Refaat E Gabr1, John A Lincoln2, Arash Kamali1, Xiaojun Sun1, Khader M Hasan1, and Ponnada A Narayana1
1Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, TX, United States, 2Neurology, University of Texas Health Science Center at Houston, Houston, TX, United States
Synopsis
Infratentorial lesions play
an important role in the diagnosis of multiple sclerosis (MS), but are challenging
to detect on conventional FLAIR protocols. Synthetic FLAIR3 images were
generated by combining FLAIR and T2-weighted images to improve lesion contrast while
maintaining CSF suppression. We evaluated FLAIR3 for detecting infratentorial
lesions in 10 patients with MS. Our results show 11-fold increase in the lesion
contrast-to-noise ratio and 163% increase in the number of detected lesions
using FLAIR3 as compared to FLAIR.
Introduction
Multiple
sclerosis (MS) is the most common non-traumatic demyelinating disease in young
adults, affecting about 2.5 million persons worldwide.1 Diagnosis of MS requires
demonstration of the dissemination of lesions in time and space.2 The dissemination in space criterion is
established by detection of one or more T2-hyperintense lesions characteristic
of MS in two or more of four areas of the CNS: periventricular, juxtacortical,
and infratentorial brain regions, and spinal cord.2 Fluid-attenuated inversion recovery
(FLAIR) is the most common imaging sequence used for identifying brain T2-hyperintense
lesions. However, the contrast of infratentorial lesions is suboptimal on FLAIR
images due to the partial T1 weighting and the different relaxation properties
between supratentorial and infratentorial regions.
Advanced
methods to improve detection of infratentorial lesions include optimizing 3D
FLAIR scan parameters3, and combining T2 and proton density
weighted images.4 A previous study has shown substantial
improvement in lesion contrast by combing 3D FLAIR and 3D T2-weighted images5, but performance for infratentorial lesions
was not specifically addressed. In this work, we investigated whether the detection
of infratentorial lesions can be improved with FLAIR3.Methods
This is a prospective study that included 10 patients
with MS. The MRI protocol included 3D sagittal turbo spin echo (TSE) FLAIR (FOV
= 256×256×180 mm3; voxel size = 1×1×1 mm3;
TR/TI/TE=4800/1650/300 ms; 125-ms T2-preparation; scan time 5:31 min) and 3D
TSE T2w (TR/TE = 2500/252 ms; scan time
4:33 min) with matching coverage and resolution. After acquisition, the FLAIR
and T2w images were co-registered using a rigid-body transformation and combined
to produce the FLAIR3 image as follows5: FLAIR3 = FLAIR1.55
× T2w1.45. To improve the dynamic range of the reconstructed FLAIR3
image, intensity uniformity correction was used.6
Two neuroimaging experts in neuroradiology and MS neurology
examined the images, in a random order, and identified all infratentorial and
upper cervical lesions seen on FLAIR and FLAIR3. Regions of interest were
placed in the identified lesions and in adjacent normal-appearing white matter,
and the contrast-to-noise ratio (CNR) was calculated.Results
Figure 1 shows slices from FLAIR, T2w, and reconstructed FLAIR3
images from two MS patients, demonstrating the improved lesion contrast in the
infratentorial region on FLAIR3. The first/second expert identified 18/20 lesions
on FLAIR, and 43/57 lesions on FLAIR3. Higher lesion CNR for the infratentorial
lesions was observed on FLAIR3 compared to FLAIR (rater 1: 73±114 vs. 5.4±2.4,
P<0.001, Rater 2: 88±125 vs. 7.7±3.8, P<0.0001). Both neuroimaging
experts qualitatively found an improvement in the infratentorial lesion
visualization on FLAIR3. Discussion
Sensitive
detection of infratentorial lesions can increase the diagnostic confidence in MS.
Synthetic images combining two or more conventional images provide images with
higher lesion conspicuity compared to the source images.4,5,7,8 In this study, FLAIR3 detected a significantly
larger number of infratentorial lesions compared to FLAIR, and lesions on
FLAIR3 had significantly higher CNR. These promising results suggest that
FLAIR3 may be a good option for assessing brain lesions, including
infratentorial lesions, in MS.
Similar
to other image-combining methods, FLAIR3 could be susceptible to image
registration errors or artifacts. To minimize these errors, it is recommended that
the FLAIR and T2w sequences be executed in succession with minimal delay.
Interleaving the sequences may eliminate the need for co-registration9, greatly simplifying FLAIR3
reconstruction. Further qualitative and quantitative assessment in a larger
cohort will be conducted to assess the performance of FLAIR3. Conclusion
FLAIR3
significantly improves the visualization and detection of infratentorial MS
lesions. Acknowledgements
We thank Vipulkumar Patel for help with the MRI experiments.References
1. Tullman MJ. Overview of the epidemiology,
diagnosis, and disease progression associated with multiple sclerosis. Am J
Manag Care. 2013;19:S15-20.
2. Thompson AJ,
Banwell BL, Barkhof F, Carroll WM, Coetzee T, Comi G, Correale J, Fazekas F,
Filippi M, Freedman MS, others. Diagnosis of multiple sclerosis: 2017 revisions
of the McDonald criteria. Lancet Neurol. 2018;17:162–173.
3. Lecler A, El
Sanharawi I, El Methni J, Gout O, Koskas P, Savatovsky J. Improving Detection
of Multiple Sclerosis Lesions in the Posterior Fossa Using an Optimized
3D-FLAIR Sequence at 3T. Am J Neuroradiol. 2019;
4. Gaitán MI, Yañes
P, Sati P, Romero C, Reich DS, Correale J. Optimal detection of infratentorial
lesions with a combined dual-echo MRI sequence: “pT2.” Mult Scler. 2016;
5. Gabr RE, Hasan
KM, Haque ME, Nelson FM, Wolinsky JS, Narayana PA. Optimal combination of FLAIR
and T2-weighted MRI for improved lesion contrast in multiple sclerosis. J
Magn Reson Imaging. 2016;44:1293–1300.
6. Li C, Gore JC,
Davatzikos C. Multiplicative intrinsic component optimization (MICO) for MRI
bias field estimation and tissue segmentation. Magn Reson Imaging.
2014;32:913–23.
7. Fujiwara Y,
Inoue Y, Kanamoto M, Ishida S, Adachi T, Kimura H. The use of combined
T2-weighted and FLAIR synthetic magnetic resonance images to improve white
matter region contrast: a feasibility study. Radiol Phys Technol.
2019;12:118–125.
8. Wiggermann V,
Hernandez-Torres E, Traboulsee A, Li DKB, Rauscher A. FLAIR2: A Combination of
FLAIR and T2 for Improved MS Lesion Detection. Am J Neuroradiol
[Internet]. 2015;1–7. Available from:
http://www.ajnr.org/cgi/doi/10.3174/ajnr.A4514
9. Gabr RE,
Pednekar AS, Kamali A, Lincoln JA, Nelson FM, Wolinsky JS, Narayana PA.
Interleaved susceptibility-weighted and FLAIR MRI for imaging
lesion-penetrating veins in multiple sclerosis. Magn Reson Med.
2018;80:1132–1137.