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1.
Mult Scler ; : 13524585241274527, 2024 Sep 08.
Artículo en Inglés | MEDLINE | ID: mdl-39246018

RESUMEN

BACKGROUND: Diagnostic errors in multiple sclerosis (MS) impact patients and healthcare systems. OBJECTIVES: This study aimed to determine the prevalence of MS misdiagnosis and underdiagnosis, time delay in reaching a correct diagnosis and potential impact of sex. METHODS: Systematic review and meta-analysis on MS diagnostic errors. RESULTS: Out of 3910 studies, we included 62 for a qualitative synthesis and 24 for meta-analyses. Frequency of misdiagnosis (incorrect assignment of an MS diagnosis) ranged from 5% to 41%, with a pooled proportion based on six studies of 15% (95% CI: 9%-26%, n = 1621). The delay to rectify a misdiagnosis ranged from 0.3 to 15.9 years. Conversely, underdiagnosis (unrecognized diagnosis of MS) ranged from 3% to 58%, with a pooled proportion in four studies of 36% (95% CI: 20%-55%, n = 728). Pooling seven studies comprising 2851 individuals suggested a diagnostic delay to establish a correct MS diagnosis of 17.3 months (95% CI: 11.9-22.7) in patients underdiagnosed. In a meta-analysis of five studies, women were 2.1 times more likely to be misdiagnosed with MS compared to men (odds ratio, 95% CI: 1.53-2.86). CONCLUSION: This study provides summary-level evidence for the high prevalence of MS misdiagnosis and underdiagnosis. Future studies are needed to understand the causes of these diagnostic challenges in MS care.

2.
Eur Radiol ; 34(7): 4628-4637, 2024 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-38147170

RESUMEN

OBJECTIVES: Cytotoxic lesions of the corpus callosum (CLOCC) are a common magnetic resonance imaging (MRI) finding associated with various systemic diseases including COVID-19. Although an increasing number of such cases is reported in the literature, there is a lack of systematic evidence summarizing the etiology and neuroimaging findings of these lesions. Thus, the aim of this systematic review was to synthesize the applied nomenclature, neuroimaging and clinical features, and differential diagnoses as well as associated disease entities of CLOCC. MATERIALS AND METHODS: A comprehensive literature search in three biomedical databases identified 441 references, out of which 324 were eligible for a narrative summary including a total of 1353 patients. RESULTS: Our PRISMA-conform systematic review identifies a broad panel of disease entities which are associated with CLOCC, among them toxic/drug-treatment-associated, infectious (viral, bacterial), vascular, metabolic, traumatic, and neoplastic entities in both adult and pediatric individuals. On MRI, CLOCC show typical high T2 signal, low T1 signal, restricted diffusion, and lack of contrast enhancement. The majority of the lesions were reversible within the follow-up period (median follow-up 3 weeks). Interestingly, even though CLOCC were mostly associated with symptoms of the underlying disease, in exceptional cases, CLOCC were associated with callosal neurological symptoms. Of note, employed nomenclature for CLOCC was highly inconsistent. CONCLUSIONS: Our study provides high-level evidence for clinical and imaging features of CLOCC as well as associated disease entities. CLINICAL RELEVANCE STATEMENT: Our study provides high-level evidence on MRI features of CLOCC as well as a comprehensive list of disease entities potentially associated with CLOCC. Together, this will facilitate rigorous diagnostic workup of suspected CLOCC cases. KEY POINTS: • Cytotoxic lesions of the corpus callosum (CLOCC) are a frequent MRI feature associated with various systemic diseases. • Cytotoxic lesions of the corpus callosum show a highly homogenous MRI presentation and temporal dynamics. • This comprehensive overview will benefit (neuro)radiologists during diagnostic workup.


Asunto(s)
Cuerpo Calloso , Imagen por Resonancia Magnética , Humanos , Cuerpo Calloso/diagnóstico por imagen , Cuerpo Calloso/patología , Imagen por Resonancia Magnética/métodos , COVID-19/complicaciones , COVID-19/diagnóstico por imagen , Encefalopatías/diagnóstico por imagen , Neuroimagen/métodos , Diagnóstico Diferencial
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