Results 1 to 10 of about 8,310 (187)

Clinical and radiological characteristics of parenchymal and meningeal spinal tuberculosis [PDF]

open access: yesBMC Infectious Diseases
Background Spinal tuberculosis is a rare condition that can result in significant neurological impairments. It is typically classified into two main types based on the anatomical involvement: parenchymal and meningeal.
Qiu-Lan Shan   +7 more
doaj   +2 more sources

Neuro-meningeal tuberculosis: A pediatric case report and review of the literature [PDF]

open access: yesRadiology Case Reports
Pediatric neuro-meningeal tuberculosis leads to high rates of mortality and morbidity. Prompt diagnosis and initiation of treatment are challenging; imaging findings play a key role in establishing the presumptive diagnosis.
Chaimae Lahlou, MD   +6 more
doaj   +2 more sources

Extrapulmonary tuberculosis in Morocco: A systematic review of observational studies [PDF]

open access: yesRevista da Sociedade Brasileira de Medicina Tropical
Background: Tuberculosis remains a major global health concern and a leading cause of mortality. In Morocco, various forms of extrapulmonary tuberculosis are prevalent.
Mohamed Dellal   +5 more
doaj   +2 more sources

Primary Diffuse Leptomeningeal Melanomatosis Leading to Raised Intracranial Pressure in a Pediatric Patient. [PDF]

open access: yesClin Case Rep
ABSTRACT A critical clinical consideration, in addition to other common risk factors predisposing individuals to idiopathic intracranial hypertension (IIH), involves the potential co‐occurrence of increased intracranial pressure and elevated cerebrospinal fluid protein levels in the presence of underlying malignancies.
Sareh S   +8 more
europepmc   +2 more sources

Analysis of risk factors for acute cerebral infarction in patients with intracranial tuberculosis [PDF]

open access: yesFrontiers in Neurology
ObjectiveAcute cerebral infarction is a common complication of intracranial tuberculosis (TB), causing irreversible damage to brain tissue and significantly affecting patient prognosis.
Xiao-Shan Huang   +4 more
doaj   +2 more sources

Tubercular cerebellitis, identified through an expansive process: A case report [PDF]

open access: yesRadiology Case Reports
Central nervous system (CNS) tuberculosis is a postprimary form of tuberculosis with high mortality and morbidity rates, even with early diagnosis and treatment. Focal tuberculous cerebritis is extremely rare, typically occurring in patients without AIDS,
Kaoutar Maasaoui, MD   +8 more
doaj   +2 more sources

Clinicoepidemiological Profile and Prognostic Factors in Neurotuberculosis in Children [PDF]

open access: yesAnnals of Child Neurology, 2023
Purpose This study aimed to determine the clinicoepidemiological profile and prognostic factors in children with neurotuberculosis. Methods An observational study was conducted at a tertiary care hospital on 50 children diagnosed with neurotuberculosis ...
Vikas Sharma   +3 more
doaj   +1 more source

Miliary Tuberculosis with Meningitis [PDF]

open access: yesPractical Neurology, 2002
A 25-year-old woman presented to the Centre for Tropical Diseases, Ho Chi Minh City, Vietnam, with a 1 month history of headache, fever, and vomiting. On examination her Glasgow coma score was 14/15. Her neck was stiff, and she had a right lateral rectus palsy (Fig. 1).
Thwaites, G, Farrar, J
openaire   +3 more sources

Diagnostic and therapeutic approach to chronic meningitis in Brazil: a narrative review

open access: yesArquivos de Neuro-Psiquiatria, 2022
Background Chronic meningitis (CM) is characterized by neurological symptoms associated with the evidence of cerebrospinal fluid pleocytosis lasting > 4 weeks. Studies on the management of CM in Brazil are scarce.
Guilherme Diogo Silva   +4 more
doaj   +1 more source

TBDLNet: a network for classifying multidrug-resistant and drug-sensitive tuberculosis [PDF]

open access: yesEngineering Reports (2023), 2023
This paper proposes applying a novel deep-learning model, TBDLNet, to recognize CT images to classify multidrug-resistant and drug-sensitive tuberculosis automatically. The pre-trained ResNet50 is selected to extract features. Three randomized neural networks are used to alleviate the overfitting problem.
arxiv   +1 more source

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