{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,13]],"date-time":"2026-09-13T03:29:15Z","timestamp":1789270155512,"version":"build-2803163510"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,2,27]],"date-time":"2024-02-27T00:00:00Z","timestamp":1708992000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2024,2,27]],"date-time":"2024-02-27T00:00:00Z","timestamp":1708992000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100004332","name":"Seoul National University Hospital","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100004332","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Abdom Radiol"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Purpose<\/jats:title>\n                <jats:p>To evaluate diagnostic performance and image quality of ultralow-dose CT (ULDCT) in diagnosing acute appendicitis with an image-based deep-learning denoising algorithm (IDLDA).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>This retrospective multicenter study included 180 patients (mean\u2009\u00b1\u2009standard deviation, 29\u2009\u00b1\u20099 years; 91 female) who underwent contrast-enhanced 2-mSv CT for suspected appendicitis from February 2014 to August 2016. We simulated ULDCT from 2-mSv CT, reducing the dose by at least 50%. Then we applied an IDLDA on ULDCT to produce denoised ULDCT (D-ULDCT). Six radiologists with different experience levels (three board-certified radiologists and three residents) independently reviewed the ULDCT and D-ULDCT. They rated the likelihood of appendicitis and subjective image qualities (subjective image noise, diagnostic acceptability, and artificial sensation). One radiologist measured image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR). We used the receiver operating characteristic (ROC) analyses, Wilcoxon\u2019s signed-rank tests, and paired t-tests.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>The area under the ROC curves (AUC) for diagnosing appendicitis ranged 0.90\u20130.97 for ULDCT and 0.94\u20130.97 for D-ULDCT. The AUCs of two residents were significantly higher on D-ULDCT (AUC difference\u2009=\u20090.06 [95% confidence interval, 0.01\u20130.11; <jats:italic>p<\/jats:italic>\u2009=\u2009.022] and 0.05 [0.00\u20130.10; <jats:italic>p<\/jats:italic>\u2009=\u2009.046], respectively). D-ULDCT provided better subjective image noise and diagnostic acceptability to all six readers. However, the response of board-certified radiologists and residents differed in artificial sensation (all <jats:italic>p<\/jats:italic>\u2009\u2264\u2009.003). D-ULDCT showed significantly lower image noise, higher SNR, and higher CNR (all <jats:italic>p<\/jats:italic>\u2009&lt;\u2009.001).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>An IDLDA can provide better ULDCT image quality and enhance diagnostic performance for less-experienced radiologists.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s00261-024-04246-3","type":"journal-article","created":{"date-parts":[[2024,2,27]],"date-time":"2024-02-27T10:02:13Z","timestamp":1709028133000},"page":"1839-1849","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Diagnostic performance and image quality of an image-based denoising algorithm applied to radiation dose-reduced CT in diagnosing acute appendicitis"],"prefix":"10.1007","volume":"49","author":[{"given":"Hyeon Ui","family":"Choi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3412-0863","authenticated-orcid":false,"given":"Jungheum","family":"Cho","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jinhee","family":"Hwang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seungjae","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Won","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ji Hoon","family":"Park","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kyoung Ho","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,2,27]]},"reference":[{"key":"4246_CR1","doi-asserted-by":"publisher","first-page":"e239006","DOI":"10.1148\/radiol.239006","volume":"307","author":"M Mahesh","year":"2023","unstructured":"Mahesh M, Ansari AJ, Mettler FA Jr. (2023) Patient exposure from radiologic and nuclear medicine procedures in the United States and worldwide: 2009\u20132018. 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Kyoung Ho Lee received a research grant from the National Research Foundation of Korea. The funders had no role in study design, data analysis, or preparation of the manuscript. Other authors declare there is no conflict of interest.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}