JOURNAL ARTICLE
ADC Value of Optic Nerve in Multiple Sclerosis.
Published In: QJM: An International Journal of Medicine, 2024, v. 117. P. ii398 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Ahmed Ghanem, Esraa Raafat Ahmed; Mohamed, Ahmed Mostafa; Luka, Amir Louis 3 of 3
Abstract
The article focuses on the diagnostic roles of various imaging modalities in neurological and vascular conditions. Magnetic resonance spectroscopy (MRS) was studied for its ability to detect metabolic changes and cerebral volume reduction in different types of dementia, particularly Alzheimer’s disease. Non-contrast enhanced magnetic resonance angiography (NCE-MRA) and duplex ultrasound (DU) were evaluated for diagnosing peripheral arterial disease in diabetic patients, showing good agreement and predictive value, especially when combined. Diffusion-weighted imaging measuring apparent diffusion coefficient (ADC) values of the optic nerve was investigated in multiple sclerosis (MS) patients, revealing increased ADC values correlating with optic nerve damage and disease duration, suggesting potential for early detection of subclinical optic neuritis. High-frequency ultrasound was assessed against MRI for acute and chronic muscle injuries, demonstrating high accuracy for chronic injuries but lower sensitivity for acute cases. Additionally, susceptibility-weighted imaging (SWI) was explored as a non-contrast alternative to gadolinium-enhanced MRI for distinguishing active from inactive MS lesions based on characteristic signal patterns.
Additional Information
- Source:QJM: An International Journal of Medicine. 2024/10, Vol. 117, pii398
- Document Type:Article
- Subject Area:Anatomy and Physiology
- Publication Date:2024
- ISSN:1460-2725
- DOI:10.1093/qjmed/hcae175.916
- Accession Number:181636533
- Copyright Statement:Copyright of QJM: An International Journal of Medicine is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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