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Dark Rims: Novel Sequence Enhances Diagnostic Specificity in Multiple Sclerosis
J-M Tillema1, S D Weigand2, M Dayan3
1From the Departments of Neurology (J.-M.T., M.D., O.H.K., C.F.L.) tillema.janmendelt@mayo.edu.
AJNR. American Journal of Neuroradiology
|April 28, 2018
Summary
A new MRI technique using GM-double inversion recovery improves multiple sclerosis (MS) diagnosis specificity. This method helps distinguish MS lesions from other white matter conditions, reducing misdiagnosis risks.
Area of Science:
- Neurology
- Radiology
- Medical Imaging
Background:
- The 2010 McDonald criteria for multiple sclerosis (MS) diagnosis offer high sensitivity but can lack specificity, potentially leading to misdiagnosis.
- Distinguishing MS from other white matter lesions is a diagnostic challenge.
Purpose of the Study:
- To evaluate a novel double inversion recovery magnetic resonance (MR) imaging technique for enhancing the specificity of MS diagnostic criteria.
- To assess the potential of GM-double inversion recovery MR imaging in differentiating MS from non-MS white matter lesions.
Main Methods:
- A cross-sectional observational study comparing MR imaging data from patients with MS and control subjects with white matter lesions.
- Utilized a novel GM-double inversion recovery sequence to suppress cerebrospinal fluid (CSF) and gray matter (GM) signals.
- Analyzed lesion characteristics, including the presence of a rim on GM-double inversion recovery images, in conjunction with McDonald criteria.
Main Results:
- Analysis included 107 patients with relapsing-remitting MS and 36 control subjects.
- A rim on GM-double inversion recovery MR imaging was observed in 35% of MS lesions versus 1% of control lesions.
- Combining 2010 McDonald criteria with the presence of rim lesions achieved 78% and 97% specificity for MS diagnosis with ≥1 and ≥2 rim lesions, respectively.
Conclusions:
- The novel GM-double inversion recovery MR imaging technique significantly enhances diagnostic specificity for MS.
- This technique offers a valuable addition to established MR imaging criteria for more accurate MS diagnosis.
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