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Abdominal Radiology
Published in: Abdominal Radiology 9/2020

01-09-2020 | Letter to the Editor

Letter to the editor response

Authors: Daniel I. Glazer, William W. Mayo-Smith

Published in: Abdominal Radiology | Issue 9/2020

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Excerpt

We thank the authors for their detailed summary of the role for CT histogram analysis for workup of incidentally discovered adrenal nodules. Their letter clearly outlines the benefits and limitations of this technique. …
Literature
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Bae KT, Fuangtharnthip P, Prasad SR, Joe BN, Heiken JP. Adrenal masses: CT characterization with histogram analysis method. Radiology. 2003;228(3):735-42.CrossRef
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Halefoglu AM, Bas N, Yasar A, Basak M. Differentiation of adrenal adenomas from nonadenomas using CT histogram analysis method: a prospective study. Eur J Radiol. 2010;73(3):643-51.CrossRef
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Lin MF, Chang-Sen LQ, Heiken JP, Pilgram TK, Bae KT. Histogram analysis for characterization of indeterminate adrenal nodules on noncontrast CT. Abdom Imaging. 2015;40(6):1666-74.CrossRef
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Remer EM, Motta-Ramirez GA, Shepardson LB, Hamrahian AH, Herts BR. CT histogram analysis in pathologically proven adrenal masses. AJR Am J Roentgenol. 2006;187(1):191-6.CrossRef
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Jhaveri KS, Wong F, Ghai S, Haider MA. Comparison of CT histogram analysis and chemical shift MRI in the characterization of indeterminate adrenal nodules. AJR Am J Roentgenol. 2006;187(5):1303-8.CrossRef
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Hsu LD, Wang CL, Clark TJ. Characterization of Adrenal Adenoma by Gaussian Model-Based Algorithm. Curr Probl Diagn Radiol. 2016;45(5):312-8.CrossRef
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Clark TJ, Hsu LD, Hippe D, Cowan S, Carnell J, Wang CL. Evaluation of diagnostic accuracy: multidetector CT image noise correction improves specificity of a Gaussian model-based algorithm used for characterization of incidental adrenal nodules. Abdom Radiol (NY). 2019;44(3):1033-43.CrossRef
8.
Metadata
Title
Letter to the editor response
Authors
Daniel I. Glazer
William W. Mayo-Smith
Publication date
01-09-2020
Publisher
Springer US
Published in
Abdominal Radiology / Issue 9/2020
Print ISSN: 2366-004X
Electronic ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-020-02666-5

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