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Evaluation of Apparent Diffusion Coefficient Repeatability and Reproducibility for Preclinical MRIs Using Standardized Procedures and a Diffusion-Weighted Imaging Phantom

dc.contributor.authorMalyarenko, Dariya
dc.contributor.authorAmouzandeh, Ghoncheh
dc.contributor.authorPickup, Stephen
dc.contributor.authorZhou, Rong
dc.contributor.authorManning, Henry Charles
dc.contributor.authorGammon, Seth T
dc.contributor.authorShoghi, Kooresh I
dc.contributor.authorQuirk, James D
dc.contributor.authorSriram, Renuka
dc.contributor.authorLarson, Peder
dc.contributor.authorLewis, Michael T
dc.contributor.authorPautler, Robia G
dc.contributor.authorKinahan, Paul E
dc.contributor.authorMuzi, Mark
dc.contributor.authorChenevert, Thomas L
dc.date.accessioned2023-02-17T14:25:38Z
dc.date.available2023-02-17T14:25:38Z
dc.date.issued2023-02-07
dc.identifier.issn2379-1381
dc.identifier.issn2379-139X
dc.identifier.urihttps://hdl.handle.net/2027.42/175835
dc.description.abstract<jats:p>Relevant to co-clinical trials, the goal of this work was to assess repeatability, reproducibility, and bias of the apparent diffusion coefficient (ADC) for preclinical MRIs using standardized procedures for comparison to performance of clinical MRIs. A temperature-controlled phantom provided an absolute reference standard to measure spatial uniformity of these performance metrics. Seven institutions participated in the study, wherein diffusion-weighted imaging (DWI) data were acquired over multiple days on 10 preclinical scanners, from 3 vendors, at 6 field strengths. Centralized versus site-based analysis was compared to illustrate incremental variance due to processing workflow. At magnet isocenter, short-term (intra-exam) and long-term (multiday) repeatability were excellent at within-system coefficient of variance, wCV [±CI] = 0.73% [0.54%, 1.12%] and 1.26% [0.94%, 1.89%], respectively. The cross-system reproducibility coefficient, RDC [±CI] = 0.188 [0.129, 0.343] µm2/ms, corresponded to 17% [12%, 31%] relative to the reference standard. Absolute bias at isocenter was low (within 4%) for 8 of 10 systems, whereas two high-bias (&gt;10%) scanners were primary contributors to the relatively high RDC. Significant additional variance (&gt;2%) due to site-specific analysis was observed for 2 of 10 systems. Base-level technical bias, repeatability, reproducibility, and spatial uniformity patterns were consistent with human MRIs (scaled for bore size). Well-calibrated preclinical MRI systems are capable of highly repeatable and reproducible ADC measurements.</jats:p>
dc.languageen
dc.publisherMDPI
dc.subjectBiomedical Imaging
dc.subjectClinical Research
dc.subjectBioengineering
dc.titleEvaluation of Apparent Diffusion Coefficient Repeatability and Reproducibility for Preclinical MRIs Using Standardized Procedures and a Diffusion-Weighted Imaging Phantom
dc.typeArticle
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/175835/2/tomography-09-00030.pdf
dc.identifier.doi10.3390/tomography9010030
dc.identifier.doihttps://dx.doi.org/10.7302/6969
dc.identifier.sourceTomography
dc.description.versionPublished online
dc.date.updated2023-02-17T14:25:36Z
dc.identifier.orcid0000-0003-0403-1501
dc.identifier.orcid0000-0003-1476-4274
dc.description.filedescriptionDescription of tomography-09-00030.pdf : Published version
dc.identifier.volume9
dc.identifier.issue1
dc.identifier.startpage375
dc.identifier.endpage386
dc.identifier.name-orcidMalyarenko, Dariya; 0000-0003-0403-1501
dc.identifier.name-orcidAmouzandeh, Ghoncheh
dc.identifier.name-orcidPickup, Stephen
dc.identifier.name-orcidZhou, Rong
dc.identifier.name-orcidManning, Henry Charles
dc.identifier.name-orcidGammon, Seth T
dc.identifier.name-orcidShoghi, Kooresh I
dc.identifier.name-orcidQuirk, James D
dc.identifier.name-orcidSriram, Renuka
dc.identifier.name-orcidLarson, Peder
dc.identifier.name-orcidLewis, Michael T
dc.identifier.name-orcidPautler, Robia G
dc.identifier.name-orcidKinahan, Paul E
dc.identifier.name-orcidMuzi, Mark
dc.identifier.name-orcidChenevert, Thomas L; 0000-0003-1476-4274
dc.working.doi10.7302/6969en
dc.owningcollnameRadiology, Department of


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