PACS Integration of Semiautomated Imaging Software Improves Day-to-Day MS Disease Activity Detection

被引:7
作者
Dahan, A. [1 ]
Pereira, R. [2 ,4 ]
Malpas, C. B. [3 ,5 ]
Kalincik, T. [3 ,5 ]
Gaillard, F. [2 ,6 ,7 ]
机构
[1] Austin Hosp, Dept Radiol, Lance Townsend Bldg,145 Studley Rd, Heidelberg, Vic 3084, Australia
[2] Royal Melbourne Hosp, Dept Radiol, Parkville, Vic, Australia
[3] Royal Melbourne Hosp, Dept Neurol, Parkville, Vic, Australia
[4] Univ Queensland, Dept Radiol, Brisbane, Qld, Australia
[5] Univ Melbourne, Clin Outcomes Res Unit CORe, Melbourne, Vic, Australia
[6] Univ Melbourne, Dept Med, Melbourne, Vic, Australia
[7] Univ Melbourne, Dept Radiol, Melbourne, Vic, Australia
基金
澳大利亚研究理事会; 英国医学研究理事会;
关键词
MULTIPLE-SCLEROSIS; LESION LOAD; FOLLOW-UP; DISABILITY; MRI; SEGMENTATION; IMAGES;
D O I
10.3174/ajnr.A6195
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
BACKGROUND AND PURPOSE: 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. MATERIALS AND METHODS: 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. RESULTS: 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. CONCLUSIONS: VisTarsier can be implemented in real-world clinical settings with good acceptance and preservation of accuracy demonstrated in a retrospective environment.
引用
收藏
页码:1624 / 1629
页数:6
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