Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 
 
ORIGINAL ARTICLE
Ahead of Print

Gemstone spectral imaging dual-energy computed tomography for differentiation of renal cell carcinoma and minimal-fat renal angiomyolipoma


1 Department of Radiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
2 Department of Computed Tomography, Jiaozuo People's Hospital, Jiaozuo 454150, Henan, China
3 Department of Endocrinology, First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China

Correspondence Address:
Zhizhen Li,
Department of Endocrinology, First Affiliated Hospital of Zhengzhou University, No. 1 Jianshe Dong Road, Zhengzhou 450052, Henan
China
Login to access the Email id

Source of Support: None, Conflict of Interest: None

Purpose: To investigate the values of gemstone spectral imaging (GSI)-dual-energy computed tomography (DECT) in differentiation of renal cell carcinoma (RCC) and minimal-fat renal angiomyolipoma (MF-RAML). Patients and Methods: Twenty-one patients with ischemic RCC and 19 patients with MF-RAML were enrolled in this study. GSI was performed on them, and the spectrum signs were analyzed. Results: I(H 2 O), H 2 O(I), I(fat), and fat(I) concentrations, normalized I concentration, and effective atomic number of corticomedullary phase and parenchymal phase in enhanced GSI-DECT in ischemic RCC group were all significantly lower than those in MF-RAML group (P < 0.05). CT value and absolute slope rate of spectral attenuation curve in two phases in ischemic RCC group were also significantly lower than those in MF-RAML group (P < 0.05). Conclusion: GSI-DECT has provided a new idea and method for differential diagnosis of ischemic RCC and MF-RAML, with high-clinical values.


Print this article
Search
 Back
 
  Search Pubmed for
 
    -  Wan Y
    -  Guo H
    -  Ji L
    -  Li Z
    -  Gao J
 Citation Manager
 Article Access Statistics
 Reader Comments
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed232    
    PDF Downloaded15    

Recommend this journal