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Modeling Patient-Informed Liver Contrast Perfusion in Contrast-enhanced Computed Tomography.

dc.contributor.author Setiawan, Hananiel
dc.contributor.author Ria, Francesco
dc.contributor.author Abadi, Ehsan
dc.contributor.author Fu, Wanyi
dc.contributor.author Smith, Taylor B
dc.contributor.author Samei, Ehsan
dc.date.accessioned 2020-11-20T16:58:24Z
dc.date.available 2020-11-20T16:58:24Z
dc.date.issued 2020-11
dc.identifier 00004728-202011000-00012
dc.identifier.issn 0363-8715
dc.identifier.issn 1532-3145
dc.identifier.uri https://hdl.handle.net/10161/21707
dc.description.abstract OBJECTIVE: To determine the correlation between patient attributes and contrast enhancement in liver parenchyma and demonstrate the potential for patient-informed prediction and optimization of contrast enhancement in liver imaging. METHODS: The study included 418 chest/abdomen/pelvis computed tomography scans, with 75% to 25% training-testing split. Two regression models were built to predict liver parenchyma contrast enhancement over time: first model (model A) utilized patient attributes (height, weight, sex, age, bolus volume, injection rate, scan times, body mass index, lean body mass) and bolus-tracking data. A second model (model B) only used the patient attributes. Pearson coefficient was used to assess predictive accuracy. RESULTS: Weight- and height-related features were found to be statistically significant predictors (P < 0.05), weight being the strongest. Of the 2 models, model A (r = 0.75) showed greater accuracy than model B (r = 0.42). CONCLUSIONS: Patient attributes can be used to build prediction model for liver parenchyma contrast enhancement. The model can have utility in optimization and improved consistency in contrast-enhanced liver imaging.
dc.language eng
dc.publisher Ovid Technologies (Wolters Kluwer Health)
dc.relation.ispartof J Comput Assist Tomogr
dc.relation.isversionof 10.1097/RCT.0000000000001095
dc.title Modeling Patient-Informed Liver Contrast Perfusion in Contrast-enhanced Computed Tomography.
dc.type Journal article
duke.contributor.id Setiawan, Hananiel|0753422
duke.contributor.id Ria, Francesco|0691782
duke.contributor.id Abadi, Ehsan|0682983
duke.contributor.id Samei, Ehsan|0261465
dc.date.updated 2020-11-20T16:58:23Z
pubs.begin-page 882
pubs.end-page 886
pubs.issue 6
pubs.organisational-group Staff
pubs.organisational-group Duke
pubs.publication-status Published
pubs.volume 44
duke.contributor.orcid Ria, Francesco|0000-0001-5902-7396
duke.contributor.orcid Abadi, Ehsan|0000-0002-9123-5854
duke.contributor.orcid Samei, Ehsan|0000-0001-7451-3309


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