Evidence map›Paper›PMID 32516388›Full record

ArticleNeuro-oncology2020

Consensus recommendations for a dynamic susceptibility contrast MRI protocol for use in high-grade gliomas.

Jerrold L Boxerman, Chad C Quarles, Leland S Hu, Bradley J Erickson, Elizabeth R Gerstner, Marion Smits, Timothy J Kaufmann, Daniel P Barboriak, Raymond H Huang, Wolfgang Wick and 16 more

Registry-linked trialAbstract readConsensus Statement
In one paragraph

Article in Neuro-oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07036783 (Multimodal Data Collection for the Development and Validation of the STRATUM Tool to Assist Surgery in Patients Affected by Brain Tumours), which is not on this map. Cited by 130 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT07036783 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Multimodal Data Collection for the Development and Validation of the STRATUM Tool to Assist Surgery in Patients Affected by Brain Tumours: Observational Study

Typeobservational_patient_registrySponsorFundación Canaria Instituto de Investigación Sanitaria de CanariasRan2025 to 2027Enrolled320ConditionsBrain (Nervous System) Cancers, Brain Tumor, Primary
3 · Its place in the literature

Who cites it

130 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. The Next Frontier in Quantitative Co-Clinical Imaging to Advance Functional Precision Oncology.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  7. Preclinical in-vivo cerebrovascular imaging in rodent models: Methods and applications in Alzheimer's disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Review
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  18. Evaluation of [Journal of clinical medicine · 2025
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70 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Jerrold L BoxermanDepartment of Diagnostic Imaging, Warren Alpert Medical School, Brown University, Providence, Rhode Island, USA.
Chad C QuarlesDepartment of Neuroimaging Research and Barrow Neuroimaging Innovation Center, Barrow Neurological Institute, Phoenix, Arizona, USA.
Leland S HuDepartment of Radiology, Mayo Clinic, Phoenix, Arizona, USA.
Bradley J EricksonDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Elizabeth R GerstnerDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Marion SmitsDepartment of Radiology and Nuclear Medicine, Erasmus MC-University Medical Center Rotterdam, Rotterdam, Netherlands.
Timothy J KaufmannDepartment of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
Daniel P BarboriakDepartment of Radiology, Duke University School of Medicine, Durham, North Carolina, USA.
Raymond H HuangDepartment of Radiology, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Wolfgang WickDepartment of Neurooncology, National Center of Tumor Disease, University Clinic Heidelberg, Heidelberg, Germany.
Michael WellerDepartment of Neurology, University Hospital and University of Zurich, Zurich, Switzerland.
Evanthia GalanisDivision of Medical Oncology, Department of Oncology, Mayo Clinic, Rochester, Minnesota, USA.
Jayashree Kalpathy-CramerMartinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Lalitha ShankarDivision of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), Bethesda, Maryland, USA.
Paula JacobsDivision of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), Bethesda, Maryland, USA.
Caroline ChungDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Martin J van den BentDepartment of Neuro-Oncology, Erasmus MC Cancer Institute, Rotterdam, Netherlands.
Susan ChangDepartment of Neurological Surgery, University of California San Francisco, San Francisco, California, USA.
W K Al YungDepartment of Neuro-Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Timothy F CloughesyUCLA Neuro-Oncology Program and UCLA Brain Tumor Imaging Laboratory (BTIL), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
Patrick Y WenCenter for Neuro-Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts, USA.
Mark R GilbertNeuro-Oncology Branch, National Cancer Institute (NCI), Bethesda, Maryland, USA.
Bruce R RosenMartinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Benjamin M EllingsonUCLA Neuro-Oncology Program and UCLA Brain Tumor Imaging Laboratory (BTIL), David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
Kathleen M SchmaindaDepartment of Biophysics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Jumpstarting Brain Tumor Drug Development Coalition Imaging Standardization Steering Committee

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI DONNA NIEDZWIECKI · 1985 to 2026
$174.8M
UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI David A. Nathanson · 2017 to 2026
$25.2M
Brain Tumor Clinical and Clinical Research Program (Clinical Support Services)ZIDBC011642 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI OZER, BYRAM · 2015 to 2025
$23.4M
NCTN Lead Academic Participating Site at Dana-Farber/Partners Cancer CareUG1CA233180 · NCI · DANA-FARBER CANCER INST · PI Harold John Burstein · 2019 to 2026
$8.6M
MRI CONTRAST AGENT METHODS TO ASSESS TUMOR ANGIOGENESISR01CA082500 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI SCHMAINDA, KATHLEEN MARIE · 2000 to 2016
$5.0M
Quantitative (Perfusion and Diffusion) MRI Biomarkers to Measure Glioma ResponseU01CA176110 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI SCHMAINDA, KATHLEEN MARIE · 2014 to 2023
$4.9M
Quantifying Multiscale Competitive Landscapes of Clonal Diversity in GlioblastomaU01CA220378 · NCI · MAYO CLINIC ARIZONA · PI HU, LELAND, SWANSON, KRISTIN R · 2017 to 2021
$4.3M
Rare Central Nervous System Cancers InitiativeZIABC011643 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GILBERT, MARK · 2015 to 2024
$4.2M
Identifying New Glioma-Associated Tumor Suppressors OncogenesZIABC011647 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GILBERT, MARK · 2015 to 2024
$4.2M
Translational ImmunologyZIABC011714 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GILBERT, MARK · 2016 to 2024
$4.0M
MRI Assessment of Tumor Perfusion, Permeability and CellularityR01CA158079 · NCI · VANDERBILT UNIVERSITY · PI QUARLES, CHRISTOPHER CHAD · 2011 to 2021
$3.5M
Exploring the Therapeutic Potential of Stem Cell Biology in GliomasZIABC011640 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GILBERT, MARK · 2015 to 2024
$3.1M
EPA EP-C-15-003NCI NIH HHS 1P50CA211015-01A1NCI NIH HHS P30 CA014236NCI NIH HHS P50 CA211015NCI NIH HHS R01 CA082500NCI NIH HHS R01 CA158079NCI NIH HHS R01 CA213158NCI NIH HHS R01 CA213158-01NCI NIH HHS R01 CA221938NCI NIH HHS R21 CA223757NCI NIH HHS U01 CA176110NCI NIH HHS U01 CA220378NCI NIH HHS UG1 CA233180
6 · The paper itself

Abstract

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.

Indexed as

Brain NeoplasmsGliomaAlgorithmsContrast MediaHumansMagnetic Resonance ImagingContrast Mediacerebral blood volumeclinical trialconsensus protocolDSC-MRIhigh-grade glioma

Identifiers

PMID32516388
PMCPMC7523451

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.