Real world experience with [Tc]Tc-HYNIC-iPSMA SPECT prostate cancer detection: interim results from the global NOBLE registry.

Purpose: [Tc]Tc-HYNIC-iPSMA is a novel technetium-99m-labelled small molecule inhibitor of the prostate-specific membrane antigen (PSMA) for detecting prostate cancer (PC). The objective of this registry was to collect and evaluate [Tc]Tc-HYNIC-iPSMA patient data and images to establish the safety and tolerability, and clinical utility of this agent in imaging at different stages of PC.

Methods: Patients 18 to 80 years old with primary staging and metastatic PC were eligible.

Non-FDG hypoxia tracers.

Hypoxia plays a critical role in tumor biology, influencing cancer progression, treatment resistance, and patient prognosis. While 18-Fluorine fluoredeoxyglucose ([18F]F-FDG) PET imaging has been the standard for metabolic assessment, its limitations in accurately depicting hypoxic tumor regions necessitate the exploration of non-FDG hypoxia tracers. This review aims to evaluate emerging non-FDG radiotracers, such as nitroimidazole derivatives, copper-based agents, gallium-based agents and other innovative compounds, highlighting their mechanisms of action, biodistribution, and clinical applications.

Ionising radiation exposure-induced regulation of selected biomarkers and their impact in cancer and treatment.

Ionising radiation (IR) is a form of energy that travels as electromagnetic waves or particles. While it is vital in medical and occupational health settings, IR can also damage DNA, leading to mutations, chromosomal aberrations, and transcriptional changes that disrupt the functions of certain cell regulators, genes, and transcription factors. These disruptions can alter functions critical for cancer development, progression, and treatment response.

Prostate-Specific Membrane Antigen-Positron Emission Tomography-Guided Radiomics and Machine Learning in Prostate Carcinoma.

Positron emission tomography (PET) using radiolabeled prostate-specific membrane antigen targeting PET-imaging agents has been increasingly used over the past decade for imaging and directing prostate carcinoma treatment. Here, we summarize the available literature data on radiomics and machine learning using these imaging agents in prostate carcinoma. Gleason scores derived from biopsy and after resection are discordant in a large number of prostate carcinoma patients.