Publications by authors named "W Pope"

Lichens are composite organisms found throughout temperate terrestrial forests, with species-specific associations with industrial air pollution. Metagenomic analysis of lichen samples requires robust nucleic acid extraction methodology, a process that is challenging due to the protective cortex layers, high polysaccharide content, and the vast diversity of the internal microbiome. Our method includes physical lysis through garnet bead beating, chemical lysis using a sodium dodecyl sulfate buffer, phenol:chloroform:isoamyl alcohol extraction, and ethanol precipitation.

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Article Synopsis
  • This study evaluates the effectiveness of normalized apparent diffusion coefficient (nADC) versus percentage T2-FLAIR mismatch-volume (%T2FM-volume) in distinguishing IDH-mutant astrocytoma from other glioma types.* -
  • The analysis involved 105 non-enhancing gliomas, utilizing T2-FLAIR digital subtraction maps to identify tumor subregions, yielding results that showed nADC was significantly higher in IDH-mutant astrocytomas compared to other glioma subtypes.* -
  • Overall, nADC was found to be a more reliable classifier than %T2FM-volume, demonstrating higher sensitivity and specificity in identifying IDH-mutant astrocytomas, while survival analysis results indicated a trend
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Background And Purpose: Normalized relative cerebral blood volume (nrCBV) and percentage of signal recovery (PSR) computed from dynamic susceptibility contrast (DSC) perfusion imaging are useful biomarkers for differential diagnosis and treatment response assessment in brain tumors. However, their measurements are dependent on DSC acquisition factors, and CBV-optimized protocols technically differ from PSR-optimized protocols. This study aimed to generate "synthetic" DSC data with adjustable synthetic acquisition parameters using dual-echo gradient-echo (GE) DSC datasets extracted from dynamic spin-and-gradient-echo echoplanar imaging (dynamic SAGE-EPI).

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Radiographic assessment plays a crucial role in the management of patients with central nervous system (CNS) tumors, aiding in treatment planning and evaluation of therapeutic efficacy by quantifying response. Recently, an updated version of the Response Assessment in Neuro-Oncology (RANO) criteria (RANO 2.0) was developed to improve upon prior criteria and provide an updated, standardized framework for assessing treatment response in clinical trials for gliomas in adults.

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