The Journal of clinical endocrinology and metabolism · 2017
Performance of 18F-FDG PET/CT in the Characterization of Adrenal Masses in Noncancer Patients: A Prospective Study.
СтатьяМногоцентровое исследованиеПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Guerin Carole, Pattou François, Brunaud Laurent, Lifante Jean-Christophe, Mirallié Eric, Haissaguerre Magalie, Huglo Damien, Olivier Pierre, Houzard Claire, Ansquer Catherine, Hindié Elif, Loundou Anderson, Archange Cendrine, Tabarin Antoine, Sebag Fréderic, Baumstarck Karine, Taïeb David
Аннотация
CONTEXT: Few prospective studies have evaluated the role of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) in the characterization of adrenal masses.
OBJECTIVE: To assess the performance of 18F-FDG PET/CT in the malignancy diagnosis of adrenal masses in noncancer patients.
DESIGN: Prospective multicenter study.
MATERIAL AND METHODS: The study population consisted of 87 patients (87 adrenal masses) referred to endocrine surgeons: 56 with mass diameter ≥40 mm and 31 with a diameter <40 mm and of indeterminate nature based on unenhanced and washout CT attenuation densities. Fourteen patients had hypercortisolism. Adrenal masses were characterized by 18F-FDG PET/CT. Histology was the gold standard for the diagnosis of malignancy. In the absence of pathological proof (n = 23), the nature of the lesion was based on the 12-month imaging follow-up.
RESULTS: Fifteen adrenal masses were classified as malignant (including 11 adrenocortical carcinomas) and 72 as benign. Compared with benign lesions, malignant lesions were larger in size (P = 0.003), had higher unenhanced densities (P = 0.002), lower relative washout values (P = 0.007), and higher 18F-FDG uptake parameters (P < 10-3). The optimal threshold value of (Tumor SUVmax:Liver SUVmax) the ratio for malignancy was >1.5 with sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 86.7%, 86.1%, 56.5%, 96.9%, and 86.2%, respectively.
CONCLUSIONS: Our results show that 18F-FDG PET/CT complements adrenal washout CT in the evaluation of adrenal masses and should be recommended in the evaluation of large and/or indeterminate adrenal masses.
OBJECTIVE: To assess the performance of 18F-FDG PET/CT in the malignancy diagnosis of adrenal masses in noncancer patients.
DESIGN: Prospective multicenter study.
MATERIAL AND METHODS: The study population consisted of 87 patients (87 adrenal masses) referred to endocrine surgeons: 56 with mass diameter ≥40 mm and 31 with a diameter <40 mm and of indeterminate nature based on unenhanced and washout CT attenuation densities. Fourteen patients had hypercortisolism. Adrenal masses were characterized by 18F-FDG PET/CT. Histology was the gold standard for the diagnosis of malignancy. In the absence of pathological proof (n = 23), the nature of the lesion was based on the 12-month imaging follow-up.
RESULTS: Fifteen adrenal masses were classified as malignant (including 11 adrenocortical carcinomas) and 72 as benign. Compared with benign lesions, malignant lesions were larger in size (P = 0.003), had higher unenhanced densities (P = 0.002), lower relative washout values (P = 0.007), and higher 18F-FDG uptake parameters (P < 10-3). The optimal threshold value of (Tumor SUVmax:Liver SUVmax) the ratio for malignancy was >1.5 with sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 86.7%, 86.1%, 56.5%, 96.9%, and 86.2%, respectively.
CONCLUSIONS: Our results show that 18F-FDG PET/CT complements adrenal washout CT in the evaluation of adrenal masses and should be recommended in the evaluation of large and/or indeterminate adrenal masses.
Предметные рубрики MeSH
Adrenal Gland NeoplasmsAdrenal GlandsAgedArea Under CurveBiopsy, NeedleCohort StudiesFemaleFluorodeoxyglucose F18FranceHumansImage Processing, Computer-AssistedImmunohistochemistryMaleMiddle AgedPositron Emission Tomography Computed TomographyProspective StudiesROC CurveSensitivity and SpecificityStatistics, Nonparametric