{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,2]],"date-time":"2026-10-02T04:02:59Z","timestamp":1790913779470,"version":"4.1.0"},"reference-count":38,"publisher":"Wiley","license":[{"start":{"date-parts":[[2011,9,7]],"date-time":"2011-09-07T00:00:00Z","timestamp":1315353600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["K25 CA114254"],"award-info":[{"award-number":["K25 CA114254"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01 CA154561"],"award-info":[{"award-number":["R01 CA154561"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["K25 CA114254"],"award-info":[{"award-number":["K25 CA114254"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01 CA154561"],"award-info":[{"award-number":["R01 CA154561"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"UC Discovery Grant","award":["K25 CA114254"],"award-info":[{"award-number":["K25 CA114254"]}]},{"name":"UC Discovery Grant","award":["R01 CA154561"],"award-info":[{"award-number":["R01 CA154561"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["International Journal of Molecular Imaging"],"published-print":{"date-parts":[[2011,9,7]]},"abstract":"<jats:p>\n                    Currently, kinetic analyses using dynamic positron emission tomography (PET) experience very limited use despite their potential for improving quantitative accuracy in several clinical and research applications. For targeted volume applications, such as radiation treatment planning, treatment monitoring, and cerebral metabolic studies, the key to implementation of these methods is the  determination of an arterial input function, which can include time-consuming analysis of blood samples for metabolite correction. Targeted kinetic applications would become practical for the clinic if blood sampling and metabolite correction could be avoided. To this end, we developed a novel method (Patlak-\n                    <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                      <mml:mo>P<\/mml:mo>\n                    <\/mml:math>\n                    ) of generating parametric maps that is identical to Patlak\n                    <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                      <mml:mrow>\n                        <mml:msub>\n                          <mml:mi>K<\/mml:mi>\n                          <mml:mi>i<\/mml:mi>\n                        <\/mml:msub>\n                      <\/mml:mrow>\n                    <\/mml:math>\n                    (within a global scalar multiple) but does not require the determination of the arterial input function or metabolite correction. In this initial study, we show that Patlak-\n                    <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                      <mml:mo>P<\/mml:mo>\n                    <\/mml:math>\n                    (a) mimics Patlak\n                    <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                      <mml:mrow>\n                        <mml:msub>\n                          <mml:mi>K<\/mml:mi>\n                          <mml:mi>i<\/mml:mi>\n                        <\/mml:msub>\n                      <\/mml:mrow>\n                    <\/mml:math>\n                    images in terms of visual assessment and target-to-background (TB) ratios of regions of elevated uptake,  (b) has higher visual contrast and (generally) better image quality than SUV, and (c) may have an important role in improving radiotherapy planning, therapy monitoring, and neurometabolism studies.\n                  <\/jats:p>","DOI":"10.1155\/2011\/185083","type":"journal-article","created":{"date-parts":[[2011,9,7]],"date-time":"2011-09-07T15:01:15Z","timestamp":1315407675000},"page":"1-12","source":"Crossref","is-referenced-by-count":10,"title":["Patient-Specific Method of Generating Parametric Maps of Patlak\n                    <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\">\n                      <mml:mrow>\n                        <mml:msub>\n                          <mml:mi>K<\/mml:mi>\n                          <mml:mi>i<\/mml:mi>\n                        <\/mml:msub>\n                      <\/mml:mrow>\n                    <\/mml:math>\n                    without Blood Sampling or Metabolite Correction: A Feasibility Study"],"prefix":"10.1155","volume":"2011","author":[{"given":"George A.","family":"Sayre","sequence":"first","affiliation":[{"name":"UCSF Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143-0628, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benjamin L.","family":"Franc","sequence":"additional","affiliation":[{"name":"UCSF Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143-0628, USA"},{"name":"Division of Nuclear Medicine, Radiological Associates of Sacramento, Sacramento, CA 95815, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Youngho","family":"Seo","sequence":"additional","affiliation":[{"name":"UCSF Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA 94143-0628, USA"},{"name":"UCSF Department of Radiation Oncology, University of California, San Francisco, CA 94115-1708, USA"},{"name":"UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, CA 94143-0875, USA"},{"name":"UC Berkeley & UCSF Graduate Program in Bioengineering, Berkeley and San Francisco, CA 94158-2330, 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