The rapid expansion of machine learning is offering a new wave of opportunities for nuclear
medicine. This paper reviews applications of machine learning for the study of attenuation …

Imaging of T-cells and their responses during anti-cancer immunotherapy - PMC Back to Top
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Better biomarkers are needed to predict treatment outcome in non–small cell lung cancer
(NSCLC) patients treated with anti–programmed death-1/programmed death-ligand 1 (PD …

Immune checkpoint inhibitors (ICIs) targeting the programmed cell death (ligand)-1 (PD-[L]
1) axis have emerged at the forefront of cancer treatment. 1 Numerous ICIs have received …

In neuroendocrine neoplasms (NENs), the presence of distant metastases has a severe
impact on survival leading to a relevant decrease in the 5-y survival rate. Here, 90Y …

Simple Summary In cancer treatment, immunotherapy is increasingly becoming important as
a component of first-line treatment and has improved the prognosis of patients since its …

Immuno-positron emission tomography (immunoPET) enables imaging of specific targets
that play a role in targeted therapy and immunotherapy, such as antigens on cell …

Abstract Purpose Zirconium-89-immuno-positron emission tomography (89Zr-immuno-PET)
has enabled visualization of zirconium-89 labelled monoclonal antibody (89Zr-mAb) uptake …

Immune-based treatment approaches are successfully used for the treatment of patients with
cancer. While such therapies can be highly effective, many patients fail to benefit. To provide …

Abstract Objectives Whole body [18 F]-fluorodihydrotestosterone positron emission
tomography ([18 F] FDHT PET) imaging directly targets the androgen receptor and is a …