{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,2]],"date-time":"2026-07-02T09:12:19Z","timestamp":1782983539668,"version":"3.54.5"},"reference-count":12,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T00:00:00Z","timestamp":1663545600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T00:00:00Z","timestamp":1663545600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Jpn J Radiol"],"published-print":{"date-parts":[[2023,2]]},"abstract":"Abstract<\/jats:title>\n Purpose<\/jats:title>\n To evaluate the accuracy and time-efficiency of newly developed software in automatically creating curved planar reconstruction (CPR) images along the main pancreatic duct (MPD), which was developed based on a 3-dimensional convolutional neural network, and compare them with those of conventional manually generated CPR ones.<\/jats:p>\n <\/jats:sec>\n Materials and methods<\/jats:title>\n A total of 100 consecutive patients with MPD dilatation (\u2265\u20093\u00a0mm) who underwent contrast-enhanced computed tomography between February 2021 and July 2021 were included in the study. Two radiologists independently performed blinded qualitative analysis of automated and manually created CPR images. They rated overall image quality based on a four-point scale and weighted \u03ba analysis was employed to compare between manually created and automated CPR images. A quantitative analysis of the time required to create CPR images and the total length of the MPD measured from CPR images was performed.<\/jats:p>\n <\/jats:sec>\n Results<\/jats:title>\n The \u03ba<\/jats:italic> value was 0.796, and a good correlation was found between the manually created and automated CPR images. The average time to create automated and manually created CPR images was 61.7\u00a0s and 174.6\u00a0s, respectively (P<\/jats:italic>\u2009<\u20090.001). The total MPD length of the automated and manually created CPR images was 110.5 and 115.6\u00a0mm, respectively (P<\/jats:italic>\u2009=\u20090.059).<\/jats:p>\n <\/jats:sec>\n Conclusion<\/jats:title>\n The automated CPR software significantly reduced reconstruction time without compromising image quality.<\/jats:p>\n <\/jats:sec>","DOI":"10.1007\/s11604-022-01339-1","type":"journal-article","created":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T07:13:41Z","timestamp":1663571621000},"page":"228-234","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Validation of a convolutional neural network for the automated creation of curved planar reconstruction images along the main pancreatic duct"],"prefix":"10.1007","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0566-4856","authenticated-orcid":false,"given":"Yuji","family":"Koretsune","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miyuki","family":"Sone","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shunsuke","family":"Sugawara","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yusuke","family":"Wakatsuki","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Toshihiro","family":"Ishihara","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chihiro","family":"Hattori","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yasuko","family":"Fujisawa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masahiko","family":"Kusumoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,9,19]]},"reference":[{"key":"1339_CR1","doi-asserted-by":"publisher","first-page":"1039","DOI":"10.1056\/NEJMra1404198","volume":"371","author":"DP Ryan","year":"2014","unstructured":"Ryan DP, Hong TS, Bardeesy N. 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Miyuki Sone: Activities related to the present article: Institution received a research grant from Canon Medical Systems. Activities not related to the present article: Institution received a research grant from Dream Medical Partners. The author is paid consulting fee by Astellas Pharma and Guerbet Japan, lecture fees by Beyer Holding Ltd., Covidien Japan, CANON Medical Systems, and Hikari Pharmaceutical. Chihiro Hattori: Activities not related to the present article: Employee of Canon Medical Systems. Yasuko Fujisawa: Activities not related to the present article: Employee of Canon Medical Systems. Masahiko Kusumoto: Activities related to the present article: Institution received research grant from Canon Medical Systems. Activities not related to the present article: The author received honoraria for lecture fees from AstraZeneca K.K. and Daiichi-Sankyo Inc.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This study was approved by the Institutional Ethics Committee.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical statement"}},{"value":"Informed consent for participation in this study was waived owing to its retrospective nature.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}