Abdominal ImagingCalcified Adrenal Lesions: Pattern Recognition Approach on Computed Tomography With Pathologic CorrelationConsul, Nikita MD∗; Venkatesan, Aradhana M. MD†; Blair, Katherine J. MD†; Morshid, Ali MD‡; Menias, Christine O. MD§; Shaaban, Akram M. MBBCH∥; Elmohr, Mohab M. MD∗; Gaballah, Ayman H. MD¶; Elsayes, Khaled M. MD†Author Information From the ∗Department of Diagnostic Radiology, Baylor College of Medicine †Department of Diagnostic Radiology ‡Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX §Department of Diagnostic Radiology, Mayo Clinic, AZ ∥Department of Diagnostic Radiology, University of Utah, Salt Lake City, UT ¶Department of Diagnostic Radiology, University of Missouri-Columbia, Columbia, MO. Received for publication October 4, 2019; accepted October 7, 2019. Correspondence to: Khaled M. Elsayes, MD, Department of Diagnostic Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler St, Houston, TX 77030 (e-mail: [email protected]). The authors declare no conflict of interest. Journal of Computer Assisted Tomography: 3/4 2020 - Volume 44 - Issue 2 - p 178-187 doi: 10.1097/RCT.0000000000000980 Buy Metrics Abstract Incidental adrenal lesions are found in 2% to 10% of the population. The presence and pattern of calcifications, in conjunction with other clinical and imaging features, such as soft tissue attenuation, enhancement, and laterality, can aid in narrowing a differential diagnosis, thereby preventing unnecessary biopsies and avoiding delays in management. Calcified adrenal lesions can be categorized under the clinical and laboratory headings of normal adrenal function, hyperfunctioning adrenal tissue, and adrenal insufficiency. In this review, we provide an algorithmic approach to assessing calcified adrenal nodules with correlative radiologic findings. Copyright © 2020 Wolters Kluwer Health, Inc. All rights reserved.