{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,21]],"date-time":"2026-08-21T13:05:11Z","timestamp":1787317511060,"version":"build-2736575974"},"reference-count":37,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2022,11,16]],"date-time":"2022-11-16T00:00:00Z","timestamp":1668556800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006356","name":"Syddansk Universitet","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100006356","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Clin Physio Funct Imaging"],"published-print":{"date-parts":[[2023,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>\n                      Carotid atherosclerosis is a major cause of stroke, traditionally diagnosed late. Positron emission tomography\/computed tomography (PET\/CT) with\n                      <jats:sup>18<\/jats:sup>\n                      F\u2010sodium fluoride (NaF) detects arterial wall micro\u2010calcification long before macro\u2010calcification becomes detectable by ultrasound, CT or magnetic resonance imaging. However, manual PET\/CT processing is time\u2010consuming and requires experience. We compared a convolutional neural network (CNN) approach with manual segmentation of the common carotids.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Segmentation in NaF\u2010PET\/CT scans of 29 healthy volunteers and 20 angina pectoris patients were compared for segmented volume (Vol) and mean, maximal, and total standardized uptake values (SUVmean, SUVmax, and\u00a0SUVtotal). SUVmean was the average of SUVmeans within the VOI, SUVmax the highest SUV in all voxels in the VOI, and SUVtotal the SUVmean multiplied by the Vol of the VOI. Intra\u00a0and Interobserver variability with manual segmentation was examined in 25 randomly selected scans.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Bias for Vol, SUVmean, SUVmax, and SUVtotal were 1.33\u2009\u00b1\u20092.06, \u22120.01\u2009\u00b1\u20090.05, 0.09\u2009\u00b1\u20090.48, and 1.18\u2009\u00b1\u20091.99 in the left and 1.89\u2009\u00b1\u20091.5, \u22120.07\u2009\u00b1\u20090.12, 0.05\u2009\u00b1\u20090.47, and 1.61\u2009\u00b1\u20091.47, respectively, in the right common carotid artery. Manual segmentation lasted typically 20\u2009min versus 1\u2009min with the CNN\u2010based approach. Mean Vol deviation at repeat manual segmentation was 14% and 27% in left and right common carotids.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>CNN\u2010based segmentation was much faster and provided SUVmean values virtually identical to manually obtained ones, suggesting CNN\u2010based analysis as a promising substitute of slow and cumbersome manual processing.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/cpf.12793","type":"journal-article","created":{"date-parts":[[2022,11,4]],"date-time":"2022-11-04T07:09:00Z","timestamp":1667545740000},"page":"71-77","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Common carotid segmentation in\n                    <sup>18<\/sup>\n                    F\u2010sodium fluoride PET\/CT scans: Head\u2010to\u2010head comparison of artificial intelligence\u2010based and manual method"],"prefix":"10.1111","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6379-3373","authenticated-orcid":false,"given":"Reza","family":"Piri","sequence":"first","affiliation":[{"name":"Department of Nuclear Medicine Odense University Hospital  Odense Denmark"},{"name":"Department of Clinical Research University of Southern Denmark  Odense Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaran","family":"Hamakan","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine Odense University Hospital  Odense Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ask","family":"Vang","sequence":"additional","affiliation":[{"name":"Department of Nuclear Medicine Odense University Hospital  Odense Denmark"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0263-8820","authenticated-orcid":false,"given":"Lars","family":"Edenbrandt","sequence":"additional","affiliation":[{"name":"Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy University of Gothenburg  Gothenburg Sweden"},{"name":"Department of Clinical Physiology Region V\u00e4stra G\u00f6taland, Sahlgrenska University Hospital  Gothenburg Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M\u00e5ns","family":"Larsson","sequence":"additional","affiliation":[{"name":"Eigenvision AB  Malm\u00f6 Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Olof","family":"Enqvist","sequence":"additional","affiliation":[{"name":"Eigenvision AB  Malm\u00f6 Sweden"},{"name":"Department of Electrical Engineering Chalmers University of Technology  Gothenburg 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