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1000
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Abstract/Summary
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<jats:title>Abstract</jats:title><jats:sec>
<jats:title>Introduction</jats:title>
<jats:p>Assessment of multiple sclerosis (MS) lesions on magnetic resonance imaging (MRI) is tedious, time-consuming, and error-prone. We evaluate whether assessment of new, expanding, and contrast-enhancing MS lesions can be done more time-efficiently by radiologists with assistance of artificial intelligence (AI).</jats:p>
</jats:sec><jats:sec>
<jats:title>Methods</jats:title>
<jats:p>Baseline and three follow-up (FU) MRIs of thirty-five consecutive patients diagnosed with MS were assessed by a radiologist manually, and with assistance of an AI-tool. Results were discussed with a consultant neuroradiologist and time metrics were evaluated.</jats:p>
</jats:sec><jats:sec>
<jats:title>Results</jats:title>
<jats:p>The mean reading time for the resident radiologist was 9.05 min (95CI: 6.85–11:25). With AI-assistance, the reading time was reduced by 2.83 min (95CI: 3.28–2.41, <jats:italic>p</jats:italic> < 0.001). The reading decreased steadily from baseline to FU3 for the resident radiologist (9.85 min baseline, 9.21 FU1, 8.64 FU2 and 8.44 FU3, <jats:italic>p</jats:italic> < 0.001). Assistance of AI further remarkably decreased reading times during follow-ups (3.29 min FU1, 3.92 FU2, 3.79 FU3, <jats:italic>p</jats:italic> < 0.001) but not at baseline (0.26 min, <jats:italic>p</jats:italic> = 0.96). The <jats:italic>baseline</jats:italic> reading time of the resident radiologist was 5.04 min (<jats:italic>p</jats:italic> < 0.001), with each lesion adding 0.14 min (<jats:italic>p</jats:italic> < 0.001). There was a substantial decrease in the <jats:italic>baseline</jats:italic> reading time from 5.04 min to 1.59 min (<jats:italic>p</jats:italic> = 0.23) with AI-assistance. Discussion of the reading results of the resident with the neuroradiology consultant (as usual in clinical routine) was exemplary done for FU-3 MRIs and added another 3 min (CI:2.27–3.76) to the reading time without AI-assistance.</jats:p>
</jats:sec><jats:sec>
<jats:title>Conclusion</jats:title>
<jats:p>We found that AI-assisted reading of MRIs of patients with MS may be faster than evaluating these MRIs without AI-assistance.</jats:p>
</jats:sec>
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1000
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Hinweis
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DeepGreen-ID: 886f44e9ef744f438de5553a02fd8cbd ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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