ReviewNeuroradiology2014
Magnetic resonance imaging of anterior temporal lobe cysts in children: discriminating special imaging features in a particular group of diseases.
Review in Neuroradiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 10 citations in OpenAlex.
- Article
- Clinical and neuroimaging review of monogenic cerebral small vessel disease from the prenatal to adolescent developmental stage.Japanese journal of radiology · 2024Review
- Neuroradiologic Phenotyping of Galactosemia: From the Neonatal Form to the Chronic Stage.AJNR. American journal of neuroradiology · 2021Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionWe hypothesised that disorders with anterior temporal lobe (ATL) cysts might exhibit common peculiarities and distinguishable imaging features that could be useful for diagnosis. We reviewed a series of patients for neuroimaging contributions to specific diagnoses.
methodsA literature search was conducted, and institutional imaging files were reviewed to identify MR examinations with ATL cysts in children. Patients were divided according to head size, calcifications, white matter and cortical abnormalities. Unsupervised hierarchical clustering of patients on the basis of their MR and CT items was performed.
resultsWe identified 23 patients in our database in whom MR revealed ATL cysts. Our series included five patients with congenital muscular dystrophy (05/23=21.7 %), six with megalencephalic leukoencephalopathy with subcortical cysts (06/23=26.1 %), three with non-megalencephalic leukoencephalopathy with subcortical cysts (03/23=13.1 %), seven with congenital cytomegalovirus disease (07/23=30.4 %) and two with Aicardi-Goutières syndrome (02/23=8.7 %). After analysis, 11 clusters resulted in the highest discriminative indices. Thereafter, patients' clusters were linked to their underlying diseases. The features that best discriminated between clusters included brainstem abnormalities, cerebral calcifications and some peculiar grey and white matter abnormalities. A flow chart was drafted to guide the radiologist in these diagnoses.
conclusionsThe authors encourage the combined interpretation of these features in the herein proposed approach that confidently predicted the final diagnosis in this particular group of disorders associated with ATL cysts.
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