RESUMO

Multiple sclerosis (MS) is the most common acquired inflammatory and demyelinating disease in adults. The conventional diagnostic of MS and the follow-up of inflammatory activity is based on the detection of hyperintense foci in T2 and fluid-attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI) and lesions with brain-blood barrier (BBB) disruption in the central nervous system (CNS) parenchyma. However, T2/FLAIR hyperintense lesions are not specific to MS and the MS pathology and inflammatory processes go far beyond focal lesions and can be independent of BBB disruption. MRI techniques based on the magnetic susceptibility properties of the tissue, such as T2*, susceptibility-weighted images (SWI), and quantitative susceptibility mapping (QSM) offer tools for advanced MS diagnostic, follow-up, and the assessment of more detailed features of MS dynamic pathology. Susceptibility-weighted techniques are sensitive to the paramagnetic components of biological tissues, such as deoxyhemoglobin. This capability enables the visualization of brain parenchymal veins. Consequently, it presents an opportunity to identify veins within the core of multiple sclerosis (MS) lesions, thereby affirming their venocentric characteristics. This advancement significantly enhances the accuracy of the differential diagnostic process. Another important paramagnetic component in biological tissues is iron. In MS, the dynamic trafficking of iron between different cells, such as oligodendrocytes, astrocytes, and microglia, enables the study of different stages of demyelination and remyelination. Furthermore, the accumulation of iron in activated microglia serves as an indicator of latent inflammatory activity in chronic MS lesions, termed paramagnetic rim lesions (PRLs). PRLs have been correlated with disease progression and degenerative processes, underscoring their significance in MS pathology. This review will elucidate the underlying physical principles of magnetic susceptibility and their implications for the formation and interpretation of T2*, SWI, and QSM sequences. Additionally, it will explore their applications in multiple sclerosis (MS), particularly in detecting the central vein sign (CVS) and PRLs, and assessing iron metabolism. Furthermore, the review will discuss their role in advancing early and precise MS diagnosis and prognostic evaluation, as well as their utility in studying chronic active inflammation and degenerative processes.

RESUMO

Radiology has a number of characteristics that make it an especially suitable medical discipline for early artificial intelligence (AI) adoption. These include having a well-established digital workflow, standardized protocols for image storage, and numerous well-defined interpretive activities. The more than 200 commercial radiologic AI-based products recently approved by the Food and Drug Administration (FDA) to assist radiologists in a number of narrow image-analysis tasks such as image enhancement, workflow triage, and quantification, corroborate this observation. However, in order to leverage AI to boost efficacy and efficiency, and to overcome substantial obstacles to widespread successful clinical use of these products, radiologists should become familiarized with the emerging applications in their particular areas of expertise. In light of this, in this article we survey the existing literature on the application of AI-based techniques in neuroradiology, focusing on conditions such as vascular diseases, epilepsy, and demyelinating and neurodegenerative conditions. We also introduce some of the algorithms behind the applications, briefly discuss a few of the challenges of generalization in the use of AI models in neuroradiology, and skate over the most relevant commercially available solutions adopted in clinical practice. If well designed, AI algorithms have the potential to radically improve radiology, strengthening image analysis, enhancing the value of quantitative imaging techniques, and mitigating diagnostic errors.

A radiologia tem uma série de características que a torna uma disciplina médica especialmente adequada à adoção precoce da inteligência artificial (IA), incluindo um fluxo de trabalho digital bem estabelecido, protocolos padronizados para armazenamento de imagens e inúmeras atividades interpretativas bem definidas. Tal adequação é corroborada pelos mais de 200 produtos radiológicos comerciais baseados em IA recentemente aprovados pelo Food and Drug Administration (FDA) para auxiliar os radiologistas em uma série de tarefas restritas de análise de imagens, como quantificação, triagem de fluxo de trabalho e aprimoramento da qualidade das imagens. Entretanto, para o aumento da eficácia e eficiência da IA, além de uma utilização clínica bem-sucedida dos produtos que utilizam essa tecnologia, os radiologistas devem estar atualizados com as aplicações em suas áreas específicas de atuação. Assim, neste artigo, pesquisamos na literatura existente aplicações baseadas em IA em neurorradiologia, mais especificamente em condições como doenças vasculares, epilepsia, condições desmielinizantes e neurodegenerativas. Também abordamos os principais algoritmos por trás de tais aplicações, discutimos alguns dos desafios na generalização no uso desses modelos e introduzimos as soluções comercialmente disponíveis mais relevantes adotadas na prática clínica. Se cautelosamente desenvolvidos, os algoritmos de IA têm o potencial de melhorar radicalmente a radiologia, aperfeiçoando a análise de imagens, aumentando o valor das técnicas de imagem quantitativas e mitigando erros de diagnóstico.

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RESUMO

T1/T2-weighted ratio is a novel magnetic resonance imaging (MRI) biomarker based on conventional sequences, related to microstructural integrity and with increasing use in multiple sclerosis (MS) research. Different from other advanced MRI techniques, this method has the advantage of being based on routinely acquired MRI sequences, a feature that enables analysis of retrospective cohorts with considerable clinical value. This article provides an overview of this method, describing the previous cross-sectional and longitudinal findings in the main MS clinical phenotypes and in different brain tissues: focal white matter (WM) lesions, normal-appearing white matter (NAWM), cortical gray matter (GM), and deep normal-appearing gray matter (NAGM). We also discuss the clinical associations, possible reasons for conflicting results, correlations with other MRI-based measures, and histopathological associations. We highlight the limitations of the biomarker itself and the methodology of each study. Finally, we update the reader on its potential use as an imaging biomarker in research.

Assuntos

RESUMO

Abstract Radiology has a number of characteristics that make it an especially suitable medical discipline for early artificial intelligence (AI) adoption. These include having a well-established digital workflow, standardized protocols for image storage, and numerous well-defined interpretive activities. The more than 200 commercial radiologic AI-based products recently approved by the Food and Drug Administration (FDA) to assist radiologists in a number of narrow image-analysis tasks such as image enhancement, workflow triage, and quantification, corroborate this observation. However, in order to leverage AI to boost efficacy and efficiency, and to overcome substantial obstacles to widespread successful clinical use of these products, radiologists should become familiarized with the emerging applications in their particular areas of expertise. In light of this, in this article we survey the existing literature on the application of AI-based techniques in neuroradiology, focusing on conditions such as vascular diseases, epilepsy, and demyelinating and neurodegenerative conditions. We also introduce some of the algorithms behind the applications, briefly discuss a few of the challenges of generalization in the use of AI models in neuroradiology, and skate over the most relevant commercially available solutions adopted in clinical practice. If well designed, AI algorithms have the potential to radically improve radiology, strengthening image analysis, enhancing the value of quantitative imaging techniques, and mitigating diagnostic errors.

Resumo A radiologia tem uma série de características que a torna uma disciplina médica especialmente adequada à adoção precoce da inteligência artificial (IA), incluindo um fluxo de trabalho digital bem estabelecido, protocolos padronizados para armazenamento de imagens e inúmeras atividades interpretativas bem definidas. Tal adequação é corroborada pelos mais de 200 produtos radiológicos comerciais baseados em IA recentemente aprovados pelo Food and Drug Administration (FDA) para auxiliar os radiologistas em uma série de tarefas restritas de análise de imagens, como quantificação, triagem de fluxo de trabalho e aprimoramento da qualidade das imagens. Entretanto, para o aumento da eficácia e eficiência da IA, além de uma utilização clínica bem-sucedida dos produtos que utilizam essa tecnologia, os radiologistas devem estar atualizados com as aplicações em suas áreas específicas de atuação. Assim, neste artigo, pesquisamos na literatura existente aplicações baseadas em IA em neurorradiologia, mais especificamente em condições como doenças vasculares, epilepsia, condições desmielinizantes e neurodegenerativas. Também abordamos os principais algoritmos por trás de tais aplicações, discutimos alguns dos desafios na generalização no uso desses modelos e introduzimos as soluções comercialmente disponíveis mais relevantes adotadas na prática clínica. Se cautelosamente desenvolvidos, os algoritmos de IA têm o potencial de melhorar radicalmente a radiologia, aperfeiçoando a análise de imagens, aumentando o valor das técnicas de imagem quantitativas e mitigando erros de diagnóstico.

RESUMO

BACKGROUND: Multiple sclerosis misdiagnosis remains a problem despite the well-validated McDonald 2017. For proper evaluation of errors in the diagnostic process that lead to misdiagnosis, it is adequate to incorporate patients who are already under regular follow-up at reference centers of demyelinating diseases. OBJECTIVES: To evaluate multiple sclerosis misdiagnosis in patients who are on follow-up at a reference center of demyelinating diseases in Brazil. METHODS: We designed an observational study including patients in regular follow-up, who were diagnosed with multiple sclerosis at our specialized outpatient clinic in the Hospital of Clinics in the University of Sao Paulo, from 1996 to 2021, and were reassessed for misdiagnosis in 2022. We evaluated demographic information, clinical profile, and complementary exams and classified participants as "established multiple sclerosis," "non-multiple sclerosis, diagnosed," and "non-multiple sclerosis, undiagnosed." Failures in the diagnostic process were assessed by the modified Diagnostic Error Evaluation and Research tool. RESULTS: A total of 201 patients were included. After analysis, 191/201 (95.02%) participants were confirmed as "established multiple sclerosis," 5/201 (2.49%) were defined as "non-multiple sclerosis, diagnosed," and 5/201 (2.49%) were defined as "non-multiple sclerosis, undiagnosed." CONCLUSIONS: Multiple sclerosis misdiagnosis persists in reference centers, emphasizing the need for careful interpretation of clinical findings to prevent errors.

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BACKGROUND: There is clinical and radiological overlap among demyelinating diseases. However, their pathophysiological mechanisms are different and carry distinct prognoses and treatment demands. OBJECTIVE: To investigate magnetic resonance imaging (MRI) features of patients with myelin-oligodendrocyte glycoprotein associated disease (MOGAD), antibody against aquaporin-4(AQP-4)-immunoglobulin G-positive neuromyelitis optica spectrum disorder (AQP4-IgG NMOSD), and double-seronegative patients. METHODS: A cross-sectional retrospective study was performed to analyze the topography and morphology of central nervous system (CNS) lesions. Two neuroradiologists consensually analyzed the brain, orbit, and spinal cord images. RESULTS: In total, 68 patients were enrolled in the study (25 with AQP4-IgG-positive NMOSD, 28 with MOGAD, and 15 double-seronegative patients). There were differences in clinical presentation among the groups. The MOGAD group had less brain involvement (39.2%) than the NMOSD group (p = 0.002), mostly in the subcortical/juxtacortical, the midbrain, the middle cerebellar peduncle, and the cerebellum. Double-seronegative patients had more brain involvement (80%) with larger and tumefactive lesion morphology. In addition, double-seronegative patients showed the longest optic neuritis (p = 0.006), which was more prevalent in the intracranial optic nerve compartment. AQP4-IgG-positive NMOSD optic neuritis had a predominant optic-chiasm location, and brain lesions mainly affected hypothalamic regions and the postrema area (MOGAD versus AQP4-IgG-positive NMOSD, p= 0 .013). Furthermore, this group had more spinal cord lesions (78.3%), and bright spotty lesions were a paramount finding to differentiate it from MOGAD (p = 0.003). CONCLUSION: The pooled analysis of lesion topography, morphology, and signal intensity provides critical information to help clinicians form a timely differential diagnosis.

ANTECEDENTES: Há sobreposição clínica e radiológica entre as doenças desmielinizantes. No entanto, seus mecanismos fisiopatológicos são diferentes e apresentam prognósticos e demandas de tratamento distintos. OBJETIVO: Investigar as características de imagens de RM dos pacientes com doença associada à glicoproteína de oligodendrócito de mielina (MOGAD), a doenças do espectro da neuromielite óptica positivas para antiaquaporina-4 imunoglobulina G (AQP4-IgG NMOSD), e pacientes duplamente soronegativos. MéTODOS: Estudo retrospectivo e transversal para analisar as características e frequência das lesões do sistema nervoso central (SNC). Dois neurorradiologistas avaliaram consensualmente as imagens do cérebro, das órbitas e da medula espinhal. RESULTADOS: Ao todo, foram incluídos 68 pacientes(25 com AQP4-IgG NMOSD, 28 com MOGAD e 15 duplo-soronegativos). Há diferenças na apresentação clínica entre os grupos. O grupo MOGAD demonstrou menor frequência de comprometimento do cérebro (39.2%) comparado com o AQP4-IgG NMOSD (p = 0.002), com predomínio da distribuição das lesões nas regiões subcortical/justacortical, mesencéfalo, pedúnculos cerebelares médios e cerebelo. O grupo duplo-soronegativo demonstrou maior frequência de comprometimento do cérebro (80%), com lesões de maiores dimensões e com morfologia tumefeita, além de neurite óptica com maior extensão (p = 0.006). O grupo AQP4-IgG NMOSD demonstrou neurite óptica com predomínio na região óptico-quiasmática e as lesões encefálicas acometeram predominantemente as regiões hipotalâmica e área postrema (MOGAD versus AQP4-IgG NMOSD p = 0.013). Além disso, foram observadas mais lesões na medula espinhal (78.3%) e a presença da "bright spotty lesion" foi um achado primordial para a sua diferenciação com os pacientes MOGAD (p = 0.003). CONCLUSãO: A análise pormenorizada das características das lesões por RM dos pacientes com doenças desmielinizantes imunomediadas fornece informações fundamentais que auxiliam os médicos no diagnóstico diferencial em um momento oportuno.

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Abstract Background There is clinical and radiological overlap among demyelinating diseases. However, their pathophysiological mechanisms are different and carry distinct prognoses and treatment demands. Objective To investigate magnetic resonance imaging (MRI) features of patients with myelin-oligodendrocyte glycoprotein associated disease (MOGAD), antibody against aquaporin-4(AQP-4)-immunoglobulin G-positive neuromyelitis optica spectrum disorder (AQP4-IgG NMOSD), and double-seronegative patients. Methods A cross-sectional retrospective study was performed to analyze the topography and morphology of central nervous system (CNS) lesions. Two neuroradiologists consensually analyzed the brain, orbit, and spinal cord images. Results In total, 68 patients were enrolled in the study (25 with AQP4-IgG-positive NMOSD, 28 with MOGAD, and 15 double-seronegative patients). There were differences in clinical presentation among the groups. The MOGAD group had less brain involvement (39.2%) than the NMOSD group (p = 0.002), mostly in the subcortical/juxtacortical, the midbrain, the middle cerebellar peduncle, and the cerebellum. Double-seronegative patients had more brain involvement (80%) with larger and tumefactive lesion morphology. In addition, double-seronegative patients showed the longest optic neuritis (p = 0.006), which was more prevalent in the intracranial optic nerve compartment. AQP4-IgG-positive NMOSD optic neuritis had a predominant optic-chiasm location, and brain lesions mainly affected hypothalamic regions and the postrema area (MOGAD versus AQP4-IgG-positive NMOSD, p= 0 .013). Furthermore, this group had more spinal cord lesions (78.3%), and bright spotty lesions were a paramount finding to differentiate it from MOGAD (p = 0.003). Conclusion The pooled analysis of lesion topography, morphology, and signal intensity provides critical information to help clinicians form a timely differential diagnosis.

Resumo Antecedentes Há sobreposição clínica e radiológica entre as doenças desmielinizantes. No entanto, seus mecanismos fisiopatológicos são diferentes e apresentam prognósticos e demandas de tratamento distintos. Objetivo Investigar as características de imagens de RM dos pacientes com doença associada à glicoproteína de oligodendrócito de mielina (MOGAD), a doenças do espectro da neuromielite óptica positivas para antiaquaporina-4 imunoglobulina G (AQP4-IgG NMOSD), e pacientes duplamente soronegativos. Métodos Estudo retrospectivo e transversal para analisar as características e frequência das lesões do sistema nervoso central (SNC). Dois neurorradiologistas avaliaram consensualmente as imagens do cérebro, das órbitas e da medula espinhal. Resultados Ao todo, foram incluídos 68 pacientes(25 com AQP4-IgG NMOSD, 28 com MOGAD e 15 duplo-soronegativos). Há diferenças na apresentação clínica entre os grupos. O grupo MOGAD demonstrou menor frequência de comprometimento do cérebro (39.2%) comparado com o AQP4-IgG NMOSD (p = 0.002), com predomínio da distribuição das lesões nas regiões subcortical/justacortical, mesencéfalo, pedúnculos cerebelares médios e cerebelo. O grupo duplo-soronegativo demonstrou maior frequência de comprometimento do cérebro (80%), com lesões de maiores dimensões e com morfologia tumefeita, além de neurite óptica com maior extensão (p = 0.006). O grupo AQP4-IgG NMOSD demonstrou neurite óptica com predomínio na região óptico-quiasmática e as lesões encefálicas acometeram predominantemente as regiões hipotalâmica e área postrema (MOGAD versus AQP4-IgG NMOSD p = 0.013). Além disso, foram observadas mais lesões na medula espinhal (78.3%) e a presença da "bright spotty lesion" foi um achado primordial para a sua diferenciação com os pacientes MOGAD (p = 0.003). Conclusão A análise pormenorizada das características das lesões por RM dos pacientes com doenças desmielinizantes imunomediadas fornece informações fundamentais que auxiliam os médicos no diagnóstico diferencial em um momento oportuno.

RESUMO

Neuromyelitis optica spectrum disorder (NMOSD) is a rare and severe inflammatory disorder of the central nervous system (CNS). It is strongly associated with anti-aquaporin 4 antibodies (AQP4-IgG), and it mainly affects young women from non-white ethnicities. However, ∼ 5 to 10% of all cases have onset during childhood. Children and adolescents share the same clinical, radiologic, and laboratory presentation as adults. Thus, the same NMOSD diagnostic criteria are also applied to pediatric-onset patients, but data on NMOSD in this population is still scarce. In seronegative pediatric patients, there is a high frequency of the antibody against myelin oligodendrocyte glycoprotein (MOG-IgG) indicating another disease group, but the clinical distinction between these two diseases may be challenging. Three drugs (eculizumab, satralizumab, and inebilizumab) have been recently approved for the treatment of adult patients with AQP4-IgG-positive NMOSD. Only satralizumab has recruited adolescents in one of the two pivotal clinical trials. Additional clinical trials in pediatric NMOSD are urgently required to evaluate the safety and efficacy of these drugs in this population.

O espectro da neuromielite óptica (ENMO) é uma rara e grave doença inflamatória do sistema nervoso central (SNC), fortemente associada ao anticorpo anti-aquaporina 4 (AQP4-IgG) e que afeta preferencialmente mulheres jovens de etnias não-caucasianas. No entanto, aproximadamente de 5 a 10% de todos os casos se iniciam na infância. Crianças e adolescentes compartilham as mesmas características clínicas, radiológicas e laboratoriais dos adultos. Além disso, o mesmo critério diagnóstico de ENMO é aplicado para pacientes com início na infância. No entanto, dados da população pediátrica são escassos. Em pacientes pediátricos soronegativos, existe uma alta frequência de positividade ao anticorpo contra a glicoproteína na mielina do oligodendrócito (MOG-IgG), indicando outra patologia; porém, a distinção clínica entre as duas doenças é desafiadora. Três medicações (eculizumabe, inebilizumabe e satralizumabe) foram recentemente aprovadas para pacientes adultos com AQP4-IgG. Apenas um dos ensaios pivotais do satralizumabe recrutou adolescentes. Novos ensaios clínicos em pacientes pediátricos com ENMO são necessários para avaliar a segurança e eficácia destas drogas nesta população.

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Abstract Neuromyelitis optica spectrum disorder (NMOSD) is a rare and severe inflammatory disorder of the central nervous system (CNS). It is strongly associated with anti-aquaporin 4 antibodies (AQP4-IgG), and it mainly affects young women from non-white ethnicities. However, ~ 5 to 10% of all cases have onset during childhood. Children and adolescents share the same clinical, radiologic, and laboratory presentation as adults. Thus, the same NMOSD diagnostic criteria are also applied to pediatric-onset patients, but data on NMOSD in this population is still scarce. In seronegative pediatric patients, there is a high frequency of the antibody against myelin oligodendrocyte glycoprotein (MOG-IgG) indicating another disease group, but the clinical distinction between these two diseases may be challenging. Three drugs (eculizumab, satralizumab, and inebilizumab) have been recently approved for the treatment of adult patients with AQP4-IgG-positive NMOSD. Only satralizumab has recruited adolescents in one of the two pivotal clinical trials. Additional clinical trials in pediatric NMOSD are urgently required to evaluate the safety and efficacy of these drugs in this population.

Resumo O espectro da neuromielite óptica (ENMO) é uma rara e grave doença inflamatória do sistema nervoso central (SNC), fortemente associada ao anticorpo anti-aquaporina 4 (AQP4-IgG) e que afeta preferencialmente mulheres jovens de etnias não-caucasianas. No entanto, aproximadamente de 5 a 10% de todos os casos se iniciam na infância. Crianças e adolescentes compartilham as mesmas características clínicas, radiológicas e laboratoriais dos adultos. Além disso, o mesmo critério diagnóstico de ENMO é aplicado para pacientes com início na infância. No entanto, dados da população pediátrica são escassos. Em pacientes pediátricos soronegativos, existe uma alta frequência de positividade ao anticorpo contra a glicoproteína na mielina do oligodendrócito (MOG-IgG), indicando outra patologia; porém, a distinção clínica entre as duas doenças é desafiadora. Três medicações (eculizumabe, inebilizumabe e satralizumabe) foram recentemente aprovadas para pacientes adultos com AQP4-IgG. Apenas um dos ensaios pivotais do satralizumabe recrutou adolescentes. Novos ensaios clínicos em pacientes pediátricos com ENMO são necessários para avaliar a segurança e eficácia destas drogas nesta população.

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Purpose: Sleep is essential for life and plays a key role for optimal physiology, brain functioning, and health. Evidence suggests a relation between sleep and cerebral white matter integrity. Human studies report that sleep duration shows a U-shaped association with brain functioning. We hypothesized that participants with longer or shorter sleep time in the nighttime period show altered microstructural white matter integrity. Participants and Methods: Seventy-three young adult participants were evaluated. Sleep-wake cycle parameters were assessed objectively using actigraphy. Diffusion tensor imaging studies were performed to assess white matter integrity using fractional anisotropy and mean, axial, and radial diffusivities. Relations between white matter microstructure indexes and sleep parameters were investigated through tract-based spatial statistics. Participants were grouped according to their nocturnal total sleep time: 27 in the Reference sleep group (6.5-8.0 h), 23 in the Short sleep group (<6.5 h) and 23 in the Long sleep group (>8.0 h). Results: Compared with the Reference sleep group, participants in the Long sleep group showed lower fractional anisotropy (p < 0.05) and higher radial diffusivity (p < 0.05) values in white matter tracts linked to sleep regulation (corona radiata, body of the corpus callosum, superior longitudinal fasciculus, and anterior thalamic radiation). Conclusion: This pattern of reduced fractional anisotropy and increased radial diffusivity in the Long sleep group indicates an association between sleep duration and lower integrity of myelin sheaths. Because myelin is continuously remodeled in the brain, nighttime sleep characteristics appear to be a key player for its quality and maintenance.