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Multiparametric analysis from dynamic susceptibility contrast-enhanced perfusion MRI to evaluate malignant brain tumors.
Abreu, Vasco Sousa; Tarrio, João; Silva, José; Almeida, Francisco; Pinto, Catarina; Freitas, Davide; Filipe, João Pedro.
Afiliación
  • Abreu VS; Neuroradiology Department, Centro Hospitalar Universitário do Porto, Porto, Portugal.
  • Tarrio J; Neuroradiology Department, Centro Hospitalar Universitário do Porto, Porto, Portugal.
  • Silva J; Neuroradiology Department, Centro Hospitalar Universitário do Porto, Porto, Portugal.
  • Almeida F; Neuroradiology Department, Centro Hospitalar Universitário do Porto, Porto, Portugal.
  • Pinto C; Neuroradiology Department, Centro Hospitalar Universitário do Porto, Porto, Portugal.
  • Freitas D; Neuroradiology Department, Centro Hospitalar Universitário do Porto, Porto, Portugal.
  • Filipe JP; Neuroradiology Department, Centro Hospitalar Universitário do Porto, Porto, Portugal.
J Neuroimaging ; 34(2): 257-266, 2024.
Article en En | MEDLINE | ID: mdl-38173078
ABSTRACT
BACKGROUND AND

PURPOSE:

Dynamic susceptibility contrast-enhanced (DSC) MR perfusion is a valuable technique for distinguishing brain tumors. Diagnostic potential of measurable parameters derived from preload leakage-corrected-DSC-MRI remains somewhat underexplored. This study aimed to evaluate these parameters for differentiating primary CNS lymphoma (PCNSL), glioblastoma, and metastasis.

METHODS:

Thirty-nine patients with pathologically proven PCNSL (n = 14), glioblastoma (n = 14), and metastasis (n = 11) were analyzed. Five DSC parameters-relative CBV (rCBV), percentage of signal recovery (PSR), downward slope (DS), upward slope (US), and first-pass slope ratio-were derived from tumor-enhancing areas. Diagnostic performance was assessed using receiver operating characteristic curve analysis.

RESULTS:

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; p = .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. PSR was higher in PCNSL (88.11; IQR 21.21) than metastases (58.30; IQR 22.28; p = .0002), while glioblastoma (74.54; IQR 21.23) presented almost significant trend-level differences compared to the others (p≈.05). AUCs were 0.79 (PCNSL vs. glioblastoma), 0.91 (PCNSL vs. metastasis), and 0.78 (glioblastoma vs. metastasis). DS and US parameters were statistically significant between glioblastoma (-109.92; IQR 152.71 and 59.06; IQR 52.87) and PCNSL (-47.36; IQR 44.30 and 21.68; IQR 16.85), presenting AUCs of 0.86 and 0.87.

CONCLUSION:

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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioblastoma / Linfoma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Neuroimaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Portugal

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioblastoma / Linfoma Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: J Neuroimaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: Portugal
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