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Cited by 253

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

Adrenal Imaging

Open access
Blake, Michael A., Cronin, Carmel G., Boland, Giles W.·2010·American Journal of Roentgenology
DOI 10.2214/ajr.10.4547
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Abstract

OBJECTIVE: Adrenal nodules are frequently encountered on current high-resolution imaging, and accurate characterization of such lesions is critical for appropriate patient care. Our article highlights how imaging techniques such as CT densitometry, CT washout characteristics, chemical shift MRI, PET, and PET/CT help characterize most adrenal lesions. We focus on these techniques as well as specifically, because of space constraints, the varied imaging appearances of adrenocortical carcinoma, pheochromocytoma, and lymphoma on these techniques. CONCLUSION: The imaging characterization of adrenal lesions has continued to advance over the past decade as new technologies have evolved. CT, MRI, PET, and PET/CT are now established clinical techniques capable of differentiating benign from malignant adrenal lesions.

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Crossref · 10.2214/ajr.10.4547

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Metadata

Authors
Blake, M. A., Cronin, C. G., & Boland, G. W.
Venue
American Journal of Roentgenology
Publisher
American Roentgen Ray Society
Published
2010-06
Volume
194
Issue
6
Pages
1450-1460
ISSN
  • 0002-9580 (ISSN-L)
  • 0361-803X
  • 1546-3141
DOI
10.2214/ajr.10.4547
OpenAlex
W4250923963
Cited by
253
References
66
FWCI
16.77
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Adrenal Imaging. https://app.cochat.ai/papers/10.2214/ajr.10.4547
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Blake, M. A., Cronin, C. G., & Boland, G. W. (2010). Adrenal Imaging. American Journal of Roentgenology. https://doi.org/10.2214/ajr.10.4547

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.