| Dual-Energy CT for Characterization of the Incidental Adrenal Mass: Preliminary Observations. | |
| | |
MedLine Citation:
|
PMID: 22194489 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
|
OBJECTIVE: The purpose of our study was to evaluate the accuracy of virtual unenhanced images reconstructed from contrast-enhanced dual-energy CT for the differentiation of incidental adrenal masses in comparison with standard unenhanced CT. MATERIALS AND METHODS: One hundred-forty patients (mean age, 74 ± 9 years) underwent unenhanced and contrast-enhanced CT of the abdomen, the latter acquired with dual-energy for reconstruction of virtual unenhanced images. Two blinded and independent readers (R1 and R2) measured attenuation of each incidental adrenal mass on standard unenhanced and virtual unenhanced images using an optimized dual-energy three-material decomposition algorithm. RESULTS: Fifty-one incidental adrenal masses were found in 42 of 135 patients (31%); 39 incidental adrenal masses were ≥ 1 cm. On the basis of unenhanced CT, 29 of 51 incidental adrenal masses and 22 of 39 incidental adrenal masses ≥ 1 cm were classified as benign (HU < 10). Virtual unenhanced image quality was rated as good or with mild impairment (2.45 ± 0.83 for R1, 2.45 ± 0.99 for R2). Image noise was 12.7 ± 3.6 HU in unenhanced images and 8.8 ± 2.0 HU in virtual unenhanced images (p < 0.001). There was no significant difference in incidental adrenal mass attenuation between unenhanced and virtual unenhanced images for all incidental adrenal masses (5.9 ± 21.0 HU vs 7.0 ± 20.6 HU, p = 0.48) and for those ≥ 1 cm (6.6 ± 18.5 HU vs 7.9 ± 18.3 HU, p = 0.87). Sensitivity, specificity, and accuracy of virtual unenhanced images for the characterization of incidental adrenal masses as probably benign were 76%, 82%, and 78% for R1 and 79%, 95%, and 86% for R2, respectively. For incidental adrenal masses ≥ 1 cm, sensitivity, specificity, and accuracy increased to 95%, 100%, and 97% for R1 and 91%, 100%, and 95% for R2. CONCLUSION: Reconstruction of virtual unenhanced images from contrast-enhanced dual-energy CT of the abdomen allows the characterization of the incidental adrenal masses with a good accuracy compared with standard unenhanced CT, with the most favorable results in incidental adrenal masses measuring ≥ 1 cm. |
| | |
Authors:
|
Ralph Gnannt; Michael Fischer; Robert Goetti; Christoph Karlo; Sebastian Leschka; Hatem Alkadhi |
Related Documents
:
|
22204209 - Acute vertebral compression fracture: differentiation of malignant and benign causes by... 16442239 - Feasibility of a novel deformable image registration technique to facilitate classifica... 17077649 - Direct anatomical localization of the subthalamic nucleus on ct with comparison to scha... 18982689 - Non-rigid image registration with salphas filters. 18836389 - Accuracy of image-guided surgical systems at the lateral skull base as clinically asses... 22110859 - Evaluation of the magnetic field requirements for nanomagnetic gene transfection. 21267199 - Neuroradiological imaging. 17055299 - Arthroscopic treatment of posterior glenohumeral joint subluxation resulting from brach... 16714639 - The celiac ganglia: anatomic study using mri in cadavers. |
Publication Detail:
|
Type: Journal Article |
Journal Detail:
|
Title: AJR. American journal of roentgenology Volume: 198 ISSN: 1546-3141 ISO Abbreviation: AJR Am J Roentgenol Publication Date: 2012 Jan |
Date Detail:
|
Created Date: 2011-12-23 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 7708173 Medline TA: AJR Am J Roentgenol Country: United States |
Other Details:
|
Languages: eng Pagination: 138-44 Citation Subset: AIM; IM |
Affiliation:
|
Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, CH-8091 Zurich, Switzerland. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Pseudoenhancement of Renal Cysts: Influence of Lesion Size, Lesion Location, Slice Thickness, and Nu...
Next Document: Quality Improvement in 3D Imaging.