PSMA-PET Imaging

Prostate cancer is the second most frequent cancer diagnosis made in men and the fifth leading cause of death worldwide. Accurate diagnostic imaging is a prerequisite for tailored and personalized treatment approaches in patients with all stages of prostate cancer by (i) providing a good overview of the disease status before, during and after treatment, (ii) enabling accurate segmentation of PCa lesion and (iii) enabling non-invasive tumor characterization using radiomics or artificial intelligence tools.

Prostate Specific Membrane Antigen (PSMA) has been found to be selectively overexpressed in PCa cells and can be traced by radio-labelled peptide ligands in positron emission tomography (PSMA-PET). First studies suggested excellent diagnostic accuracy and a major impact on therapeutic approaches for PSMA-PET in newly diagnosed, recurrent or metastatic prostate cancer patients.

The goal of this Research Topic is, thus, to concentrate excellent and multidisciplinary scientific contributions on the growing evidence of integrating PSMA-PET imaging in personalized prostate cancer treatment concepts including radiotherapy, surgery, focal therapies, systemic drugs and radioligands. We welcome authors from all disciplines involved in this topic to submit Original Research, (Systematic) Reviews, and Case Reports from clinical and preclinical standpoints that handle PSMA-PET imaging for prostate cancer patients from the diagnostic or therapeutic perspective. Economic analysis, cost effectiveness studies, comparative effectiveness studies, and health services research-related projects are also welcome.

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• After submission, an acknowledgement with manuscript number is sent to the corresponding author within 7 working days.
• A 21 day window time frame is allotted for peer-review process wherein multiple experts are contacted.
• Author proof is generated within 7 working days after the acceptance decision.

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Media Contact:
Nimmi Anna
Journal Manager
Allied Journal of Medical Research
Email: medicalresearch@emedsci.com