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dc.contributor.authorDahan, Ariel-
dc.contributor.authorPereira, R-
dc.contributor.authorMalpas, C B-
dc.contributor.authorKalincik, T-
dc.contributor.authorGaillard, F-
dc.identifier.citationAJNR. American journal of neuroradiology 2019; 40(10): 1624-1629-
dc.description.abstractThe standard for evaluating interval radiologic activity in MS, side-by-side MR imaging comparison, is restricted by its time-consuming nature and limited sensitivity. VisTarsier, a semiautomated software for comparing volumetric FLAIR sequences, has shown better disease-activity detection than conventional comparison in retrospective studies. Our objective was to determine whether implementing this software in day-to-day practice would show similar efficacy. VisTarsier created an additional coregistered image series for reporting a color-coded disease-activity change map for every new MS MR imaging brain study that contained volumetric FLAIR sequences. All other MS studies, including those generated during software-maintenance periods, were interpreted with side-by-side comparison only. The number of new lesions reported with software assistance was compared with those observed with traditional assessment in a generalized linear mixed model. Questionnaires were sent to participating radiologists to evaluate the perceived day-to-day impact of the software. Nine hundred six study pairs from 538 patients during 2 years were included. The semiautomated software was used in 841 study pairs, while the remaining 65 used conventional comparison only. Twenty percent of software-aided studies reported having new lesions versus 9% with standard comparison only. The use of this software was associated with an odds ratio of 4.15 for detection of new or enlarging lesions (P = .040), and 86.9% of respondents from the survey found that the software saved at least 2-5 minutes per scan report. VisTarsier can be implemented in real-world clinical settings with good acceptance and preservation of accuracy demonstrated in a retrospective environment.-
dc.titlePACS Integration of Semiautomated Imaging Software Improves Day-to-Day MS Disease Activity Detection.-
dc.typeJournal Article-
dc.identifier.journaltitleAJNR. American journal of neuroradiology-
dc.identifier.affiliationDepartment of Radiology, Austin Health, Heidelberg, Victoria, Australia-
dc.identifier.affiliationDepartments of Radiology and Neurology, Royal Melbourne Hospital, Parkville, Victoria, Australiaen
dc.identifier.affiliationClinical Outcomes Research Unit (CORe), Departments of Medicine and Radiology, University of Melbourne, Melbourne, Australiaen
dc.identifier.affiliationDepartment of Radiology, University of Queensland, Brisbane, Queensland, Australiaen
dc.type.austinJournal Article-
item.openairetypeJournal Article-
item.fulltextNo Fulltext-
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