BACKGROUND: @entity1636 ( @entity1636 ) is a rare but lethal malignancy with few reliable prognostic markers. FDG-PET metabolic parameters have been shown to predict survival in several @entity5 . The objective was to determine if metabolic @entity5 volume (MTV), total lesion glycolysis (TLG), and maximum standardized uptake value (SUVmax) could serve as prognostic markers in @entity1 with @entity1636 . METHODS: A total of 30 @entity1 with @entity1636 prospectively underwent 18F-FDG PET/CT prior to treatment. Whole body MTV, TLG, and SUVmax were measured by a semiautomatic method. A median cutoff was used to determine an association with @entity1349 ( @entity1349 ) from the time of 18F-FDG PET/CT by the Kaplan-Meier method. RESULTS: @entity1 with high whole body MTV (>87.0 mL),TLG (>229.4 SUVlbm*mL), or SUVmax (>8.9 SUV) had a worse @entity1349 compared with those with low whole body MTV (median @entity1349 , 24 vs 45.1 months, p < .01), TLG (median @entity1349 , 24 vs 40.3 months, p < .005), or SUVmax (median @entity1349 , 23.7 vs 35.5 months, p < .02). In @entity1 who had operable disease (n = 23), high whole body MTV (>87.0 mL) and TLG (>229.4 SUVlbm*mL) had a worse @entity1349 compared with those with low whole body MTV (median @entity1349 , 25.1 vs 45.1 months, p < .05) and TLG (median @entity1349 , 25.1 vs 40.3 months, p < .05), but a high SUVmax (>8.9 SUV) was not associated with worse @entity1349 (p = .11). CONCLUSIONS: @entity1 with @entity1636 and a high whole body MTV, TLG, and SUVmax have a worse prognosis and @entity1349 . Measurement of whole body MTV and TLG may be helpful for guiding therapy for @entity1 with @entity1636 .

Whole Body Metabolic Tumor Volume and Total Lesion Glycolysis Predict Survival in XXXX with @entity1636 .

@entity5 :: ('MESH:D009369', 'Disease') :: ['tumor', 'cancers'] @entity1 :: ('9606', 'Species') :: ['Patients', 'patients'] @entity1636 :: ('MESH:D018268', 'Disease') :: ['Adrenocortical carcinoma', 'ACC'] @entity1349 :: ('MESH:D011475', 'Disease') :: ['OS', 'overall survival']
@entity1 :: (9606,Species) :: ['Patients']
