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https://ahro.austin.org.au/austinjspui/handle/1/21739
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Dahan, Ariel | - |
dc.contributor.author | Pereira, R | - |
dc.contributor.author | Malpas, C B | - |
dc.contributor.author | Kalincik, T | - |
dc.contributor.author | Gaillard, F | - |
dc.date | 2019-09-12 | - |
dc.date.accessioned | 2019-09-16T04:32:23Z | - |
dc.date.available | 2019-09-16T04:32:23Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | AJNR. American journal of neuroradiology 2019; 40(10): 1624-1629 | - |
dc.identifier.uri | https://ahro.austin.org.au/austinjspui/handle/1/21739 | - |
dc.description.abstract | The 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.language.iso | eng | - |
dc.title | PACS Integration of Semiautomated Imaging Software Improves Day-to-Day MS Disease Activity Detection. | - |
dc.type | Journal Article | - |
dc.identifier.journaltitle | AJNR. American journal of neuroradiology | - |
dc.identifier.affiliation | Department of Radiology, Austin Health, Heidelberg, Victoria, Australia | - |
dc.identifier.affiliation | Departments of Radiology and Neurology, Royal Melbourne Hospital, Parkville, Victoria, Australia | en |
dc.identifier.affiliation | Clinical Outcomes Research Unit (CORe), Departments of Medicine and Radiology, University of Melbourne, Melbourne, Australia | en |
dc.identifier.affiliation | Department of Radiology, University of Queensland, Brisbane, Queensland, Australia | en |
dc.identifier.doi | 10.3174/ajnr.A6195 | - |
dc.identifier.orcid | 0000-0003-3205-425X | - |
dc.identifier.orcid | 0000-0002-7965-2065 | - |
dc.identifier.orcid | 0000-0003-0534-3718 | - |
dc.identifier.orcid | 0000-0003-3778-1376 | - |
dc.identifier.orcid | 0000-0002-2382-872X | - |
dc.identifier.pubmedid | 31515214 | - |
dc.type.austin | Journal Article | - |
local.name.researcher | Dahan, Ariel | |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
item.openairetype | Journal Article | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | Radiology | - |
Appears in Collections: | Journal articles |
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