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Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas.
Boxerman, Jerrold L; Quarles, Chad C; Hu, Leland S; Erickson, Bradley J; Gerstner, Elizabeth R; Smits, Marion; Kaufmann, Timothy J; Barboriak, Daniel P; Huang, Raymond H; Wick, Wolfgang; Weller, Michael; Galanis, Evanthia; Kalpathy-Cramer, Jayashree; Shankar, Lalitha; Jacobs, Paula; Chung, Caroline; van den Bent, Martin J; Chang, Susan; Al Yung, W K; Cloughesy, Timothy F; Wen, Patrick Y; Gilbert, Mark R; Rosen, Bruce R; Ellingson, Benjamin M; Schmainda, Kathleen M.
Afiliação
  • Boxerman JL; Department of Diagnostic Imaging, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA.
  • Quarles CC; Representative of the Eastern Cooperative Oncology Group-American College of Radiology Imaging Network (ECOG-ACRIN) Cancer Research Group.
  • Hu LS; Representative of the American Society of Neuroradiology (ASNR).
  • Erickson BJ; Representative of the American Society of Functional Neuroradiology (ASFNR).
  • Gerstner ER; Department of Neuroimaging Research and Barrow Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, Arizona, USA.
  • Smits M; Department of Radiology, Mayo Clinic, Phoenix, Arizona, USA.
  • Kaufmann TJ; Representative of the Alliance for Clinical Trials in Oncology.
  • Barboriak DP; Representative of the American Society of Neuroradiology (ASNR).
  • Huang RH; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Wick W; Representative of the Alliance for Clinical Trials in Oncology.
  • Weller M; Representative of the RSNA Quantitative Imaging Biomarker Alliance (QIBA).
  • Galanis E; Representative of the American Society of Neuroradiology (ASNR).
  • Kalpathy-Cramer J; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
  • Shankar L; Representative of the Adult Brain Tumor Consortium (ABTC).
  • Jacobs P; Department of Radiology and Nuclear Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, Netherlands.
  • Chung C; Representative of the European Organisation for Research and Treatment of Cancer (EORTC).
  • van den Bent MJ; Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Chang S; Representative of the Alliance for Clinical Trials in Oncology.
  • Al Yung WK; Department of Radiology, Duke University School of Medicine, Durham, North Carolina, USA.
  • Cloughesy TF; Representative of the Eastern Cooperative Oncology Group-American College of Radiology Imaging Network (ECOG-ACRIN) Cancer Research Group.
  • Wen PY; Representative of the RSNA Quantitative Imaging Biomarker Alliance (QIBA).
  • Gilbert MR; Representative of the American Society of Neuroradiology (ASNR).
  • Rosen BR; Department of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
  • Ellingson BM; Center for Neuro-Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts, USA.
  • Schmainda KM; Department of Neurooncology, National Center of Tumor Disease, University Clinic Heidelberg, Heidelberg, Germany.
Neuro Oncol ; 22(9): 1262-1275, 2020 09 29.
Article em En | MEDLINE | ID: mdl-32516388
Despite the widespread clinical use of dynamic susceptibility contrast (DSC) MRI, DSC-MRI methodology has not been standardized, hindering its utilization for response assessment in multicenter trials. Recently, the DSC-MRI Standardization Subcommittee of the Jumpstarting Brain Tumor Drug Development Coalition issued an updated consensus DSC-MRI protocol compatible with the standardized brain tumor imaging protocol (BTIP) for high-grade gliomas that is increasingly used in the clinical setting and is the default MRI protocol for the National Clinical Trials Network. After reviewing the basis for controversy over DSC-MRI protocols, this paper provides evidence-based best practices for clinical DSC-MRI as determined by the Committee, including pulse sequence (gradient echo vs spin echo), BTIP-compliant contrast agent dosing (preload and bolus), flip angle (FA), echo time (TE), and post-processing leakage correction. In summary, full-dose preload, full-dose bolus dosing using intermediate (60°) FA and field strength-dependent TE (40-50 ms at 1.5 T, 20-35 ms at 3 T) provides overall best accuracy and precision for cerebral blood volume estimates. When single-dose contrast agent usage is desired, no-preload, full-dose bolus dosing using low FA (30°) and field strength-dependent TE provides excellent performance, with reduced contrast agent usage and elimination of potential systematic errors introduced by variations in preload dose and incubation time.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Glioma Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Encefálicas / Glioma Idioma: En Ano de publicação: 2020 Tipo de documento: Article