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Congress: ECR25
Poster Number: C-27014
Type: Poster: EPOS Radiologist (scientific)
Authorblock: I. Stamouli1, I. Gatos1, P. Katsakiori1, S. Tsantis1, T. Kalathas2, V. Chatzipavlidou2, N. Papathanasiou1, G. Kagadis1; 1Rion/GR, 2Thessaloniki/GR
Disclosures:
Ioanna Stamouli: Nothing to disclose
Ilias Gatos: Nothing to disclose
Paraskevi Katsakiori: Nothing to disclose
Stavros Tsantis: Nothing to disclose
Theodoros Kalathas: Nothing to disclose
Vasiliki Chatzipavlidou: Nothing to disclose
Nikos Papathanasiou: Nothing to disclose
George Kagadis: Nothing to disclose
Keywords: Artificial Intelligence, Molecular imaging, Nuclear medicine, PET-CT, CAD, Molecular imaging, Segmentation, Cancer, Molecular, genomics and proteomics, Multidisciplinary cancer care
Purpose

Prostate Cancer (PCa) represents the most prevalent malignancy in men and ranks as the second most common cause of death [1]. A significant percentage of patients, ranging from 20% to 50%, will experience disease recurrence, which is characterized by elevated levels of Prostate Specific Antigen (PSA). This state is clinically defined as biochemical recurrence (BCR) (PSA > 0.2 ng/ml) [2]. During BCR, metastases are likely to occur in different anatomical regions. Although rising PSA levels indicate BCR, they do not provide information on the location or extent of the lesions. Consequently, advanced imaging modalities, such as PET/CT are required [3–5]. Prostate-specific membrane antigen (PSMA), a type II transmembrane glycoprotein, is markedly overexpressed in prostate cancer cells relative to benign tissue. Radiolabeling PSMA with 18F enables the detection of metastatic foci through PET imaging [6,7]. However, false positive results in 18F-PSMA imaging, particularly observed in the ribs and pelvic bones, present significant diagnostic challenges and warrant careful consideration [8]. 

GALLERY