{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T20:12:42Z","timestamp":1789675962487,"version":"4.0.1"},"reference-count":23,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2024,1,3]],"date-time":"2024-01-03T00:00:00Z","timestamp":1704240000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Neuroimaging"],"published-print":{"date-parts":[[2024,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background and Purpose<\/jats:title><jats:p>Dynamic susceptibility contrast\u2010enhanced (DSC) MR perfusion is a valuable technique for distinguishing brain tumors. Diagnostic potential of measurable parameters derived from preload leakage\u2010corrected\u2010DSC\u2010MRI remains somewhat underexplored. This study aimed to evaluate these parameters for differentiating primary CNS lymphoma (PCNSL), glioblastoma, and metastasis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Thirty\u2010nine patients with pathologically proven PCNSL (<jats:italic>n<\/jats:italic> = 14), glioblastoma (<jats:italic>n<\/jats:italic> = 14), and metastasis (<jats:italic>n<\/jats:italic> = 11) were analyzed. Five DSC parameters\u2014relative CBV (rCBV), percentage of signal recovery (PSR), downward slope (DS), upward slope (US), and first\u2010pass slope ratio\u2014were derived from tumor\u2010enhancing areas. Diagnostic performance was assessed using receiver operating characteristic curve analysis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>RCBV was higher in metastasis (4.58; interquartile range [IQR]: 2.54) and glioblastoma (3.98; IQR: 1.87), compared with PCNSL (1.46; IQR: 0.29; <jats:italic>p<\/jats:italic> = .00006 for both). rCBV better distinguished metastasis and glioblastoma from PCNSL, with an area under the curve (AUC) of 0.97 and 0.99, respectively.<\/jats:p><jats:p>PSR was higher in PCNSL (88.11; IQR: 21.21) than metastases (58.30; IQR: 22.28; <jats:italic>p<\/jats:italic> = .0002), while glioblastoma (74.54; IQR: 21.23) presented almost significant trend\u2010level differences compared to the others (<jats:italic>p<\/jats:italic>\u2248.05). AUCs were 0.79 (PCNSL vs. glioblastoma), 0.91 (PCNSL vs. metastasis), and 0.78 (glioblastoma vs. metastasis).<\/jats:p><jats:p>DS and US parameters were statistically significant between glioblastoma (\u2212109.92; IQR: 152.71 and 59.06; IQR: 52.87) and PCNSL (\u221247.36; IQR: 44.30 and 21.68; IQR: 16.85), presenting AUCs of 0.86 and 0.87.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Metastasis and glioblastoma can be better differentiated from PCNSL through rCBV. PSR demonstrated higher differential performance compared to the other parameters and seemed useful, allowing a proper distinction among all, particularly between metastasis and glioblastoma, where rCBV failed. Finally, DS and US were only helpful in differentiating glioblastoma from PCNSL.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jon.13183","type":"journal-article","created":{"date-parts":[[2024,1,4]],"date-time":"2024-01-04T04:59:15Z","timestamp":1704344355000},"page":"257-266","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Multiparametric analysis from dynamic susceptibility contrast\u2010enhanced perfusion MRI to evaluate malignant brain tumors"],"prefix":"10.1111","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8942-275X","authenticated-orcid":false,"given":"Vasco Sousa","family":"Abreu","sequence":"first","affiliation":[{"name":"Neuroradiology Department Centro Hospitalar Universit\u00e1rio do Porto  Porto Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jo\u00e3o","family":"Tarrio","sequence":"additional","affiliation":[{"name":"Neuroradiology Department Centro Hospitalar 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