{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,9]],"date-time":"2026-10-09T14:21:58Z","timestamp":1791555718383,"version":"4.3.4"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,8,31]],"date-time":"2017-08-31T00:00:00Z","timestamp":1504137600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2017,8,31]],"date-time":"2017-08-31T00:00:00Z","timestamp":1504137600000},"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":["Sci Rep"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Quantitative imaging modalities for the analysis of hypoxia in brain tumors are lacking. The objective of this study was to generate absolute maps of tissue p<jats:sub>t<\/jats:sub>O<jats:sub>2<\/jats:sub> from [<jats:sup>18<\/jats:sup>F]-FMISO images in glioblastoma and less aggressive glioma patients in order to quantitatively assess tumor hypoxia. An ancillary objective was to compare estimated p<jats:sub>t<\/jats:sub>O<jats:sub>2<\/jats:sub> values to other biomarkers: perfusion weighted imaging (PWI) and tumor metabolism obtained from <jats:sup>1<\/jats:sup>H-MR mono-voxel spectroscopy (MRS). Ten patients with glioblastoma (GBM) and three patients with less aggressive glioma (nGBM) were enrolled. All patients had [<jats:sup>18<\/jats:sup>F]-FMISO and multiparametric MRI (anatomic, PWI, MRS) scans. A non-linear regression was performed to generate p<jats:sub>t<\/jats:sub>O<jats:sub>2<\/jats:sub> maps based on normal appearing gray (NAGM) and white matter (NAWM) for each patient. As expected, a marked [<jats:sup>18<\/jats:sup>F]-FMISO uptake was observed in GBM patients. The p<jats:sub>t<\/jats:sub>O<jats:sub>2<\/jats:sub> based on patient specific calculations was notably low in this group (4.8\u2009\u00b1\u20091.9\u2009mmHg, p\u2009&lt;\u20090.001) compared to all other groups (nGBM, NAGM and NAWM). The rCBV was increased in GBM (1.4\u2009\u00b1\u20090.2 when compared to nGBM tumors 0.8\u2009\u00b1\u20090.4). Lactate (and lipid) concentration increased in GBM (27.8\u2009\u00b1\u200913.8%) relative to nGBM (p\u2009&lt;\u20090.01). Linear, nonlinear and ROC curve analyses between p<jats:sub>t<\/jats:sub>O<jats:sub>2<\/jats:sub> maps, PWI-derived rCBV maps and MRS-derived lipid and lactate concentration strengthens the robustness of our approaches.<\/jats:p>","DOI":"10.1038\/s41598-017-08646-y","type":"journal-article","created":{"date-parts":[[2017,8,25]],"date-time":"2017-08-25T11:15:03Z","timestamp":1503659703000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["FMISO-PET-derived brain oxygen tension maps: application to glioblastoma and less aggressive gliomas"],"prefix":"10.1038","volume":"7","author":[{"given":"Ararat","family":"Chakhoyan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean-Sebastien","family":"Guillamo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sol\u00e8ne","family":"Collet","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fran\u00e7ois","family":"Kauffmann","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicolas","family":"Delcroix","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emmanu\u00e8le","family":"Lechapt-Zalcman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jean-Marc","family":"Constans","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edwige","family":"Petit","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eric T.","family":"MacKenzie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Louisa","family":"Barr\u00e9","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Myriam","family":"Bernaudin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Omar","family":"Touzani","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samuel","family":"Valable","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2017,8,31]]},"reference":[{"key":"8646_CR1","doi-asserted-by":"publisher","first-page":"2623","DOI":"10.1158\/1078-0432.CCR-07-4995","volume":"14","author":"AM Spence","year":"2008","unstructured":"Spence, A. 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