No abstract

Relevance: Epithelial ovarian cancer (EOC) is the most lethal gynecological malignancy, with relapse occurring in about 70% of advanced cases with poor prognosis. The study aimed to assess functional visceral fat activity (VAT) evaluated by 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) as a predictor of metastases in epithelial ovarian cancer. Methods: We assessed 53 patients with histologically confirmed EOC who underwent 18F-FDG PET/CT after a surgical treatment and courses of chemotherapy. Age, histology, stage, and tumor grade were recorded. Functional VAT was measured by maximum standardized uptake value (SUVmax) using 18F-FDG PET/CT and tested as a predictor of later metastases in eight abdominal locations and pelvis cavity in the adjusted regression models. We also identified the best areas under the curve (AUC) for SUVmax with the corresponding sensitivity (Se) and specificity (Sp). Results: In both adjusted for regression models and ROC analysis, 18F-FDG accumulation in RE (cut-off SUVmax 1.18; Se 64%; Sp 64%; AUC 0.669; p=0.035) could predict later metastases in EOC patients, as opposed to age, sex, primary tumor location, tumor grade, and histology. Conclusions: VAT SUVmax is significantly associated with later metastases in EOC patients and can be used as their predictor

Background: To evaluate functional visceral adipose tissue (VAT) activity assessed by 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) as a predictive factor of metastases in colorectal cancer (CRC) patients. Methods: We reviewed study protocols and PET/CT data of 534 CRC patients; 474 patients were subsequently excluded for various reasons. The remaining 60 patients with histologically confirmed adenocarcinoma were then prospectively assessed and were exposed to 18F-FDG PET/CT after a surgical treatment and chemoradiotherapy. Age, histology, stage, and tumor grade data were recorded. Functional VAT activity was verified with maximum standardized uptake value (SUVmax) using 18F-FDG PET/CT and tested as a predictive factor of later metastases in eight subdomains of abdominal regions (RE – epigastric region, RLH – left hypochondriac region, RRL – right lumbar region, RU – umbilical region, RLL – left lumbar region, RRI – right inguinal region, RP – hypogastric (pubic) region, RLI – left inguinal region) and pelvic cavity (P) in the adjusted regression models. In addition, we studied the best areas under the curve (AUC) for SUVmax with the corresponding sensitivity (Se) and specificity (Sp). Results: In both adjusted for age regression models and receiver operating characteristic (ROC) curve analysis, 18F-FDG accumulation in RLH (cut-off SUVmax 0.74; Se 75%; Sp 61%; AUC 0.668; p=0.049), RU (cut-off SUVmax 0.78; Se 69%; Sp 61%; AUC 0.679; p=0.035), RRL (cut-off SUVmax 1.05; Se 69%; Sp 77%; AUC 0.682; p=0.032) and RRI (cut-off SUVmax 0.85; Se 63%; Sp 61%; AUC 0.672; p=0.043) could predict later metastases in CRC patients, as opposed to age, sex, primary tumor location, tumor grade and histology. Conclusions: Functional VAT activity was importantly related to later metastases in CRC patients and can be used as their predictive factor.

Relevance: Epithelial ovarian cancer (EOC) is the most lethal gynecological malignancy, with relapse occurring in about 70% of advanced cases with poor prognosis. The study aimed to assess functional visceral fat activity (VAT) evaluated by 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) as a predictor of metastases in epithelial ovarian cancer. Methods: We assessed 53 patients with histologically confirmed EOC who underwent 18F-FDG PET/CT after a surgical treatment and courses of chemotherapy. Age, histology, stage, and tumor grade were recorded. Functional VAT was measured by maximum standardized uptake value (SUVmax) using 18F-FDG PET/CT and tested as a predictor of later metastases in eight abdominal locations and pelvis cavity in the adjusted regression models. We also identified the best areas under the curve (AUC) for SUVmax with the corresponding sensitivity (Se) and specificity (Sp). Results: In both adjusted for regression models and ROC analysis, 18F-FDG accumulation in RE (cut-off SUVmax 1.18; Se 64%; Sp 64%; AUC 0.669; p=0.035) could predict later metastases in EOC patients, as opposed to age, sex, primary tumor location, tumor grade, and histology. Conclusions: VAT SUVmax is significantly associated with later metastases in EOC patients and can be used as their predictor