322 research outputs found
Physicochemical characterization of a novel graphene-based magnetic resonance imaging contrast agent
Shruti Kanakia,1 Jimmy D Toussaint,1 Sayan Mullick Chowdhury,1 Gaurav Lalwanim,1 Tanuf Tembulkar,1 Terry Button,1,2 Kenneth R Shroyer,3 William Moore,2 Balaji Sitharaman11Department of Biomedical Engineering, 2Department of Radiology, 3Department of Pathology, Stony Brook University, Stony Brook, NY, USAAbstract: We report the synthesis and characterization of a novel carbon nanostructure-based magnetic resonance imaging contrast agent (MRI CA); graphene nanoplatelets intercalated with manganese (Mn2+) ions, functionalized with dextran (GNP-Dex); and the in vitro assessment of its essential preclinical physicochemical properties: osmolality, viscosity, partition coefficient, protein binding, thermostability, histamine release, and relaxivity. The results indicate that, at concentrations between 0.1 and 100.0 mg/mL, the GNP-Dex formulations are hydrophilic, highly soluble, and stable in deionized water, as well as iso-osmolar (upon addition of mannitol) and iso-viscous to blood. At potential steady-state equilibrium concentrations in blood (0.1–10.0 mg/mL), the thermostability, protein-binding, and histamine-release studies indicate that the GNP-Dex formulations are thermally stable (with no Mn2+ ion dissociation), do not allow non-specific protein adsorption, and elicit negligible allergic response. The r1 relaxivity of GNP-Dex was 92 mM-1s-1 (per-Mn2+ ion, 22 MHz proton Larmor frequency); ~20- to 30-fold greater than that of clinical gadolinium (Gd3+)- and Mn2+-based MRI CAs. The results open avenues for preclinical in vivo safety and efficacy studies with GNP-Dex toward its development as a clinical MRI CA.Keywords: manganese, dextran, preclinical, physicochemical properties, relaxivity, graphene, magnetic resonance imaging, contrast agen
Strategies for building a successful ultrasound guided FNA practice in department of pathology-Experience at a university hospital
24 Immunohistochemical Validation of B7-H4 (DD-O110) asa Biomarker of Ovarian Cancer: Correlation with CA-125
Biomarkers of Cervical Dysplasia and Carcinoma
Although cervical cytology screening has decreased the incidence of cervical cancer in industrialized countries, HPV-related cervical disease, including premalignant and malignant lesions, continues to represent a major burden on the health care system. Some of the problems include the potential for either under- or overtreatment of women due to decreased specificity of screening tests as well as significant interobserver variability in the diagnosis of cervical dysplastic lesions. Although not completely elucidated, the HPV-driven molecular mechanisms underlying the development of cervical lesions have provided a number of potential biomarkers for both diagnostic and prognostic use in the clinical management of these women.</jats:p
Macrophage-Rich Reaction in Lymph Nodes as a Mimic of Metastatic Renal Cell Carcinoma on Fine Needle Aspiration
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images.
Beyond sample curation and basic pathologic characterization, the digitized H&E-stained images of TCGA samples remain underutilized. To highlight this resource, we present mappings of tumor-infiltrating lymphocytes (TILs) based on H&E images from 13 TCGA tumor types. These TIL maps are derived through computational staining using a convolutional neural network trained to classify patches of images. Affinity propagation revealed local spatial structure in TIL patterns and correlation with overall survival. TIL map structural patterns were grouped using standard histopathological parameters. These patterns are enriched in particular T cell subpopulations derived from molecular measures. TIL densities and spatial structure were differentially enriched among tumor types, immune subtypes, and tumor molecular subtypes, implying that spatial infiltrate state could reflect particular tumor cell aberration states. Obtaining spatial lymphocytic patterns linked to the rich genomic characterization of TCGA samples demonstrates one use for the TCGA image archives with insights into the tumor-immune microenvironment
Comparison of women author rates by author role by year with AAMC rates.
Comparison of women author rates by author role by year with AAMC rates.</p
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