Calcified Adrenal Lesions: Pattern Recognition Approach on Computed Tomography With Pathologic Correlation

Nikita Consul, Aradhana M. Venkatesan, Katherine J. Blair, Ali Morshid, Christine O. Menias, Akram M. Shaaban, Mohab M. Elmohr, Ayman H. Gaballah, Khaled M. Elsayes

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)178-187
Number of pages10
JournalJournal of computer assisted tomography
Volume44
Issue number2
DOIs
StatePublished - Mar 1 2020

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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