Current Use of PSMA in Prostate Cancer Treatment
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Therapy".
Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 16567
Special Issue Editors
Interests: molecular cancer PET imaging; radionuclide therapy; prostate cancer
Special Issue Information
Dear Colleagues,
Prostate specific membrane antigen (PSMA) targeted prostate cancer (PCa) PET -imaging has rapidly replaced other prostate cancer targeted PET imaging tracers. With this more sensitive tracer the location of disease activation can be shown with significantly lower PSA values in patients with disease recurrence. PSMA targeted imaging appears to be very sensitive method for detecting lymph node and bone metastases also in initial staging changing the management of many patients.
In the light of recent data, replacing traditional bone scan and abdominopelvic computed tomography (CT) by more sensitive PSMA PET-imaging might be considered especially in patient with high-risk patients although it is not currently known whether this approach also has impact on patient outcome. While PSMA PET imaging is very sensitive method in detecting prostate cancer metastases and it has in general good positive and negative predictive value, it is challenged by detection sensitivity of small lymph node metastases and false positive bone activity.
PSMA targeted imaging has also brought theragnostic approach to PCa treatment with beta and alfa emitting 177Lu- or 225Ac-PSMA targeted therapy. Initial outcome data from177Lu-PSMA treatment of castration resistant PCa is very promising. Currently it is not known how to optimally choose the patients who benefit most from radionuclide therapy and whether better outcome would be gained if radionuclide therapy is provided already in castration sensitive disease phase.
The aim of this special issue is to focus in the Current use of PSMA -targeted imaging in Prostate Cancer Treatment to provide insight what is hot and currently cooking in staging, re-staging, therapy assessment, Theranostics, tracer development, radiomics and artificial intelligence research in this field.
Prof. Dr. Jukka Kemppainen
Prof. Dr. Samer Ezziddin
Guest Editors
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