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Updated: Dec 25, 2025

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
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Calcified Adrenal Lesions: Pattern Recognition Approach on Computed Tomography With Pathologic Correlation.

Nikita Consul1, Aradhana M Venkatesan2, Katherine J Blair2

  • 1From the Department of Diagnostic Radiology, Baylor College of Medicine.

Journal of Computer Assisted Tomography
|March 21, 2020
PubMed
Summary

Calcified adrenal lesions are common incidental findings. Radiologic features like calcification patterns help diagnose adrenal nodules, avoiding unnecessary biopsies and guiding management.

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Area of Science:

  • Radiology
  • Endocrinology
  • Pathology

Background:

  • Incidental adrenal lesions are detected in 2-10% of the general population.
  • Adrenal calcifications are a key feature in characterizing these lesions.
  • Accurate diagnosis prevents unnecessary interventions and treatment delays.

Purpose of the Study:

  • To present an algorithmic approach for evaluating calcified adrenal nodules.
  • To correlate radiologic findings with clinical and laboratory data.
  • To aid in the differential diagnosis of adrenal lesions.

Main Methods:

  • Review of radiologic features of calcified adrenal lesions.
  • Correlation with clinical presentation (normal function, hyperfunction, insufficiency).
  • Discussion of imaging characteristics like attenuation and enhancement patterns.

Main Results:

  • Calcification patterns, along with other imaging features, are crucial for differential diagnosis.
  • An algorithmic approach can systematically assess these lesions.
  • Radiologic assessment can guide management decisions.

Conclusions:

  • Radiologic assessment of calcified adrenal nodules is essential for accurate diagnosis.
  • An algorithmic approach improves diagnostic efficiency and patient management.
  • Understanding imaging features prevents unnecessary biopsies and delays.