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Ultrashort echo time imaging for quantification of hepatic iron overload: Comparison of acquisition and fitting methods via simulations, phantoms, and in vivo data.


ABSTRACT: BACKGROUND:Current R2*-MRI techniques for measuring hepatic iron content (HIC) use various acquisition types and fitting models. PURPOSE:To evaluate the accuracy and precision of R2*-HIC acquisition and fitting methods. STUDY TYPE:Signal simulations, phantom study, and prospective in vivo cohort. POPULATION:In all, 132 patients (58/74 male/female, mean age 17.7 years). FIELD STRENGTH/SEQUENCE:2D-multiecho gradient-echo (GRE) and ultrashort echo time (UTE) acquisitions at 1.5T. ASSESSMENT:Synthetic MR signals were created to mimic published GRE and UTE methods, using different R2* values (25-2000 s-1 ) and signal-to-noise ratios (SNR). Phantoms with varying iron concentrations were scanned at 1.5T. In vivo data were analyzed from 132 patients acquired at 1.5T. R2* was estimated by fitting using three signal models. Accuracy and precision of R2* measurements for UTE acquisition parameters (SNR, echo spacing [?TE], maximum echo time [TEmax ]) and fitting methods were compared for simulated, phantom, and in vivo datasets. STATISTICAL TESTS:R2* accuracy was determined from the relative error and by linear regression analysis. Precision was evaluated using coefficient of variation (CoV) analysis. RESULTS:In simulations, all models had high R2* accuracy (error <5%) and precision (CoV <10%) for all SNRs, shorter ?TE (?0.5 msec), and longer TEmax (?10.1 msec); except the constant offset model overestimated R2* at the lowest SNR. In phantoms and in vivo, all models produced similar R2* values for different SNRs and shorter ?TEs (slopes: 0.99-1.06, R2 > 0.99, P < 0.001). In all experiments, R2* results degraded for high R2* values with longer ?TE (?1 msec). In vivo, shorter and longer TEmax gave similar R2* results (slopes: 1.02-1.06, R2 > 0.99, P < 0.001) for the noise subtraction model for 25?R2*?2000 s-1 . However, both quadratic and constant offset models, using shorter TEmax (?4.7 msec) overestimated R2* and yielded high CoVs up to ?170% for low R2* (<250 s-1 ). DATA CONCLUSION:UTE with TEmax ? 10.1 msec and ?TE ? 0.5 msec yields accurate R2* estimates over the entire clinical HIC range. Monoexponential fitting with noise subtraction is the most robust signal model to changes in UTE parameters and achieves the highest R2* accuracy and precision. LEVEL OF EVIDENCE:2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019;49:1475-1488.

SUBMITTER: Tipirneni-Sajja A 

PROVIDER: S-EPMC6768432 | BioStudies | 2019-01-01

REPOSITORIES: biostudies

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