Adrenal Imaging Algorithms
Adrenal Imaging Algorithms is a systematic methodological framework designed to guide the diagnostic evaluation and characterization of adrenal masses through sequential imaging modalities and evidence-based decision rules.
54
Publications
2.8K
Citations
343
Authors
139
Institutions
Publications per year
2017–2026
21
Parents
54
Adrenal Masses: Characterization with Combined Unenhanced and Delayed Enhanced CT
Elaine M. Caoili, Melvyn Korobkin, Isaac R. Francis et al. · Radiology · 2002 · 692 citations
Dual-Energy CT for Characterization of Adrenal Nodules: Initial Experience
Rajan T. Gupta, Lisa M. Ho, Daniele Marin et al. · American Journal of Roentgenology · 2010 · 115 citations
1–5 of 54
343
The University of Texas MD Anderson Cancer Center, United States
3 publications · 114 citations
3
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2
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2
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2
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The University of Texas Southwestern Medical Center, United States
2 publications · 140 citations
2
h-index
1–5 of 343
139
The University of Texas MD Anderson Cancer Center
Houston, United States
4 h-index
23 publications
872 citations
Mayo Clinic in Arizona
Scottsdale, United States
3 h-index
9 publications
233 citations
Duke Medical Center
Durham, United States
2 h-index
10 publications
870 citations

Sichuan University
Chengdu, China
2 h-index
17 publications
259 citations
The University of Texas Southwestern Medical Center
Dallas, United States
2 h-index
10 publications
620 citations
Cleveland Clinic
Cleveland, United States
2 h-index
4 publications
283 citations
West China Hospital of Sichuan University
Chengdu, China
2 h-index
17 publications
259 citations
Mayo Clinic in Florida
Jacksonville, United States
2 h-index
3 publications
93 citations
1–8 of 139
AJR · 12 publications · 896 citations
12
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Repository · 6 publications · 151 citations
6
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EJR · 4 publications · 146 citations
4
h-index
4 publications · 81 citations
4
h-index
4 publications · 112 citations
4
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1–5