Value of diffusion-weighted imaging in hypoglycemic encephalopathy

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Value of diffusion-weighted imaging in hypoglycemic encephalopathy

H is the most common metabolic disorder that may cause neonatal encephalopathy and result in permanent brain injury.1 Prompt diagnosis is important as urgent treatment may change the progression of the disease and the future prognosis. Conventional MRI is useful to demonstrate the signal changes that are prominent on the occipital lobes; however, MRI may not show the pathology in the very early...

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Diffusion MR imaging of hypoglycemic encephalopathy.

BACKGROUND AND PURPOSE MR imaging features of HE have not been fully established. The purpose of this study was to determine the topographic distribution and DWI findings of HE. MATERIALS AND METHODS We retrospectively evaluated HE MR imaging (n = 11). The topographic distribution of the lesions was evaluated on routine MR imaging, and DWI SI and ADC values were assessed. The ADC value of inv...

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Serum calcium concentration affects signal changes on diffusion-weighted imaging in hypoglycemic encephalopathy.

BACKGROUND AND PURPOSE Abnormal signals in brain DWI may appear in patients with HE. The aim of this study was to compare the clinical condition and various physiologic factors between patients with HE with and without abnormal signal intensity changes on DWI. MATERIALS AND METHODS We retrospectively enrolled patients with HE who underwent brain DWI studies from January 2002 to November 2010....

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Analysis of Multiple B-Value Diffusion-Weighted Imaging in Pediatric Acute Encephalopathy

Acute encephalopathy is a disease group more commonly seen in children. It is often severe and has neurological sequelae. Imaging is important for early diagnosis and prompt treatment to ameliorate an unfavorable outcome, but insufficient sensitivity/specificity is a problem. To overcome this, a new value (fraction of high b-pair (FH)) that could be processed from clinically acceptable MR diffu...

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ژورنال

عنوان ژورنال: Neurosciences

سال: 2015

ISSN: 1658-3183

DOI: 10.17712/nsj.2015.3.20140696