Molecular imaging is redefining in vivo characterization of multiple sclerosis, a demyelinating disease with complex and heterogeneous clinical profiles. Recent advances in PET tracers enable more ...
Dr. David Nathanson is a professor of molecular and medical pharmacology at UCLA. He received his Ph.D. in molecular and medical pharmacology at UCLA under Dr. Paul Mischel, where he discovered that ...
Although absent in most adult tissues, hexokinase 2 (HK2) is expressed in most tumors and contributes to increased glucose consumption and to in vivo tumor 18F-FDG PET signaling. Methods: Both HK2 ...
Journal of Nuclear Medicine January 2026, jnumed.125.271410; DOI: https://doi.org/10.2967/jnumed.125.271410 ...
A new era of precision diagnostics and therapy for patients with neuroendocrine neoplasms began with the approval of somatostatin receptor (SSTR) radiopharmaceuticals for PET imaging followed by ...
This paper presents standardized methods for collecting data to be used in performing dose calculations for radiopharmaceuticals. Various steps in the process are outlined, with some specific examples ...
Radiopharmaceutical dosimetry depends on the localization in space and time of radioactive sources and requires the estimation of the amount of energy emitted by the sources deposited within targets.
Journal of Nuclear Medicine January 2026, jnumed.125.271020; DOI: https://doi.org/10.2967/jnumed.125.271020 ...
The evolution of peptidomimetic hybrid molecules for preoperative imaging and guided surgery targeting the prostate-specific membrane antigen (PSMA) significantly progressed over the past few years, ...
Radiolabeled fibroblast activation protein (FAP) inhibitors (FAPIs) have shown promise as cancer diagnostic agents; however, the relatively short tumor retention of FAPIs may limit their application ...
Johannes Czernin, MD, editor in chief of The Journal of Nuclear Medicine, talked with David W. Townsend, PhD, and Thomas Beyer, PhD, MBA, about their pioneering work in the development of PET/CT ...
Scintillation camera images contain a large amount of Poisson noise. We have investigated whether noise can be removed in whole-body bone scans using convolutional neural networks (CNNs) trained with ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results