithuania. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1028. [PMID: 37374232 PMCID: PMC10301297 DOI: 10.3390/medicina59061028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/23/2023] [Accepted: 05/24/2023] [Indexed: 06/29/2023]
Abstract
Background and Objectives: Multiple sclerosis (MS) is a widely spread and debilitating disease with 2.8 million people worldwide currently affected. However, the exact pathogenesis of the disease and its progression remains incompletely understood. According to the revised McDonald criteria, cerebrospinal fluid oligoclonal bands (CSF OCBs) magnetic resonance imaging (MRI) results, in conjunction with clinical presentation, remain the gold standard of MS diagnostics. Therefore, this study aims to evaluate the association between CSF OCB status and features of radiological and clinical findings in patients with multiple sclerosis in Lithuania. Materials and Methods: The selection of 200 MS patients was performed in order to find associations between CSF OCB status, MRI data and various disease features. The data were acquired from outpatient records and a retrospective analysis was performed. Results: OCB positive patients were diagnosed with MS earlier and had spinal cord lesions more frequently than OCB negative patients. Patients with lesions in the corpus callosum had a greater increase in the Expanded Disability Status Scale (EDSS) score between their first and last visit. Patients with brainstem lesions had higher EDSS scores during their first and last visit. Even so, the progression of the EDSS score was not greater. The time between the first symptoms and diagnosis was shorter for patients who had juxtacortical lesions than patients who did not. Conclusions: CSF OCBs and MRI data remain irreplaceable tools when diagnosing multiple sclerosis as well as prognosing the development of the disease and disability.
Collapse
Affiliation(s)
- Emilija Aleksandravičiūtė
- Department of Neurology, Lithuanian University of Health Sciences Medical Academy, A. Mickevičiaus g.9, LT-44307 Kaunas, Lithuania
| | - Radvilė Stankevičiūtė
- Department of Neurology, Lithuanian University of Health Sciences Medical Academy, A. Mickevičiaus g.9, LT-44307 Kaunas, Lithuania
| | - Renata Balnytė
- Department of Neurology, Lithuanian University of Health Sciences Medical Academy, A. Mickevičiaus g.9, LT-44307 Kaunas, Lithuania
| | - Laurynas Šaknys
- Department of Neurology, Lithuanian University of Health Sciences Medical Academy, A. Mickevičiaus g.9, LT-44307 Kaunas, Lithuania
| | - Ingrida Ulozienė
- Department of Otorhinolaringology, Lithuanian University of Health Sciences Medical Academy, A. Mickevičiaus g.9, LT-44307 Kaunas, Lithuania
| |
Collapse
|
5
|
Kantorová E, Hnilicová P, Bogner W, Grendár M, Čierny D, Hečková E, Strasser B, Ružinák R, Zeleňák K, Kurča E. Positivity of oligoclonal bands in the cerebrospinal fluid predisposed to metabolic changes and rearrangement of inhibitory/excitatory neurotransmitters in subcortical brain structures in multiple sclerosis. Mult Scler Relat Disord 2021; 52:102978. [PMID: 34015640 DOI: 10.1016/j.msard.2021.102978] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 04/16/2021] [Accepted: 04/18/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND The latest diagnostic criteria for multiple sclerosis (MS) have revitalized the role of oligoclonal bands synthesis in the cerebrospinal fluid (CSF-OCB). This study identifies predictors of CSF-OCB-positivity among in vivo metabolic markers in the subcortical gray/white matter in MS patients after their first episode (CIS) and in patients with relapsing-remitting course (RRMS). METHODS The study enrolled 13 CIS and 23 RRMS patients. Metabolism was evaluated using Mescher-Garwood-edited proton-magnetic resonance spectroscopy on a 3T MR scanner. In addition to N-acetyl-aspartate (tNAA), myoinositol (mIns), and choline- and creatine compounds (tCho, tCr) were also evaluated γ-aminobutyric acid (GABA) and glutamate-glutamine (Glx) ratios. RESULTS CSF-OCB-positivity was found in 76.9% of CIS and 78.2% of RRMS patients. GABA and Glx ratios in putamen and corpus callosum strongly determined CSF-OCB-positive CIS patients. Other essential predictors of CSF-OCB-positive CIS were mIns and Glx ratios in the putamen, and tCho/tNAA in the corpus callosum. In RRMS, GABA ratios in the right thalamus and Glx ratios in the left hippocampus strongly predicted CSF-OCB-positive patients. tCho/tNAA and tNAA/tCr in the left hippocampus were also identified as essential predictors of CSF-OCB-positive RRMS patients. CONCLUSION This is the first in vivo evidence of GABA-Glx rearrangement in CSF-OCB-positive patients since its early stages of MS.
Collapse
Affiliation(s)
- Ema Kantorová
- Clinic of Neurology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 036 01 Martin, Slovakia.
| | - Petra Hnilicová
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 036 01 Martin, Slovakia.
| | - Wolfgang Bogner
- Department of Biomedical Imaging and Image-Guided Therapy, High-field MR Center, Medical University of Vienna, 1090 Vienna, Austria.
| | - Marián Grendár
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 036 01 Martin, Slovakia.
| | - Daniel Čierny
- Department of Clinical Biochemistry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 036 01 Martin, Slovakia.
| | - Eva Hečková
- Department of Biomedical Imaging and Image-Guided Therapy, High-field MR Center, Medical University of Vienna, 1090 Vienna, Austria.
| | - Bernhard Strasser
- Department of Biomedical Imaging and Image-Guided Therapy, High-field MR Center, Medical University of Vienna, 1090 Vienna, Austria.
| | - Róbert Ružinák
- Clinic of Neurology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 036 01 Martin, Slovakia.
| | - Kamil Zeleňák
- Clinic of Radiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 036 01 Martin, Slovakia.
| | - Egon Kurča
- Clinic of Neurology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 036 01 Martin, Slovakia.
| |
Collapse
|