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Multiparametric MR-PET measurements in hypermetabolic regions reflect differences in molecular status and tumor grade in treatment-naïve diffuse gliomas.
Tatekawa, Hiroyuki; Hagiwara, Akifumi; Uetani, Hiroyuki; Yao, Jingwen; Oughourlian, Talia C; Bahri, Shadfar; Wang, Chencai; Raymond, Catalina; Lai, Albert; Cloughesy, Timothy F; Nghiemphu, Phioanh L; Liau, Linda M; Pope, Whitney B; Salamon, Noriko; Ellingson, Benjamin M.
Afiliação
  • Tatekawa H; UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd, Suite 615, Los Angeles, CA, 90024, USA.
  • Hagiwara A; Department of Radiological Science, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90024, USA.
  • Uetani H; UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd, Suite 615, Los Angeles, CA, 90024, USA.
  • Yao J; Department of Radiological Science, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90024, USA.
  • Oughourlian TC; Department of Radiological Science, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90024, USA.
  • Bahri S; UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd, Suite 615, Los Angeles, CA, 90024, USA.
  • Wang C; Department of Radiological Science, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90024, USA.
  • Raymond C; Department of Bioengineering, Henry Samueli School of Engineering, University of California Los Angeles, Los Angeles, USA.
  • Lai A; UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd, Suite 615, Los Angeles, CA, 90024, USA.
  • Cloughesy TF; Department of Radiological Science, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90024, USA.
  • Nghiemphu PL; Neuroscience Interdepartmental Program, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
  • Liau LM; Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
  • Pope WB; UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd, Suite 615, Los Angeles, CA, 90024, USA.
  • Salamon N; Department of Radiological Science, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90024, USA.
  • Ellingson BM; UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, 924 Westwood Blvd, Suite 615, Los Angeles, CA, 90024, USA.
J Neurooncol ; 149(2): 337-346, 2020 Sep.
Article em En | MEDLINE | ID: mdl-32929644
ABSTRACT

PURPOSE:

To assess whether hypermetabolically-defined regions of interest (ROIs) on 3,4-dihydroxy-6-[18F]-fluoro-L-phenylalanine (FDOPA) positron emission tomography (PET) could be used to evaluate physiological features and whether there are measurable differences between molecular subtypes and tumor grades.

METHODS:

Sixty-eight treatment-naïve glioma patients who underwent FDOPA PET and magnetic resonance imaging (MRI) were retrospectively included. Fluid-attenuated inversion recovery hyperintense regions (FLAIRROI) were segmented. FDOPA hypermetabolic regions (FDOPAROI, tumor-to-striatum ratios > 1) within FLAIRROI were extracted. Normalized maximum standardized uptake value (nSUVmax), volume of each ROI, and median relative cerebral blood volume (rCBV) and apparent diffusion coefficient (ADC) within FLAIRROI or FDOPAROI were calculated. Imaging metrics were compared using Students t or Mann-Whitney U tests. Area under the curve (AUC) of receiver-operating characteristic curves were used to determine whether imaging metrics within FLAIRROI or FDOPAROI can discriminate different molecular statuses or grades.

RESULTS:

Using either FLAIRROI or FDOPAROI, the nSUVmax and rCBV were significantly higher and the ADC was lower in isocitrate dehydrogenase (IDH) wild-type than mutant gliomas, and in higher-grade gliomas (HGGs) than lower-grade gliomas (LGGs). The FDOPAROI volume was significantly higher in 1p19q codeleted than non-codeleted gliomas, and in HGGs than LGGs. Although not significant, imaging metrics extracted by FDOPAROI discriminated molecular status and tumor grade more accurately than those extracted by FLAIRROI (AUC of IDH status, 0.87 vs. 0.82; 1p19q status, 0.78 vs. 0.73; grade, 0.87 vs. 0.76).

CONCLUSION:

FDOPA hypermetabolic ROI may extract useful imaging features of gliomas, which can illuminate biological differences between different molecular status or tumor grades.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Imageamento por Ressonância Magnética / Biomarcadores Tumorais / Tomografia por Emissão de Pósitrons / Glioma / Mutação Tipo de estudo: Observational_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Neurooncol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Imageamento por Ressonância Magnética / Biomarcadores Tumorais / Tomografia por Emissão de Pósitrons / Glioma / Mutação Tipo de estudo: Observational_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Neurooncol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos