Abstract
Purpose
To compare quantitative biliary measurements obtained with three different magnetic resonance cholangiopancreatography (MRCP) acquisition methods.
Methods
This retrospective study was IRB-approved. Patients with combinations of clinically indicated 3D FSE MRCP with sensitivity encoding (SENSE), 3D FSE SENSE MRCP with compressed sensing (CS-FSE; acceleration factor 8), and 3D gradient and spin-echo (GRASE) MRCP, acquired between October 2018 and March 2020, were included. The MRCP + Tuning Threshold algorithm (Perspectum Ltd., Oxford, UK) was used to segment 3D biliary models from MRCP data, with multiple metrics quantified from the models. Single measure, two-way, mixed-effects intra-class correlations, Bland–Altman analyses, and Wilcoxon signed-rank tests were used to compare quantitative measurements.
Results
From 160 MRCP datasets (25 3D FSE, 67 3D CS-FSE, 68 3D GRASE) in 69 patients, 48 datasets (7 [28%] 3D FSE, 14 [21%] 3D CS-FSE, 27 [40%] 3D GRASE) failed post-processing due to motion artifacts. The remaining 112 MRCP datasets (18 3D FSE, 53 3D CS-FSE, 41 3D GRASE) from 60 patients were included in the analysis. There was good to excellent agreement between 3D FSE and 3D CS-FSE MRCP for diameter of the left and right hepatic ducts, biliary volume, number and length of ducts, and total length of dilations (ICC: 0.83–0.93). The only metrics that exhibited good agreement between 3D FSE and 3D GRASE MRCP were biliary volume (ICC: 0.75) and total number of dilations (ICC: 0.77).
Conclusion
3D CS-FSE MRCP produces comparable biliary diameter metrics and global duct quantification to 3D FSE MRCP at a significantly reduced acquisition time.
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Funding
Perspectum Ltd. provided in-kind research support for this project to Drs. Jonathan R. Dillman and Andrew T. Trout.
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Drs. Jonathan R. Dillman and Andrew T. Trout have received grant support from Perspectum Ltd, Siemens Medical Solutions, and Canon Medical Systems. Dr. Dillman has also received in-kind research support from Resoundant, Inc. and Philips Heathcare. No other authors have conflicts of interest to report.
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Mahalingam, N., Ralli, G.P., Trout, A.T. et al. Comparison of quantitative 3D magnetic resonance cholangiography measurements obtained using three different image acquisition methods. Abdom Radiol 47, 196–208 (2022). https://doi.org/10.1007/s00261-021-03330-2
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DOI: https://doi.org/10.1007/s00261-021-03330-2