Tracing prostate cancer - the evolution of PET-CT applications.

Background: The study aimed to overview radiopharmaceuticals used for the nuclear medicine (NM) imaging of prostate cancer (Pca) since the first mentions in the literature up to recent reports, with the special focus on positron emission tomography-computed tomography (PET-CT) radiotracers.

Materials And Methods: We found over 3500 articles discussing the role of PET-CT in Pca patients' management published within 1990-2023. We summarized the past and present interests of the Authors when the Pca diagnostic imaging and the use of radiotracers in Pca diagnosis are considered.

[18F]FDG PET/CT Imaging and Hematological Parameters Can Help Predict HPV Status in Head and Neck Cancer.

Objective: To determine whether [F]FDG PET/CT and hematological parameters provide supportive data to determine HPV status in HNSCC patients.

Methods: Retrospective analysis of clinical and diagnostic data from 106 patients with HNSCC: 26.4% HPV-positive and 73.

Value of [F]FDG PET/CT parameters of the primary tumor in assessing overall survival in NSCLC patients with cN1-cN3 lymph nodes involvement.

Background: The aim of this retrospective study was to assess the value of F-fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography ([F]FDG PET/CT parameters in cN1-cN3 non-small cell lung cancer (NSCLC) patients.

Materials And Methods: 59 consecutive patients (35 M, 24 F) with NSCLC who underwent pretreatment [F]FDG PET/CT were enrolled to this study. Several primary tumor PET parameters, including the maximum and mean standardized uptake value (SUV and SUV, the metabolic active tumor volume (MTV) and the total lesion glycolysis (TLG = MTVxSUV), were extracted and analysed.

[F]fluorodeoxyglucose positron emission tomography/computed tomography in combination with clinical data in predicting overall survival in non-small-cell lung cancer patients: A retrospective study.

Introduction: Positron emission tomography/computed tomography (PET/CT) has an established role in evaluating patients with lung cancer. The aim of this work was to assess the predictive capability of [F]Fluorodeoxyglucose ([F]FDG) PET/CT parameters on overall survival (OS) in lung cancer patients using an artificial neural network (ANN) in parallel with conventional statistical analysis.

Methods: Retrospective analysis was performed on a group of 165 lung cancer patients (98M, 67F).

Combination of tumor asphericity and an extracellular matrix-related prognostic gene signature in non-small cell lung cancer patients.

One important aim of precision oncology is a personalized treatment of patients. This can be achieved by various biomarkers, especially imaging parameters and gene expression signatures are commonly used. So far, combination approaches are sparse.