Calcified Adrenal Lesions: Pattern Recognition Approach on Computed Tomography With Pathologic Correlation
| Autor: | Akram M. Shaaban, Christine O. Menias, Mohab M. Elmohr, Ayman H. Gaballah, Khaled M. Elsayes, Aradhana M. Venkatesan, Katherine J. Blair, Ali Morshid, Nikita Consul |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
education.field_of_study
medicine.medical_specialty medicine.diagnostic_test business.industry Population Adrenal Gland Neoplasms Soft tissue Computed tomography medicine.disease Normal adrenal function Pathologic correlation Adrenal tissue Adrenal Glands Adrenal insufficiency medicine Humans Radiographic Image Interpretation Computer-Assisted Radiology Nuclear Medicine and imaging Radiology Differential diagnosis business education Tomography X-Ray Computed |
| Zdroj: | Journal of computer assisted tomography. 44(2) |
| ISSN: | 1532-3145 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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