{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T12:20:25Z","timestamp":1768825225949,"version":"3.49.0"},"reference-count":63,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T00:00:00Z","timestamp":1698796800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Tomography"],"abstract":"<jats:p>The number of scholarly articles continues to rise. The continuous increase in scientific output poses a challenge for researchers, who must devote considerable time to collecting and analyzing these results. The topic modeling approach emerges as a novel response to this need. Considering the swift advancements in computed tomography perfusion (CTP), we deem it essential to launch an initiative focused on topic modeling. We conducted a comprehensive search of the Scopus database from 1 January 2000 to 16 August 2023, to identify relevant articles about CTP. Using the BERTopic model, we derived a group of topics along with their respective representative articles. For the 2020s, linear regression models were used to identify and interpret trending topics. From the most to the least prevalent, the topics that were identified include \u201cTumor Vascularity\u201d, \u201cStroke Assessment\u201d, \u201cMyocardial Perfusion\u201d, \u201cIntracerebral Hemorrhage\u201d, \u201cImaging Optimization\u201d, \u201cReperfusion Therapy\u201d, \u201cPostprocessing\u201d, \u201cCarotid Artery Disease\u201d, \u201cSeizures\u201d, \u201cHemorrhagic Transformation\u201d, \u201cArtificial Intelligence\u201d, and \u201cMoyamoya Disease\u201d. The model provided insights into the trends of the current decade, highlighting \u201cPostprocessing\u201d and \u201cArtificial Intelligence\u201d as the most trending topics.<\/jats:p>","DOI":"10.3390\/tomography9060158","type":"journal-article","created":{"date-parts":[[2023,11,1]],"date-time":"2023-11-01T11:51:43Z","timestamp":1698839503000},"page":"2016-2028","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Assessment of Computed Tomography Perfusion Research Landscape: A Topic Modeling Study"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8769-3342","authenticated-orcid":false,"given":"Burak B.","family":"Ozkara","sequence":"first","affiliation":[{"name":"Department of Neuroradiology, MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX 77030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9263-9893","authenticated-orcid":false,"given":"Mert","family":"Karabacak","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Mount Sinai Health System, 1468 Madison Avenue, New York, NY 10029, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3715-8093","authenticated-orcid":false,"given":"Konstantinos","family":"Margetis","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery, Mount Sinai Health System, 1468 Madison Avenue, New York, NY 10029, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2450-4014","authenticated-orcid":false,"given":"Vivek S.","family":"Yedavalli","sequence":"additional","affiliation":[{"name":"Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, 600 N Wolfe Street, Baltimore, MD 21287, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Max","family":"Wintermark","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology, MD Anderson Cancer Center, 1400 Pressler Street, Houston, TX 77030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9930-5549","authenticated-orcid":false,"given":"Sotirios","family":"Bisdas","sequence":"additional","affiliation":[{"name":"Department of Neuroradiology, The National Hospital for Neurology and Neurosurgery, University College London NHS Foundation Trust, London WC1N 3BG, UK"},{"name":"Department of Brain Repair and Rehabilitation, Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"656","DOI":"10.1016\/j.joi.2018.06.005","article-title":"The Memory of Science: Inflation, Myopia, and the Knowledge Network","volume":"12","author":"Pan","year":"2018","journal-title":"J. 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