{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T02:06:04Z","timestamp":1787018764287,"version":"build-2736575974"},"reference-count":26,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2017,9,13]],"date-time":"2017-09-13T00:00:00Z","timestamp":1505260800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Cereb Blood Flow Metab"],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:p>\n                    Quantification of regional cerebral blood flow (CBF) using [\n                    <jats:sup>15<\/jats:sup>\n                    O]H\n                    <jats:sub>2<\/jats:sub>\n                    O positron emission tomography (PET) requires the use of an arterial input function. Arterial sampling, however, is not always possible, for example in ill-conditioned or paediatric patients. Therefore, it is of interest to explore the use of non-invasive methods for the quantification of CBF. For validation of non-invasive methods, test\u2013retest normal and hypercapnia data from 15 healthy volunteers were used. For each subject, the data consisted of up to five dynamic [\n                    <jats:sup>15<\/jats:sup>\n                    O]H\n                    <jats:sub>2<\/jats:sub>\n                    O brain PET studies of 10\u2009min and including arterial sampling. A measure of CBF was estimated using several non-invasive methods earlier reported in literature. In addition, various parameters were derived from the time-activity curve (TAC). Performance of these methods was assessed by comparison with full kinetic analysis using correlation and agreement analysis. The analysis was repeated with normalization to the whole brain grey matter value, providing relative CBF distributions. A reliable, absolute quantitative estimate of CBF could not be obtained with the reported non-invasive methods. Relative (normalized) CBF was best estimated using the double integration method.\n                  <\/jats:p>","DOI":"10.1177\/0271678x17730654","type":"journal-article","created":{"date-parts":[[2017,9,13]],"date-time":"2017-09-13T10:44:28Z","timestamp":1505299468000},"page":"163-172","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["Semi-quantitative cerebral blood flow parameters derived from non-invasive [\n                    <sup>15<\/sup>\n                    O]H\n                    <sub>2<\/sub>\n                    O PET studies"],"prefix":"10.1177","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3123-5278","authenticated-orcid":false,"given":"Thomas","family":"Koopman","sequence":"first","affiliation":[{"name":"Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maqsood","family":"Yaqub","sequence":"additional","affiliation":[{"name":"Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dennis FR","family":"Heijtel","sequence":"additional","affiliation":[{"name":"Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands"},{"name":"Philips Healthcare, Best, the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aart J","family":"Nederveen","sequence":"additional","affiliation":[{"name":"Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bart NM","family":"van Berckel","sequence":"additional","affiliation":[{"name":"Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adriaan A","family":"Lammertsma","sequence":"additional","affiliation":[{"name":"Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ronald","family":"Boellaard","sequence":"additional","affiliation":[{"name":"Department of Radiology & Nuclear Medicine, VU University Medical Center, Amsterdam, the Netherlands"},{"name":"Department of Nuclear Medicine & Molecular imaging, University Medical Center Groningen, Groningen, the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2017,9,13]]},"reference":[{"key":"bibr1-0271678X17730654","doi-asserted-by":"publisher","DOI":"10.1038\/sj.jcbfm.9600493"},{"key":"bibr2-0271678X17730654","doi-asserted-by":"publisher","DOI":"10.1161\/01.STR.0000177839.03321.25"},{"key":"bibr3-0271678X17730654","doi-asserted-by":"publisher","DOI":"10.1097\/00004728-198012000-00001"},{"key":"bibr4-0271678X17730654","unstructured":"Herscovitch P, Markham J and Raichle ME. 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