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Predicting malignancy in patients with adrenal tumors using 18 F-FDG-PET/CT SUVmax.

Authors :
Vos EL
Grewal RK
Russo AE
Reidy-Lagunes D
Untch BR
Gavane SC
Boucai L
Geer E
Gopalan A
Chou JF
Capanu M
Strong VE
Source :
Journal of surgical oncology [J Surg Oncol] 2020 Dec; Vol. 122 (8), pp. 1821-1826. Date of Electronic Publication: 2020 Sep 10.
Publication Year :
2020

Abstract

Background and Objectives: <superscript>18</superscript> F-fluorodeoxyglucose positron emission tomography/computed tomography ( <superscript>18</superscript> F-FDG-PET/CT) parameters may help distinguish malignant from benign adrenal tumors, but few have been externally validated or determined based on definitive pathological confirmation. We determined and validated a threshold for <superscript>18</superscript> F-FDG-PET/CT maximum standard uptake value (SUVmax) in patients who underwent adrenalectomy for a nonfunctional tumor.<br />Methods: Database review identified patients with <superscript>18</superscript> F-FDG-PET/CT images available (training cohort), or only SUVmax values (validation cohort). Discriminative accuracy was assessed by area under the curve (AUC), and the optimal cutoff value estimated by maximally selected Wilcoxon rank statistics.<br />Results: Of identified patients (n = 171), 86 had adrenal metastases, 20 adrenal cortical carcinoma, and 27 adrenal cortical adenoma. In the training cohort (n = 96), SUVmax was significantly higher in malignant versus benign tumors (median 8.3 vs. 3.0, p < .001), with an AUC of 0.857. Tumor size did not differ. The optimal cutoff SUVmax was 4.6 (p < .01). In the validation cohort (n = 75), this cutoff had a sensitivity of 75% and specificity 55%.<br />Conclusions: <superscript>18</superscript> F-FDG-PET/CT SUVmax was associated with malignancy. Validation indicated that SUVmax ≥ 4.6 was suggestive of malignancy, while lower values did not reliably predict benign tumor.<br /> (© 2020 Wiley Periodicals LLC.)

Details

Language :
English
ISSN :
1096-9098
Volume :
122
Issue :
8
Database :
MEDLINE
Journal :
Journal of surgical oncology
Publication Type :
Academic Journal
Accession number :
32914407
Full Text :
https://doi.org/10.1002/jso.26203