Work

The frequency and characterization of ovarian metastasis from nonovarian cancers using 18F-fluorodeoxyglucose PET/CT

Year: 2024

Type: article

Abstract: Objective Assessing the frequency of ovarian metastasis from nonovarian cancer (N-OC) and evaluate whether any PET-derived parameters can distinguish metastasis from primary ovarian cancer. Methods Patients undergoing FDG PET/CT due to suspected ovarian malignancy from 2006 to 2021 with subsequent histologically proven ovarian metastasis from N-OC were included. Exclusion criteria included ovarian metastasis diagnosed prior to PET/CT or >3 months after. Baseline characteristics were collected from electronic medical records, and PET/CT data were analysed using Siemens syngo.via software. Results Patients (N =1502) were scanned for suspected ovarian malignancies. Sixty-five patients (4%) were included. The most common origin of metastases was lower gastrointestinal cancer (n = 29, 45%), followed by gynaecological cancer (n = 10, 15%) and breast cancer (n = 9, 14%). Among patients with previous cancer history (n = 26), 18 experienced ovarian metastases from a known cancer. Time from primary diagnosis to ovarian metastasis ranged from 47 days to 11.4 years. There were no differences in maximized standardized uptake value, peak standardized uptake value, or clinical parameters between ovarian metastases and primary ovarian tumours. Conclusion The frequency of ovarian metastases from N-OCs was 4%, the most common origin of metastases was lower gastrointestinal tract. Previous cancer history is an important factor in assessing an unknown tumour of the ovary, as metastases can occur several years later. No PET or clinical parameters were useful for separating primary ovarian cancer from ovarian metastases. Advances in knowledge The study finds a low frequency of ovarian metastasis from N-OC and indicates that no PET or clinical parameters can distinguish ovarian metastasis from primary ovarian cancer.

Source: BJR|Open

DOI: 10.1093/bjro/tzaf004

Authors: Nikoline D Frølich, Jeannette D Andersen, Helle D Zacho

Institutions: Aalborg University Hospital, Aalborg University

Language: English

Topic: Ovarian cancer diagnosis and treatment

Subfield: Reproductive Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,416