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Quantitative Magnetization Transfer in Monitoring Glioblastoma (GBM) Response to Therapy.
Mehrabian, Hatef; Myrehaug, Sten; Soliman, Hany; Sahgal, Arjun; Stanisz, Greg J.
Afiliação
  • Mehrabian H; Medical Biophysics, University of Toronto, Toronto, Ontario, Canada. hatef.mehrabian@sunnybrook.ca.
  • Myrehaug S; Physical Sciences, Sunnybrook Research Institute, Toronto, Ontario, Canada. hatef.mehrabian@sunnybrook.ca.
  • Soliman H; Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
  • Sahgal A; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
  • Stanisz GJ; Radiation Oncology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Sci Rep ; 8(1): 2475, 2018 02 06.
Article em En | MEDLINE | ID: mdl-29410469
ABSTRACT
Quantitative magnetization transfer (qMT) was used as a biomarker to monitor glioblastoma (GBM) response to chemo-radiation and identify the earliest time-point qMT could differentiate progressors from non-progressors. Nineteen GBM patients were recruited and MRI-scanned before (Day0), two weeks (Day14), and four weeks (Day28) into the treatment, and one month after the end of the treatment (Day70). Comprehensive qMT data was acquired, and a two-pool MT model was fit to the data. Response was determined at 3-8 months following the end of chemo-radiation. The amount of magnetization transfer ([Formula see text]) was significantly lower in GBM compared to normal appearing white matter (p < 0.001). Statistically significant difference was observed in [Formula see text] at Day0 between non-progressors (1.06 ± 0.24) and progressors (1.64 ± 0.48), with p = 0.006. Changes in several qMT parameters between Day14 and Day0 were able to differentiate the two cohorts with [Formula see text] providing the best separation (relative [Formula see text] = 1.34 ± 0.21, relative [Formula see text] = 1.07 ± 0.08, p = 0.031). Thus, qMT characteristics of GBM are more sensitive to treatment effects compared to clinically used metrics. qMT could assess tumor aggressiveness and identify early progressors even before the treatment. Changes in qMT parameters within the first 14 days of the treatment were capable of separating early progressors from non-progressors, making qMT a promising biomarker to guide adaptive radiotherapy for GBM.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Neoplasias Encefálicas / Interpretação de Imagem Assistida por Computador / Glioblastoma / Antineoplásicos Alquilantes / Temozolomida / Raios gama Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Encéfalo / Neoplasias Encefálicas / Interpretação de Imagem Assistida por Computador / Glioblastoma / Antineoplásicos Alquilantes / Temozolomida / Raios gama Tipo de estudo: Prognostic_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article