Antiabortion laws and reproductive health information in nuclear medicine.

The Supreme Court of the United States (SCOTUS) decision on Dobbs v Jackson Women's Health Organization overturned a 49-year-old federal recognition of abortion rights and drastically altered a long-established risk-benefit analysis for pregnant or potentially pregnant patients in nuclear medicine. In this current legal landscape, the collection/documentation of reproductive health information (RHI) must be reduced and, in our brief communication, we outline how to do just that.

Image-Based Quantification of Gold Nanoparticle Uptake and Localization in 3D Tumor Models to Inform Radiosensitization Schedule.

Gold nanoparticles (GNPs) have shown particular promise as radiosensitizing agents and as complementary drug delivery agents to improve therapeutic index in cancer treatment. Optimal implementation, however, depends critically on the localization of GNPs at the time of irradiation, which, in turn, depends on their size, shape, and chemical functionalization, as well as organism-level pharmacokinetics and interactions with the tumor microenvironment. Here, we use in vitro 3D cultures of A549 lung carcinoma cells, which recapitulate interaction with extracellular matrix (ECM) components, combined with quantitative fluorescence imaging to study how time-dependent localization of ultrasmall GNPs in tumors and ECM impacts the degree of damage enhancement to tumor cells.

A deep learning approach to gold nanoparticle quantification in computed tomography.

Introduction: Deep learning (DL) is used to classify, detect, and quantify gold nanoparticles (AuNPs) in a human-sized phantom with a clinical MDCT scanner.

Methods: AuNPs were imaged at concentrations between 0.0274 and 200 mgAu/mL in a 33 cm phantom.

CT imaging of gold nanoparticles in a human-sized phantom.

Introduction: Gold nanoparticles (AuNPs) are visualized and quantified in a human-sized phantom with a clinical MDCT scanner.

Methods: Experiments were conducted with AuNPs between 0.00171 and 200 mgAu/mL.

Characterizing the modulation transfer function (MTF) of proton/carbon radiography using Monte Carlo simulations.

Purpose: To characterize the modulation transfer function (MTF) of proton/carbon radiography using Monte Carlo simulations. To assess the spatial resolution of proton/carbon radiographic imaging.

Methods: A phantom was specifically modeled with inserts composed of two materials with three different densities of bone and lung.