Consensus recommendations for a standardized brain tumor imaging protocol for clinical trials in brain metastases

TJ Kaufmann, M Smits, J Boxerman, R Huang… - Neuro …, 2020 - academic.oup.com
A recent meeting was held on March 22, 2019, among the FDA, clinical scientists,
pharmaceutical and biotech companies, clinical trials cooperative groups, and patient …

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

JL Boxerman, CC Quarles, LS Hu, BJ Erickson… - Neuro …, 2020 - academic.oup.com
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 …

Consensus recommendations for MRI and PET imaging of primary central nervous system lymphoma: guideline statement from the International Primary CNS …

RF Barajas Jr, LS Politi, N Anzalone, H Schöder… - Neuro …, 2021 - academic.oup.com
Advanced molecular and pathophysiologic characterization of primary central nervous
system lymphoma (PCNSL) has revealed insights into promising targeted therapeutic …

High-grade glioma treatment response monitoring biomarkers: a position statement on the evidence supporting the use of advanced MRI techniques in the clinic, and …

OM Henriksen, M del Mar Álvarez-Torres… - Frontiers in …, 2022 - frontiersin.org
Objective Summarize evidence for use of advanced MRI techniques as monitoring
biomarkers in the clinic, and highlight the latest bench-to-bedside developments. Methods …

Standard clinical approaches and emerging modalities for glioblastoma imaging

JD Bernstock, SE Gary, N Klinger… - Neuro-Oncology …, 2022 - academic.oup.com
Glioblastoma (GBM) is the most common primary adult intracranial malignancy and carries a
dismal prognosis despite an aggressive multimodal treatment regimen that consists of …

FDA-approved machine learning algorithms in neuroradiology: a systematic review of the current evidence for approval

AG Yearley, CMW Goedmakers, A Panahi… - Artificial Intelligence in …, 2023 - Elsevier
Over the past decade, machine learning (ML) and artificial intelligence (AI) have become
increasingly prevalent in the medical field. In the United States, the Food and Drug …

[图书][B] Quantitative magnetic resonance imaging

N Seiberlich, V Gulani, A Campbell-Washburn… - 2020 - books.google.com
Quantitative Magnetic Resonance Imaging is a 'go-to'reference for methods and applications
of quantitative magnetic resonance imaging, with specific sections on Relaxometry …

Evaluation of single bolus, dual-echo dynamic susceptibility contrast MRI protocols in brain tumor patients

AM Stokes, M Bergamino, L Alhilali… - Journal of Cerebral …, 2021 - journals.sagepub.com
Relative cerebral blood volume (rCBV) obtained from dynamic susceptibility contrast (DSC)
MRI is adversely impacted by contrast agent leakage in brain tumors. Using simulations, we …

Perfusion MRI-based fractional tumor burden differentiates between tumor and treatment effect in recurrent glioblastomas and informs clinical decision-making

M Iv, X Liu, J Lavezo, AJ Gentles… - American Journal …, 2019 - Am Soc Neuroradiology
Background and Purpose Fractional tumor burden better correlates with histologic tumor
volume fraction in treated glioblastoma than other perfusion metrics such as relative CBV …

[HTML][HTML] Primary central nervous system lymphoma: advances in MRI and PET imaging

P Ambady, LS Hu, LS Politi, N Anzalone… - Annals of …, 2021 - ncbi.nlm.nih.gov
Contrast enhanced magnetic resonance imaging (CE-MRI) remains the imaging modality of
choice for initial workup, staging, and response assessment after therapy in patients with …