{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,5]],"date-time":"2026-02-05T12:33:56Z","timestamp":1770294836229,"version":"3.49.0"},"reference-count":19,"publisher":"S. Karger AG","issue":"6","license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.karger.com\/Services\/SiteLicenses"},{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.karger.com\/Services\/SiteLicenses"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Cerebrovasc Dis"],"published-print":{"date-parts":[[2011]]},"abstract":"<jats:p>&lt;i&gt;Background:&lt;\/i&gt; Conventional stroke registries contain alphanumeric text-based data on the clinical status of stroke patients, but this format captures imaging data in a very limited form. There is a need for a new type of stroke registry to capture both text- and image-based data. &lt;i&gt;Methods and Results:&lt;\/i&gt; We designed a next-generation stroke registry containing quantitative magnetic resonance imaging (MRI) data, \u2018DUIH_SRegI\u2019, developed a supporting software package, \u2018Image_QNA\u2019, and performed experiments to assess the feasibility and utility of the system. Image_QNA enabled the mapping of stroke-related lesions on MR onto a standard brain template and the storage of this extracted imaging data in a visual database. Interuser and intrauser variability of the lesion mapping procedure was low. We compared the results from the semi automatic lesion registration using Image_QNA with automatic lesion registration using SPM5 (Statistical Parametric Mapping version 5), a well-regarded standard neuroscience software package, in terms of lesion location, size and shape, and found Image_QNA to be superior. We assessed the clinical usefulness of an image-based registry by studying 47 consecutive patients with first-ever lacunar infarcts in the corona radiata. We used the enriched dataset comprised of both image-based and alphanumeric databases to show that diffusion MR lesions overlapped in a more posterolateral brain location for patients with high NIH Stroke Scale scores (\u22674) than for patients with low scores (\u22643). In April 2009, we launched the first prospective image-based acute (\u22641 week) stroke registry at our institution. The registered data include high signal intensity ischemic lesions on diffusion, T&lt;sub&gt;2&lt;\/sub&gt;-weighted, or fluid attenuation inversion recovery MRIs, and low signal intensity hemorrhagic lesions on gradient-echo MRIs. An interim analysis at 6 months showed that the time requirement for the lesion registration (183 consecutive patients, 3,226 MR slices with visible stroke-related lesions) was acceptable at about 1 h of labor per patient by a trained assistant with physician oversight. &lt;i&gt;Conclusions:&lt;\/i&gt; We have developed a novel image-based stroke registry, with database functions that allow the formulation and testing of intuitive, image-based hypotheses in a manner not easily achievable with conventional alphanumeric stroke registries.<\/jats:p>","DOI":"10.1159\/000331934","type":"journal-article","created":{"date-parts":[[2011,11,21]],"date-time":"2011-11-21T07:47:05Z","timestamp":1321861625000},"page":"567-576","source":"Crossref","is-referenced-by-count":19,"title":["A New Image-Based Stroke Registry Containing Quantitative Magnetic Resonance Imaging Data"],"prefix":"10.1159","volume":"32","author":[{"given":"Dong-Eog","family":"Kim","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyoung-Jong","family":"Park","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dawid","family":"Schellingerhout","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sang-Wuk","family":"Jeong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Myung-Goo","family":"Ji","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Won 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