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Diffusion-weighted images in children with meningoencephalitis
Steven Shinn-Forng Peng1, Wen-Yih Isaac Tseng, Hon-Man Liu
1Department of Medical Imaging, Medical College and Hospital, National Taiwan University, Taipei, Taiwan, ROC.
Clinical Imaging
|December 31, 2002
Summary
Diffusion-weighted (DW) MRI images are effective for detecting meningoencephalitis in children, outperforming other MRI sequences. This technique may help predict outcomes of childhood intracranial infections.
Area of Science:
- Pediatric Radiology
- Neuroimaging
- Infectious Diseases
Background:
- Meningoencephalitis is a serious condition in children.
- Accurate and early diagnosis is crucial for effective treatment and prognosis.
- Conventional MRI sequences may have limitations in fully characterizing these lesions.
Purpose of the Study:
- To evaluate the efficacy of apparent diffusion coefficient (ADC) maps and diffusion-weighted (DW) images in detecting meningoencephalitic lesions in pediatric patients.
- To compare the diagnostic performance of DW images and ADC maps with conventional MRI sequences (FSE T2W, fast FLAIR).
Main Methods:
- A study involving 18 children diagnosed with meningoencephalitis (bacterial or viral).
- All patients underwent brain MRI, including FSE T2W, fast FLAIR, and single-shot echo-planar DW sequences.
- ADC values were calculated, and contrast-to-noise ratios (CNRs) of lesions were analyzed and compared between different sequences and with a control group.
Main Results:
- DW images demonstrated significantly higher CNRs for meningoencephalitic lesions compared to FSE T2W and fast FLAIR images.
- ADC maps showed significantly higher CNRs in the patient group compared to the control group.
- CNR values on DW images correlated with the presence of lesion-related changes like atrophy or swelling.
Conclusions:
- Diffusion-weighted MRI is a sensitive tool for detecting meningoencephalitic lesions in children, superior to FSE T2W and fast FLAIR in terms of CNR.
- Diffusion MR techniques offer potential for predicting the outcomes of intracranial infectious diseases in children.