Abstract

Background

The utility of dual-phase enhanced computerized tomography (CT) scan in distinguishing adrenal ganglioneuromas from lipid-poor adenomas has not been reported. We aimed to retrospectively compare dual-phase enhanced CT findings which were helpful in distinguishing adrenal ganglioneuromas from adrenal lipid-poor adenomas.

Methods

We estimated the dual-phase enhanced CT findings of 258 adrenal masses (42 ganglioneuromas, 216 lipid-poor adenomas) in 258 patients from July 2008 to July 2020 with ganglioneuromas and July 2016 to July 2020 with lipid-poor adenomas. The CT features between ganglioneuromas and lipid-poor adenomas were compared using independent two-sample t test, Mann–Whitney test, and ROC analysis.

Results

Significant differences were detected in CT value of unenhanced (CTU), CT value of arterial phase (CTA), CT value of venous phase (CTV), degree of enhancement in arterial phase, degree of enhancement in portal venous phase, age, tumor size [longest dimension, shortest dimension, mean dimension], shape, calcification between the ganglioneuroma and lipid-poor adenoma groups (P < 0.05). The results of receiver operating characteristics (ROC) analyses showed that areas under ROC curves of CTU, CTA and CTV were 0.713, 0.878, and 0.914, respectively. When the cut-off values were set at 22.5 HU, 51.5 HU, and 53.5 HU for CTU, CTA, and CTV, respectively, the three parameters had a sensitivity of 46.8%, 67.6%, and 88.0% and a specificity of 100%, 100%, and 88.1% in distinguishing ganglioneuromas from lipid-poor adenomas.

Conclusions

Dual-phase enhanced abdominal CT can exhibit some of the primary imaging characteristics of ganglioneuromas and lipid-poor adenomas used to distinguish between these two entities.

Details

Title
The application of dual-phase enhanced CT scan in distinguishing adrenal ganglioneuromas from adrenal lipid-poor adenomas
Author
Yu, Huajun 1 ; Wang, Jian 2 ; Niu, Zhongfeng 3 ; Shao, Meihua 2   VIAFID ORCID Logo 

 Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Department of Radiology, Hangzhou, China (GRID:grid.13402.34) (ISNI:0000 0004 1759 700X) 
 Tongde Hospital of Zhejiang Province, Department of Radiology, Hangzhou, China (GRID:grid.417168.d) (ISNI:0000 0004 4666 9789) 
 Sir Run Run Shaw Hospital of Zhejiang University School of Medicine, Department of Radiology, Hangzhou, China (GRID:grid.415999.9) (ISNI:0000 0004 1798 9361) 
Pages
180
Publication year
2023
Publication date
Dec 2023
Publisher
Springer Nature B.V.
ISSN
0378603X
e-ISSN
20904762
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2881060347
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.