Musculoskeletal ImagingArticular Findings on Chest Computed Tomography: An Algorithmic Approach for RadiologistsMansoori, Bahar MD∗; Kosaraju, Vijaya MD†; Yoon, James MD‡; Chalian, Hamid MD§; Shomal Zadeh, Firoozeh MD∥; Vo, Kiet V. MD∥; Shafiei, Mehrzad MD∥; Rajiah, Prabhakar MD¶; Chalian, Majid MD∥ Author Information From the ∗Division of Abdominal Imaging, Department of Radiology, University of Washington, Seattle, WA † Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH ‡ Department of Radiology, UT Southwestern Medical Center, Dallas, TX § Division of Cardiothoracic Imaging, Department of Radiology ∥ Division of Musculoskeletal Imaging and Intervention, Department of Radiology, University of Washington, Seattle, WA ¶ Cardiovascular Imaging Section, Department of Radiology, Mayo Clinic, Rochester, MN. Received for publication December 14, 2021; accepted April 10, 2022. Correspondence to: Majid Chalian, MD, Musculoskeletal Imaging and Intervention, University of Washington, UW Radiology-Roosevelt Clinic, 4245 Roosevelt Way NE, Box 354755, Seattle, WA 98105 (e-mail: [email protected]). The authors declare no conflict of interest. Journal of Computer Assisted Tomography: 11/12 2022 - Volume 46 - Issue 6 - p 914-922 doi: 10.1097/RCT.0000000000001364 Buy Metrics Abstract Chest computed tomography (CT) is one of the most frequently performed imaging studies. Incidental osseous and articular findings are commonly encountered in chest CTs in daily practice. The spectrum of findings is broad, varying from benign to malignant, and interpretation of these incidental musculoskeletal findings could be challenging for radiologists. In this review, we provide a systematic algorithmic approach for the diagnosis of common articular findings seen on chest CT with recommendations for appropriate follow-up evaluation. Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.