Satyanarayana Kummari
All India Institute of Medical Sciences (AIIMS), IndiaTitle: Determination of Efficiency of 3D Fluid-Attenuated Inversion Recovery (FLAIR) in the Imaging of Multiple Sclerosis in Comparison with 2D FLAIR at 3 Tesla MRI
Abstract
Background: A fluid-attenuated inversion recovery (FLAIR) method eliminates the cerebrospinal fluid (CSF) signal, enhancing white matter lesion detection by enhancing the contrast between the lesion and CSF. Three-dimensional (3D) volume acquisition has the advantage of multiplanar reformation of contiguous slices yielding improved signal-to-noise ratios (SNRs) and contrast-to-noise ratios (CNRs). To our knowledge, there are only three studies comparing 3D- and 2D-FLAIR sequences with respect to multiple sclerosis (MS) lesions at 3 tesla.
Aims and objectives: This study aimed to determine the efficiency of 3D-FLAIR in the detection of lesions of multiple sclerosis in terms of number of lesions, spatial and contrast resolutions in comparison with 2D-FLAIR sequence.
Methodology: A total of 75 patients with MS undergoing magnetic resonance imaging (MRI) brain at the Department of Radiology, Krishna Institute of Medical Sciences (KIMS), Secunderabad, Telangana, India. This is a prospective observational comparative study. Independent-samples t-tests were performed in the present study to compare the number of lesions detected. The measured CNR and SNR values were subjected to Mann-Whitney U test.
Results: As a result of the 3D-FLAIR, a greater number of lesions were found as compared to 2D-FLAIR (p = 0.001). There was a greater CNRs for 3D-FLAIR images than for 2D-FLAIR images (p = 0.001). Lesions, CSF, white matter, and gray matter showed significantly higher SNRs with 3D-FLAIR (p = 0.001).
Conclusion: 3D-FLAIR has exhibited greater sensitivity in detecting lesions associated with MS when contrasted with the 2D-FLAIR sequence. Significantly a greater number of lesions and higher SNRs and CNRs were detected with 3D-FLAIR in contrast to 2D-FLAIR. 3D-FLAIR may be considered the sequence of choice for MS imaging.
Biography
Dr. Satyanarayana Kummari is working as an Assistant Professor in the Department of Radiodiagnosis, All India Institute of Medical Sciences (AIIMS), Nagpur, India. He has 5 years of research experience in addition to his 5 years of teaching experience. He is involved in training the under graduates and post graduate residents in the department of Radiodiagnosis. He is also regularly involved in research, methodology training and authorship of books. He has 5 articles and book chapters to his credit. He is a reviewer in reputed international and national journals and reviewed many articles.
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