Roberto Olmos1,2, Nicolás Mertens3, Anand Vaidya4, Thomas Uslar1,2, Paula Fernandez2, Francisco J Guarda1, Álvaro Zúñiga5, Ignacio San Francisco5, Alvaro Huete3, René Baudrand1,2. 1. Department of Endocrinology, Pontificia Universidad Catolica de Chile, Santiago, 8330077, Chile. 2. Program for Adrenal Disorders, CETREN UC, Pontificia Universidad Catolica de Chile, Santiago, 8330077, Chile. 3. Department of Radiology, Pontificia Universidad Catolica de Chile, Santiago, 8330077, Chile. 4. Center for Adrenal Disorders, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA. 5. Department of Urology, Pontificia Universidad Catolica de Chile, Santiago 8330077, Chile.
Abstract
CONTEXT: Incidentally discovered adrenal adenomas are common. Assessment for possible autonomous cortisol excess (ACS) is warranted for all adrenal adenomas, given the association with increased cardiometabolic disease. OBJECTIVE: To evaluate the discriminatory capacity of 3-dimensional volumetry on computed tomography (CT) to identify ACS. METHODS: Two radiologists, blinded to hormonal levels, prospectively analyzed CT images of 149 adult patients with unilateral, incidentally discovered, adrenal adenomas. Diameter and volumetry of the adenoma, volumetry of the contralateral adrenal gland, and the adenoma volume-to-contralateral gland volume (AV/CV) ratio were measured. ACS was defined as cortisol ≥ 1.8 mcg/dL after 1-mg dexamethasone suppression test (DST) and a morning ACTH ≤ 15. pg/mL. RESULTS: We observed that ACS was diagnosed in 35 (23.4%) patients. Cortisol post-DST was positively correlated with adenoma diameter and volume, and inversely correlated with contralateral adrenal gland volume. Cortisol post-DST was positively correlated with the AV/CV ratio (r = 0.46, P < 0.001) and ACTH was inversely correlated (r = -0.28, P < 0.001). The AV/CV ratio displayed the highest odds ratio (1.40; 95% CI, 1.18-1.65) and area under curve (0.91; 95% CI, 0.86-0.96) for predicting ACS. An AV/CV ratio ≥ 1 (48% of the cohort) had a sensitivity of 97% and a specificity of 70% to identify ACS. CONCLUSION: CT volumetry of adrenal adenomas and contralateral adrenal glands has a high discriminatory capacity to identify ACS. The combination of this simple and low-cost radiological phenotyping can supplement biochemical testing to substantially improve the identification of ACS.
CONTEXT: Incidentally discovered adrenal adenomas are common. Assessment for possible autonomous cortisol excess (ACS) is warranted for all adrenal adenomas, given the association with increased cardiometabolic disease. OBJECTIVE: To evaluate the discriminatory capacity of 3-dimensional volumetry on computed tomography (CT) to identify ACS. METHODS: Two radiologists, blinded to hormonal levels, prospectively analyzed CT images of 149 adult patients with unilateral, incidentally discovered, adrenal adenomas. Diameter and volumetry of the adenoma, volumetry of the contralateral adrenal gland, and the adenoma volume-to-contralateral gland volume (AV/CV) ratio were measured. ACS was defined as cortisol ≥ 1.8 mcg/dL after 1-mg dexamethasone suppression test (DST) and a morning ACTH ≤ 15. pg/mL. RESULTS: We observed that ACS was diagnosed in 35 (23.4%) patients. Cortisol post-DST was positively correlated with adenoma diameter and volume, and inversely correlated with contralateral adrenal gland volume. Cortisol post-DST was positively correlated with the AV/CV ratio (r = 0.46, P < 0.001) and ACTH was inversely correlated (r = -0.28, P < 0.001). The AV/CV ratio displayed the highest odds ratio (1.40; 95% CI, 1.18-1.65) and area under curve (0.91; 95% CI, 0.86-0.96) for predicting ACS. An AV/CV ratio ≥ 1 (48% of the cohort) had a sensitivity of 97% and a specificity of 70% to identify ACS. CONCLUSION: CT volumetry of adrenal adenomas and contralateral adrenal glands has a high discriminatory capacity to identify ACS. The combination of this simple and low-cost radiological phenotyping can supplement biochemical testing to substantially improve the identification of ACS.
Authors: Christoph Degenhart; Julia Schneller; Andrea Osswald; Anna Pallauf; Anna Riester; Maximilian F Reiser; Martin Reincke; Felix Beuschlein Journal: Clin Endocrinol (Oxf) Date: 2016-11-17 Impact factor: 3.478
Authors: Scott M Grundy; Neil J Stone; Alison L Bailey; Craig Beam; Kim K Birtcher; Roger S Blumenthal; Lynne T Braun; Sarah de Ferranti; Joseph Faiella-Tommasino; Daniel E Forman; Ronald Goldberg; Paul A Heidenreich; Mark A Hlatky; Daniel W Jones; Donald Lloyd-Jones; Nuria Lopez-Pajares; Chiadi E Ndumele; Carl E Orringer; Carmen A Peralta; Joseph J Saseen; Sidney C Smith; Laurence Sperling; Salim S Virani; Joseph Yeboah Journal: Circulation Date: 2018-11-10 Impact factor: 29.690