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Left-Right Intensity Asymmetries Vary Depending on Scanner Model for FLAIR and T1 Weighted MRI Images

J Magn Reson Imaging. 2022 Feb 8. doi: 10.1002/jmri.28105. Online ahead of print.

ABSTRACT

BACKGROUND: Localized regions of left-right image intensity asymmetry (LRIA) were incidentally observed on T2 -weighted (T2 -w) and T1 -weighted (T1 -w) diagnostic magnetic resonance imaging (MRI) images. Suspicion of herpes encephalitis resulted in unnecessary follow-up imaging. A nonbiological imaging artifact that can lead to diagnostic uncertainty was identified.

PURPOSE: To investigate whether systematic LRIA exist for a range of scanner models and to determine if LRIA can introduce diagnostic uncertainty.

STUDY TYPE: A retrospective study using the Alzheimer’s Disease Neuroimaging Initiative (ADNI) data base.

SUBJECTS: One thousand seven hundred fifty-three (median age: 72, males/females: 878/875) unique participants with longitudinal data were included.

FIELD STRENGTH: 3T.

SEQUENCES: T1 -w three-dimensional inversion-recovery spoiled gradient-echo (IR-SPGR) or magnetization-prepared rapid gradient-echo (MP-RAGE) and T2 -w fluid-attenuated inversion recovery (FLAIR) long tau fast spin echo inversion recovery (LT-FSE-IR). Only General Electric, Philips, and Siemens’ product sequences were used.

ASSESSMENT: LRIA was calculated as the left-right percent difference with respect to the mean intensity from automated anatomical atlas segmented regions. Three neuroradiologists with 37 (**), 32 (**), and 3 (**) years of experience rated the clinical impact of 30 T2 -w three-dimensional FLAIR exams with LRIA to determine the diagnostic uncertainty. Statistical comparisons between retrospective intensity normalized T1 m and original T1 -w images were made.

STATISTICAL TESTS: For each image type, a linear mixed effects model was fit using LRIA scores from all scanners, regions, and participants as the outcome and age and sex as predictors. Statistical significance was defined as having a P-value <0.05.

RESULTS: LRIA scores were significantly different from zero on most scanners. All clinicians were uncertain or recommended definite diagnostic follow-up in 62.5% of cases with LRIA >10%. Individuals with acute brain pathology or focal neurologic deficits are not enrolled in ADNI; therefore, focal signal abnormalities were considered false positives.

DATA CONCLUSION: LRIA is system specific, systematic, creates diagnostic uncertainty, and impacts IR-SPGR, MP-RAGE, and LT-FSE-IR product sequences.

LEVEL OF EVIDENCE: 2 Technical Efficacy Stage: 3.

PMID:35133061 | DOI:10.1002/jmri.28105

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