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Small (< 4 cm) clear cell renal cell carcinoma: correlation between CT findings and histologic grade

Authors
Choi, Soo YeonSung, Deuk JaeYang, Kyung SookKim, Kyeong AhYeom, Suk KeuSim, Ki ChoonHan, Na YeonPark, Beom JinKim, Min JuCho, Sung BumLee, Jeong Hyeon
Issue Date
6월-2016
Publisher
SPRINGER
Keywords
Multidetector computed tomography; Contrast media; Kidney neoplasms; Carcinoma, renal cell; Clear cell renal cell carcinoma
Citation
ABDOMINAL RADIOLOGY, v.41, no.6, pp.1160 - 1169
Indexed
SCIE
SCOPUS
Journal Title
ABDOMINAL RADIOLOGY
Volume
41
Number
6
Start Page
1160
End Page
1169
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/88438
DOI
10.1007/s00261-016-0732-9
ISSN
2366-004X
Abstract
To evaluate the correlation between CT findings and histologic grade of small clear cell renal cell carcinoma (ccRCC). CT scans of 101 patients with small ccRCC were reviewed independently by two radiologists for tumor size, shape, margin, encapsulation, enhancement pattern, and visual relative enhancement. Enhancement patterns were defined according to the percentage of uniform enhancement [pattern 1, homogeneous (a parts per thousand yen90%); pattern 2, relatively homogeneous (a parts per thousand yen75 and < 90%); and pattern 3, heterogeneous (< 75%)]. Quantitative parameters representing attenuation and degree of enhancement were calculated. Histologic grade was classified as low (Fuhrman grade I or II) and high (Fuhrman grade III or IV). CT imaging variables were analyzed using univariate and multivariate analyses. A total of 63 low-grade and 38 high-grade small ccRCCs were assessed. Low-grade tumors differed from high-grade tumors with respect to enhancement pattern 1 or 2 (p < 0.001 and p < 0.001), smaller size (p = 0.002 and p = 0.001), and lower attenuation on unenhanced scan (p < 0.001 and p = 0.008). In multivariate analysis, enhancement pattern 1 or 2 and low attenuation (a parts per thousand currency sign30 HU) were identified as independent predictors of low-grade ccRCC. Accuracy derived from logistic regression analysis was 79.2% for reader 1 and 70.3% for reader 2. CT imaging features including tumor attenuation and enhancement pattern can be useful to predict the biologic behavior of small ccRCC for adequate treatment strategy.
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