Affiliation:
1. UNIVERSITY OF HEALTH SCIENCES, ELAZIĞ HEALTH RESEARCH CENTER
2. FIRAT UNIVERSITY
Abstract
Objective: The goal of this research is to evaluate the efficiency of computed tomography texture analysis in differentiating renal cell carcinoma from a high-attenuation renal cyst on non-contrast computed tomography.
Methods: Forty-nine non-contrast abdominal computed tomography examinations, 27 patients with high-attenuation renal cyst and 22 patients with renal cell carcinoma were evaluated retrospectively. Region of interest was drawn to cover the entire lesion in the sections. Gray-level intensity (Hounsfield Unit value), entropy, standard deviation, uniformity, kurtosis, skewness, size% lower, size % mean, size% upper, values were obtained by texture analysis. The findings of both groups were compared statistically.
Results: Mean and median gray-level intensity values and entropy values were significantly higher in renal cell carcinoma than in high-attenuation renal cyst (p
Publisher
Dicle Medical Journal/Dicle Tip Dergisi
Subject
General Earth and Planetary Sciences,General Engineering,General Environmental Science
Reference23 articles.
1. 1.Ng CS, Wood CG, Silverman PM, et-al. Renal cellcarcinoma: diagnosis, staging, and surveillance. AJRAm J Roentgenol. 2008; 191: 1220-32.
2. 2.Ferlay J, et al. GLOBOCAN 2012 v1. 0, Cancerincidence and mortality worldwide: IARCCancerBase No. 11. 2013. [accessed on Aug 4,2016];International Agency for Research on CancerWeb site. 2016 Available online:http://globocan.iarc.fr.
3. 3.Bakır Ş, Özekinci Selver. The PrognosticSignificance of the KI-67 and CD-44 in Renal CellCarcinomas. Dicle Med J. 2005; 32: 123-30.
4. 4.Federle MP, Jeffrey RB, Woodward PJ, et al.Diagnostic Imaging: Abdomen, Published byAmirsys®. Lippincott Williams & Wilkins. (2009)ISBN:1931884714
5. 5. Ward RD, Tanaka H, Campbell SC, Remer EM. 2017AUA renal mass and localized renal cancerguidelines: imaging implications. RadioGraphics.2018; 38: 2021–33.