Journal of International Medical Research · 2010 · 16 citations · 24 references
MedicineNuclear MedicineRadiologyDiagnostic ImagingDiagnostic RadiologyEndocrine OncologyAdrenal ImagingAdrenal Mass EvaluationAdrenal TumorsEndocrine Tumor ImagingPositron Emission TomographyTumor DetectionAdrenal NodulesAdrenal Tumor DiagnosisBenign Adrenal Lesion AssessmentDiagnostic Accuracy StudiesDiagnostic Testing AccuracyMalignant Adrenal Lesion AssessmentNonfunctional Adrenal TumorsPositron Emission Tomography Quantification
The ability of integrated (18)F-fluorodeoxyglucose positron emission tomography and computed tomography (FDG PET/CT) to distinguish between benign and malignant incidental non-secreting adrenal masses was evaluated in cancer patients. Results were compared with those of CT and shift magnetic resonance imaging (MRI). A total of 1832 cancer patients who had undergone FDG PET/CT scans were retrospectively evaluated. Visual interpretation, tumour maximum standardized uptake value (SUV(max)), liver SUV(max) and tumour/liver SUV(max) ratios were correlated with the findings of CT, shift MRI and final diagnosis (based on biopsy or clinical/radiological follow-up). A total of 109 adrenal masses were found: 49 were malignant and 60 were benign on final diagnosis. A tumour/liver SUV(max) ratio threshold of 1.0 was more accurate in differentiating the tumour type than tumour SUV(max) or visual interpretation alone. Diagnostic accuracy of CT and shift MRI (92 - 97%) was similar to that for FDG PET/CT (94 - 97%). In conclusion, FDG PET/CT accurately characterizes adrenal tumours, with excellent sensitivity and specificity. Use of 1.0 as the threshold for the tumour/liver SUV(max) ratio seems to be promising for distinguishing benign from malignant adrenal masses in cancer patients.
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Metastases in carcinoma.Analysis of 1000 autopsied cases
Herbert L. Abrams, Robert Spiro, Norman Goldstein · Cancer · 1950 · 1.9K citations · Full text
Adrenal Masses: Characterization with Combined Unenhanced and Delayed Enhanced CT
Elaine M. Caoili, Melvyn Korobkin, Isaac R. Francis et al. · Radiology · 2002 · 692 citations
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